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. Author manuscript; available in PMC: 2011 Dec 1.
Published in final edited form as: Neurocase. 2010 Jun 2;16(6):466–487. doi: 10.1080/13554791003730600

Visual Spatial Cognition in Neurodegenerative Disease

Katherine L Possin 1
PMCID: PMC3028935  NIHMSID: NIHMS262114  PMID: 20526954

Abstract

Visual spatial impairment is often an early symptom of neurodegenerative disease; however, this multi-faceted domain of cognition is not well-assessed by most typical dementia evaluations. Neurodegenerative diseases cause circumscribed atrophy in distinct neural networks, and accordingly, they impact visual spatial cognition in different and characteristic ways. Anatomically-focused visual spatial assessment can assist the clinician in making an early and accurate diagnosis. This article will review the literature on visual spatial cognition in neurodegenerative disease clinical syndromes, and where research is available, by neuropathologic diagnoses. Visual spatial cognition will be organized primarily according to the following schemes: bottom-up / top-down processing, dorsal / ventral stream processing, and egocentric / allocentric frames of reference.

Introduction

When we look at and interact with the visual world in all its detail, the process usually feels effortless, but in reality highly complex cognitive processes are occurring, enabling us to see, touch objects, navigate, and remember where we have been. Depending on our needs, we must quickly and accurately direct our attention to what is relevant while suppressing what is irrelevant, create brief or lasting visual representations in our minds, manipulate mental representations to guide our behavior, and find our way through familiar or new environments. Thinking about these many components of visual spatial cognition is not as intuitive as thinking about verbal cognition, but spatial cognition is at least as important for successful everyday functioning. Elderly persons with declines in spatial functioning frequently report difficulties, such as feeling unsafe when driving, having trouble navigating new routes, and forgetting where they placed their keys or parked their car. These subtle declines seen in the healthy elderly are even more pronounced and have a greater impact on function in most types of neurodegenerative disease (Amick, Grace, & Ott, 2007; F. K. Cormack, Tovee, & Ballard, 2000; Dawson, Anderson, Uc, Dastrup, & Rizzo, 2009).

In this review, I propose a multi-faceted model of visual spatial cognition that can help elucidate the specific patterns of visual spatial dysfunction associated with Alzheimer's disease, Parkinson's disease, Lewy Body Dementias, Corticobasal Syndrome, Progressive Supranuclear Palsy, and Frontotemporal Lobar Degeneration. These neurodegenerative disease syndromes impact the brain in characteristic topographic patterns of neuropathology, particularly during early stages (Seeley, Crawford, Zhou, Miller, & Greicius, 2009). Disease-related impairments in visual spatial cognition are manifestations of these anatomic patterns, and so performance on tests of spatial cognition can have implications for differential diagnosis and for monitoring disease progression. The purpose of this article is to discuss how visual spatial cognition is impacted by neurodegenerative diseases, and how these impairments relate to the underlying pathology.

Facets of Visual Spatial Cognition

Visual spatial cognition is composed of a multi-faceted set of functions mediated by a predominantly right-hemisphere network of widely-distributed brain regions including the parietal lobes, lateral prefrontal cortex, medial temporal lobes, inferior temporal cortex, occipital cortex, basal ganglia, and white matter tracts. This domain of cognition includes skills as diverse as orienting attention and navigation learning. In this review visual spatial cognition is organized primarily according to 3 schemes: bottom-up / top-down cognition, dorsal / ventral stream processing, and egocentric / allocentric frames of reference.

Visual information is processed in both a bottom-up and top-down fashion. Bottom-up visual processing in the geniculostriate system follows a set anatomical and functional pathway from early sensory processing areas to progressively more specialized modules (Barton, 1998). Visual information enters the brain through the retina, passing through the axons of ganglion cells that form the optic nerve and optic tract. Cells in the geniculostriate system send information through the lateral geniculate body of the thalamus and then to the primary visual cortex. The primary visual cortex (V1) sends axons through secondary and tertiary processing areas (e.g., V2-V5) where cells respond to increasingly complex aspects of visual experience and have larger receptive fields (see Figure 1). Color and form information processing follows a ventral pathway through V2 and V4. V2 is tuned to simple attributes of visual experience such as orientation, spatial frequency, and color, whereas V4 is also tuned to object features of intermediate complexity such as geometric shapes. This pathway continues to inferior temporal cortex where progressively more complex aspects of visual object processing are accomplished, such as face perception. Bottom-up processing of motion and location information follows a dorsal pathway through V2 and V3. Dorsal V3 appears to be specialized for global motion detection (Braddick et al., 2001). V5, also called “MT,” is specialized for local motion detection and receives some direct visual inputs that bypass V1 (Zeki, 2008). The dorsal pathway continues to posterior parietal cortex where complex aspects of space perception, such as perceiving details of a scene as an integrated percept, are accomplished. Lesions in the earliest visual processing areas, from the optic nerve to primary visual cortex, result in total blindness in all or part of the visual field (Stoerig & Cowey, 1997). In contrast, lesions in the visual association areas, where subsequent processing occurs, distort the attributes of visual experience processed by those areas.

Figure 1.

Figure 1

As visual information travels from primary visual cortex (V1) through secondary and tertiary processing areas (V2-V5), increasingly more complex aspects of visual experience are processed and cells are tuned to larger receptive fields. Color and form information is processed by a ventral pathway via V2, V4, and inferior temporal cortex. Location and motion information is processed by a dorsal pathway via dorsal V2 and V3, V5, and posterior parietal cortex.

Top-down visual processing refers to executive aspects, which are primarily mediated by lateral prefrontal cortex, parietal cortex, and frontal-striatal circuits (Kastner & Ungerleider, 2000; E. K. Miller & Cohen, 2001). These control system functions include selecting visual information for detailed processing, organizing complex visual information, mediating voluntary shifts of attention, inhibiting irrelevant information, planning how to use visual information to achieve behavioral goals, unifying percepts of ambiguous visual stimuli, and manipulating or updating visual information represented in the posterior cortex by bottom-up systems. Attentional enhancement appears to follow the reverse order of bottom-up systems; for example, earlier and larger responses to attended stimuli are seen in V4 than in V1 (Buffalo, Fries, Landman, Liang, & Desimone, 2009).

Top-down systems depend on the integrity of bottom-up systems. For example, if a patient's ability to perceive or mentally represent where objects are located in space is impaired due to bottom-up system compromise, the patient will not be able to manipulate that information in spatial working memory or utilize that information to plan a sequence of movements. Performance on top-down tests should be interpreted relative to performance on tests of more fundamental visual processing, such as tests of simple figure copy, visual search, judgment of line orientation, and face perception (Strauss, Sherman, & Spreen, 2006). Newer test batteries such as the Delis-Kaplan Executive Function System include test conditions designed to parse out fundamental component skills and isolate executive processes (Delis, Kaplan, & Kramer, 2001). For example, performance on a test of complex visuomotor sequencing can be evaluated relative to performance on tests of motor speed, visual scanning, and simple sequencing.

A second distinction in visual cognition is dorsal and ventral stream processing. Visual processing pathways in the posterior cortex are segregated such that the dorsal regions process space-based “where” information, and the ventral regions process object-based “what” information (see Figure 1) (Ungerleider & Mishkin, 1982). The dorsal pathway projects rostrally via the superior longitudinal fasciculus from dorsal occipital cortex to posterior parietal cortex. The posterior parietal cortex in each hemisphere is organized primarily for contralateral spatial function, although there is a predominant role for the right hemisphere in dorsal stream spatial functions in general. The dorsal stream system has close ties with the motor system and codes the locations of objects and their movement in terms of how one would acquire or act upon them. For this reason, the dorsal stream has also been termed the “how” stream (Goodale & Milner, 1992). The ventral pathway projects rostrally via the inferior longitudinal fasciculus from ventral occipital cortex into inferior temporal cortex. This system codes non-spatial features of objects relevant to their identity, for example color and form. Inferior temporal cortex is organized for both contralateral and ipsilateral function, because inferior temporal areas receive heavy input from striate cortex via the corpus callosum representing the ipsilateral visual field. The Visual Object and Space Perception battery can be used to evaluate separately dorsal and ventral stream processing because it is divided into subtests that emphasize either object or space perception (Warrington & James, 1991).

The segregation of “where” and “what” information is not as clear in the prefrontal cortex, where there is evidence that the dorsal and ventral areas may be segregated by the type of processing required as well as the type of information to be processed (Courtney, 2004; Wager & Smith, 2003). Select deficits in top-down aspects of spatial (versus object-based or verbal) processing can be seen in some patients with Parkinson's disease, Corticobasal Syndrome, and Progressive Supranuclear Palsy, however, indicating some dissociation for space-based information in frontal-subcortical systems and the need to include executive function tests that utilize space-based information in dementia evaluations.

A third critical distinction in visual spatial cognition is that of egocentric and allocentric reference frames. In the egocentric reference frame, object locations are processed in reference to the self, and this self-based map is updated as we move through the environment. This reference frame is particularly important (1) when we need to update spatial information on a moment-to-moment basis as we move through the environment, and (2) when we have navigated along the same path so many times that our movement along that path becomes routine (Ball, Smith, Ellison, & Schenk, 2009; Postle & D'Esposito, 2003; Whishaw, 1985). In the allocentric reference frame, object locations are processed in reference to each other or fixed landmarks, independent of one's position in the environment. This reference frame is important for developing cognitive maps (O'Keefe & Nadel, 1978). The egocentric frame of reference relies critically on the dorsal caudate nucleus, the posterior parietal cortex, the precuneus, and the lateral frontal cortex (Iaria, Petrides, Dagher, Pike, & Bohbot, 2003; McDonald & White, 1994; Packard & McGaugh, 1992; Postle & D'Esposito, 2003; Spiers & Maguire, 2007; Weniger, Ruhleder, Wolf, Lange, & Irle, 2009) whereas the allocentric frame of reference relies on the medial temporal lobe, including the hippocampus, and interactions with occipito-temporal (ventral stream) structures (Bohbot, Iaria, & Petrides, 2004; Bohbot, Lerch, Thorndycraft, Iaria, & Zijdenbos, 2007; Byrne, Becker, & Burgess, 2007; Doeller, King, & Burgess, 2008; Gramann, Muller, Schonebeck, & Debus, 2006; Iaria, Chen, Guariglia, Ptito, & Petrides, 2007; Maguire et al., 1998). While parietal cortex is understood to play a critical role in the egocentric network, it has in some studies been implicated in the allocentric network (Burgess, 2008; Iaria et al., 2003), and is likely essential for integrating these frames of reference.

The vast majority of research on egocentric and allocentric navigation learning has been conducted with rodents, and many of these studies have used adaptations of the Morris Water Maze task (R. Morris, 1984). In the typical version of this paradigm, a rodent is placed in a pool of water with a hidden escape platform. By varying the presence and position of extra-maze (“distal”) cues or intra-maze (“proximal”) cues relative to where the rodent is placed in the pool, researchers can evaluate the integrity of different navigation strategies. For example, in one classic version of this task, a rat is placed in a pool that is surrounded by distal landmarks. After it learns the position of the platform, it is then placed back in the pool at a different starting point, relative to the platform. If the rat executes the same motor program (i.e., it swims in the same direction from the starting point regardless of the distal landmarks), it is using an egocentric navigation strategy. If the rat changes its motor program to find the platform based on the constellation of distal cues, it is using an allocentric strategy. Research studies using the Morris Water Maze have demonstrated a critical role for the hippocampus in allocentric navigation, and a critical role for the dorsal striatum in egocentric navigation (McDonald & White, 1994; Miranda, Blanco, Begega, Rubio, & Arias, 2006; Pearce, Roberts, & Good, 1998).

At present, there are no clinically available tests to measure allocentric and egocentric processing. New virtual reality techniques show promise for translating insights from studies of allocentric and egocentric navigation in rodents to the study of navigation in humans (Cushman, Stein, & Duffy, 2008; Weniger et al., 2009). These techniques combine the rigor and control of laboratory measures with the ecological validity of real life situations. For example, our laboratory evaluates allocentric navigation using a virtual reality version of the Morris Water Maze (Figure 2). Subjects are placed in a new starting position on each trial in a circular field, and search for a hidden treasure. The only stable referents relative to the treasure are the distal landmarks that surround the circular field. Thus, the subject must develop a cognitive map of the virtual environment to find the treasure and cannot rely on a route-based (egocentric) strategy. More work is needed to validate and standardize allocentric and egocentric tests for clinical purposes.

Figure 2.

Figure 2

A screen shot from an allocentric virtual navigation task we are using in our laboratory that is based on the Morris Water Maze. Subjects are virtually placed in a new starting position on each trial and navigate through the circular field to find a hidden treasure. The subjects must develop a cognitive map of the treasure's position relative to the distal cues to find the treasure because the route changes on each trial.

In this review, the constellations of visual spatial cognitive impairments in Alzheimer's disease, Parkinson's disease, Lewy Body Dementias, Corticobasal Syndrome, Progressive Supranuclear Palsy, and Frontotemporal Lobar Degeneration will be reviewed with a focus on the facets of visual spatial cognition, outlined above (see Table 1). It should be emphasized that in many respects, this research is in early stages. The impairments will be related to the topographic patterns of disease-related neuropathology. Careful evaluation of spatial cognitive functions using anatomically-specific methods can provide information about which neural networks are impacted by the disease, and therefore, can assist the clinician in making an accurate early diagnosis and monitoring disease progression and response to treatment.

Table 1. Typical Constellation of Visual Spatial Impairments in the Early Stages of Neurodegenerative Diseases.

Bottom-up / top-down Dorsal / ventral Allocentric / egocentric
Alzheimer's disease Bottom-up most patients, although some patients show top-down Both are often affected Allocentric
Posterior cortical atrophy Bottom-up, all patients Dorsal more than ventral, although both are affected with disease progression Patients cannot use either frame of reference well due to severe bottom-up impairments
Parkinson's disease Top-down Dorsal Egocentric
Lewy body dementias Both, nearly all patients Both, nearly all patients Unknown, likely both in most patients
Corticobasal syndrome Variable, top-down likely more common but in some patients bottom-up can be prominent, as discussed in text When visual spatial processing is affected, dorsal impairments are usually more severe Unknown, likely egocentric
Progressive supranuclear palsy Top-down attentional impairment is common Patients have difficulty orienting spatial attention, but cortical dorsal / ventral streams are usually intact Unknown, likely egocentric
Behavioral variant frontotemporal dementia Top-down, most patients, although in early stages no visual spatial impairment may be evident Not impaired Unknown, may vary with pathologic subtypes
Semantic dementia and Progressive nonfluent aphasia Not impaired Neither impaired early, although SD may affect ventral stream processing with disease progression Not impaired

Alzheimer's Disease

Cortical atrophy in Alzheimer's disease (AD) is most pronounced in the medial temporal and posterior temporoparietal regions (Ishii et al., 2005; Rabinovici et al., 2007). The primary visual cortex tends to be more spared than the visual association areas. Neuropathologically, the earliest changes in the typical case occur in the hippocampus and entorhinal cortex and then progress to the parietal, temporal, and frontal lobes (Braak & Braak, 1998; Gomez-Isla et al., 1996). Early-onset cases tend to show less prominent hippocampal involvement, greater atrophy in parietal and occipital cortex, and in many cases more severe impairment on visual spatial testing that can present before memory impairment (Frisoni et al., 2007; Fujimori et al., 1998).

AD can impact most aspects of visual processing, consistent with the impact of the disease on both dorsal and ventral stream areas. Patients are impaired in dorsal stream functions such as angle discrimination and motion perception (Mapstone, Dickerson, & Duffy, 2008; Prvulovic et al., 2002; Rizzo, Anderson, Dawson, & Nawrot, 2000; Tippett & Black, 2008), and ventral stream functions such as the perceptual discrimination and recognition of faces, colors, and objects (Cronin-Golomb, Sugiura, Corkin, & Growdon, 1993; Kurylo et al., 1994; Rizzo et al., 2000). Contrast sensitivity deficits are also prominent in AD (Gilmore & Levy, 1991; Hutton, Morris, Elias, & Poston, 1993), and enhancing the strength of stimuli has been shown to ameliorate performance on tests of letter identification, word reading, picture naming, and face discrimination (Cronin-Golomb, Gilmore, Neargarder, Morrison, & Laudate, 2007). Tests of visual cognition that require the integration of visual information processed by separate regions in visual association cortex can be particularly sensitive to the effects of AD (e.g., tests of complex figure copy, mental rotation, and visual organization; (Festa et al., 2005; Freeman et al., 2000; Lineweaver, Salmon, Bondi, & Corey-Bloom, 2005; Paxton et al., 2007), perhaps due to the effects of the disease on multiple visual areas that are compounded by these integration tasks. Visual acuity, however, is relatively spared (Cronin-Golomb et al., 1991; Rizzo et al., 2000), except in patients who present with a Posterior Cortical Atrophy syndrome, discussed below.

A tendency to get lost is a common and often early symptom of AD (Monacelli, Cushman, Kavcic, & Duffy, 2003; Pai & Jacobs, 2004), consistent with the critical role of the medial temporal lobes and parietal cortex in navigation learning and spatial memory (Astur, Taylor, Mamelak, Philpott, & Sutherland, 2002; Burgess, 2008; R. G. Morris, Garrud, Rawlins, & O'Keefe, 1982). Navigation learning has been extensively studied in transgenic mouse models of AD; for example, transgenic hAPP mice with hippocampal damage are impaired in the use of allocentric cues on a Morris Water Maze task (Deipolyi et al., 2008). By translating findings from the rodent literature, researchers have been able to design tests to evaluate navigation learning in Alzheimer's disease in an anatomically-focused manner. DeIpolyi and colleagues (deIpolyi, Rankin, Mucke, Miller, & Gorno-Tempini, 2007) tested patients with mild AD on a real-world test of navigation learning. The patients were more likely to get lost than controls and were deficient at learning the locations of landmarks, and these impairments were associated with smaller right posterior hippocampal and parietal volumes. New virtual reality techniques are showing promise in translational research for refining our understanding of navigation impairments in AD, and tests that emphasize allocentric navigation may be particularly sensitive (Bohbot et al., 2007; Burgess, Trinkler, King, Kennedy, & Cipolotti, 2006; Cushman et al., 2008; Ishii et al., 2005).

Posterior Cortical Atrophy

Posterior Cortical Atrophy (PCA) is a clinical syndrome associated with prominent bottom-up visual spatial impairments and relative preservation of memory, insight, and judgment (Benson, Davis, & Snyder, 1988). PCA is associated with atrophy in the occipital, parietal, and posterior temporal lobes (Whitwell, Jack et al., 2007). Pathologically, PCA is usually a form of Alzheimer's disease with greater neurofibrillary tangle burden in the visual cortex and lower burden in the hippocampus (Alladi et al., 2007; Tang-Wai et al., 2004). In comparison to typical AD cases, PCA patients show selective hypometabolism of the occipito-parietal regions, right worse than left (Nestor, Caine, Fryer, Clarke, & Hodges, 2003).

McMonagle and colleagues (McMonagle, Deering, Berliner, & Kertesz, 2006) characterized 19 patients with PCA. The most common clinical features were primarily dorsal stream (occipito-parietal) abnormalities and included features of Balint's syndrome including simultanagnosia and optic ataxia, and alexia and agraphia out of proportion to other language abnormalities that do not rely on visual processing. In addition, when presented with hierarchically constructed stimuli, the patients demonstrated impairments at processing the global features, which is consistent with right hemisphere dysfunction (Delis, Robertson, & Efron, 1986; Robertson, Lamb, & Knight, 1988). For example, when shown a complex picture, they would focus on individual elements and were poor at interpreting the overall scene. In addition, when shown Navon figures, which are compound figures in which a larger global letter is composed of a different, repeated, smaller letter (Navon, 1977), the patients were impaired in identifying the global letter even when cued to do so (see Figure 3 for an example of Navon figures). Ventral stream aspects of spatial cognition, such as recognizing objects, faces, and colors, tended to be less impacted than dorsal stream aspects (McMonagle et al., 2006; Nestor et al., 2003).

Figure 3.

Figure 3

Navon figures. Patients with impaired global processing will identify the smaller letters but will fail to identify the global letters (i.e., in this example, they would report seeing only an E in the first figure and an A in the second figure).

Parkinson's Disease

The primary neuropathological features of Parkinson's disease (PD) are the formation of alpha-synuclein inclusion body pathology (Lewy bodies and Lewy neurites) that are distributed throughout the nervous system (Braak & Del Tredici, 2008), and the degeneration of the dopamine producing cells of the substantia nigra pars compacta, which project to the striatum (i.e., the caudate nucleus and putamen; (Agid, 1991). Dopamine depletion in the caudate nucleus and its impact on the frontal-striatal circuits is thought to be the primary substrate of cognitive sequelae (DeLong & Wichmann, 2007; Marie et al., 1999; Owen, 2004; Sawamoto et al., 2008). Circuits critical for top-down control and dorsal stream processing are particularly affected. Dopamine depletion in the caudate nucleus is uneven with the greatest loss in the anterodorsal extent of the head (Joyce, 1993; Kaufman & Madras, 1991; Kish, Shannak, & Hornykiewicz, 1988), a subregion which receives massive projections from the dorsolateral prefrontal cortex and posterior parietal cortex (Baizer, Desimone, & Ungerleider, 1993; Yeterian & Pandya, 1991, 1993).

Patients with PD without dementia typically show numerous strengths on neurocognitive testing. For example, these patients generally perform within normal limits or show very mild impairment on tests tapping language, episodic memory, abstract reasoning, problem solving, concept formation, and bottom-up visual cognition. PD has subtle and circumscribed effects on aspects of working memory and attention, however, that can impact everyday functioning (Salmon & Filoteo, 2007; Uc et al., 2007). Several studies have examined the nature of these impairments. In general, working memory for spatial information is more impaired than working memory for object-based or verbal information, particularly during early disease stages (Owen, Iddon, Hodges, Summers, & Robbins, 1997; Postle, Jonides, Smith, Corkin, & Growdon, 1997). Whereas verbal working memory is often intact for simple span tasks but impaired for complex span tasks (e.g., involving the mental manipulation of memoranda), spatial working memory is impaired for both simple and complex span tasks (Siegert, Weatherall, Taylor, & Abernethy, 2008). The spatial working memory deficit appears to emerge after very brief maintenance intervals (e.g., 1s) and not worsen with increasing intervals, which suggests that the selective spatial impairment involves an early stage of working memory processing, such as encoding or attention (Possin, Filoteo, Song, & Salmon, 2008).

The nature of attentional impairment in PD has been examined, and there is some evidence that space-based aspects of attention are the most impacted, similar to the pattern of working memory deficits. For example, PD patients have shown a selective impairment in space-based inhibition of return (Possin, Filoteo, Song, & Salmon, 2009), an attentional phenomenon thought to be critical for efficient visual search (Posner & Cohen, 1984). Typically, when a person's attention is cued to a location in the periphery, a target presented in that location enjoys an immediate processing advantage as compared to a target presented in another location. However, if more than 300 ms elapses following the cue, attention is biased away from the cued location in favor of novel locations. This ‘inhibition of return’ can be directed at objects as well as locations; for example, inhibition is greater when objects surround the cues and targets, presumably because inhibition is directed to both the location of the cue and the object associated with the cued location (Leek, Reppa, & Tipper, 2003). PD patients have shown reduced inhibition of return associated with a cued location, but when the stimuli display was altered so that objects surrounded the cues and targets; the patients showed the same magnitude of inhibition of return as controls (Possin et al., 2009). These results suggest that the patients were impaired at inhibiting their attention in a space-based frame of reference but were able to overcome their impairment when they could direct their attention to objects.

Attention deficits in PD appear to be mediated by impaired inhibitory processes (Filoteo, Rilling, & Strayer, 2002; Gurvich, Georgiou-Karistianis, Fitzgerald, Millist, & White, 2007). Although nondemented PD patients often perform similarly to neurologically healthy individuals on tests that require the facilitatory aspects of orienting (Bennett, Waterman, Scarpa, & Castiello, 1995; Goldman, Baty, Buckles, Sahrmann, & Morris, 1998), they frequently are impaired when conditions promote a conflict between task-relevant and irrelevant information, such as on tests of selective attention (Filoteo, Maddox, Ing, & Song, 2007), negative priming (Mari-Beffa, Hayes, Machado, & Hindle, 2005), set shifting (Downes et al., 1989), and inhibition of return. Inhibitory attention and working memory involve overlapping processes, and space-based and object-based aspects of these processes are functionally and neurally separable (Chou & Yeh, 2008; Simmonds, Pekar, & Mostofsky, 2008; Zhou & Chen, 2008). It may be at this intersection of working memory and inhibitory attention, for space-based information in particular, that PD patients can show their earliest cognitive impairments.

It is not known whether PD patients show more impairment in egocentric aspects of space-based processing than allocentric aspects, but there is reason to suspect based on the impact of PD pathology on caudate nucleus function that the disease may have a greater impact on egocentric processing. Packard & McGaugh (Packard & McGaugh, 1996) showed that when rats were given lidocaine injections to inactivate the hippocampus, allocentric place learning was impaired, i.e., the rats were not able to use the location of distal cues to choose the arm of a maze where food is located. In contrast, rats given injections to inactivate the dorsolateral caudate nucleus were impaired in using an egocentric response strategy, i.e., the rats could not learn to follow a path such as turning left irrespective of distal cues. A similar double dissociation has been shown using fMRI while human subjects performed a virtual reality navigation task (Iaria et al., 2003). Subjects who used distal cues to navigate showed increased activation in the right hippocampus, whereas subjects who used a response strategy showed increased activation in the caudate nucleus. Although research is needed to directly compare egocentric to allocentric spatial cognition in PD, these patients have shown evidence of disrupted egocentric cognition including constricted representations of the distances between their body and external space (Lee, Harris, Atkinson, & Fowler, 2001; Skidmore et al., 2009) and shifts in egocentric midline estimation such that patients with predominantly left-sided motor symptoms have shown a rightward shift, and patients with predominantly right-sided motor symptoms have shown a leftward shift (Davidsdottir, Wagenaar, Young, & Cronin-Golomb, 2008).

Lewy Body Dementias

Dementia is a frequent complication of Parkinson's disease. Prevalence estimates are about 30% in community based samples of individuals with Parkinson's disease (Aarsland, Zaccai, & Brayne, 2005), and recent longitudinal studies indicate that approximately 80% of Parkinson's patients develop dementia before death (Galvin, Pollack, & Morris, 2006; Hely, Reid, Adena, Halliday, & Morris, 2008). Onset of dementia in PD is more rapid in patients with a non-tremor dominant phenotype and in patients who show posterior cortical impairments on neuropsychological testing, including visual spatial construction impairment (Burn et al., 2006; Williams-Gray, Foltynie, Brayne, Robbins, & Barker, 2007).

In contrast to patients with Parkinson's disease with dementia (PDD), patients with Dementia with Lewy Bodies (DLB) show cognitive impairment prior to or within one year of extrapyramidal motor symptoms (Emre et al., 2007; McKeith et al., 2005). Other than the chronology of symptom progression, these disorders are much more similar than they are different. The DLB/PDD Working Group proposed the umbrella term “Lewy body dementias” to reflect the clinical and pathological convergence of these disorders and the value of treating them as overlapping entities when investigating and treating the underlying neurobiology (Lippa et al., 2007).

The neuropsychological phenotype of both PDD and DLB involves pronounced visual spatial, attention, and executive impairments (Metzler-Baddeley, 2007; Troster, 2008). According to most studies that have compared these disorders, when matched on overall severity of dementia, they differ minimally in their patterns of cognitive impairment and both disorders are associated with parkinsonism, attentional fluctuations, and visual hallucinations (Aarsland et al., 2003; Ballard et al., 2002; Janvin et al., 2006; Noe et al., 2004). Overlapping pathologic substrates of DLB and PDD include α-synuclein pathology, neuronal loss, and degeneration of the basal forebrain. Alpha-synuclein pathology in the central nervous system progresses in a characteristic and ascending pattern from the olfactory tract and the brainstem, to the nigrostriatal system, to cortex (Braak & Del Tredici, 2008). Cortical atrophy is less severe and widespread than in AD (Whitwell, Weigand et al., 2007). Cholinergic depletion is more severe in Lewy body dementias than in AD, and both DLB and PDD patients have shown improvements in attention after taking cholinesterase inhibitors (Emre et al., 2004; Giladi et al., 2003; Rowan et al., 2007). One difference in the neuropathology between DLB and PDD is that a co-association with Alzheimer's pathology is more common in DLB, which may contribute to the more rapid progression to dementia relative to the onset of motor symptoms (Edison et al., 2008; Gomperts et al., 2008).

Numerous studies have focused on identifying neuropsychological variables that allow discrimination between Lewy body dementias and AD (for a more comprehensive review on this topic, see (Troster, 2008). These studies are important because compared to patients with AD, patients with Lewy body dementia may show greater response to cholinesterase inhibitors (E. K. Perry et al., 1994; Tiraboschi et al., 2002) and abnormal sensitivity to neuroleptic drugs (Aarsland, Perry et al., 2005). The overall pattern emerging from these studies is that Lewy body dementia patients show more severe and pervasive visual spatial, attentional, and executive impairments than AD, whereas AD patients show more severe memory impairment. Visual spatial deficits are a particularly important component of differential diagnosis from AD (Aarsland et al., 2003; Collerton, Burn, McKeith, & O'Brien, 2003; Johnson, Morris, & Galvin, 2005). Although patients with AD are frequently impaired on tests of visual spatial construction, patients with Lewy body dementia are usually more impaired on these tests early in the disease. For example, patients with DLB frequently fail to copy accurately the interlocking pentagons on the MMSE even when global cognitive impairment is mild (Hanyu et al., 2006; Tiraboschi et al., 2006). Tiraboschi and colleagues (2006) demonstrated that the presence of visual spatial impairment early in the course of dementia substantially improved the sensitivity of predicting pathology-proven DLB versus pure AD. An absence of visual spatial impairment had a negative predictive value of 90%, which was higher than visual hallucinations or extrapyramidal signs. Identification of visual spatial impairment is important not only for designating individuals whose clinical syndrome is impacted more by Lewy body formation than AD pathology, but also for predicting which patients with DLB will have a more malignant disease course (Hamilton et al., 2008).

Performance on construction tasks in Lewy body dementias is affected by impairments in visual perception and pre-attentive visual processing. These early aspects of bottom-up visual cognition are typically more impaired in Lewy Body dementias than AD, and likely play an important role in their more severe construction deficits. DLB patients are more impaired than AD patients on tests of visual search, with more severe relative impairment on parallel ‘pop-out’ search in contrast to top-down serial search (F. Cormack, Gray, Ballard, & Tovee, 2004; Noe et al., 2004). Calderon et al. (Calderon et al., 2001) compared patients with DLB to patients with AD on the Visual Object and Space Perception Battery (Warrington & James, 1991), a set of tasks that emphasize bottom-up aspects of visual cognition and place minimal demands on motor functions. DLB patients showed more severe impairments than AD patients on tests tapping both ventral stream (Fragmented Letters and Object Decision) and dorsal stream (Cube Analysis) aspects of visual perception. Similarly, Mosimann et al. (Mosimann et al., 2004) found that DLB and PDD patients showed more severe impairments than AD patients on tests tapping both ventral stream (tests of object and form perception) and dorsal stream function (tests of dot position and motion perception). These comparisons of bottom-up visual spatial processing suggest more severe posterior cortical dysfunction in Lewy body dementia. Consistent with these findings, both DLB and AD patients show hypoperfusion and hypometabolism in the parietal and temporal lobes, but only DLB patients show hypoperfusion and hypometabolism in the occipital lobes including the primary visual cortex (Lobotesis et al., 2001; Minoshima et al., 2001; Sato et al., 2007; Shimizu et al., 2008), which is the most critical cortical region for early aspects of bottom-up visual processing. Abnormalities in morphology and synuclein expression in the retina may also impact visual perception in DLB (Maurage, Ruchoux, de Vos, Surguchov, & Destee, 2003).

Visual hallucinations are common in Lewy body dementias, and appear to share an overlapping neural basis with visual perceptual disturbance. Both visual hallucinations and visual perceptual impairments have been related to Lewy body pathology in neocortex (Tiraboschi et al., 2006; Williams, Warren, & Lees, 2008), hypoperfusion and hypometabolism in the dorsal and ventral visual pathways (Matsui et al., 2007; Mori, Ikeda, Fukuhara, Nestor, & Tanabe, 2006; Perneczky et al., 2008), and cholinergic dysfunction (Bohnen et al., 2006; McKeith, Wesnes, Perry, & Ferrara, 2004). Visual hallucinations have been associated with Lewy body counts in the amygdala, parahippocampal, and inferior temporal cortices (Harding, Broe, & Halliday, 2002), which suggests a ventral stream basis for this clinical feature. In contrast, an inverse relationship between persistent visual hallucinations and tangle pathology has been reported (Ballard et al., 2004). Typically, hallucinations are complex visions of animals or people, occur daily for minutes at a time, and are experienced as unpleasant by the patient (Mosimann et al., 2006). Visual hallucinations, like visual spatial impairment, are useful for determining whether a patient's clinical syndrome is impacted by Lewy body pathology (Tiraboschi et al., 2006; Williams et al., 2008).

Corticobasal Syndrome

Corticobasal syndrome (CBS) characteristically presents with asymmetric rigidity and apraxia with additional cortical (e.g., alien limb, cortical sensory loss, myoclonus) and basal ganglia (e.g., bradykinesia, dystonia) dysfunction (Boeve, 2007b). Diagnostic criteria emphasize a motor disorder, but there is increasing recognition that cognitive impairment and even dementia can present before motor dysfunction (Litvan et al., 2003; Litvan et al., 1999). A recent CBD criteria consensus conference will soon propose new criteria that will need to be tested prospectively (personal communication). Cognitive impairment profiles are quite variable; for example, patients presenting with greater left hemisphere pathology show marked language impairment, whereas patients presenting with greater right hemisphere pathology show marked visual spatial dysfunction (Boeve, 2007b). This syndrome has been historically linked to other akinetic-rigid diseases like Parkinson's disease because of the presence of extrapyramidal features, but there is increasing recognition that this syndrome has more in common with a subset of frontotemporal lobar degeneration disorders (which are discussed below), both because of the frequency of tau pathology and because of the overlap of cognitive and behavioral features in some patients (Josephs, 2008; Mathuranath, Xuereb, Bak, & Hodges, 2000).

Corticobasal degeneration (CBD) is a neuropathologic diagnosis characterized by atrophy, gliosis, and tau-immunoreactive pathology in the neocortex, basal ganglia, and substantia nigra (Ludolph et al., 2009). Historically, CBD was considered to be a distinct clinico-pathologic entity presenting with CBS (Rebeiz, Kolodny, & Richardson, 1968), but it is now understood that CBD frequently presents in other clinical syndromes, most often bvFTD and PNFA (Boeve, 2007a). Further complicating the diagnostic picture, only about half of patients presenting with the clinical diagnosis of CBS have CBD pathologically, whereas other common neuropathologic diagnoses include Alzheimer's disease, progressive supranuclear palsy, and Pick's disease (Alladi et al., 2007). Although several neuropathologic diagnoses can cause CBS, there is a characteristic distribution of pathology associated with this syndrome, predominantly involving the frontal and parietal cortex and the basal ganglia and tending to start asymmetrically (Boeve et al., 1999; Boxer et al., 2006; Gibb, Luthert, & Marsden, 1989). The temporal cortex, including the medial temporal lobe, is relatively spared.

Visual spatial dysfunction can be a prominent component of the clinical presentation of CBS (Bak, Crawford, Hearn, Mathuranath, & Hodges, 2005; Tang-Wai et al., 2003), although it should be noted that many patients present without clear visual spatial impairment (Borroni et al., 2008; Murray et al., 2007). This heterogeneity in visual spatial function is a manifestation of the heterogeneous patterns of cortical dysfunction associated with the syndrome, including the side of the brain most affected by the disease and the degree of posterior involvement. Rare cases have been reported where visual spatial dysfunction appeared as the first symptom. Tang-Wai and colleagues (2003) described two such patients, one whose initial symptoms included difficulty following printed material from line to line, drawing simple configurations, and reading and writing despite a preserved ability to listen to books on tape and dictate her thoughts. A second patient's early symptoms included difficulty in identifying coins, writing and manipulating objects, telling time, and differentiating right from left. These patients showed a greater burden of tau pathology in the visual association (Case 1) and posterior parietal cortex (Case 2) than other patients with CBD. Although visual spatial dysfunction is rarely such a prominent feature of early CBS as it was in these cases, there is some evidence that when visual spatial impairments are apparent, they may tend to involve more dorsal stream than ventral stream functions. For example, Bak and colleagues (Bak, Caine, Hearn, & Hodges, 2006) found that CBS patients were more likely to be impaired on space-based than object-based subtests of the Visual Object and Space Perception Battery. This pattern of greater dorsal stream impairment is consistent with the parietal and striatal dysfunction and relative preservation of the temporal cortex in CBS (Seeley et al., 2009).

CBS patients can show difficulty on tasks that require them to integrate spatial information with motor function. These patients can show impaired representation of how to use objects despite relatively intact object recognition (Silveri & Ciccarelli, 2007). In pre-dementia stages of the syndrome, gesture representation is typically intact and patients can comprehend gestures, but gesture production is frequently impaired; i.e., they know how to gesture but are unable to do it (Jacobs et al., 1999; Zadikoff & Lang, 2005). Similarly, Negash et al. (Negash et al., 2007) demonstrated that CBS patients were able to implicitly learn the structure of a spatial sequence that was visually presented to them, but they were unable to accurately execute that sequence. This pattern of impairment is consistent with the disproportionate effects of the disease on the dorsal stream regions in cortex, including the superior aspect of the parietal lobules (Boxer et al., 2006).

Progressive Supranuclear Palsy

Progressive supranuclear palsy (PSP), or Steele-Richardson-Olszewski syndrome, is characterized clinically by supranuclear gaze palsy, postural instability and falls, and akinetic-rigid features (Boeve, 2007b; Steele, Richardson, & Olszewski, 1964). The most striking pathologic feature of PSP is atrophy in the midbrain tegmentum, and atrophy is also seen in the pons, striatum, and frontal cortex (Boxer et al., 2006). Hypometabolism has been reported in the brainstem, medial thalamus, caudate nucleus, and medial frontal cortex (Eckert et al., 2008). PSP shares clinical features with CBD including atypical parkinsonism, and these disorders are genetically related and both associated with deposits of 4R tau. PSP is also pathologically distinct, however, and is associated with greater midbrain atrophy and less severe cortical atrophy than CBD (Boxer et al., 2006; Groschel, Kastrup, Litvan, & Schulz, 2006). PSP has historically been considered a classic example of “subcortical dementia” because the cognitive and behavioral features are attributed to the effects of the disease on subcortical regions and corresponding frontal lobe deafferentation whereas posterior cortex functions are relatively spared (Magherini & Litvan, 2005).

As compared to patients with CBS, patients with PSP in general show less severe impairments on tests of spatial cognition including visual construction tests, likely reflecting the relative preservation of posterior cortex in PSP (Bak et al., 2006; Bak et al., 2005; Garbutt et al., 2008). PSP patients can show marked impairments, however, on tests that rely on vertical eye movements, vertical shifts of covert attention, and on certain aspects of top-down spatial attention and working memory.

PSP is associated with dramatic eye movement abnormalities including impaired saccade velocity, saccade gain, and anti-saccades (Garbutt et al., 2008). Vertical saccades tend to be twice as slow as horizontal saccades (Bhidayasiri et al., 2001). Successful performance on many tests of spatial cognition relies on vertical saccades, for example, tests of figure copy, the Block Design subtest from the Weschler Adult Intelligence Scale (Wechsler, 1997), the Benton Judgment of Line Orientation Test (Benton, Varney, & Hamsher, 1978), and the Number-Location subtest from the Visual Object Space Perception Battery. PSP patients can show deficits on these classic spatial tests (Bak et al., 2006; Garbutt et al., 2008; Soliveri et al., 2000), but these deficits may not reflect spatial impairment, per se. To properly evaluate spatial cognition in PSP, it is critical to select tests that allow the examiner to disentangle spatial cognition from ocular motility. For example, to assess visual construction, a PSP patient could be asked to draw a figure rather than copy a figure.

Using a paradigm that does not rely on oculomotor function, Posner and Rafal demonstrated that PSP patients show slowed covert orienting of attention and reduced inhibition of return that are most pronounced in the vertical plane (Posner, R.D., Choate, & Vaughan, 1985; Rafal, Posner, Friedman, Inhoff, & Bernstein, 1988). In the orienting of attention task, a preparatory cue appeared in one of 4 squares that were positioned above, below, and on each side of a central fixation cross. After a brief delay, a target appeared in one of the 4 squares. Subjects were instructed to press a key as quickly as possible when the target appeared. Eye gaze was maintained on the fixation cross in the center of the display. Response times were faster for all subjects when the target appeared in the same square as the cue, but the response time advantage was reduced for PSP patients in the vertical plane. The vertical covert orienting and inhibition of return impairments could not be attributed to ocular dysfunction because in these tasks the display was small; eye movements were monitored; and the visual orienting deficits were present even at cue-target intervals as short as 50ms, which is much shorter than the latency for saccades in normal individuals. Robbins and colleagues (Robbins et al., 1994) examined attentional set-shifting in PSP using a task that required subjects to shift their attention between two superimposed figures. Because the figures were superimposed, eye movements were not required. Patients with PSP or PD were impaired on the task, but not patients with early AD, which suggests that the impairment was due to subcortical dysfunction. PSP patients can also show impairments on tests of spatial working memory, visual search, and the efficient use of spatial strategies (Robbins et al., 1994; Soliveri et al., 2000).

Frontotemporal Lobar Degeneration

Frontotemporal lobar degeneration (FTLD) is a progressive neurodegenerative disease that primarily affects the frontal and anterior temporal lobes. Critical visual spatial processing regions in cortex (the parietal, inferior temporal, and occipital cortex) are relatively spared. This pattern of sparing allows many FTLD patients to perform strikingly well on tests of visual spatial skills when other aspects of cognition and behavior are severely impaired. As compared to patients with AD matched on measures of global cognitive impairment, FTLD patients perform better on tests of visual spatial construction (Diehl & Kurz, 2002; Hutchinson & Mathias, 2008; Rascovsky, Salmon, Hansen, & Galasko, 2008; Katya's 2002). The differential diagnosis of FTLD from AD can in some cases be difficult, and assessment of this relative preservation of visual spatial function in FTLD patients can improve diagnostic accuracy (Harciarek & Jodzio, 2005; Thompson, Stopford, & Neary, 2008; Rascosky et al., 2002). FTLD is a heterogeneous disorder, however, and so understanding spatial cognition in these patients requires consideration of the different neurobehavioral syndromes and neuropathologic subtypes.

Behavioral variant frontotemporal dementia

FTLD presents in 3 neurobehavioral syndromes depending on the distribution of pathology (Gorno-Tempini et al., 2004; Hodges, 2001; Neary et al., 1998; Snowden, Neary, & Mann, 2007), and these syndromes are associated with subtle differences in spatial cognitive functioning. The behavioral variant of frontotemporal dementia (bvFTD) is the most common of these 3 syndromes, and is associated with bilateral frontal, anterior insular, and anterior cingulate involvement with pronounced orbitofrontal atrophy early in the disease (R. J. Perry et al., 2006). Clinically, these patients show an early decline in social and personal conduct, emotional blunting, and loss of insight. Consistent with the relative preservation of the posterior cortex, mild bvFTD patients usually perform normally on tests that assess “bottom-up” visual spatial perception, such as the subtests of the Visual Object and Spatial Perception Battery (R. J. Perry & Hodges, 2000; Rahman, Sahakian, Hodges, Rogers, & Robbins, 1999; Thompson, Stopford, Snowden, & Neary, 2005). Deficits on tests of spatial cognition can be seen in bvFTD when the test relies on certain aspects of top down control. Visual discrimination reversal learning and inhibition of spatial attention, in particular, can be impaired even early in the disease when the site of pathology involves predominantly ventral and medial aspects of prefrontal cortex (Krueger et al., 2009; Rahman et al., 1999). Patients with bvFTD often make numerous repetition errors on tests of design fluency, even in early stage disease, and the propensity to make these errors has been associated with orbitofrontal atrophy (Chester et al., 2009). As the disease progresses and there is more substantial dorsolateral prefrontal cortex and striatal dysfunction, executive dysfunction and its impacts on spatial cognition become even more prominent. Although bvFTD patients generally outperform AD patients on figure copy tests (Diehl & Kurz, 2002; Elfgren et al., 1994; Mendez et al., 1996; Rascovsky, Salmon, Hansen, & Galasko, 2008; Rascovsky et al., 2002), they have been equally impaired in some studies when the figure to be copied is quite complex (Frisoni et al., 1995; Kramer et al., 2003; Lindau, Almkvist, Johansson, & Wahlund, 1998; Pachana, Boone, Miller, Cummings, & Berman, 1996; R. J. Perry & Hodges, 2000). On these tests, such as the Rey-Osterrieth Complex Figure, performance is known to be influenced by frontally-mediated executive skills such as organization, strategic processing, and working memory (Choi et al., 2004; Freeman et al., 2000; Hernandez et al., 2003; Varma et al., 1999) in addition to bottom up visual-spatial perception and integration skills. Whereas AD patients are more likely to make spatial errors on these tests, suggesting an underlying impairment in visual spatial processing, bvFTD patients are more likely to make organizational or perseverative errors with preserved spatial configuration, suggesting an underlying impairment in executive functioning (Thompson et al., 2005).

Semantic dementia and progressive nonfluent aphasia

The two aphasic variants of FTLD syndromes are semantic dementia (SD) and progressive nonfluent aphasia (PNFA). SD is associated with pronounced anterior temporal lobe atrophy and often begins unilaterally. When the disease begins in the left hemisphere, the patients show a progressive loss of knowledge about words and objects (Amici, Gorno-Tempini, Ogar, Dronkers, & Miller, 2006). When the disease begins in the right hemisphere, patients may show relatively subtle language deficits, loss of semantic information about visual information such as faces, and more pronounced behavioral dysfunction such as loss of empathy, compulsive behavior, or behavioral disinhibition (Rankin et al., 2006; Rosen et al., 2006). Progressive nonfluent aphasia (PNFA) is associated with pronounced left inferior frontal and insular atrophy. PNFA is characterized by hesitant, effortful, and apraxic speech, agrammatism, and early preservation of word meaning (Amici et al., 2006). PNFA patients are more behaviorally appropriate than the other variants (Rosen et al., 2006). Patients with SD and PNFA rarely show any impairment on spatial cognitive tasks that do not rely on language skills; for example, they can normally copy complex figures (Gorno-Tempini et al., 2004). When SD patients do show difficulty with the naming of visually-presented objects, this is attributed to their semantic knowledge impairment rather than a perceptual problem, per se (Woollams, Cooper-Pye, Hodges, & Patterson, 2008).

Some patients with SD or PNFA have developed a novel interest in producing art that seems to be triggered by the illness, as reported in several case studies (B. L. Miller et al., 1998; B. L. Miller, Ponton, Benson, Cummings, & Mena, 1996; Seeley et al., 2008). This art can take on a compulsive quality: patients may repeat the same painting several times, photograph the same subject from multiple angles, or take hours to complete single lines in each painting (B. L. Miller et al., 1998; B. L. Miller & Hou, 2004). In SD, distortions of space, color, faces, and other aspects of composition are prominent (Finney & Heilman, 2007; Rankin et al., 2007), and significant symbolism or abstraction is typically lacking, consistent with the left anterior temporal lobe degeneration that is the hallmark of this disease (B. L. Miller & Hou, 2004).

The neural mechanism underlying these bursts of artwork and alterations in visual creativity is controversial. In these patients, brain disease is initially focal, anterior, and left-hemisphere predominant. The posterior cortex, and notably the right posterior cortex, is relatively preserved. These patients may develop visual spatial creative skills because they practice using these skills to compensate for their impaired linguistic functions. Some have argued that perceived increases in visual creativity may be due to emerging dysfunction in the visual cortical system (i.e., visual distortions that may be artistically appealing were not done for effect; Finney & Heilman, 2007). Others have argued that the emergence of artwork in these patients may represent released inhibition of right posterior cortex, such that the disease process paradoxically facilitates a more vivid and connected perception of the visual world (B. L. Miller, Boone, Cummings, Read, & Mishkin, 2000; B. L. Miller & Hou, 2004; Seeley et al., 2008).

Neuropathologic subtypes of frontotemporal lobar degeneration

The majority of FTLD spectrum disorders are defined according to 2 neuropathologic subtypes: one with tau positive inclusions (most commonly CBD, PSP, or Picks) and one with inclusions that stain positively for TDP-43. BvFTD patients are about evenly split according to these neuropathologic subtypes, whereas the majority of PNFA patients are tau positive and the majority of SD patients are tau negative (Josephs, Petersen et al., 2006; Kertesz, 2009; Llado et al., 2008). A third less common subtype that presents as bvFTD was recently discovered with fused in sarcoma (FUS) positive TDP-43-negative inclusions (Neumann et al., 2009). Studies that compare antemortem cognitive profiles of neuropathologic subtypes are critically important because scientists are developing promising new treatments that target specific molecules. Grossman and colleagues (Grossman et al., 2007) compared tau positive and tau negative patients, and showed that the tau positive patients were more impaired, on average, on a figure copy test. Clinical syndromes were mixed in the tau positive group; the most common presentations were CBS (8), social or executive disorder (7), and PNFA (5). As discussed above, CBS can be associated with profound spatial impairment, and so this group difference in spatial function may have been driven by the large number of CBS patients in the tau-positive group.

Within a clinical syndrome, patients may differ in their clinical presentation depending on the underlying neuropathology. Tau-positive and FUS-positive bvFTD has been associated with more severe striatal atrophy (Kim et al., 2007; Neumann et al., 2009; Seelaar et al., 2009) and tau-positive bvFTD has been associated with dorsolateral bifrontal atrophy (Whitwell et al., 2005) whereas TDP-positive FTLD patients often show hippocampal sclerosis (Josephs & Dickson, 2007; Josephs, Whitwell, Jack, Parisi, & Dickson, 2006). Based on these topographic patterns of pathology, one might hypothesize that tau- or FUS-positive bvFTD patients might show more impairment in spatial functions mediated by frontal-striatal systems such as spatial working memory and attention, whereas TDP-43 positive patients might show more difficulty on hippocampally-mediated functions such as spatial orientation and allocentric aspects of navigation. As large enough multi-center samples become available, it will be critical for future studies to report the antemortem profiles of patients according to both clinical syndrome and pathologic subtype.

Conclusion

Visual spatial cognition involves the perception, selection, organization, and utilization of location and object-based information, and provides a structure for how we interact with our physical environments. This multi-faceted domain of cognition depends on a widely-distributed and predominantly right hemisphere network of brain regions. As mental representations of the visual world move anteriorly from primary visual cortex through bottom-up systems, progressively more complex and integrated aspects are processed. Representations in posterior cortex are selected “top-down” for further processing by frontal systems. Dorsal regions of cortex are specialized for processing the locations of objects and how to act on them, whereas ventral regions are specialized for processing features of objects relevant to their identity. This dorsal / ventral distinction is particularly relevant to bottom-up systems, but top-down aspects of spatial processing can be selectively affected in patients with frontal-subcortical system compromise (eg, PD). Separable frames of reference for processing self-based (egocentric) and world-based (allocentric) information have been well-elucidated by cognitive neuroscience; the egocentric network is anchored by the dorsal striatum and the allocentric by the medial temporal lobe. Standardized tests to evaluate this distinction in humans are not yet clinically available.

The effects of neurodegenerative disease syndromes on visual spatial cognition depend on topographic patterns of brain pathology, and so it is important that visual spatial cognitive evaluations use anatomically-specific methods for diagnosis and for monitoring disease progression. In most cases, however, dementia evaluations do not measure spatial cognition in a comprehensive or anatomically-specific manner. For example, these evaluations often include only a test of figure copy to assess this cognitive domain. Although including a test of figure copy is an excellent screen for visual spatial dysfunction and can provide some diagnostic information (e.g., a patient with LBD is likely to show more severe impairment than a patient with AD), patients can fail the test for several reasons. For example, a patient with bvFTD may fail a test of figure copy due to impairments in top-down control processes; a patient with PSP may fail the test due to oculomotor dysfunction; and a patient with posterior cortical atrophy may fail the test due to simultagnosia. Visual spatial evaluations should be designed to specifically evaluate the facets of visual spatial cognition that may be disrupted by the syndromes on the differential. In most cases the battery should include some evaluation of top-down spatial processing, and both dorsal and ventral aspects of bottom-up systems.

At present, pharmacologic treatments for neurodegenerative diseases are limited, but scientists are on the verge of developing promising new treatments including molecule-specific therapies. As these treatments become available, it will become critically important to identify accurately patients early in the disease course. Neurocognitive evaluations should aspire to diagnose not only clinical syndromes but also neuropathologic subtypes, which will ultimately be the target of treatments. Methods developed in a cognitive neuroscience framework that can tease apart the integrity of neural systems can be adapted for clinical use. Refinement of visual spatial evaluation methods is a promising avenue for improving early diagnostic accuracy and treatment monitoring.

References

  1. Aarsland D, Litvan I, Salmon D, Galasko D, Wentzel-Larsen T, Larsen JP. Performance on the dementia rating scale in Parkinson's disease with dementia and dementia with Lewy bodies: comparison with progressive supranuclear palsy and Alzheimer's disease. J Neurol Neurosurg Psychiatry. 2003;74(9):1215–1220. doi: 10.1136/jnnp.74.9.1215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Aarsland D, Perry R, Larsen JP, McKeith IG, O'Brien JT, Perry EK, et al. Neuroleptic sensitivity in Parkinson's disease and parkinsonian dementias. J Clin Psychiatry. 2005;66(5):633–637. [PubMed] [Google Scholar]
  3. Aarsland D, Zaccai J, Brayne C. A systematic review of prevalence studies of dementia in Parkinson's disease. Mov Disord. 2005;20(10):1255–1263. doi: 10.1002/mds.20527. [DOI] [PubMed] [Google Scholar]
  4. Agid Y. Parkinson's disease: pathophysiology. Lancet. 1991;337(8753):1321–1324. doi: 10.1016/0140-6736(91)92989-f. [DOI] [PubMed] [Google Scholar]
  5. Alladi S, Xuereb J, Bak T, Nestor P, Knibb J, Patterson K, et al. Focal cortical presentations of Alzheimer's disease. Brain. 2007;130(Pt 10):2636–2645. doi: 10.1093/brain/awm213. [DOI] [PubMed] [Google Scholar]
  6. Amici S, Gorno-Tempini ML, Ogar JM, Dronkers NF, Miller BL. An overview on Primary Progressive Aphasia and its variants. Behav Neurol. 2006;17(2):77–87. doi: 10.1155/2006/260734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Amick MM, Grace J, Ott BR. Visual and cognitive predictors of driving safety in Parkinson's disease patients. Arch Clin Neuropsychol. 2007;22(8):957–967. doi: 10.1016/j.acn.2007.07.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Astur RS, Taylor LB, Mamelak AN, Philpott L, Sutherland RJ. Humans with hippocampus damage display severe spatial memory impairments in a virtual Morris water task. Behav Brain Res. 2002;132(1):77–84. doi: 10.1016/s0166-4328(01)00399-0. [DOI] [PubMed] [Google Scholar]
  9. Baizer JS, Desimone R, Ungerleider LG. Comparison of subcortical connections of inferior temporal and posterior parietal cortex in monkeys. Vis Neurosci. 1993;10(1):59–72. doi: 10.1017/s0952523800003229. [DOI] [PubMed] [Google Scholar]
  10. Bak TH, Caine D, Hearn VC, Hodges JR. Visuospatial functions in atypical parkinsonian syndromes. J Neurol Neurosurg Psychiatry. 2006;77(4):454–456. doi: 10.1136/jnnp.2005.068239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bak TH, Crawford LM, Hearn VC, Mathuranath PS, Hodges JR. Subcortical dementia revisited: similarities and differences in cognitive function between progressive supranuclear palsy (PSP), corticobasal degeneration (CBD) and multiple system atrophy (MSA) Neurocase. 2005;11(4):268–273. doi: 10.1080/13554790590962997. [DOI] [PubMed] [Google Scholar]
  12. Ball K, Smith D, Ellison A, Schenk T. Both egocentric and allocentric cues support spatial priming in visual search. Neuropsychologia. 2009;47(6):1585–1591. doi: 10.1016/j.neuropsychologia.2008.11.017. [DOI] [PubMed] [Google Scholar]
  13. Ballard CG, Aarsland D, McKeith I, O'Brien J, Gray A, Cormack F, et al. Fluctuations in attention: PD dementia vs DLB with parkinsonism. Neurology. 2002;59(11):1714–1720. doi: 10.1212/01.wnl.0000036908.39696.fd. [DOI] [PubMed] [Google Scholar]
  14. Ballard CG, Jacoby R, Del Ser T, Khan MN, Munoz DG, Holmes C, et al. Neuropathological substrates of psychiatric symptoms in prospectively studied patients with autopsy-confirmed dementia with lewy bodies. Am J Psychiatry. 2004;161(5):843–849. doi: 10.1176/appi.ajp.161.5.843. [DOI] [PubMed] [Google Scholar]
  15. Barton JJ. Higher cortical visual function. Curr Opin Ophthalmol. 1998;9(6):40–45. doi: 10.1097/00055735-199812000-00007. [DOI] [PubMed] [Google Scholar]
  16. Bennett KM, Waterman C, Scarpa M, Castiello U. Covert visuospatial attentional mechanisms in Parkinson's disease. Brain. 1995;118(Pt 1):153–166. doi: 10.1093/brain/118.1.153. [DOI] [PubMed] [Google Scholar]
  17. Benson DF, Davis RJ, Snyder BD. Posterior cortical atrophy. Arch Neurol. 1988;45(7):789–793. doi: 10.1001/archneur.1988.00520310107024. [DOI] [PubMed] [Google Scholar]
  18. Benton AL, Varney NR, Hamsher KD. Visuospatial judgment. A clinical test. Arch Neurol. 1978;35(6):364–367. doi: 10.1001/archneur.1978.00500300038006. [DOI] [PubMed] [Google Scholar]
  19. Bhidayasiri R, Riley DE, Somers JT, Lerner AJ, Buttner-Ennever JA, Leigh RJ. Pathophysiology of slow vertical saccades in progressive supranuclear palsy. Neurology. 2001;57(11):2070–2077. doi: 10.1212/wnl.57.11.2070. [DOI] [PubMed] [Google Scholar]
  20. Boeve BF. Links between frontotemporal lobar degeneration, corticobasal degeneration, progressive supranuclear palsy, and amyotrophic lateral sclerosis. Alzheimer Dis Assoc Disord. 2007a;21(4):S31–38. doi: 10.1097/WAD.0b013e31815bf454. [DOI] [PubMed] [Google Scholar]
  21. Boeve BF. Parkinson-related dementias. Neurol Clin. 2007b;25(3):761–781. vii. doi: 10.1016/j.ncl.2007.04.002. [DOI] [PubMed] [Google Scholar]
  22. Boeve BF, Maraganore DM, Parisi JE, Ahlskog JE, Graff-Radford N, Caselli RJ, et al. Pathologic heterogeneity in clinically diagnosed corticobasal degeneration. Neurology. 1999;53(4):795–800. doi: 10.1212/wnl.53.4.795. [DOI] [PubMed] [Google Scholar]
  23. Bohbot VD, Iaria G, Petrides M. Hippocampal function and spatial memory: evidence from functional neuroimaging in healthy participants and performance of patients with medial temporal lobe resections. Neuropsychology. 2004;18(3):418–425. doi: 10.1037/0894-4105.18.3.418. [DOI] [PubMed] [Google Scholar]
  24. Bohbot VD, Lerch J, Thorndycraft B, Iaria G, Zijdenbos AP. Gray matter differences correlate with spontaneous strategies in a human virtual navigation task. J Neurosci. 2007;27(38):10078–10083. doi: 10.1523/JNEUROSCI.1763-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Bohnen NI, Kaufer DI, Hendrickson R, Ivanco LS, Lopresti BJ, Constantine GM, et al. Cognitive correlates of cortical cholinergic denervation in Parkinson's disease and parkinsonian dementia. J Neurol. 2006;253(2):242–247. doi: 10.1007/s00415-005-0971-0. [DOI] [PubMed] [Google Scholar]
  26. Borroni B, Turla M, Bertasi V, Agosti C, Gilberti N, Padovani A. Cognitive and behavioral assessment in the early stages of neurodegenerative extrapyramidal syndromes. Arch Gerontol Geriatr. 2008;47(1):53–61. doi: 10.1016/j.archger.2007.07.005. [DOI] [PubMed] [Google Scholar]
  27. Boxer AL, Geschwind MD, Belfor N, Gorno-Tempini ML, Schauer GF, Miller BL, et al. Patterns of brain atrophy that differentiate corticobasal degeneration syndrome from progressive supranuclear palsy. Arch Neurol. 2006;63(1):81–86. doi: 10.1001/archneur.63.1.81. [DOI] [PubMed] [Google Scholar]
  28. Braak H, Braak E. Evolution of neuronal changes in the course of Alzheimer's disease. J Neural Transm Suppl. 1998;53:127–140. doi: 10.1007/978-3-7091-6467-9_11. [DOI] [PubMed] [Google Scholar]
  29. Braak H, Del Tredici K. Invited Article: Nervous system pathology in sporadic Parkinson disease. Neurology. 2008;70(20):1916–1925. doi: 10.1212/01.wnl.0000312279.49272.9f. [DOI] [PubMed] [Google Scholar]
  30. Braddick OJ, O'Brien JM, Wattam-Bell J, Atkinson J, Hartley T, Turner R. Brain areas sensitive to coherent visual motion. Perception. 2001;30(1):61–72. doi: 10.1068/p3048. [DOI] [PubMed] [Google Scholar]
  31. Buffalo EA, Fries P, Landman R, Liang H, Desimone R. A backward progression of attentional effects in the ventral stream. Proc Natl Acad Sci U S A. 2009 doi: 10.1073/pnas.0907658106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Burgess N. Spatial cognition and the brain. Ann N Y Acad Sci. 2008;1124:77–97. doi: 10.1196/annals.1440.002. [DOI] [PubMed] [Google Scholar]
  33. Burgess N, Trinkler I, King J, Kennedy A, Cipolotti L. Impaired allocentric spatial memory underlying topographical disorientation. Rev Neurosci. 2006;17(1-2):239–251. doi: 10.1515/revneuro.2006.17.1-2.239. [DOI] [PubMed] [Google Scholar]
  34. Burn DJ, Rowan EN, Allan LM, Molloy S, O'Brien JT, McKeith IG. Motor subtype and cognitive decline in Parkinson's disease, Parkinson's disease with dementia, and dementia with Lewy bodies. J Neurol Neurosurg Psychiatry. 2006;77(5):585–589. doi: 10.1136/jnnp.2005.081711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Byrne P, Becker S, Burgess N. Remembering the past and imagining the future: a neural model of spatial memory and imagery. Psychol Rev. 2007;114(2):340–375. doi: 10.1037/0033-295X.114.2.340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Calderon J, Perry RJ, Erzinclioglu SW, Berrios GE, Dening TR, Hodges JR. Perception, attention, and working memory are disproportionately impaired in dementia with Lewy bodies compared with Alzheimer's disease. J Neurol Neurosurg Psychiatry. 2001;70(2):157–164. doi: 10.1136/jnnp.70.2.157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Chester SK, Possin KL, Laluz V, Wurst LM, Miller BL, Kramer JH. The neural correlates of design fluency repetition errors and implications for the diagnosis of Frontotemporal Dementia. Paper presented at the International Neuropsychological Society; Atlanta, GA. 2009. [Google Scholar]
  38. Choi JS, Kang DH, Kim JJ, Ha TH, Lee JM, Youn T, et al. Left anterior subregion of orbitofrontal cortex volume reduction and impaired organizational strategies in obsessive-compulsive disorder. J Psychiatr Res. 2004;38(2):193–199. doi: 10.1016/j.jpsychires.2003.08.001. [DOI] [PubMed] [Google Scholar]
  39. Chou WL, Yeh SL. Location- and object-based inhibition of return are affected by different kinds of working memory. Q J Exp Psychol (Colchester) 2008;61(12):1761–1768. doi: 10.1080/17470210802194308. [DOI] [PubMed] [Google Scholar]
  40. Collerton D, Burn D, McKeith I, O'Brien J. Systematic review and meta-analysis show that dementia with Lewy bodies is a visual-perceptual and attentional-executive dementia. Dement Geriatr Cogn Disord. 2003;16(4):229–237. doi: 10.1159/000072807. [DOI] [PubMed] [Google Scholar]
  41. Cormack F, Gray A, Ballard C, Tovee MJ. A failure of ‘pop-out’ in visual search tasks in dementia with Lewy Bodies as compared to Alzheimer's and Parkinson's disease. Int J Geriatr Psychiatry. 2004;19(8):763–772. doi: 10.1002/gps.1159. [DOI] [PubMed] [Google Scholar]
  42. Cormack FK, Tovee M, Ballard C. Contrast sensitivity and visual acuity in patients with Alzheimer's disease. Int J Geriatr Psychiatry. 2000;15(7):614–620. doi: 10.1002/1099-1166(200007)15:7<614::aid-gps153>3.0.co;2-0. [DOI] [PubMed] [Google Scholar]
  43. Courtney SM. Attention and cognitive control as emergent properties of information representation in working memory. Cogn Affect Behav Neurosci. 2004;4(4):501–516. doi: 10.3758/cabn.4.4.501. [DOI] [PubMed] [Google Scholar]
  44. Cronin-Golomb A, Corkin S, Rizzo JF, Cohen J, Growdon JH, Banks KS. Visual dysfunction in Alzheimer's disease: relation to normal aging. Ann Neurol. 1991;29(1):41–52. doi: 10.1002/ana.410290110. [DOI] [PubMed] [Google Scholar]
  45. Cronin-Golomb A, Gilmore GC, Neargarder S, Morrison SR, Laudate TM. Enhanced stimulus strength improves visual cognition in aging and Alzheimer's disease. Cortex. 2007;43(7):952–966. doi: 10.1016/s0010-9452(08)70693-2. [DOI] [PubMed] [Google Scholar]
  46. Cronin-Golomb A, Sugiura R, Corkin S, Growdon JH. Incomplete achromatopsia in Alzheimer's disease. Neurobiol Aging. 1993;14(5):471–477. doi: 10.1016/0197-4580(93)90105-k. [DOI] [PubMed] [Google Scholar]
  47. Cushman LA, Stein K, Duffy CJ. Detecting navigational deficits in cognitive aging and Alzheimer disease using virtual reality. Neurology. 2008;71(12):888–895. doi: 10.1212/01.wnl.0000326262.67613.fe. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Davidsdottir S, Wagenaar R, Young D, Cronin-Golomb A. Impact of optic flow perception and egocentric coordinates on veering in Parkinson's disease. Brain. 2008;131(Pt 11):2882–2893. doi: 10.1093/brain/awn237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Dawson JD, Anderson SW, Uc EY, Dastrup E, Rizzo M. Predictors of driving safety in early Alzheimer disease. Neurology. 2009;72(6):521–527. doi: 10.1212/01.wnl.0000341931.35870.49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Deipolyi AR, Fang S, Palop JJ, Yu GQ, Wang X, Mucke L. Altered navigational strategy use and visuospatial deficits in hAPP transgenic mice. Neurobiol Aging. 2008;29(2):253–266. doi: 10.1016/j.neurobiolaging.2006.10.021. [DOI] [PubMed] [Google Scholar]
  51. deIpolyi AR, Rankin KP, Mucke L, Miller BL, Gorno-Tempini ML. Spatial cognition and the human navigation network in AD and MCI. Neurology. 2007;69(10):986–997. doi: 10.1212/01.wnl.0000271376.19515.c6. [DOI] [PubMed] [Google Scholar]
  52. Delis DC, Kaplan E, Kramer J. The Delis-Kaplan Executive Function System. The Psychological Corporation; 2001. [Google Scholar]
  53. Delis DC, Robertson LC, Efron R. Hemispheric specialization of memory for visual hierarchical stimuli. Neuropsychologia. 1986;24(2):205–214. doi: 10.1016/0028-3932(86)90053-9. [DOI] [PubMed] [Google Scholar]
  54. DeLong MR, Wichmann T. Circuits and circuit disorders of the basal ganglia. Arch Neurol. 2007;64(1):20–24. doi: 10.1001/archneur.64.1.20. [DOI] [PubMed] [Google Scholar]
  55. Diehl J, Kurz A. Frontotemporal dementia: patient characteristics, cognition, and behaviour. Int J Geriatr Psychiatry. 2002;17(10):914–918. doi: 10.1002/gps.709. [DOI] [PubMed] [Google Scholar]
  56. Doeller CF, King JA, Burgess N. Parallel striatal and hippocampal systems for landmarks and boundaries in spatial memory. Proc Natl Acad Sci U S A. 2008;105(15):5915–5920. doi: 10.1073/pnas.0801489105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Downes JJ, Roberts AC, Sahakian BJ, Evenden JL, Morris RG, Robbins TW. Impaired extra-dimensional shift performance in medicated and unmedicated Parkinson's disease: evidence for a specific attentional dysfunction. Neuropsychologia. 1989;27(11-12):1329–1343. doi: 10.1016/0028-3932(89)90128-0. [DOI] [PubMed] [Google Scholar]
  58. Eckert T, Tang C, Ma Y, Brown N, Lin T, Frucht S, et al. Abnormal metabolic networks in atypical parkinsonism. Mov Disord. 2008;23(5):727–733. doi: 10.1002/mds.21933. [DOI] [PubMed] [Google Scholar]
  59. Edison P, Rowe CC, Rinne JO, Ng S, Ahmed I, Kemppainen N, et al. Amyloid load in Parkinson's disease dementia and Lewy body dementia measured with [11C]PIB positron emission tomography. J Neurol Neurosurg Psychiatry. 2008;79(12):1331–1338. doi: 10.1136/jnnp.2007.127878. [DOI] [PubMed] [Google Scholar]
  60. Elfgren C, Brun L, Gustafson L, Johansen A, Minthon L, Passat U, et al. Neuropsychological test as discriminators between dementia of Alzheimer type and frontotemporal dementia. International Journal of Geriatric Psychiatry. 1994;9:635–642. [Google Scholar]
  61. Emre M, Aarsland D, Albanese A, Byrne EJ, Deuschl G, De Deyn PP, et al. Rivastigmine for dementia associated with Parkinson's disease. N Engl J Med. 2004;351(24):2509–2518. doi: 10.1056/NEJMoa041470. [DOI] [PubMed] [Google Scholar]
  62. Emre M, Aarsland D, Brown R, Burn DJ, Duyckaerts C, Mizuno Y, et al. Clinical diagnostic criteria for dementia associated with Parkinson's disease. Mov Disord. 2007;22(12):1689–1707. doi: 10.1002/mds.21507. quiz 1837. [DOI] [PubMed] [Google Scholar]
  63. Festa EK, Insler RZ, Salmon DP, Paxton J, Hamilton JM, Heindel WC. Neocortical disconnectivity disrupts sensory integration in Alzheimer's disease. Neuropsychology. 2005;19(6):728–738. doi: 10.1037/0894-4105.19.6.728. [DOI] [PubMed] [Google Scholar]
  64. Filoteo JV, Maddox WT, Ing AD, Song DD. Characterizing rule-based category learning deficits in patients with Parkinson's disease. Neuropsychologia. 2007;45(2):305–320. doi: 10.1016/j.neuropsychologia.2006.06.034. [DOI] [PubMed] [Google Scholar]
  65. Filoteo JV, Rilling LM, Strayer DL. Negative priming in patients with Parkinson's disease: evidence for a role of the striatum in inhibitory attentional processes. Neuropsychology. 2002;16(2):230–241. doi: 10.1037//0894-4105.16.2.230. [DOI] [PubMed] [Google Scholar]
  66. Finney GR, Heilman KM. Artwork before and after onset of progressive nonfluent aphasia. Cogn Behav Neurol. 2007;20(1):7–10. doi: 10.1097/WNN.0b013e31802b6c1f. [DOI] [PubMed] [Google Scholar]
  67. Freeman RQ, Giovannetti T, Lamar M, Cloud BS, Stern RA, Kaplan E, et al. Visuoconstructional problems in dementia: contribution of executive systems functions. Neuropsychology. 2000;14(3):415–426. doi: 10.1037//0894-4105.14.3.415. [DOI] [PubMed] [Google Scholar]
  68. Frisoni GB, Pievani M, Testa C, Sabattoli F, Bresciani L, Bonetti M, et al. The topography of grey matter involvement in early and late onset Alzheimer's disease. Brain. 2007;130(Pt 3):720–730. doi: 10.1093/brain/awl377. [DOI] [PubMed] [Google Scholar]
  69. Frisoni GB, Pizzolato G, Geroldi C, Rossato A, Bianchetti A, Trabucchi M. Dementia of the frontal type: neuropsychological and [99Tc]-HM-PAO SPET features. J Geriatr Psychiatry Neurol. 1995;8(1):42–48. [PubMed] [Google Scholar]
  70. Fujimori M, Imamura T, Yamashita H, Hirono N, Ikejiri Y, Shimomura T, et al. Age at onset and visuocognitive disturbances in Alzheimer disease. Alzheimer Dis Assoc Disord. 1998;12(3):163–166. doi: 10.1097/00002093-199809000-00007. [DOI] [PubMed] [Google Scholar]
  71. Galvin JE, Pollack J, Morris JC. Clinical phenotype of Parkinson disease dementia. Neurology. 2006;67(9):1605–1611. doi: 10.1212/01.wnl.0000242630.52203.8f. [DOI] [PubMed] [Google Scholar]
  72. Garbutt S, Matlin A, Hellmuth J, Schenk AK, Johnson JK, Rosen H, et al. Oculomotor function in frontotemporal lobar degeneration, related disorders and Alzheimer's disease. Brain. 2008;131(Pt 5):1268–1281. doi: 10.1093/brain/awn047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Gibb WR, Luthert PJ, Marsden CD. Corticobasal degeneration. Brain. 1989;112(Pt 5):1171–1192. doi: 10.1093/brain/112.5.1171. [DOI] [PubMed] [Google Scholar]
  74. Giladi N, Shabtai H, Gurevich T, Benbunan B, Anca M, Korczyn AD. Rivastigmine (Exelon) for dementia in patients with Parkinson's disease. Acta Neurol Scand. 2003;108(5):368–373. doi: 10.1034/j.1600-0404.2003.00211.x. [DOI] [PubMed] [Google Scholar]
  75. Gilmore GC, Levy JA. Spatial contrast sensitivity in Alzheimer's disease: a comparison of two methods. Optom Vis Sci. 1991;68(10):790–794. doi: 10.1097/00006324-199110000-00006. [DOI] [PubMed] [Google Scholar]
  76. Goldman WP, Baty JD, Buckles VD, Sahrmann S, Morris JC. Cognitive and motor functioning in Parkinson disease: subjects with and without questionable dementia. Arch Neurol. 1998;55(5):674–680. doi: 10.1001/archneur.55.5.674. [DOI] [PubMed] [Google Scholar]
  77. Gomez-Isla T, Price JL, McKeel DW, Jr, Morris JC, Growdon JH, Hyman BT. Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease. J Neurosci. 1996;16(14):4491–4500. doi: 10.1523/JNEUROSCI.16-14-04491.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Gomperts SN, Rentz DM, Moran E, Becker JA, Locascio JJ, Klunk WE, et al. Imaging amyloid deposition in Lewy body diseases. Neurology. 2008;71(12):903–910. doi: 10.1212/01.wnl.0000326146.60732.d6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Goodale MA, Milner AD. Separate visual pathways for perception and action. Trends Neurosci. 1992;15(1):20–25. doi: 10.1016/0166-2236(92)90344-8. [DOI] [PubMed] [Google Scholar]
  80. Gorno-Tempini ML, Dronkers NF, Rankin KP, Ogar JM, Phengrasamy L, Rosen HJ, et al. Cognition and anatomy in three variants of primary progressive aphasia. Ann Neurol. 2004;55(3):335–346. doi: 10.1002/ana.10825. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Gramann K, Muller HJ, Schonebeck B, Debus G. The neural basis of ego- and allocentric reference frames in spatial navigation: evidence from spatio-temporal coupled current density reconstruction. Brain Res. 2006;1118(1):116–129. doi: 10.1016/j.brainres.2006.08.005. [DOI] [PubMed] [Google Scholar]
  82. Groschel K, Kastrup A, Litvan I, Schulz JB. Penguins and hummingbirds: midbrain atrophy in progressive supranuclear palsy. Neurology. 2006;66(6):949–950. doi: 10.1212/01.wnl.0000203342.77115.bf. [DOI] [PubMed] [Google Scholar]
  83. Grossman M, Libon DJ, Forman MS, Massimo L, Wood E, Moore P, et al. Distinct antemortem profiles in patients with pathologically defined frontotemporal dementia. Arch Neurol. 2007;64(11):1601–1609. doi: 10.1001/archneur.64.11.1601. [DOI] [PubMed] [Google Scholar]
  84. Gurvich C, Georgiou-Karistianis N, Fitzgerald PB, Millist L, White OB. Inhibitory control and spatial working memory in Parkinson's disease. Mov Disord. 2007;22(10):1444–1450. doi: 10.1002/mds.21510. [DOI] [PubMed] [Google Scholar]
  85. Hamilton JM, Salmon DP, Galasko D, Raman R, Emond J, Hansen LA, et al. Visuospatial deficits predict rate of cognitive decline in autopsy-verified dementia with Lewy bodies. Neuropsychology. 2008;22(6):729–737. doi: 10.1037/a0012949. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Hanyu H, Shimizu S, Hirao K, Kanetaka H, Sakurai H, Iwamoto T, et al. Differentiation of dementia with Lewy bodies from Alzheimer's disease using Mini-Mental State Examination and brain perfusion SPECT. J Neurol Sci. 2006;250(1-2):97–102. doi: 10.1016/j.jns.2006.07.007. [DOI] [PubMed] [Google Scholar]
  87. Harding AJ, Broe GA, Halliday GM. Visual hallucinations in Lewy body disease relate to Lewy bodies in the temporal lobe. Brain. 2002;125(Pt 2):391–403. doi: 10.1093/brain/awf033. [DOI] [PubMed] [Google Scholar]
  88. Hely MA, Reid WG, Adena MA, Halliday GM, Morris JG. The Sydney multicenter study of Parkinson's disease: the inevitability of dementia at 20 years. Mov Disord. 2008;23(6):837–844. doi: 10.1002/mds.21956. [DOI] [PubMed] [Google Scholar]
  89. Hernandez MT, Sauerwein HC, Jambaque I, de Guise E, Lussier F, Lortie A, et al. Attention, memory, and behavioral adjustment in children with frontal lobe epilepsy. Epilepsy Behav. 2003;4(5):522–536. doi: 10.1016/j.yebeh.2003.07.014. [DOI] [PubMed] [Google Scholar]
  90. Hodges JR. Frontotemporal dementia (Pick's disease): clinical features and assessment. Neurology. 2001;56(11 Suppl 4):S6–10. doi: 10.1212/wnl.56.suppl_4.s6. [DOI] [PubMed] [Google Scholar]
  91. Hutton JT, Morris JL, Elias JW, Poston JN. Contrast sensitivity dysfunction in Alzheimer's disease. Neurology. 1993;43(11):2328–2330. doi: 10.1212/wnl.43.11.2328. [DOI] [PubMed] [Google Scholar]
  92. Iaria G, Chen JK, Guariglia C, Ptito A, Petrides M. Retrosplenial and hippocampal brain regions in human navigation: complementary functional contributions to the formation and use of cognitive maps. Eur J Neurosci. 2007;25(3):890–899. doi: 10.1111/j.1460-9568.2007.05371.x. [DOI] [PubMed] [Google Scholar]
  93. Iaria G, Petrides M, Dagher A, Pike B, Bohbot VD. Cognitive strategies dependent on the hippocampus and caudate nucleus in human navigation: variability and change with practice. J Neurosci. 2003;23(13):5945–5952. doi: 10.1523/JNEUROSCI.23-13-05945.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Ishii K, Kawachi T, Sasaki H, Kono AK, Fukuda T, Kojima Y, et al. Voxel-based morphometric comparison between early- and late-onset mild Alzheimer's disease and assessment of diagnostic performance of z score images. AJNR Am J Neuroradiol. 2005;26(2):333–340. [PMC free article] [PubMed] [Google Scholar]
  95. Jacobs DH, Adair JC, Macauley B, Gold M, Gonzalez Rothi LJ, Heilman KM. Apraxia in corticobasal degeneration. Brain Cogn. 1999;40(2):336–354. doi: 10.1006/brcg.1999.1085. [DOI] [PubMed] [Google Scholar]
  96. Janvin CC, Larsen JP, Salmon DP, Galasko D, Hugdahl K, Aarsland D. Cognitive profiles of individual patients with Parkinson's disease and dementia: comparison with dementia with lewy bodies and Alzheimer's disease. Mov Disord. 2006;21(3):337–342. doi: 10.1002/mds.20726. [DOI] [PubMed] [Google Scholar]
  97. Johnson DK, Morris JC, Galvin JE. Verbal and visuospatial deficits in dementia with Lewy bodies. Neurology. 2005;65(8):1232–1238. doi: 10.1212/01.wnl.0000180964.60708.c2. [DOI] [PubMed] [Google Scholar]
  98. Josephs KA. Frontotemporal dementia and related disorders: deciphering the enigma. Ann Neurol. 2008;64(1):4–14. doi: 10.1002/ana.21426. [DOI] [PubMed] [Google Scholar]
  99. Josephs KA, Dickson DW. Hippocampal sclerosis in tau-negative frontotemporal lobar degeneration. Neurobiol Aging. 2007;28(11):1718–1722. doi: 10.1016/j.neurobiolaging.2006.07.010. [DOI] [PubMed] [Google Scholar]
  100. Josephs KA, Petersen RC, Knopman DS, Boeve BF, Whitwell JL, Duffy JR, et al. Clinicopathologic analysis of frontotemporal and corticobasal degenerations and PSP. Neurology. 2006;66(1):41–48. doi: 10.1212/01.wnl.0000191307.69661.c3. [DOI] [PubMed] [Google Scholar]
  101. Josephs KA, Whitwell JL, Jack CR, Parisi JE, Dickson DW. Frontotemporal lobar degeneration without lobar atrophy. Arch Neurol. 2006;63(11):1632–1638. doi: 10.1001/archneur.63.11.1632. [DOI] [PubMed] [Google Scholar]
  102. Joyce JN. Differential response of striatal dopamine and muscarinic cholinergic receptor subtypes to the loss of dopamine. III. Results in Parkinson's disease cases. Brain Res. 1993;600(1):156–160. doi: 10.1016/0006-8993(93)90414-i. [DOI] [PubMed] [Google Scholar]
  103. Kastner S, Ungerleider LG. Mechanisms of visual attention in the human cortex. Annu Rev Neurosci. 2000;23:315–341. doi: 10.1146/annurev.neuro.23.1.315. [DOI] [PubMed] [Google Scholar]
  104. Kaufman MJ, Madras BK. Severe depletion of cocaine recognition sites associated with the dopamine transporter in Parkinson's-diseased striatum. Synapse. 1991;9(1):43–49. doi: 10.1002/syn.890090107. [DOI] [PubMed] [Google Scholar]
  105. Kertesz A. Clinical features and diagnosis of frontotemporal dementia. Front Neurol Neurosci. 2009;24:140–148. doi: 10.1159/000197893. [DOI] [PubMed] [Google Scholar]
  106. Kim EJ, Rabinovici GD, Seeley WW, Halabi C, Shu H, Weiner MW, et al. Patterns of MRI atrophy in tau positive and ubiquitin positive frontotemporal lobar degeneration. J Neurol Neurosurg Psychiatry. 2007;78(12):1375–1378. doi: 10.1136/jnnp.2006.114231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Kish SJ, Shannak K, Hornykiewicz O. Uneven pattern of dopamine loss in the striatum of patients with idiopathic Parkinson's disease. Pathophysiologic and clinical implications. N Engl J Med. 1988;318(14):876–880. doi: 10.1056/NEJM198804073181402. [DOI] [PubMed] [Google Scholar]
  108. Kramer JH, Jurik J, Sha SJ, Rankin KP, Rosen HJ, Johnson JK, et al. Distinctive neuropsychological patterns in frontotemporal dementia, semantic dementia, and Alzheimer disease. Cogn Behav Neurol. 2003;16(4):211–218. doi: 10.1097/00146965-200312000-00002. [DOI] [PubMed] [Google Scholar]
  109. Krueger CE, Bird AC, Growdon ME, Jang JY, Miller BL, Kramer JH. Conflict monitoring in early frontotemporal dementia. Neurology. 2009 doi: 10.1212/WNL.0b013e3181b04b24. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Kurylo DD, Corkin S, Dolan RP, Rizzo JF, 3rd, Parker SW, Growdon JH. Broad-band visual capacities are not selectively impaired in Alzheimer's disease. Neurobiol Aging. 1994;15(3):305–311. doi: 10.1016/0197-4580(94)90025-6. [DOI] [PubMed] [Google Scholar]
  111. Lee AC, Harris JP, Atkinson EA, Fowler MS. Disruption of estimation of body-scaled aperture width in Hemiparkinson's disease. Neuropsychologia. 2001;39(10):1097–1104. doi: 10.1016/s0028-3932(01)00032-x. [DOI] [PubMed] [Google Scholar]
  112. Leek EC, Reppa L, Tipper SP. Inhibition of return for objects and locations in static displays. Percept Psychophys. 2003;65(3):388–395. doi: 10.3758/bf03194570. [DOI] [PubMed] [Google Scholar]
  113. Lindau M, Almkvist O, Johansson SE, Wahlund LO. Cognitive and behavioral differentiation of frontal lobe degeneration of the non-Alzheimer type and Alzheimer's disease. Dement Geriatr Cogn Disord. 1998;9(4):205–213. doi: 10.1159/000017048. [DOI] [PubMed] [Google Scholar]
  114. Lineweaver TT, Salmon DP, Bondi MW, Corey-Bloom J. Differential effects of Alzheimer's disease and Huntington's disease on the performance of mental rotation. J Int Neuropsychol Soc. 2005;11(1):30–39. doi: 10.1017/S1355617705050034. [DOI] [PubMed] [Google Scholar]
  115. Lippa CF, Duda JE, Grossman M, Hurtig HI, Aarsland D, Boeve BF, et al. DLB and PDD boundary issues: diagnosis, treatment, molecular pathology, and biomarkers. Neurology. 2007;68(11):812–819. doi: 10.1212/01.wnl.0000256715.13907.d3. [DOI] [PubMed] [Google Scholar]
  116. Litvan I, Bhatia KP, Burn DJ, Goetz CG, Lang AE, McKeith I, et al. Movement Disorders Society Scientific Issues Committee report: SIC Task Force appraisal of clinical diagnostic criteria for Parkinsonian disorders. Mov Disord. 2003;18(5):467–486. doi: 10.1002/mds.10459. [DOI] [PubMed] [Google Scholar]
  117. Litvan I, Grimes DA, Lang AE, Jankovic J, McKee A, Verny M, et al. Clinical features differentiating patients with postmortem confirmed progressive supranuclear palsy and corticobasal degeneration. J Neurol. 1999;246 2:II1–5. doi: 10.1007/BF03161075. [DOI] [PubMed] [Google Scholar]
  118. Llado A, Sanchez-Valle R, Rey MJ, Ezquerra M, Tolosa E, Ferrer I, et al. Clinicopathological and genetic correlates of frontotemporal lobar degeneration and corticobasal degeneration. J Neurol. 2008;255(4):488–494. doi: 10.1007/s00415-008-0565-8. [DOI] [PubMed] [Google Scholar]
  119. Lobotesis K, Fenwick JD, Phipps A, Ryman A, Swann A, Ballard C, et al. Occipital hypoperfusion on SPECT in dementia with Lewy bodies but not AD. Neurology. 2001;56(5):643–649. doi: 10.1212/wnl.56.5.643. [DOI] [PubMed] [Google Scholar]
  120. Ludolph AC, Kassubek J, Landwehrmeyer BG, Mandelkow E, Mandelkow EM, Burn DJ, et al. Tauopathies with parkinsonism: clinical spectrum, neuropathologic basis, biological markers, and treatment options. Eur J Neurol. 2009;16(3):297–309. doi: 10.1111/j.1468-1331.2008.02513.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Magherini A, Litvan I. Cognitive and behavioral aspects of PSP since Steele, Richardson and Olszewski's description of PSP 40 years ago and Albert's delineation of the subcortical dementia 30 years ago. Neurocase. 2005;11(4):250–262. doi: 10.1080/13554790590962979. [DOI] [PubMed] [Google Scholar]
  122. Maguire EA, Burgess N, Donnett JG, Frackowiak RS, Frith CD, O'Keefe J. Knowing where and getting there: a human navigation network. Science. 1998;280(5365):921–924. doi: 10.1126/science.280.5365.921. [DOI] [PubMed] [Google Scholar]
  123. Mapstone M, Dickerson K, Duffy CJ. Distinct mechanisms of impairment in cognitive ageing and Alzheimer's disease. Brain. 2008;131(Pt 6):1618–1629. doi: 10.1093/brain/awn064. [DOI] [PubMed] [Google Scholar]
  124. Mari-Beffa P, Hayes AE, Machado L, Hindle JV. Lack of inhibition in Parkinson's disease: evidence from a lexical decision task. Neuropsychologia. 2005;43(4):638–646. doi: 10.1016/j.neuropsychologia.2004.07.006. [DOI] [PubMed] [Google Scholar]
  125. Marie RM, Barre L, Dupuy B, Viader F, Defer G, Baron JC. Relationships between striatal dopamine denervation and frontal executive tests in Parkinson's disease. Neurosci Lett. 1999;260(2):77–80. doi: 10.1016/s0304-3940(98)00928-8. [DOI] [PubMed] [Google Scholar]
  126. Mathuranath PS, Xuereb JH, Bak T, Hodges JR. Corticobasal ganglionic degeneration and/or frontotemporal dementia? A report of two overlap cases and review of literature. J Neurol Neurosurg Psychiatry. 2000;68(3):304–312. doi: 10.1136/jnnp.68.3.304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Matsui H, Nishinaka K, Oda M, Hara N, Komatsu K, Kubori T, et al. Heterogeneous factors in dementia with Parkinson's disease: IMP-SPECT study. Parkinsonism Relat Disord. 2007;13(3):174–181. doi: 10.1016/j.parkreldis.2006.10.005. [DOI] [PubMed] [Google Scholar]
  128. Maurage CA, Ruchoux MM, de Vos R, Surguchov A, Destee A. Retinal involvement in dementia with Lewy bodies: a clue to hallucinations? Ann Neurol. 2003;54(4):542–547. doi: 10.1002/ana.10730. [DOI] [PubMed] [Google Scholar]
  129. McDonald RJ, White NM. Parallel information processing in the water maze: evidence for independent memory systems involving dorsal striatum and hippocampus. Behav Neural Biol. 1994;61(3):260–270. doi: 10.1016/s0163-1047(05)80009-3. [DOI] [PubMed] [Google Scholar]
  130. McKeith IG, Dickson DW, Lowe J, Emre M, O'Brien JT, Feldman H, et al. Diagnosis and management of dementia with Lewy bodies: third report of the DLB Consortium. Neurology. 2005;65(12):1863–1872. doi: 10.1212/01.wnl.0000187889.17253.b1. [DOI] [PubMed] [Google Scholar]
  131. McKeith IG, Wesnes KA, Perry E, Ferrara R. Hallucinations predict attentional improvements with rivastigmine in dementia with lewy bodies. Dement Geriatr Cogn Disord. 2004;18(1):94–100. doi: 10.1159/000077816. [DOI] [PubMed] [Google Scholar]
  132. McMonagle P, Deering F, Berliner Y, Kertesz A. The cognitive profile of posterior cortical atrophy. Neurology. 2006;66(3):331–338. doi: 10.1212/01.wnl.0000196477.78548.db. [DOI] [PubMed] [Google Scholar]
  133. Mendez MF, Cherrier M, Perryman KM, Pachana N, Miller BL, Cummings JL. Frontotemporal dementia versus Alzheimer's disease: differential cognitive features. Neurology. 1996;47(5):1189–1194. doi: 10.1212/wnl.47.5.1189. [DOI] [PubMed] [Google Scholar]
  134. Metzler-Baddeley C. A review of cognitive impairments in dementia with Lewy bodies relative to Alzheimer's disease and Parkinson's disease with dementia. Cortex. 2007;43(5):583–600. doi: 10.1016/s0010-9452(08)70489-1. [DOI] [PubMed] [Google Scholar]
  135. Miller BL, Boone K, Cummings JL, Read SL, Mishkin F. Functional correlates of musical and visual ability in frontotemporal dementia. Br J Psychiatry. 2000;176:458–463. doi: 10.1192/bjp.176.5.458. [DOI] [PubMed] [Google Scholar]
  136. Miller BL, Cummings J, Mishkin F, Boone K, Prince F, Ponton M, et al. Emergence of artistic talent in frontotemporal dementia. Neurology. 1998;51(4):978–982. doi: 10.1212/wnl.51.4.978. [DOI] [PubMed] [Google Scholar]
  137. Miller BL, Hou CE. Portraits of artists: emergence of visual creativity in dementia. Arch Neurol. 2004;61(6):842–844. doi: 10.1001/archneur.61.6.842. [DOI] [PubMed] [Google Scholar]
  138. Miller BL, Ponton M, Benson DF, Cummings JL, Mena I. Enhanced artistic creativity with temporal lobe degeneration. Lancet. 1996;348(9043):1744–1745. doi: 10.1016/s0140-6736(05)65881-3. [DOI] [PubMed] [Google Scholar]
  139. Miller EK, Cohen JD. An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 2001;24:167–202. doi: 10.1146/annurev.neuro.24.1.167. [DOI] [PubMed] [Google Scholar]
  140. Minoshima S, Foster NL, Sima AA, Frey KA, Albin RL, Kuhl DE. Alzheimer's disease versus dementia with Lewy bodies: cerebral metabolic distinction with autopsy confirmation. Ann Neurol. 2001;50(3):358–365. doi: 10.1002/ana.1133. [DOI] [PubMed] [Google Scholar]
  141. Miranda R, Blanco E, Begega A, Rubio S, Arias JL. Hippocampal and caudate metabolic activity associated with different navigational strategies. Behav Neurosci. 2006;120(3):641–650. doi: 10.1037/0735-7044.120.3.641. [DOI] [PubMed] [Google Scholar]
  142. Monacelli AM, Cushman LA, Kavcic V, Duffy CJ. Spatial disorientation in Alzheimer's disease: the remembrance of things passed. Neurology. 2003;61(11):1491–1497. doi: 10.1212/wnl.61.11.1491. [DOI] [PubMed] [Google Scholar]
  143. Mori T, Ikeda M, Fukuhara R, Nestor PJ, Tanabe H. Correlation of visual hallucinations with occipital rCBF changes by donepezil in DLB. Neurology. 2006;66(6):935–937. doi: 10.1212/01.wnl.0000203114.03976.b0. [DOI] [PubMed] [Google Scholar]
  144. Morris R. Developments of a water-maze procedure for studying spatial learning in the rat. J Neurosci Methods. 1984;11(1):47–60. doi: 10.1016/0165-0270(84)90007-4. [DOI] [PubMed] [Google Scholar]
  145. Morris RG, Garrud P, Rawlins JN, O'Keefe J. Place navigation impaired in rats with hippocampal lesions. Nature. 1982;297(5868):681–683. doi: 10.1038/297681a0. [DOI] [PubMed] [Google Scholar]
  146. Mosimann UP, Mather G, Wesnes KA, O'Brien JT, Burn DJ, McKeith IG. Visual perception in Parkinson disease dementia and dementia with Lewy bodies. Neurology. 2004;63(11):2091–2096. doi: 10.1212/01.wnl.0000145764.70698.4e. [DOI] [PubMed] [Google Scholar]
  147. Mosimann UP, Rowan EN, Partington CE, Collerton D, Littlewood E, O'Brien JT, et al. Characteristics of visual hallucinations in Parkinson disease dementia and dementia with lewy bodies. Am J Geriatr Psychiatry. 2006;14(2):153–160. doi: 10.1097/01.JGP.0000192480.89813.80. [DOI] [PubMed] [Google Scholar]
  148. Murray R, Neumann M, Forman MS, Farmer J, Massimo L, Rice A, et al. Cognitive and motor assessment in autopsy-proven corticobasal degeneration. Neurology. 2007;68(16):1274–1283. doi: 10.1212/01.wnl.0000259519.78480.c3. [DOI] [PubMed] [Google Scholar]
  149. Navon D. Forest before the trees: The precedence of global features in visual perception. Cognitive Psychology. 1977;9:353–383. [Google Scholar]
  150. Neary D, Snowden JS, Gustafson L, Passant U, Stuss D, Black S, et al. Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology. 1998;51(6):1546–1554. doi: 10.1212/wnl.51.6.1546. [DOI] [PubMed] [Google Scholar]
  151. Negash S, Boeve BF, Geda YE, Smith GE, Knopman DS, Ivnik RJ, et al. Implicit learning of sequential regularities and spatial contexts in corticobasal syndrome. Neurocase. 2007;13(3):133–143. doi: 10.1080/13554790701401852. [DOI] [PubMed] [Google Scholar]
  152. Nestor PJ, Caine D, Fryer TD, Clarke J, Hodges JR. The topography of metabolic deficits in posterior cortical atrophy (the visual variant of Alzheimer's disease) with FDG-PET. J Neurol Neurosurg Psychiatry. 2003;74(11):1521–1529. doi: 10.1136/jnnp.74.11.1521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Neumann M, Rademakers R, Roeber S, Baker M, Kretzschmar HA, Mackenzie IR. A new subtype of frontotemporal lobar degeneration with FUS pathology. Brain. 2009;132(Pt 11):2922–2931. doi: 10.1093/brain/awp214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  154. Noe E, Marder K, Bell KL, Jacobs DM, Manly JJ, Stern Y. Comparison of dementia with Lewy bodies to Alzheimer's disease and Parkinson's disease with dementia. Mov Disord. 2004;19(1):60–67. doi: 10.1002/mds.10633. [DOI] [PubMed] [Google Scholar]
  155. O'Keefe J, Nadel L. The hippocampus as a cognitive map. Oxford: Oxford University Press; 1978. [Google Scholar]
  156. Owen AM. Cognitive dysfunction in Parkinson's disease: the role of frontostriatal circuitry. Neuroscientist. 2004;10(6):525–537. doi: 10.1177/1073858404266776. [DOI] [PubMed] [Google Scholar]
  157. Owen AM, Iddon JL, Hodges JR, Summers BA, Robbins TW. Spatial and non-spatial working memory at different stages of Parkinson's disease. Neuropsychologia. 1997;35(4):519–532. doi: 10.1016/s0028-3932(96)00101-7. [DOI] [PubMed] [Google Scholar]
  158. Pachana NA, Boone KB, Miller BL, Cummings JL, Berman N. Comparison of neuropsychological functioning in Alzheimer's disease and frontotemporal dementia. J Int Neuropsychol Soc. 1996;2(6):505–510. doi: 10.1017/s1355617700001673. [DOI] [PubMed] [Google Scholar]
  159. Packard MG, McGaugh JL. Double dissociation of fornix and caudate nucleus lesions on acquisition of two water maze tasks: further evidence for multiple memory systems. Behav Neurosci. 1992;106(3):439–446. doi: 10.1037//0735-7044.106.3.439. [DOI] [PubMed] [Google Scholar]
  160. Packard MG, McGaugh JL. Inactivation of hippocampus or caudate nucleus with lidocaine differentially affects expression of place and response learning. Neurobiol Learn Mem. 1996;65(1):65–72. doi: 10.1006/nlme.1996.0007. [DOI] [PubMed] [Google Scholar]
  161. Pai MC, Jacobs WJ. Topographical disorientation in community-residing patients with Alzheimer's disease. Int J Geriatr Psychiatry. 2004;19(3):250–255. doi: 10.1002/gps.1081. [DOI] [PubMed] [Google Scholar]
  162. Paxton JL, Peavy GM, Jenkins C, Rice VA, Heindel WC, Salmon DP. Deterioration of visual-perceptual organization ability in Alzheimer's disease. Cortex. 2007;43(7):967–975. doi: 10.1016/s0010-9452(08)70694-4. [DOI] [PubMed] [Google Scholar]
  163. Pearce JM, Roberts AD, Good M. Hippocampal lesions disrupt navigation based on cognitive maps but not heading vectors. Nature. 1998;396(6706):75–77. doi: 10.1038/23941. [DOI] [PubMed] [Google Scholar]
  164. Perneczky R, Drzezga A, Boecker H, Forstl H, Kurz A, Haussermann P. Cerebral metabolic dysfunction in patients with dementia with Lewy bodies and visual hallucinations. Dement Geriatr Cogn Disord. 2008;25(6):531–538. doi: 10.1159/000132084. [DOI] [PubMed] [Google Scholar]
  165. Perry EK, Haroutunian V, Davis KL, Levy R, Lantos P, Eagger S, et al. Neocortical cholinergic activities differentiate Lewy body dementia from classical Alzheimer's disease. Neuroreport. 1994;5(7):747–749. doi: 10.1097/00001756-199403000-00002. [DOI] [PubMed] [Google Scholar]
  166. Perry RJ, Graham A, Williams G, Rosen H, Erzinclioglu S, Weiner M, et al. Patterns of frontal lobe atrophy in frontotemporal dementia: a volumetric MRI study. Dement Geriatr Cogn Disord. 2006;22(4):278–287. doi: 10.1159/000095128. [DOI] [PubMed] [Google Scholar]
  167. Perry RJ, Hodges JR. Differentiating frontal and temporal variant frontotemporal dementia from Alzheimer's disease. Neurology. 2000;54(12):2277–2284. doi: 10.1212/wnl.54.12.2277. [DOI] [PubMed] [Google Scholar]
  168. Posner MI, Cohen Y. Components of visual orienting. In: Bouma H, Bouwhuis DG, editors. Attention and performance. X. Hillsdale, N.J.: Erlbaum; 1984. pp. 531–556. [Google Scholar]
  169. Posner MI, R RD, Choate LS, Vaughan J. Inhibition of return: Neural basis and function. Cognitive Neuropsychology. 1985;2:211–228. [Google Scholar]
  170. Possin KL, Filoteo JV, Song DD, Salmon DP. Spatial and object working memory deficits in Parkinson's disease are due to impairment in different underlying processes. Neuropsychology. 2008;22(5):585–595. doi: 10.1037/a0012613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  171. Possin KL, Filoteo JV, Song DD, Salmon DP. Space-based but not object-based inhibition of return is impaired in Parkinson's disease. Neuropsychologia. 2009;47(7):1694–1700. doi: 10.1016/j.neuropsychologia.2009.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  172. Postle BR, D'Esposito M. Spatial working memory activity of the caudate nucleus is sensitive to frame of reference. Cogn Affect Behav Neurosci. 2003;3(2):133–144. doi: 10.3758/cabn.3.2.133. [DOI] [PubMed] [Google Scholar]
  173. Postle BR, Jonides J, Smith EE, Corkin S, Growdon JH. Spatial, but not object, delayed response is impaired in early Parkinson's disease. Neuropsychology. 1997;11(2):171–179. doi: 10.1037//0894-4105.11.2.171. [DOI] [PubMed] [Google Scholar]
  174. Prvulovic D, Hubl D, Sack AT, Melillo L, Maurer K, Frolich L, et al. Functional imaging of visuospatial processing in Alzheimer's disease. Neuroimage. 2002;17(3):1403–1414. doi: 10.1006/nimg.2002.1271. [DOI] [PubMed] [Google Scholar]
  175. Rabinovici GD, Seeley WW, Kim EJ, Gorno-Tempini ML, Rascovsky K, Pagliaro TA, et al. Distinct MRI atrophy patterns in autopsy-proven Alzheimer's disease and frontotemporal lobar degeneration. Am J Alzheimers Dis Other Demen. 2007;22(6):474–488. doi: 10.1177/1533317507308779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  176. Rafal RD, Posner MI, Friedman JH, Inhoff AW, Bernstein E. Orienting of visual attention in progressive supranuclear palsy. Brain. 1988;111(Pt 2):267–280. doi: 10.1093/brain/111.2.267. [DOI] [PubMed] [Google Scholar]
  177. Rahman S, Sahakian BJ, Hodges JR, Rogers RD, Robbins TW. Specific cognitive deficits in mild frontal variant frontotemporal dementia. Brain. 1999;122(Pt 8):1469–1493. doi: 10.1093/brain/122.8.1469. [DOI] [PubMed] [Google Scholar]
  178. Rankin KP, Gorno-Tempini ML, Allison SC, Stanley CM, Glenn S, Weiner MW, et al. Structural anatomy of empathy in neurodegenerative disease. Brain. 2006;129(Pt 11):2945–2956. doi: 10.1093/brain/awl254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  179. Rankin KP, Liu AA, Howard S, Slama H, Hou CE, Shuster K, et al. A case-controlled study of altered visual art production in Alzheimer's and FTLD. Cogn Behav Neurol. 2007;20(1):48–61. doi: 10.1097/WNN.0b013e31803141dd. [DOI] [PMC free article] [PubMed] [Google Scholar]
  180. Rankin KP, Mayo MC, Seeley WW, Gorno-Tempini ML, Boxer AL, Miller BL. Autopsy-proven corticobasal degeneration presenting as behavioral-variant frontotemporal dementia: Anatomic, cognitive, and neuropsychiatric features at initial examination. 2009. in preparation. [Google Scholar]
  181. Rascovsky K, Salmon DP, Hansen LA, Galasko D. Distinct cognitive profiles and rates of decline on the Mattis Dementia Rating Scale in autopsy-confirmed frontotemporal dementia and Alzheimer's disease. J Int Neuropsychol Soc. 2008;14(3):373–383. doi: 10.1017/S135561770808051X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  182. Rascovsky K, Salmon DP, Ho GJ, Galasko D, Peavy GM, Hansen LA, et al. Cognitive profiles differ in autopsy-confirmed frontotemporal dementia and AD. Neurology. 2002;58(12):1801–1808. doi: 10.1212/wnl.58.12.1801. [DOI] [PubMed] [Google Scholar]
  183. Rebeiz JJ, Kolodny EH, Richardson EP., Jr Corticodentatonigral degeneration with neuronal achromasia. Arch Neurol. 1968;18(1):20–33. doi: 10.1001/archneur.1968.00470310034003. [DOI] [PubMed] [Google Scholar]
  184. Rizzo M, Anderson SW, Dawson J, Nawrot M. Vision and cognition in Alzheimer's disease. Neuropsychologia. 2000;38(8):1157–1169. doi: 10.1016/s0028-3932(00)00023-3. [DOI] [PubMed] [Google Scholar]
  185. Robbins TW, James M, Owen AM, Lange KW, Lees AJ, Leigh PN, et al. Cognitive deficits in progressive supranuclear palsy, Parkinson's disease, and multiple system atrophy in tests sensitive to frontal lobe dysfunction. J Neurol Neurosurg Psychiatry. 1994;57(1):79–88. doi: 10.1136/jnnp.57.1.79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  186. Robertson LC, Lamb MR, Knight RT. Effects of lesions of temporal-parietal junction on perceptual and attentional processing in humans. J Neurosci. 1988;8(10):3757–3769. doi: 10.1523/JNEUROSCI.08-10-03757.1988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  187. Rosen HJ, Allison SC, Ogar JM, Amici S, Rose K, Dronkers N, et al. Behavioral features in semantic dementia vs other forms of progressive aphasias. Neurology. 2006;67(10):1752–1756. doi: 10.1212/01.wnl.0000247630.29222.34. [DOI] [PubMed] [Google Scholar]
  188. Rowan E, McKeith IG, Saxby BK, O'Brien JT, Burn D, Mosimann U, et al. Effects of donepezil on central processing speed and attentional measures in Parkinson's disease with dementia and dementia with Lewy bodies. Dement Geriatr Cogn Disord. 2007;23(3):161–167. doi: 10.1159/000098335. [DOI] [PubMed] [Google Scholar]
  189. Salmon DP, Filoteo JV. Neuropsychology of cortical versus subcortical dementia syndromes. Semin Neurol. 2007;27(1):7–21. doi: 10.1055/s-2006-956751. [DOI] [PubMed] [Google Scholar]
  190. Sato T, Hanyu H, Hirao K, Shimizu S, Kanetaka H, Iwamoto T. Deep gray matter hyperperfusion with occipital hypoperfusion in dementia with Lewy bodies. Eur J Neurol. 2007;14(11):1299–1301. doi: 10.1111/j.1468-1331.2007.01951.x. [DOI] [PubMed] [Google Scholar]
  191. Sawamoto N, Piccini P, Hotton G, Pavese N, Thielemans K, Brooks DJ. Cognitive deficits and striato-frontal dopamine release in Parkinson's disease. Brain. 2008;131(Pt 5):1294–1302. doi: 10.1093/brain/awn054. [DOI] [PubMed] [Google Scholar]
  192. Seelaar H, Klijnsma KY, de Koning I, van der Lugt A, Chiu WZ, Azmani A, et al. Frequency of ubiquitin and FUS-positive, TDP-43-negative frontotemporal lobar degeneration. J Neurol. 2009 doi: 10.1007/s00415-009-5404-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  193. Seeley WW, Crawford RK, Zhou J, Miller BL, Greicius MD. Neurodegenerative diseases target large-scale human brain networks. Neuron. 2009;62(1):42–52. doi: 10.1016/j.neuron.2009.03.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  194. Seeley WW, Matthews BR, Crawford RK, Gorno-Tempini ML, Foti D, Mackenzie IR, et al. Unravelling Bolero: progressive aphasia, transmodal creativity and the right posterior neocortex. Brain. 2008;131(Pt 1):39–49. doi: 10.1093/brain/awm270. [DOI] [PubMed] [Google Scholar]
  195. Shimizu S, Hanyu H, Hirao K, Sato T, Iwamoto T, Koizumi K. Value of analyzing deep gray matter and occipital lobe perfusion to differentiate dementia with Lewy bodies from Alzheimer's disease. Ann Nucl Med. 2008;22(10):911–916. doi: 10.1007/s12149-008-0193-5. [DOI] [PubMed] [Google Scholar]
  196. Siegert RJ, Weatherall M, Taylor KD, Abernethy DA. A meta-analysis of performance on simple span and more complex working memory tasks in Parkinson's disease. Neuropsychology. 2008;22(4):450–461. doi: 10.1037/0894-4105.22.4.450. [DOI] [PubMed] [Google Scholar]
  197. Silveri MC, Ciccarelli N. The deficit for the word-class “verb” in corticobasal degeneration: linguistic expression of the movement disorder? Neuropsychologia. 2007;45(11):2570–2579. doi: 10.1016/j.neuropsychologia.2007.03.014. [DOI] [PubMed] [Google Scholar]
  198. Simmonds DJ, Pekar JJ, Mostofsky SH. Meta-analysis of Go/No-go tasks demonstrating that fMRI activation associated with response inhibition is task-dependent. Neuropsychologia. 2008;46(1):224–232. doi: 10.1016/j.neuropsychologia.2007.07.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  199. Skidmore FM, Drago V, Pav B, Foster PS, Mackman C, Heilman KM. Conceptual hypometria? An evaluation of conceptual mapping of space in Parkinson's disease. Neurocase. 2009;15(2):119–125. doi: 10.1080/13554790802637743. [DOI] [PubMed] [Google Scholar]
  200. Snowden J, Neary D, Mann D. Frontotemporal lobar degeneration: clinical and pathological relationships. Acta Neuropathol. 2007;114(1):31–38. doi: 10.1007/s00401-007-0236-3. [DOI] [PubMed] [Google Scholar]
  201. Soliveri P, Monza D, Paridi D, Carella F, Genitrini S, Testa D, et al. Neuropsychological follow up in patients with Parkinson's disease, striatonigral degeneration-type multisystem atrophy, and progressive supranuclear palsy. J Neurol Neurosurg Psychiatry. 2000;69(3):313–318. doi: 10.1136/jnnp.69.3.313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  202. Spiers HJ, Maguire EA. A navigational guidance system in the human brain. Hippocampus. 2007;17(8):618–626. doi: 10.1002/hipo.20298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  203. Steele JC, Richardson JC, Olszewski J. Progressive Supranuclear Palsy. A Heterogeneous Degeneration Involving the Brain Stem, Basal Ganglia and Cerebellum with Vertical Gaze and Pseudobulbar Palsy, Nuchal Dystonia and Dementia. Arch Neurol. 1964;10:333–359. doi: 10.1001/archneur.1964.00460160003001. [DOI] [PubMed] [Google Scholar]
  204. Stoerig P, Cowey A. Blindsight in man and monkey. Brain. 1997;120(Pt 3):535–559. doi: 10.1093/brain/120.3.535. [DOI] [PubMed] [Google Scholar]
  205. Strauss E, Sherman EMS, Spreen O. A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary. Third. Oxford University Press; 2006. Tests of Visual Perception; pp. 963–1011. [Google Scholar]
  206. Tang-Wai DF, Graff-Radford NR, Boeve BF, Dickson DW, Parisi JE, Crook R, et al. Clinical, genetic, and neuropathologic characteristics of posterior cortical atrophy. Neurology. 2004;63(7):1168–1174. doi: 10.1212/01.wnl.0000140289.18472.15. [DOI] [PubMed] [Google Scholar]
  207. Tang-Wai DF, Josephs KA, Boeve BF, Dickson DW, Parisi JE, Petersen RC. Pathologically confirmed corticobasal degeneration presenting with visuospatial dysfunction. Neurology. 2003;61(8):1134–1135. doi: 10.1212/01.wnl.0000086814.35352.b3. [DOI] [PubMed] [Google Scholar]
  208. Thompson JC, Stopford CL, Snowden JS, Neary D. Qualitative neuropsychological performance characteristics in frontotemporal dementia and Alzheimer's disease. J Neurol Neurosurg Psychiatry. 2005;76(7):920–927. doi: 10.1136/jnnp.2003.033779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  209. Tippett WJ, Black SE. Regional cerebral blood flow correlates of visuospatial tasks in Alzheimer's disease. J Int Neuropsychol Soc. 2008;14(6):1034–1045. doi: 10.1017/S1355617708081241. [DOI] [PubMed] [Google Scholar]
  210. Tiraboschi P, Hansen LA, Alford M, Merdes A, Masliah E, Thal LJ, et al. Early and widespread cholinergic losses differentiate dementia with Lewy bodies from Alzheimer disease. Arch Gen Psychiatry. 2002;59(10):946–951. doi: 10.1001/archpsyc.59.10.946. [DOI] [PubMed] [Google Scholar]
  211. Tiraboschi P, Salmon DP, Hansen LA, Hofstetter RC, Thal LJ, Corey-Bloom J. What best differentiates Lewy body from Alzheimer's disease in early-stage dementia? Brain. 2006;129(Pt 3):729–735. doi: 10.1093/brain/awh725. [DOI] [PubMed] [Google Scholar]
  212. Troster AI. Neuropsychological characteristics of dementia with Lewy bodies and Parkinson's disease with dementia: differentiation, early detection, and implications for “mild cognitive impairment” and biomarkers. Neuropsychol Rev. 2008;18(1):103–119. doi: 10.1007/s11065-008-9055-0. [DOI] [PubMed] [Google Scholar]
  213. Uc EY, Rizzo M, Anderson SW, Sparks JD, Rodnitzky RL, Dawson JD. Impaired navigation in drivers with Parkinson's disease. Brain. 2007;130(Pt 9):2433–2440. doi: 10.1093/brain/awm178. [DOI] [PubMed] [Google Scholar]
  214. Ungerleider LG, Mishkin M. Two cortical visual systems. In: Goodale MA, Ingle DJ, Mansfield RJW, editors. Analysis of visual behavior. Cambridge, MA: M.I.T. Press; 1982. [Google Scholar]
  215. Varma AR, Snowden JS, Lloyd JJ, Talbot PR, Mann DM, Neary D. Evaluation of the NINCDS-ADRDA criteria in the differentiation of Alzheimer's disease and frontotemporal dementia. J Neurol Neurosurg Psychiatry. 1999;66(2):184–188. doi: 10.1136/jnnp.66.2.184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  216. Wager TD, Smith EE. Neuroimaging studies of working memory: a meta-analysis. Cogn Affect Behav Neurosci. 2003;3(4):255–274. doi: 10.3758/cabn.3.4.255. [DOI] [PubMed] [Google Scholar]
  217. Warrington EK, James M. The visual object and space perception battery. Bury St. Edmonds, Suffolk, England: Thames Valley Test Company; 1991. [Google Scholar]
  218. Wechsler D. Wechsler Adult Intelligence Scale. San Antonio, TX: The Psychological Corporation; 1997. [Google Scholar]
  219. Weniger G, Ruhleder M, Wolf S, Lange C, Irle E. Egocentric memory impaired and allocentric memory intact as assessed by virtual reality in subjects with unilateral parietal cortex lesions. Neuropsychologia. 2009;47(1):59–69. doi: 10.1016/j.neuropsychologia.2008.08.018. [DOI] [PubMed] [Google Scholar]
  220. Whishaw IQ. Cholinergic receptor blockade in the rat impairs locale but not taxon strategies for place navigation in a swimming pool. Behav Neurosci. 1985;99(5):979–1005. doi: 10.1037//0735-7044.99.5.979. [DOI] [PubMed] [Google Scholar]
  221. Whitwell JL, Jack CR, Jr, Kantarci K, Weigand SD, Boeve BF, Knopman DS, et al. Imaging correlates of posterior cortical atrophy. Neurobiol Aging. 2007;28(7):1051–1061. doi: 10.1016/j.neurobiolaging.2006.05.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  222. Whitwell JL, Josephs KA, Rossor MN, Stevens JM, Revesz T, Holton JL, et al. Magnetic resonance imaging signatures of tissue pathology in frontotemporal dementia. Arch Neurol. 2005;62(9):1402–1408. doi: 10.1001/archneur.62.9.1402. [DOI] [PubMed] [Google Scholar]
  223. Whitwell JL, Weigand SD, Shiung MM, Boeve BF, Ferman TJ, Smith GE, et al. Focal atrophy in dementia with Lewy bodies on MRI: a distinct pattern from Alzheimer's disease. Brain. 2007;130(Pt 3):708–719. doi: 10.1093/brain/awl388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  224. Williams DR, Warren JD, Lees AJ. Using the presence of visual hallucinations to differentiate Parkinson's disease from atypical parkinsonism. J Neurol Neurosurg Psychiatry. 2008;79(6):652–655. doi: 10.1136/jnnp.2007.124677. [DOI] [PubMed] [Google Scholar]
  225. Williams-Gray CH, Foltynie T, Brayne CE, Robbins TW, Barker RA. Evolution of cognitive dysfunction in an incident Parkinson's disease cohort. Brain. 2007;130(Pt 7):1787–1798. doi: 10.1093/brain/awm111. [DOI] [PubMed] [Google Scholar]
  226. Woollams AM, Cooper-Pye E, Hodges JR, Patterson K. Anomia: a doubly typical signature of semantic dementia. Neuropsychologia. 2008;46(10):2503–2514. doi: 10.1016/j.neuropsychologia.2008.04.005. [DOI] [PubMed] [Google Scholar]
  227. Yeterian EH, Pandya DN. Prefrontostriatal connections in relation to cortical architectonic organization in rhesus monkeys. J Comp Neurol. 1991;312(1):43–67. doi: 10.1002/cne.903120105. [DOI] [PubMed] [Google Scholar]
  228. Yeterian EH, Pandya DN. Striatal connections of the parietal association cortices in rhesus monkeys. J Comp Neurol. 1993;332(2):175–197. doi: 10.1002/cne.903320204. [DOI] [PubMed] [Google Scholar]
  229. Zadikoff C, Lang AE. Apraxia in movement disorders. Brain. 2005;128(Pt 7):1480–1497. doi: 10.1093/brain/awh560. [DOI] [PubMed] [Google Scholar]
  230. Zeki S. The disunity of consciousness. Prog Brain Res. 2008;168:11–18. doi: 10.1016/S0079-6123(07)68002-9. [DOI] [PubMed] [Google Scholar]
  231. Zhou X, Chen Q. Neural correlates of spatial and non-spatial inhibition of return (IOR) in attentional orienting. Neuropsychologia. 2008;46(11):2766–2775. doi: 10.1016/j.neuropsychologia.2008.05.017. [DOI] [PubMed] [Google Scholar]

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