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Published in final edited form as: Neurobiol Aging. 2011 Dec;32(0 1):S58–S63. doi: 10.1016/j.neurobiolaging.2011.09.010

Changes in Cognition

Marilyn S Albert 1
PMCID: PMC3929949  NIHMSID: NIHMS555108  PMID: 22078174

Abstract

The clinical hallmark of Alzheimer’s disease (AD) is a gradual decline in cognitive function. For the majority of patients the initial symptom is an impairment in episodic memory, i.e., the ability to learn and retain new information. This is followed by impairments in other cognitive domains (e.g., executive function, language, spatial ability). This impairment in episodic memory is evident among individuals with mild cognitive impairment (MCI) and can be used to predict likelihood of progression to dementia, particularly in association with AD biomarkers. Additionally, cognitively normal individuals who are likely to progress to mild impairment tend to perform more poorly on tests of episodic memory than do those who remain stable. This cognitive presentation is consistent with the pathology of AD, showing neuronal loss in medial temporal lobe structures essential for normal memory. Similarly, there are correlations between MRI measures of medial temporal lobe structures and memory performance among individuals with MCI. There are recent reports that amyloid accumulation may also be associated with memory performance in cognitively normal individuals.

Keywords: Alzheimer’s disease, dementia, cognition, cognitive testing, cognitive function, memory, biomarkers

1. Introduction

The clinical hallmark of Alzheimer’s disease (AD) is a gradual decline in cognitive function. This decline occurs over years and ultimately leads to overt dementia, in which multiple cognitive domains are sufficiently impaired such that the individual is no longer capable of functioning independently. The pattern of decline in cognition is relatively consistent in the majority of patients. This reflects the fact that AD is a neurodegenerative process that follows a relatively predictable pattern, with specific brain regions affected early (e.g., the medial temporal lobe), while others are spared until late in the course of disease (e.g., sensorimotor areas). The role of biomarkers for AD ultimately will be to measure the neurobiological changes associated with this process in a sufficiently reliable manner that they can be used to detect, track and predict the disease course over time.

2. Patients with AD Dementia

The initial neuropsychological studies pertaining to patients with Alzheimer dementia focused on identifying the cognitive domains that are impaired among mildly demented patients, based on the assumption that this would provide information about the cognitive phenotype of AD. These studies led to a general consensus that the majority of patients have a deficit in the learning and retention of new information. This difficulty, known as an episodic memory impairment, is evident in day to day activities where retention over a delay is needed (such as remembering conversations and appointments) and on tasks that require an individual to learn something new (e.g., a shopping list or a news event) and then retain it over a delay. In the laboratory, episodic memory is assessed by a range of tasks including the learning and retention of stories, word lists, and paired-associates. Most of the initial studies compared Alzheimer dementia patients to healthy older controls, and demonstrated a striking episodic memory impairment in the patients (Wilson et al., 1983; Flicker et al., 1984; Moss et al., 1986; Butters et al., 1988; Hart et al., 1988; Storandt et al., 1989; Sahakian et al., 1990; Welsh et al., 1991; Welsh et al., 1992; Petersen et al., 1994).

Comparisons between Alzheimer dementia patients and patients with other causes of dementia (e.g., frontotemporal dementia, Huntington’s disease, Lewy body dementia), subsequently showed that the ability to retain information over a delay is more impaired in patients with AD than in other dementing disorders (Moss & Albert, 1988; Milberg & Albert, 1988; Hodges et al., 1990; Troster et al., 1993; Lange et al., 1995; Connor et al., 1998; Rascovsky et al., 2002; Hamilton et al., 2004).

In addition to memory problems, mildly demented patients with Alzheimer dementia were shown to be substantially impaired with regard to a set of abilities collectively known as ‘executive functions’. This includes impairments on tasks that involve coordinating two concurrent tasks (Baddeley et al., 1986), as well as tasks requiring shifting between stimulus dimensions (Sahakian et al., 1990; Filoteo et al., 1992; Parasuraman et al., 1992; Sebastian et al., 2006; Baudic et al., 2006). Mild-tomoderately demented Alzheimer patients also demonstrate executive function deficits (Becker et al., 1988; Morris & Baddeley, 1988; Lafleche et al., 1990; Nestor et al,. 1991; Bondi et al., 2002; Stokholm et al., 2006). The evidence suggests, based on studies that compared very mildly demented Alzheimer patients to controls on tasks assessing a range of cognitive domains, that executive function deficits precede deficits in language and spatial function in the majority of individuals (e.g., Grady et al., 1988; Lafleche & Albert, 1995; Amieva et al., 2004).

Mild-to-moderately impaired Alzheimer dementia patients also have impairments in language function. Some investigators have argued that these deficits are the result of a broader impairment in semantic memory, defined as “that system which processes, stores and retrieves information about the meaning of words, concepts and facts” (Warrington, 1975). Semantic memory abnormalities in patients with Alzheimer dementia have been documented using a range of tasks that include category fluency (Hodges et al., 1992; Chan et al., 1993; Martin & Fedio, 1983; Troster et al., 1989), category membership (Grossman et al., 1998), confrontation naming (Grossman et al., 1998; Hodges et al., 1992; Martin & Fedio, 1983), and similarity judgments (Chan et al., 1993; 1995; 1997). In addition, several studies of word priming (Glosser et al., 1998; Milberg et al., 1999; Salmon et al., 1988) have reported significant deficits in Alzheimer dementia patients, although other studies have failed to find this effect (Nebes & Brady, 1988). For a recent review of this area, see Altmann & McClung (2008).

Visuospatial function is impaired in the course of Alzheimer dementia. On simple copying tasks, such as drawing a clock or a triangle, mildly demented Alzheimer patients do not differ from controls (Karrasch et al., 2005; Rouleau et al., 1992). However, visuospatial impairments are common among mild-to-moderately impaired patients (Kurylo et al., 1994; Rouleau et al., 1996).

It should be noted that, although the findings above are characteristic of the majority of patients, at least two other clinical presentations have been described among patients with Alzheimer dementia: (1) individuals with gradually progressive impairments in spatial ability (sometimes referred to as having posterior cortical syndrome) and (2) individuals with gradually progressive language deficits. The former set of patients typically has AD pathology on autopsy, which is particularly striking in visual association pathways (e.g., Hof et al., 1997, Renner, Burns 2005 Neurology). The latter group of patients is more challenging to diagnose correctly, because their pattern of deficits overlaps that seen in a form of frontotemporal lobar degeneration (FTLD) known as primary progressive aphasia (PPA) (Mesulam et al., 2008).

3. Individuals with Prodromal Alzheimer’s Disease Dementia

It is now widely accepted that there is a transitional phase between normal function and Alzheimer dementia, during which cognitive impairment is progressing. The term most commonly used to characterize individuals in this prodromal phase of disease is mild cognitive impairment (MCI) (Petersen et al., 1999; Petersen, 2004).

The feasibility of studying this transitional phase is based on the fact that the hallmark of AD is a progressive decline in cognition. To study this phenomenon, many research groups recruited non-demented individuals with mild cognitive impairments and followed them over time. The general design of the studies was to evaluate a range of cognitive functions in the participants when they were first evaluated, and then to follow them over time to determine which cognitive changes were the best predictors of progressing from mild impairment to frank dementia.

Among these studies there is considerable consensus that tests of episodic memory are significantly different among non-demented individuals with mild memory deficits who subsequently receive a diagnosis of Alzheimer dementia on follow-up, as compared with those who also have memory problems but do not progress to dementia within a few years (Tuokko et al., 1991; Bondi et al., 1994; Petersen et al., 1994; Newmann et al., 1994; Small et al., 1995; Jacobs et al., 1995; Tierney et al., 1996; Rubin et al., 1998; Kluger et al., 1999; Chen et al., 2000; Albert et al., 2001; Howieson et al., 2003; Blackwell et al., 2004; Tabert et al., 2006; Sarazin et al., 2007; Doerclx et al., 2009; Rabin et al., 2009).

A number of studies have reported that executive function abnormalities are also evident in the prodromal stage of Alzheimer dementia (Grady et al.., 1988; Sahakian et al., 1990; Tierney et al., 1996; Albert et al. 2001; Chen et al., 2000; 2001; Albert et al., 2007; Grober et al., 2008). Others have reported declines in naming are more likely to be impaired among those destined to develop Alzheimer dementia (e.g., Saxton et al., 2004), though these findings are less consistent.

Relevance to Pathology and Biomarkers

Taken together, these studies of cognition are consistent with the neuropathological findings in patients with Alzheimer dementia and in MCI. The striking impairment in episodic memory now considered to be the cognitive hallmark of AD is thought to result from the pathological alterations (including synaptic dysfunction, neuronal loss and presence of neurofibrillary tangles and neuritic plaques) that are seen in medial temporal lobe regions early in the course of disease (Hyman et al., 1984; Selkoe, 2005). These alterations are particularly evident in the entorhinal cortex and CA1 region of the hippocampus (Gomez-Isla et al., 1996), brain regions critical for normal memory (Squire & Zola, 1996).

Findings from biomarkers that assess brain structure and function are also consistent with this hypothesis. As discussed in detail below, structural studies using magnetic resonance imaging (MRI), as well as functional studies using positron emission tomography (PET) show both cross-sectional and longitudinal alterations that appear to reflect the accumulation of AD pathology in medial temporal and temporoparietal regions. Likewise, the functional MRI (fMRI) studies described below that have shown consistent differences between controls and patients with AD dementia or individuals with MCI have used fMRI activation tasks involving learning and retention of new information, thus capitalizing on the episodic memory deficit that is the hallmark feature of Alzheimer dementia.

PET studies using radiotracers that measure beta-amyloid (Abeta) accumulation have also reported relationships between episodic memory performance and degree of Abeta accumulation. For example, it has been reported that, using 11C-PET-PIB (PiB), neocortical Abeta burden is correlated with episodic memory performance in subjects with MCI (Pike et al., 2007; Morimino et al., 2009), as well as with decline in episodic memory performance over the preceding 6–10 years (Villemagne et al., 2008). Correlations between PiB uptake and memory performance are reported to be less strong among patients with Alzheimer dementia (Pike et al., 2007).

4. Cognitively Normal Individuals At Risk for Developing Mild Impairment

Accumulating evidence indicates that some individuals who are cognitively normal show the hallmark pathological features of AD in their brain (i.e., neuritic plaques and neurofibrillary tangles). The percentage of individuals with evidence of substantial AD pathology appears to vary with age (Knopman et al., 2003; Price & Morris, 1999; Hulette et al., 1998; Bennett et al. 2006; Schmitt et al., 2000; Price 2009 Neurobiol Aging). Approximately one-third of the oldest individuals have these pathological changes. Despite abundant pathology, most investigators have, however, not reported that these individuals have significant neuronal loss. These findings suggest that there may be a ‘window of opportunity’ to prevent Alzheimer dementia, if treatments can be initiated when individuals are cognitively normal despite evidence of some AD pathology in their brain.

Recent studies have therefore sought to determine if cognitive testing can be used to predict which cognitively normal individuals will subsequently develop cognitive decline and dementia. Though the number of studies is small, the majority have found that measures of episodic memory are significant predictors of future cognitive decline (Kawas et al., 2003; DeJager et al., 2005; Blacker et al., 2007; Johnson et al., 2009) or that tests of episodic memory are correlated with degree of pathology in normal individuals (Schmitt et al., 2000; Bennett et al., 2006). One study has reported that a composite measure of visuospatial ability, most of which were assessed by speed of performance, are significant predictors of which normal individuals will subsequently develop cognitive decline (Johnson et al., 2009). These findings suggest that the presence of AD pathology may be having a subtle influence on cognition, even though it is in the normal range.

Relevance to Biomarkers

Studies using amyloid imaging have reported findings consistent with this hypothesis. For example, it has been reported that episodic memory performance is correlated with neocortical Abeta amyloid accumulation, as measured by PiB, in normal controls (Pike et al., 2007) and with decline in episodic memory performance (as well as working memory and visuospatial ability) (Storandt et al., 2009). Reports concerning the correlations between MRI measures of brain volume and cognitive performance in normal individuals suggest that the relationship may be complex. One study reported that episodic memory performance among controls with elevated PiB binding is associated with smaller hippocampal volume (Storandt et al., 2009), while another did not (Morimino et al., 2009). Subsequent analyses suggested that the sequential pattern of these changes may alter the associations that are seen at any one point in time (Morimino et al., 2009). Additional studies in this area should clarify these issues.

Footnotes

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Disclosure

The author has no actual or potential conflicts of interest related to this article.

References

  1. Altmann L, McClung J. Effects of semantic impairment on language use in Alzheimer’s disease. Semin Speech Lang. 2008;29:18–31. doi: 10.1055/s-2008-1061622. [DOI] [PubMed] [Google Scholar]
  2. Albert M, Moss M, Tanzi R, Jones K. Preclinical prediction of AD using neuropsychological tests. J Internatl Neuropsychol Soc. 2001;7:631–639. doi: 10.1017/s1355617701755105. [DOI] [PubMed] [Google Scholar]
  3. Albert M, Blacker D, Moss M, Tanzi R, McArdle J. Longitudinal change in cognitive performance among individuals with mild cognitive impairment. Neuropsychol. 2007;21:158–169. doi: 10.1037/0894-4105.21.2.158. [DOI] [PubMed] [Google Scholar]
  4. Amieva H, Phillips L, Della Sala S, Henry J. Inhibitory functioning in Alzheimer’s disease. Brain. 2004;127:949–964. doi: 10.1093/brain/awh045. [DOI] [PubMed] [Google Scholar]
  5. Baddeley A, Logie R, Bressi S, Della Sala S, Spinnler H. Dementia and working memory. Quat J Exper Psychol. 1986;38:603–618. doi: 10.1080/14640748608401616. [DOI] [PubMed] [Google Scholar]
  6. Baudic S, Barba G, Thibaudet M, Smagghe A, Remy P, Traykov L. Executive function deficits in early Alzheimer’s disease and their relations with episodic memory. Arch Clin Neuropsychol. 2006;21:15–21. doi: 10.1016/j.acn.2005.07.002. [DOI] [PubMed] [Google Scholar]
  7. Becker JT. Working memory and secondary memory deficits in Alzheimer's disease. J Clin Exper Neuropsychol. 1988;10:739–753. doi: 10.1080/01688638808402811. [DOI] [PubMed] [Google Scholar]
  8. Bennett D, Schneider J, Arvanitakis Z, Kelly J, Aggarwal N, Shah R, Wilson R. Neuropathology of older persons without cognitive impairment from two communitybased studies. Neurol. 2006;66:1801–1802. doi: 10.1212/01.wnl.0000219668.47116.e6. [DOI] [PubMed] [Google Scholar]
  9. Blacker D, Lee H, Muzikansky A, Martin E, Tanzi R, McArdle J, Moss M, Albert M. Neuropsychological measures in normal individuals that predict subsequent cognitive decline. Arch Neurol. 2007;64:862–871. doi: 10.1001/archneur.64.6.862. [DOI] [PubMed] [Google Scholar]
  10. Blackwell A, Sahakian B, Vesey R, Semple J, Robbins T, Hodges J. Detecting dementia: novel neuropsychological markers of preclinical Alzheimer’s disease. Dement Geriatr Cogn Disord. 2004;17:42–48. doi: 10.1159/000074081. [DOI] [PubMed] [Google Scholar]
  11. Bondi M, Monsch A, Galasko D, Butters N, Salmon D, Delis D. Preclinical cognitive markers of dementia of the Alzheimer type. Neuropsychol. 1994;8:374–384. [Google Scholar]
  12. Bondi M, Serody A, Chan A, Eberson-Shumate S, Delis D, Hansen L, Salmon D. Cognitive and neuropathologic correlates of Stroop Color-Word Test performance in Alzheimer’s disease. Neuropsychol. 2002;16:335–343. doi: 10.1037//0894-4105.16.3.335. [DOI] [PubMed] [Google Scholar]
  13. Butters N, Salmon D, Heindel W, Granholm E. Episodic, semantic and procedural memory: Some comparisons of Alzheimer and Huntington disease patients. In: Terry RD, editor. Aging and the Brain. New York: Raven Press; 1988. pp. 63–87. [Google Scholar]
  14. Chan AS, Butters N, Paulsen JS, Salmon DP, Swenson M, Maloney L. An assessement of the semantic network in patients with AD. J Cog Neurosci. 1993;5:254–261. doi: 10.1162/jocn.1993.5.2.254. [DOI] [PubMed] [Google Scholar]
  15. Chan AS, Butters N, Salmon DP, Johnson S, Paulsen J, Swenson M. Comparison of the semantic networks in patients with dementia and amnesia. Neuropsychol. 1995;9:177–186. [Google Scholar]
  16. Chan AS, Butters N, Salmon DP. The deterioration of semantic networks in patients with Alzheimer’s disease: A cross-sectional study. Neuropsychologia. 1997;35:241–248. doi: 10.1016/s0028-3932(96)00067-x. [DOI] [PubMed] [Google Scholar]
  17. Chen P, Ratcliff G, Belle S, Cauley J, DeKosky S, Ganguli M. Cognitive tests that best discriminate between presymptomatic AD and those who remain nondemented. Neurol. 2000;55:1847–1853. doi: 10.1212/wnl.55.12.1847. [DOI] [PubMed] [Google Scholar]
  18. Chen P, Ratcliff G, Belle S, Cauley J, DeKosky S, Ganguli M. Patterns of cognitive decline in presymptomatic Alzheimer disease: a prospective community study. Arch Gen Psychiat. 2001;58:853–858. doi: 10.1001/archpsyc.58.9.853. [DOI] [PubMed] [Google Scholar]
  19. Connor D, Salmon D, Sandy T, Galasko D, Hansen L, Thal L. Cognitive profiles of autopsy-confirmed Lewy body variant vs. pure Alzheimer disease. Arch Neurol. 1988;55:994–1000. doi: 10.1001/archneur.55.7.994. [DOI] [PubMed] [Google Scholar]
  20. De Jager C, Blackwell A, Budge M, Sahakian B. Predicting cognitive decline in healthy adults. Am J Geriatr Psychiatry. 2005;13:735–740. doi: 10.1176/appi.ajgp.13.8.735. [DOI] [PubMed] [Google Scholar]
  21. Doerclx E, Engelborghs S, De Raedt R, Van Buggenhout M, De Deyn P, Verte D, Ponjaert-Kristoffersen I. Verbal cued recall as a predictor of conversion to Alzheimer’s disease in mild cognitive impairment. Int J Geriatr Psychiatry. 2009;24:1094–1100. doi: 10.1002/gps.2228. [DOI] [PubMed] [Google Scholar]
  22. Filoteo J, Delis D, Massman P, Demadura T, Butters N, Salmon D. Directed and divided attention in Alzheimer’s disease: impairment in shifting attention to global and local stimuli. J Clin Exp Neuropsychol. 1992;14:871–883. doi: 10.1080/01688639208402541. [DOI] [PubMed] [Google Scholar]
  23. Flicker C, Bartus R, Crook T, Ferris S. Effects of aging and dementia upon recent visuospatial memory. Neurobiol Aging. 1984:275–283. doi: 10.1016/0197-4580(84)90003-4. [DOI] [PubMed] [Google Scholar]
  24. Glosser G, Grugan PK, Friedman RB, Lee JH, Grossman M. Lexical, semantic, and associative priming in Alzheimer’s disease. Neuropsychol. 1998;2:218–224. doi: 10.1037//0894-4105.12.2.218. [DOI] [PubMed] [Google Scholar]
  25. Gomez-Isla T, Price JL, McKeel DW, Morris JC, Growdon JH, Hyman BT. Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease. J Neurosci. 1996;16:4491–4500. doi: 10.1523/JNEUROSCI.16-14-04491.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Grady CL, Haxby JV, Horwitz B, et al. Longitudinal study of the early neuropsychological and cerebral metabolic changes in dementia of the Alzheimer type. J Clin Exper Neuropsychol. 1988;10:576–596. doi: 10.1080/01688638808402796. [DOI] [PubMed] [Google Scholar]
  27. Grober E, Hall C, Lipton R, Zonderman A, Resnick S, Kawas C. Memory impairment, executive dysfunction and intellectual decline in preclinical Alzheimer’s disease. J Int Neuropsychol Soc. 2008;14:266–278. doi: 10.1017/S1355617708080302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Grossman M, Robinson K, Biassou N, White-Devine T, D'Esposito M. Semantic memory in AD: Representativeness, ontologic category, and material. Neuropsychol. 1998;12:34–42. doi: 10.1037//0894-4105.12.1.34. [DOI] [PubMed] [Google Scholar]
  29. Hamilton J, Salmon D, Galasko D, Delis D, Hansen L, Masliah E, Thomas R, Thal L. A comparison of episodic memory deficits in neuropathologically-confirmed dementia with Lewy bodies and Alzheimer’s disease. J Int Neuropsychol Soc. 2004;10:689–697. doi: 10.1017/S1355617704105043. [DOI] [PubMed] [Google Scholar]
  30. Hart RP, Kwentus JA, Harkins SW, Taylor JR. Rate of forgetting in mild Alzheimer's type dementia. Brain Cogn. 1988;7:31–38. doi: 10.1016/0278-2626(88)90019-x. [DOI] [PubMed] [Google Scholar]
  31. Hodges J, Salmon D, Butters N. Differential impirment of semantic and episodic memory in Alzheimer’s and Huntington’s diseases: a controlled prospective study. J Neurol Nuerosurg Psychiatry. 1990;53:1089–1085. doi: 10.1136/jnnp.53.12.1089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Hodges J, Salmon D, Butters N. Semantic memory impairment in AD: Failure of access or degraded knowledge? Neuropsychologia. 1992;30:301–314. doi: 10.1016/0028-3932(92)90104-t. [DOI] [PubMed] [Google Scholar]
  33. Hof P, Vogt B, Bouras C, Morrison J. Atypical form of Alzheimer’s disease with prominent posterior cortical atrophy: a review of lesion distribution and circuit disconnection in cortical visual pathways. Vision Res. 1997;37:3609–3625. doi: 10.1016/S0042-6989(96)00240-4. [DOI] [PubMed] [Google Scholar]
  34. Howieson D, Camicioli R, Quinn J, Silbert L, Care B, Moore M, Sexton D, Kaye J. Natural history of cognitive decline in the oldest old. Neurol. 2003;60:1489–1494. doi: 10.1212/01.wnl.0000063317.44167.5c. [DOI] [PubMed] [Google Scholar]
  35. Hulette C, Welsh-Bohmer K, Murray M, Saunders A, Mash D, McIntyre L. Neuropathological and neuropsychological changes in “normal” aging: Evidence for preclinical Alzheimer disease in cognitively normal individuals. J Neuropathol Exp Neurol. 1998;57:1168–1174. doi: 10.1097/00005072-199812000-00009. [DOI] [PubMed] [Google Scholar]
  36. Hyman BT, VanHoesen G, Damasio A, Barnes C. Alzheimer’s disease: cell specific pathology isolates the hippocampal formation. Science. 1984;225:1168–1170. doi: 10.1126/science.6474172. [DOI] [PubMed] [Google Scholar]
  37. Jacobs D, Sano M, Dooneief G, Marder K, Bell K, Stern Y. Neuropsychological detection and characterization of preclinical Alzheimer’s disease. Neurol. 1995;45:957–962. doi: 10.1212/wnl.45.5.957. [DOI] [PubMed] [Google Scholar]
  38. Johnson D, Storandt M, Morris J, Galvin J. Longitudinal study of the transition from healthy aging to Alzheimer disease. Arch Neurol. 2009;66:1254–1259. doi: 10.1001/archneurol.2009.158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Karrasch M, Sinerva E, Granholm P, Rinne J, Laine M. CERAD test performance in amnestic mild cognitive impairment and Alzheimer’s disease. Acta Neurol Scand. 2005;111:172–179. doi: 10.1111/j.1600-0404.2005.00380.x. [DOI] [PubMed] [Google Scholar]
  40. Kawas C, Corrada M, Brookmeyer R, Morrison A, Resnick S, Zonderman A, Arenberg D. Visual memory predicts Alzheimer’s disease more than a decade before diagnosis. Neurol. 2003;60:1089–1093. doi: 10.1212/01.wnl.0000055813.36504.bf. [DOI] [PubMed] [Google Scholar]
  41. Kluger A, Ferris S, Golomb J, Mittelman M, Reisberg B. Neuropsychological performance of decline in dementia in non-demented elderly. J Geriat Psychiat Neurol. 1999;12:168–179. doi: 10.1177/089198879901200402. [DOI] [PubMed] [Google Scholar]
  42. Knopman D, Parisi J, Salvati A, Floriach-Robert M, Boeve B, Ivnik R, Smith G, Dickson D, Johnson KA, Petersen L, McDonald W, Braak H, Petersen R. Neuopathology of cognitively normal elderly. J Neuropathol Exp Neurol. 2003;62:1087–1095. doi: 10.1093/jnen/62.11.1087. [DOI] [PubMed] [Google Scholar]
  43. Lafleche G, Albert M. Executive function deficits in mild Alzheimer's disease. Neuropsychol. 1995;9:313–320. [Google Scholar]
  44. Lange K, Sahakian B, Quinn N, Marsden C, Robbins T. Comparison of executive and visuospatial memory function in Huntington’s disease and dementia of Alzheimer type matched for degree of dementia. J Neurol Neurosurg Psychiatry. 1995;58:598–606. doi: 10.1136/jnnp.58.5.598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Martin A, Fedio P. Word production and comprehension in Alzheimer’s disease: The breakdown of semantic knowledge. Brain Lang. 1983;19:124–141. doi: 10.1016/0093-934x(83)90059-7. [DOI] [PubMed] [Google Scholar]
  46. Mesulam M, Wicklund A, Johnson N, Rogalaski E, Leger G, Rademaker A, Weintraub S, Bigio E. Alzheimer and frontotemporal pathology in subsets of primary progressive aphasia. Ann Neurol. 2008;63:709–719. doi: 10.1002/ana.21388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Milberg W, Albert M. Cognitive differences between patients with PSP and Alzheimer's Disease. J Clin Exper Neuropsychol. 1989;11:605–614. doi: 10.1080/01688638908400919. [DOI] [PubMed] [Google Scholar]
  48. Milberg WP, McGlinchey-Berroth R, Duncan KM, Higgins J. Alterations in the dynamics of semantic activation in Alzheimer's disease: Evidence for the Gain/Decay hypothesis of a disorder of semantic memory. JINS. 1999;5:641–658. doi: 10.1017/s1355617799577072. [DOI] [PubMed] [Google Scholar]
  49. Morris RG, Baddeley AD. Primary and working memory functioning in Alzheimer-type dementia. J Clin Exp Neuropsychol. 1988;10:276–279. doi: 10.1080/01688638808408242. [DOI] [PubMed] [Google Scholar]
  50. Moss MB, Albert MS, Butters N, Payne M. Differential patterns of memory loss among patients with Alzheimer's disease, Huntington's disease and Alcoholic Korsakoff's Syndrome. Arch Neurol. 1986;43:239–246. doi: 10.1001/archneur.1986.00520030031008. [DOI] [PubMed] [Google Scholar]
  51. Moss MB, Albert MS. Alzheimer's disease and other dementing disorders. In: Albert MS, Moss MB, editors. Geriatric Neuropsychology. New York: Guilford; 1988. pp. 145–178. [Google Scholar]
  52. Newmann S, Warrington E, Kennedy A, Rossor M. The earliest cognitive change in a person with familial Alzheimer’s disease: Presymptomatic neuropsychological features in a pedigree with familial Alzheimer’s disease confirmed at necropsy. J Neurol Neurosurg Psychiatr. 1994;57:967–972. doi: 10.1136/jnnp.57.8.967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Nebes RD, Brady CB. Integrity of semantic fields in Alzheimer's disease. Cortex. 1988;24:291–299. doi: 10.1016/s0010-9452(88)80037-6. [DOI] [PubMed] [Google Scholar]
  54. Nestor PG, Parasuraman R, Haxby JV. Speed of information processing and attention in early Alzheimer's dementia. Develop Neuropsychol. 1991;7:243–236. [Google Scholar]
  55. Parasuraman R, Greenwood P, Haxby J, Grady C. Visuospatial attention in dementia of the Alzheimer type. Brain. 1992;115:711–733. doi: 10.1093/brain/115.3.711. [DOI] [PubMed] [Google Scholar]
  56. Petersen R, Smith G, Ivnik R, Kokmen E, Tangalos E. Memory function in very early Alzheimer’s disease. Neurol. 1994;44:867–872. doi: 10.1212/wnl.44.5.867. [DOI] [PubMed] [Google Scholar]
  57. Petersen R, Smith G, Waring S, Ivnik R, Tangalos E, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999;56:303–308. doi: 10.1001/archneur.56.3.303. [DOI] [PubMed] [Google Scholar]
  58. Petersen R. Mild cognitive impairment. J Intern Med. 2004;256:183–194. doi: 10.1111/j.1365-2796.2004.01388.x. [DOI] [PubMed] [Google Scholar]
  59. Pike K, Savage G, Villemagne V, Ng S, Moss S, Maruff P, Mathis C, Klunk W, Masters C, Rowe C. Beta-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer’s disease. Brain. 2007;130:2837–2844. doi: 10.1093/brain/awm238. [DOI] [PubMed] [Google Scholar]
  60. Price JL, Morris JC. Tangles and plaques in nondemented aging and “preclinical” Alzheimer’s disease. Ann Neurol. 1999;45:358–368. doi: 10.1002/1531-8249(199903)45:3<358::aid-ana12>3.0.co;2-x. [DOI] [PubMed] [Google Scholar]
  61. Rabin L, Pare N, Saykin A, Brown M, Wisnhard H, Flashman L, Santulli R. Differential memory test sensitivity for diagnosing amnestic mild cognitive impairment and predicting conversion to Alzheimer’s disease. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2009;16:357–376. doi: 10.1080/13825580902825220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Raskovsky K, Salmon D, Ho G, Galasko D, Peavy G, Hansen L, Thal L. Cognitive profiles differ in autopsy-confirmed frontotemporal dementia and AD. Neurol. 2002;58:1801–1801. doi: 10.1212/wnl.58.12.1801. [DOI] [PubMed] [Google Scholar]
  63. Rouleau I, Salmon D, Butters N, Kennedy C, McGuire K. Quantitative and qualitative analyses of clock drawings in Alzheimer’s and Huntington’s disease. Brain Cogn. 1992;18:70–87. doi: 10.1016/0278-2626(92)90112-y. [DOI] [PubMed] [Google Scholar]
  64. Rouleau I, Salmon D, Butters N. Longitudinal analysis of clock drawing in Alzheimer’s disease patients. Brain Cogn. 1996;31:17–34. doi: 10.1006/brcg.1996.0022. [DOI] [PubMed] [Google Scholar]
  65. Rubin E, Storandt M, Miller JP, Kinscherf A, Grant E, Morris J, Berg L. A prospective study of cognitive function and onset of dementia in cognitively healthy elders. Arch Neurol. 1998;55:395–401. doi: 10.1001/archneur.55.3.395. [DOI] [PubMed] [Google Scholar]
  66. Sahakian B, Downes J, Eagger S, Evenden J, Levy R, Philpot M, Roberts A, Robbins T. Sparing of attentional relative to mnemonic function in a subgroup of patients with dementia of the Alzheimer type. Neuropsychologia. 1990;28:1197–1213. doi: 10.1016/0028-3932(90)90055-s. [DOI] [PubMed] [Google Scholar]
  67. Salmon DP, Shimamura AP, Butters N, Smith S. Lexical and semantic priming deficits in patients with Alzheimer’s disease. J Clin Exp Neuropsychol. 1988;10:477–494. doi: 10.1080/01688638808408254. [DOI] [PubMed] [Google Scholar]
  68. Sarazin M, Berr C, De Rotrou J, Fabrigoule C, Pasquier F, Legrain S, Michel B, Puel M, Voltreau M, Touchon J, Verny M, Dubois B. Amnestic syndrome of the medial temporal lobe type identifies prodromal AD: a longitudinal study. Neurol. 2007;69:1859–1867. doi: 10.1212/01.wnl.0000279336.36610.f7. [DOI] [PubMed] [Google Scholar]
  69. Saxton J, Lopez O, Ratcliff G, Dulberg C, Fried L, Carlson M, Newman A, Kuller L. Preclinical Alzheimer’s disease: neuropsychological test performance 1.5 to 8 years prior to onset. Neurol. 2004;63:2341–2347. doi: 10.1212/01.wnl.0000147470.58328.50. [DOI] [PubMed] [Google Scholar]
  70. Schmitt F, Davis D, Wekstein D, Smith C, Ashford J, Markesbery W. “Preclinical” AD revisited: Neuropathology of cognitively normal older adults. Neurol. 2000;55:370–376. doi: 10.1212/wnl.55.3.370. [DOI] [PubMed] [Google Scholar]
  71. Sebastian M, Menor J, Elosua M. Attentional dysfunction of the central executive in AD: evidence from dual task and perseveration erros. Cortex. 2008;42:1015–1020. doi: 10.1016/s0010-9452(08)70207-7. [DOI] [PubMed] [Google Scholar]
  72. Selkoe D. Defining molecular targets to prevent Alzheimer disease. Arch Neurol. 2005;62:192–195. doi: 10.1001/archneur.62.2.192. [DOI] [PubMed] [Google Scholar]
  73. Small G, LaRue A, Komo S, Kaplan A, Mandelkern M. Predictors of cognitive change in middle-aged and older adults with memory loss. Amer J Psychiatr. 1995;152:1757–1764. doi: 10.1176/ajp.152.12.1757. [DOI] [PubMed] [Google Scholar]
  74. Squire LR, Zola SM. Structure and function of declarative and nondeclarative memory systems. Proc Natl Acad Sci. 1996;93:13515–13522. doi: 10.1073/pnas.93.24.13515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Stokholm J, Vogel A, Glade A, Waldemar G. Heterogeneity in executive impairment in patients with very mild Alzheimer’s disease. Dement Geriatr Cogn Disord. 2008;22:54–59. doi: 10.1159/000093262. [DOI] [PubMed] [Google Scholar]
  76. Storandt M, Hill RD. Very mild senile dementia of the Alzheimer type. II. Psychometric test performance. Arch Neurol. 1989;46:383–386. doi: 10.1001/archneur.1989.00520400037017. [DOI] [PubMed] [Google Scholar]
  77. Storandt M, Mintun M, Head D, Morris J. Cognitive decline and brain volume loss as signatures of amyloid-beta peptide deposition identified with Pittsburgh compound B: cognitive decline associated with Abeta deposition. Arch Neurol. 2009;66:1476–1481. doi: 10.1001/archneurol.2009.272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Tabert M, Manly J, Liu X, Pelton G, Rosenblum S, Jacobs M, Zamora D, Goodkind M, Bell K, Stern Y, Devanand D. Neuropsychological prediction of conversion to Alzheimer disease in patients with mild cognitive impairment. Arch Gen Psychiatry. 2006;63:916–924. doi: 10.1001/archpsyc.63.8.916. [DOI] [PubMed] [Google Scholar]
  79. Tierney M, Szalai J, Snow W, Fisher R, Nores A, Nadon G, Dunn E, St.George-Hyslop P. Prediction of probable Alzheimer’s disease in memory-impaired patients: A prospective longitudinal study. Neurol. 1996;46:661–665. doi: 10.1212/wnl.46.3.661. [DOI] [PubMed] [Google Scholar]
  80. Troster A, Salmon D, McCullough D, Butters N. A comparison of the category fluency deficits associated with Alzheimer’s and Huntington’s disease. Brain Lang. 1989;37:500–513. doi: 10.1016/0093-934x(89)90032-1. [DOI] [PubMed] [Google Scholar]
  81. Troster A, Butters N, Salmon D, Cullum C, Jacobs D, Brandt J, White R. The diagnostic utility of savings scores: differentiating Alzheimer’s and Huntington’s diseases with the logical memory and visual reproduction tests. J Clin Exp Neuropsychol. 1993;15:773–788. doi: 10.1080/01688639308402595. [DOI] [PubMed] [Google Scholar]
  82. Tuokko H, Vernon-Wilkinson J, Weir J, Beattie W. Cued recall and early identification of dementia. J Clin Exper Neuropsychol. 1991;13:871–879. doi: 10.1080/01688639108405104. [DOI] [PubMed] [Google Scholar]
  83. Villemagne V, Pike K, Darby D, Maruff P, Savage G, Ng S, Ackermann U, Cowie T, Currie J, Chan S, Jones G, Tochon-Danguy H, O’Keefe G, Masters C, Rowe C. Abeta deposits in older non-demented individuals with cognitive decline are indicative of preclinical Alzheimer’s disease. Neuropsychologia. 2008;46:1688–1697. doi: 10.1016/j.neuropsychologia.2008.02.008. [DOI] [PubMed] [Google Scholar]
  84. Welsh K, Butters N, Hughes J, Mohs R, Heyman A. Detection of abnormal memory decline in mild cases of Alzheimer’s disease using CERAD neuropsychological measures. Arch Neurol. 1991;48:278–281. doi: 10.1001/archneur.1991.00530150046016. [DOI] [PubMed] [Google Scholar]
  85. Welsh K, Butters N, Hughes J, Mohs R, Heyman A. Detection and staging in Alzheimer's disease: Use of the neuro psychological measures developed for the Consortium to Establish a Registry for Alzheimer's Disease. Arch Neurol. 1992;49:448–452. doi: 10.1001/archneur.1992.00530290030008. [DOI] [PubMed] [Google Scholar]
  86. Wilson R, Bacon L, Fox P, Kaszniak A. Primary memory and secondary memory in dementia of the Alzheimer type. J Clin Neuropsychol. 1983;5:337–344. doi: 10.1080/01688638308401181. [DOI] [PubMed] [Google Scholar]

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