Abstract
Cortical/cerebral visual impairment (CVI) results from perinatal injury to visual processing structures and pathways of the brain and is the most common cause of severe visual impairment/blindness in children in developed countries. Children with CVI display a wide range of visual deficits including decreased visual acuity, impaired visual field function, as well as impairments in higher order visual processing and attention. Together, these visual impairments can dramatically impact upon a child’s development and well-being. Given the complex neurological underpinnings of this condition, CVI is often undiagnosed by eye care practitioners. Furthermore, the neurophysiological basis of CVI in relation to observed visual processing deficits remains poorly understood. Here, we present some of the challenges associated with the clinical assessment and management of individuals with CVI. We discuss how advances in brain imaging are likely to help uncover the underlying neurophysiology of this condition. In particular, we demonstrate how structural and functional neuroimaging approaches can help gain insight into abnormalities of white matter connectivity and cortical activation patterns respectively. Establishing a connection between how changes within the brain relate to visual impairments in CVI will be important for developing effective rehabilitative and education strategies for individuals living with this condition.
Keywords: cortical, cerebral, visual impairment, blindness, connectivity, white matter, structural brain imaging, functional brain imaging
Introduction
Brain related visual impairment remains a highly challenging condition to assess and manage. In a fully developed brain, acquired bilateral injury to visual processing areas (primarily the occipital lobes) results in a condition referred to as “cortical blindness” [1]. This condition was historically described in soldiers who exhibited profound vision loss after suffering traumatic gunshot wounds to posterior portions of the head, despite having normal eye function [2].
More recently, there has been a growing concern regarding children born with profound visual impairment as a result of brain damage occurring in early development. The visual deficits observed are much more heterogeneous and difficult to characterize than in adults with acquired brain injury. Moreover, because these children tend to have a complex underlying neurological history, their visual impairments are often incorrectly characterized, or even remained undiagnosed by eye care providers [3].
In order to differentiate early onset damage to the developing visual system (as compared to acquired brain injury in the adult brain), the term “cortical visual impairment” was coined because these children were rarely profoundly blind [4]. Nevertheless, as the diversity of children with brain based visual impairment was more carefully assessed and appreciated, it became evident that many deficits associated with higher order visual processing and visually guided motor impairments were also present. Thus, the term “cerebral” was substituted in place of “cortical” to more globally encompass these higher order visual processing deficits and their presumed association with damaged areas of the visual processing pathway (e.g. subcortical structures including the thalamus, optic radiations and other white matter pathways, as well as higher-order associative processing areas of the cortex) (see also [5, 6] for further discussion). Currently, the definition of CVI has evolved to encompass a significant deficit in visual function associated with damage to retrochiasmatic visual pathways and cerebral structures in the absence of major ocular disease, oculomotor disorder, or uncorrected refractive error. In other words, it is a condition characterized by visual deficits that cannot be explained by ocular abnormalities alone [7–11].
It should also be noted that the diagnosis of CVI is different to that of “Delayed Visual Maturation”. In this latter condition, an infant will typically have a normal perinatal history and developmental milestones with no ophthalmologic disorders, yet appear visually unresponsive in early infancy. Visual acuity may be markedly reduced when first tested, but rapidly improves to normal, or near normal levels within weeks or months [12, 13].
Depending on the location and extent of the damage, children with CVI often present with a broad range and combination of visual dysfunctions such as decreased visual acuity, visual field deficits, and also impairments in oculomotor, visuomotor, and cognitive visual processing [7, 14–16]. The variability in the location and extent of brain injury across individuals makes the prediction of visual functional outcomes and recovery in CVI patients particularly challenging [17]. Furthermore, as a result of wide spread neuronal damage, other sensory deficits (e.g. hearing) may often be present in addition to cognitive delays, motor disabilities (such as cerebral palsy) and other neurological conditions (such as seizures) [10, 18]. In clinical institution-based and population-based studies of CVI, cerebral palsy is frequently reported as an associated comorbidity (26% [10], 59% [19], and 73% [20]). Cerebral palsy in the presence of cognitive impairment has also been reported in conjunction with CVI (37% [11] and 97% [21]). Taken together, these associated comorbidities make the diagnosis and characterization of the underlying visual impairment an even greater challenge.
While children with CVI typically have some degree of residual visual function, the impact of CVI is often very detrimental on a child’s development, learning, mobility, and overall quality of life [22, 23]. In some cases, visual function may improve during early development due to either delayed maturation of less damaged pathways or from neuroplastic changes in the brain’s “rewiring” [9–11, 24]. Nonetheless, the relationship between observed visual deficits and the underlying structural and functional brain changes resulting from damage to the visual processing system remains poorly understood in CVI [25]. Specifically, it remains unknown how the maldevelopment of key visual pathways relates to the organization of the visual system as a whole, and further, how structural and functional brain changes relate to visual impairments observed within the clinical setting and in daily activities. A key advancement needed in this arena is gaining a greater understanding of these alterations in brain connectivity and function in CVI to enhance visual function and capabilities, and even possibly predict developmental trajectories.
Epidemiology of CVI
It is striking to realize that the primary cause of profound visual impairment in children in developed countries is the result of damage and maldevelopment of the brain rather than the eye itself. CVI is a rising significant public health concern and currently the most common cause of severe visual impairment/blindness in the pediatric population [26, 27]. For example, a population based study in the United Kingdom of newly diagnosed children with severe vision loss/blindness found that CVI (48%) was the most common causal disorder compared to damage to the retina (29%) or optic nerve (28%) [28]. A similar prevalence of CVI has been reported from other studies of childhood visual impairment/blindness from the Netherlands (25% [21]), New Zealand (30% [19]) and Ireland (45% [29]). In the United States, a study by Kong and coworkers (2012) surveyed schools for the blind and reported that from a total of 3,070 students, the leading cause of blindness was CVI (18%), followed by optic nerve hypoplasia (15%) and retinopathy of prematurity (14%) [30]. According to the American Foundation of the Blind, 30 to 40% of observed cases of visual impairment in children were associated with CVI [31]. Moreover, current trends suggest that the incidence of CVI is continuing to rise, due in large part to advancements in the delivery of neonatal intensive care. The improved care in turn contributes to greater infant survival from neurological damage and complications occurring during pregnancy and perinatal period [27, 32].
Causes of CVI in Children
The causes of CVI are numerous although perinatal hypoxic ischemia is the most common culprit, leading to impaired maturation of key visual pathways and structures (a general condition referred to as white matter damage of immaturity; or WMDI). As a result, cell death (i.e., necrosis) of myelinated and pre-myelinated fibers occurs obstructing the normal development of white matter pathways that communicate along the visual processing stream (including the optic radiations) as well as between sensory and motor areas of the brain. At the same time, cortical gray matter and subcortical structures (including the thalamus) are also often affected [33]. Apart from hypoxic injury, other important causes of CVI include infection, metabolic disorders, trauma, and epilepsy (see also [9] for further discussion).
It is now understood that gestational age at birth (and associated birth weight) is important in determining the consequences of perinatal hypoxia. Thus, in characterizing the nature of the resulting brain injury, it is useful to distinguish between infants who are born prematurely versus those born at term. Indeed, children born prematurely with low birth weight represent a higher risk for developing visual impairment including CVI [34].
In preterm infants, brain maldevelopment is often associated with periventricular leukomalacia (PVL) [35]. This typically involves hemorrhagic necrosis in the periventricular white matter just dorsal and lateral to the external angle of the lateral ventricles [36]. There is characteristic enlargement of the lateral ventricles and focal gliosis of surrounding white matter pathways coursing on to the visual cortex [16, 27]. The main factors commonly associated with PVL are an underdeveloped vasculature of the surrounding white matter and impairment of cerebral blood flow regulation, both of which can predispose white matter to ischemic injury in the preterm infant. Crucially, as the tracts of the optic radiations and connections to visual association cortex travel within the periventricular white matter, PVL is often associated with impaired visual processing [16, 27]. In infants born at term, perinatal hypoxic ischemia results in hypoxic ischemic encephalopathy (HIE) and is the primary cause leading to CVI in term infants [19, 37]. In HIE, areas that are most commonly damaged are deep gray matter, hippocampus, brainstem, and thalamic regions [38].
Characterization of Visual Deficits
Children with CVI often present with decreased visual acuity ranging from mild to moderate impairment/low vision and even (though more rarely) profound blindness [14]. Visual field defects are frequently present (typically in the lower hemi-field) [27, 32] and contrast sensitivity may also be reduced [14]. Oculomotor abnormalities are similarly common in children with CVI [9–11]. In a study of 121 children with CVI, oculomotor abnormalities were prevalent, including limited fixation (48%), abnormal smooth pursuit (89%), and abnormal saccadic eye movements (44%). Strabismus was present in 73%, along with impaired ocular motility (85%) and nystagmus (54%) [14]. However, as noted earlier, these deficits are not sufficient to explain the broad range of visual dysfunctions observed CVI.
Behavioral characteristics and visual dysfunctions in CVI (first described by Jan and colleagues) are markedly different from children with ocular causes of blindness and visual impairment [39, 40]. The profile of behaviors described include variable visual attention and inattention (particularly in unfamiliar or complex environments), supplementing vision with touch, looking away while reaching for objects, close viewing in the absence of refractive errors, objects that are moving are attended better than when static, attraction to colored objects, and light gazing as well as photophobia. There are also observed difficulties in higher-order visuospatial processing leading to substantial functional limitations that impact a child’s learning, mobility, and development [22, 23]. This broad spectrum of visual deficits makes testing not only difficult, but also raises challenges in terms of developing appropriate and individualized rehabilitative strategies [8, 17].
A practical and useful conceptual framework in characterizing observed deficits in CVI is to incorporate the two-stream hypothesis of visual processing. This hypothesis proposes a functional division of labor between the processing of spatial properties compared to object related information as a way to describe how the visual system analyzes attributes within a visual scene [41]. Briefly, the dorsal stream projects from the occipital cortex to posterior parietal cortical areas and is responsible for spatial processing and visuomotor control for action. In contrast, the ventral stream projects from occipital cortex to the temporal lobe and is responsible for the identification of objects and their attributes. Based on clinical observations and psychophysical evidence regarding the nature of the visual dysfunctions in CVI, certain investigators have proposed that CVI may be a condition best characterized as a dorsal stream “dysfunction” or “vulnerability” consistent with an impairment in the functioning of the dorsal/spatial visual processing pathway [42–44]. In this view, impairment of dorsal visual stream processing would impact upon an individual’s ability to process and interact with complex visual scenes in two-dimensional and three-dimensional space [7, 45]. Dorsal pathway dysfunction has been presumed to be the consequence of white matter damage surrounding the lateral ventricles and affecting occipital-parietal brain areas. It is worth noting however, that despite strong clinical observations and psychophysical evidence, neurophysiological support for this concept remains lacking.
It is important to note that spatial processing deficits are not always observed in individuals with CVI, nor do they occur in isolation from other non-spatial visual processing deficits. At the same time, it remains unclear if there is indeed a strong predilection for spatial processing impairments in CVI, or if there is a bias related to testing methodologies and deficits that are more associated with the nature of assessment and/or cognitive delays (that is, cognitive issues such as imagery, language, and memory; see [46] for further discussion). Younger and more visually impaired children typically cannot participate in higher “cognitive” visual tests and thus, ventral pathway functions may be underrepresented in many studies. Indeed, many individuals with CVI also exhibit visual dysfunctions related to object identification including recognizing faces and object shapes [6, 14, 46, 47]. Impairments in object identification would be consistent with the notion of dysfunction along the ventral visual processing pathway. Lastly, since concomitant oculomotor and attentional issues are also often present in individuals with CVI, damage to other areas implicated with ocular movements and attention (e.g. frontal areas) may also be implicated. Therefore, while damage along key visual processing streams may be associated with observed perceptual deficits, it is important to recognize that the underlying maldevelopment of the brain in CVI appears to be more extensive and complex than previously assumed.
Assessment
Just as it is critical to provide early intervention services for an individual with delayed milestones, it is important to provide vision services early in life for individuals with CVI to maximize the development of visual functioning. If parents are concerned that their child is not responding visually or is not developing typical visual motor skills (such as reaching for an object of interest), then CVI should be part of the differential diagnosis along with more commonly considered ocular causes of visual impairment (e.g. uncorrected refractive error, visual field loss, and ocular health issues) and oculomotor dysfunction (e.g. strabismus and nystagmus). This issue is particularly relevant in the cases where the child has a known history of neurological complications or cognitive delay.
When seeing a patient for a comprehensive functional low vision evaluation, the eye care practitioner often needs to review reports from many health care providers and specialties (e.g. neurology, radiology, occupational and physical therapy, speech and language) while maintaining coordinated communication with education services. This information has to be synthesized to help guide the examination as well as provide a framework for considering appropriate interventions (e.g. corrective glasses, vision therapy, and training strategies), and advocating for vision educator services as part of the individualized family service plan (IFSP) or the individualized educational plan (IEP).
The approach to assessing visual function in individuals with CVI often requires significant adaptation to collect reliable data. In this context, no individual is “untestable” or considered too “uncooperative” to be examined [48]. The purpose of the modified vision examination by an appropriately trained pediatric ophthalmologist or optometrist is to assess both visual function and functional vision. Visual function findings relate to performance measures such visual acuity (detection vs. recognition), contrast sensitivity, visual field, color vision, ocular movements, and an assessment of ocular health. Functional vision is an assessment of how an individual uses their vision in daily activities. For example, “is the child visually curious? Will the child only look at someone only after they speak? Does the child respond better to a novel stimulus or to a familiar one?”.
Because many of the children seen for evaluation are developmentally delayed and may have numerous behavioral particularities, it is up to the doctor and his/her staff to create an environment in which the patient will be successful. Crucially, the clinician must perform the right test, at the right time, and in the right manner. For example, assessing eye movement function may be performed with a favorite toy before testing visual acuity (for further details regarding examination see [31, 49, 50].
The findings of the evaluation, in conjunction with the previously reviewed information and history, should provide the basis upon which the eye care provider can educate the family and participating caregivers. Additional evaluations by these professionals may include community-based functional vision assessment, orientation and mobility assessment, and a learning media assessment with a sensory channel component [31, 51].
The Role of Brain Imaging in CVI
One of the greatest challenges in characterizing the neurophysiological substrate underlying visual dysfunction in CVI is that damage to cerebral structures is highly heterogeneous across individuals in terms of location, as well as timing, extent, and cause. As mentioned previously, early developmental damage to the brain may implicate retrogeniculate visual structures and pathways including the thalamus, optic radiations and other white mater connections, and cortical gray matter. Given this heterogeneity, it has been suggested that developing a sub-classification based on anatomical damage could be helpful with regards to diagnostic specificity [52]. In this regard, brain imaging methodologies may be of particular utility to better understand the relationship between brain maldevelopment and visual impairment [27, 53–55]. A number of studies have attempted to associate visual impairments observed in individuals with CVI with alterations in brain structure using standard clinical neuroimaging modalities such as ultrasound, computerized tomography (CT), and more recently, magnetic resonance imaging (MRI) and other MRI-based modalities. In this regard, neuroimaging studies can help in two important directions. First, brain imaging can accurately define important parameters regarding the nature of the cerebral injury (such as location and extent). Second, there is the possibility of identifying characteristic features that may have prognostic value regarding neurodevelopmental outcome [54]. Again, the relationship between visual dysfunction and cerebral damage in CVI is complex and remains poorly understood [25]. However, as new imaging approaches continue to develop, and with higher sensitivity to detect subtle changes in brain structure and function, we may be in a better position to understand the relationship between the impact of injury and the trajectory of brain development.
A number of studies have attempted to relate functional visual impairments to perinatal brain injury, but with mixed results [56–60]. For example, Schenk-Rootlieb and colleagues (1994) reviewed the CT scans of 36 individuals with CVI were reviewed (from a cohort of 49 patients diagnosed with cerebral palsy). Abnormalities of the white matter were detected adjacent to the posterior horns of the lateral ventricles, white matter under the visual cortex, as well as to the visual cortex itself [61].
Further attempts to characterize structural damage have been carried out with more advanced imaging modalities such as MRI. In contrast to ultrasound and CT, MRI offers greater sensitivity to structural changes in the brain. In one study, Guzzetta and colleagues (2001) reviewed findings regarding visual disorders in children with neonatal brain lesions and reported that visual impairment was more consistent with the site and severity of lesions in the case of individuals born premature with PVL than in term born children with HIE. The presence and severity of visual impairment was not always consistent with the severity of HIE [58]. These results suggest that the presence and degree of PVL are important factors in relation to the extent of functional impairment of the individual [58, 62]. Serdaroglu and colleagues (2004) used structural MRI and reported that the severity of PVL correlated with neurodevelopmental outcomes. Specifically, children with low severity of PVL had minor motor problems or mild to normal functional outcomes, whereas the presence of cortical atrophy and thinning of the corpus callosum were associated with more developmental delays [63]. Cioni and colleagues (2000), also using MRI, attempted to correlate visual functional with neurodevelopmental outcomes in children with PVL aged between one and three years old. Visual outcome measures included acuity, visual field function, and optokinetic nystagmus. Using a multivariate analysis approach, these investigators found that there was a strong association between the degree of visual impairment and the damage observed to optic radiations (as indexed by structural MRI) [64].
These early studies using standard clinical neuroimaging techniques have helped characterize gross changes in cerebral structure in relation to CVI. Additionally, the finer resolution afforded by MRI has allowed for the generation of images with greater detail. However, the underlying micro-architecture of key white matter pathways (such as the optic radiations and cortical-cortical connections) cannot be fully ascertained with standard structural imaging techniques. For this purpose, advances in diffusion based imaging modalities (i.e. diffusion MRI) such as diffusion tensor imaging (DTI) and high angular resolution diffusion based imaging (HARDI) combined with tractography analysis techniques can be used to reveal the organization and integrity of specific white matter projections. In turn, this analysis can reveal important information as to how the brain is inter-connected [65, 66]. Briefly, diffusion MRI tracks the movement of water molecules in the brain. The constrained motion of water in association with the orientation of axonal fibers allows for the overall organization of white matter projections to be inferred [65, 66]. By employing tractography techniques, the brain can be “virtually dissected” so as to so that key pathways of interest can be reconstructed and individually examined [67].
In a recent study by Lennartsson and colleagues (2014), diffusion weighted MRI was carried out in a group of individuals with documented visual dysfunction who had white matter damage predominantly in the superior posterior periventricular white matter [68]. It was found that early injury to the optic radiations was associated with characteristic patterns of visual field deficits. The authors of this review have also investigated white matter structure in CVI using HARDI. While both DTI and HARDI techniques provide information regarding white matter organization, it is becoming increasingly established that HARDI is superior in its ability to delineate the organization of crossing fibers, and ultimately the overall microarchitecture of the brain [66, 69, 70]. In a preliminary study, white matter whole brain connectivity was characterized using HARDI in individuals with CVI associated with PVL and individuals with CVI born at term (i.e. non-PVL). Compared to age matched and normal controls, it was noted that individuals with CVI and PVL showed a marked reduction in the degree of overall white matter arborization. In comparison, whole brain connectivity in individuals with CVI but born at term (i.e. non-PVL) did not appear as impaired (figure 1). These preliminary observations are in line with clinical observations regarding the impact of PVL compared to HIE on visual dysfunctions and other associated sensorimotor and cognitive delays in CVI [58].
Figure 1.
(A) Axial T1-weighted MRI images in a normally sighted control (19 y.o. female; no history of visual dysfunction; left panel) and an individual with CVI born prematurely (16 y.o. female; 20/60 visual acuity; middle panel) and another individual with CVI born at term (19 y.o. male; 20/100 visual acuity; right panel). Note the presence of enlarged lateral ventricles characteristic of periventricular leukomalacia (PVL) (white arrow, middle panel) compared to the control individual. In contrast, the lateral ventricles appear normal in the individual with CVI born at term (right panel). However, areas of focal cortical and white matter damage are apparent (grey arrow). With standard MRI imaging, no further information is provided beyond gross anatomical changes. (B) Corresponding axial view of whole brain white matter tractography reconstruction in the same individuals revealed with diffusion MRI (HARDI). Note the robust arborization present throughout the brain in the control individual. In contrast, evidence of decreased white matter connections (including the occipital pole; black arrow) is evident in the individual born premature with CVI due to PVL (middle panel). In the individual with CVI born at term (right panel), white matter connectivity appears reduced, but not as dramatic as in the individual with PVL. Color scheme corresponds to fiber orientation plane (green: anterior (ant) to posterior (post), red: left (L) to right (R), blue: head to feet). White matter fiber tracking and reconstruction was performed using DSI Studio software (http://dsi-studio.labsolver.org/). Both T1-weighted and HARDI images were acquired in the same scanning session. HARDI images were acquired with an 18 min scan time. Figure modified from [78].
As mentioned previously, clinical observations have suggested that CVI may represent a condition of dorsal stream “dysfunction” or “vulnerability” consistent with maldevelopment and impaired function of the dorsal/spatial visual processing pathway [42–44]. It would be reasonable to surmise that individuals with dramatic spatial processing deficits would also show evidence of associated structural deficits in the white matter connections subserving the dorsal/spatial processing pathway. Again, diffusion based imaging can prove useful in helping to associate changes in the structure and integrity of the dorsal stream with observed deficits in spatial visual processing. Specifically, previous work has identified the superior longitudinal fasciculus (SLF) as the neuroanatomical correlate to the dorsal visual processing pathway. The SLF can be accurately characterized using white matter tractography reconstruction techniques [67]. For its part, the inferior longitudinal fasciculus (ILF) has been identified as the neuroanatomical correlate to the ventral visual processing pathway and similarly be accurately reconstructed [71].
In the case of CVI, a number of recent studies have investigated the individual pathways implicated in the processing of visual information between cortical areas of the brain with the aim of establishing a possible association between the structural integrity of these pathways and visual dysfunction in CVI. In one study by Ortibus and colleagues (2011), the integrity of the ILF (measured by fractional anisotropy, or FA) was examined using DTI in association with impairments in object identification observed in a cohort of individuals with CVI. Specifically, it was shown that the structural integrity of the ILF was significantly decreased in CVI compared to normally developed controls [72]. In a case series study by some of the co-authors of this review (CMB and LBM), HARDI imaging was used to reconstruct the SLF and ILF in two individuals with CVI with clinically assessed visual dysfunctions characterized as impairments in visual guided attention and visuospatial processing [73, 74]. Compared to a sighted control subject, both CVI cases revealed a striking reduction in the structural integrity of the SLF (defined as a reduction in the number of fibers present in the fasciculus, see figure 2). Interestingly, commensurate reductions in the ILF were also observed in the individual with CVI that also exhibited object related visual deficits (figure 2C). The observed reductions in the structural integrity associated with the key extrageniculo-striate visual pathways implicated in visual processing help provide for a neuroanatomical basis for the visual dysfunctions observed in individuals with CVI [74].
Figure 2.
Sagittal view of white matter tractography of the dorsal and ventral visual processing streams revealed with diffusion MRI (HARDI). “Virtual dissection” allows for the reconstruction of the superior longitudinal (SLF) and inferior longitudinal (ILF) fasciculi (corresponding to the neuroanatomical correlates of the dorsal/spatial and ventral/object visual processing streams respectively). The fasciculi were reconstructed by seeding the occipital pole. Similar patterns of white matter tractography emerged from both hemispheres in each individual so reconstruction in only the left hemisphere is shown for simplicity. A) Reconstruction of the two fasciculi in a normally sighted control (18 y.o. male; no history of visual dysfunction). Note the robust appearance of the SLF (white arrow) and ILF (black arrow). B) Reconstruction of the same two fasciculi in an individual with CVI with spatial processing deficits (14 y.o. male; 20/25 visual acuity). Note the dramatic reduction in the structural integrity of the SLF consistent with spatial processing deficits. C) Reconstruction in a second individual CVI (20 y.o. male; 20/25 visual acuity) with observed deficits in both spatial processing and object recognition. Note the corresponding reduction in structural integrity of both the SLF and ILF, respectively. Color scheme same as presented in Figure 1. Figure modified from [74].
Findings using diffusion based MRI techniques such as DTI and HARDI appear to support the view that white matter changes are dramatically altered in the case of CVI. It is also possible to investigate the activation of cortical areas in correspondence to visual stimulation using functional MRI (fMRI). In contrast to diffusion based imaging, fMRI measures task related changes in blood flow and oxygenation levels to infer activity within localized regions of the brain [75]. In a recent case study using a combined HARDI and fMRI approach, Merabet and colleagues (2016) demonstrated in an individual with CVI and clinically documented inferior visual field deficit (assessed by formal perimetric testing), there was a correspondence between the location and extent of damage (as revealed by combined structural and functional imaging) and the location of the visual field deficit observed. Specifically, damage to superior branches of the optic radiations (characterized by HARDI) were associated with reduced retinotopic activation of corresponding early visual cortical areas (as indexed by fMRI) responsible for the representation of the inferior visual field [76] (figure 3). This correspondence is in accordance to the known anatomical and functional organization of visual pathways and geniculo-cortical representation of visual field space [77] and demonstrates the advantage of a combining a clinical and multimodal neuroimaging approach to help characterize the underlying neurophysiology of visual deficits.
Figure 3.
Activation of early retinotopic areas of the occipital cortex using fMRI (inflated projection of the brain showing the posterior poles of the right and left hemisphere). (A) Selective stimulation of the upper and lower visual fields leads to robust and corresponding activation within the lower (yellow) and upper (blue) banks of the calcarine sulcus (red dotted line). (B) Activation of corresponding retinotopic areas in an individual with CVI using the same upper and lower visual field stimuli. This individual has a documented bilateral inferior visual field defect (as measured by formal perimetry testing). Note that activation within the lower visual field appears reduced (gaps in activation indicated by arrows) compared to the sighted control (for further details regarding this clinical case report, see [76]).
Guzzetta and colleagues (2001) notably reported that structural MRI defined areas of brain damage were not always predictive of visual field defects in children as expected in adults with the same lesions [58]. In a review by the same investigators [24], it was found that many individuals diagnosed with CVI and with early periventricular damage to the optic radiations often showed normal development of visual field function. The authors suggested that the preservation of visual field function they reported may be the result of compensatory neuroplastic reorganization [24]. This observation certainly has important rehabilitative implications that merit further careful study. Furthermore, it also speaks to the value of advanced imaging techniques (such and diffusion MRI and fMRI) to characterize anatomical-functional-behavioral relationships at the individual level.
Conclusions
Taken together, it is becoming clearer that visual dysfunctions observed in CVI are likely associated with a vulnerability and maldevelopment of numerous key pathways supporting the developing visual system. Neuroplastic changes within the developing brain (such as the “rewiring” of main geniculo-cortical or cortico-cortical connections) may support the sparing of visual function in certain individuals. It is important that future work focus on establishing a neurophysiological basis for CVI in order to associate structural and functional impairments of visual processing pathways with a broad range of measured outcomes of visual processing deficits at the individual level.
The use of advanced neuroimaging modalities like diffusion MRI and fMRI are still in their infancy in terms of their application in CVI, but early studies suggest that much can be learned regarding the underlying neurophysiology of this condition beyond standard structural imaging alone. Uncovering associated links between brain connectivity (i.e. “wiring”), brain activation (as indexed by fMRI), and the visual dysfunction observed in the clinical setting may help provide clues for the development of novel education and rehabilitation strategies for individuals living with CVI.
Acknowledgments
This work was supported by grants from the NIH/NEI (RO1 EY019924) and the Low Vision Research Award from Research to Prevent Blindness (RPB) and the Lions Clubs International Foundation (LCIF) to LBM.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Horton JC, Hoyt WF. The representation of the visual field in human striate cortex. A revision of the classic Holmes map. Archives of ophthalmology. 1991;109(6):816–24. doi: 10.1001/archopht.1991.01080060080030. Epub 1991/06/01. [DOI] [PubMed] [Google Scholar]
- 2.Holmes G. Disturbances of Vision by Cerebral Lesions. Br J Ophthalmol. 1918;2(7):353–84. doi: 10.1136/bjo.2.7.353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Dutton GN, McKillop EC, Saidkasimova S. Visual problems as a result of brain damage in children. Br J Ophthalmol. 2006;90(8):932–3. doi: 10.1136/bjo.2006.095349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Whiting S, Jan JE, Wong PK, Flodmark O, Farrell K, McCormick AQ. Permanent cortical visual impairment in children. Developmental medicine and child neurology. 1985;27(6):730–9. doi: 10.1111/j.1469-8749.1985.tb03796.x. Epub 1985/12/01. [DOI] [PubMed] [Google Scholar]
- 5.Colenbrander A. What’s in a name? Appropriate terminology for CVI. Journal of Visual Impairment and Blindness. 2010;104:583–5. [Google Scholar]
- 6.Good WV, Jan JE, DeSa L, Barkovich AJ, Groenveld M, Hoyt CS. Cortical visual impairment in children. Survey of ophthalmology. 1994;38(4):351–64. doi: 10.1016/0039-6257(94)90073-6. Epub 1994/01/01. [DOI] [PubMed] [Google Scholar]
- 7.Dutton GN. Cognitive vision, its disorders and differential diagnosis in adults and children: knowing where and what things are. Eye (Lond) 2003;17(3):289–304. doi: 10.1038/sj.eye.6700344. [DOI] [PubMed] [Google Scholar]
- 8.Good WV. Cortical visual impairment: new directions. Optom Vis Sci. 2009;86(6):663–5. doi: 10.1097/OPX.0b013e3181a6176a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Hoyt CS. Visual function in the brain-damaged child. Eye (Lond) 2003;17(3):369–84. doi: 10.1038/sj.eye.6700364. [DOI] [PubMed] [Google Scholar]
- 10.Huo R, Burden SK, Hoyt CS, Good WV. Chronic cortical visual impairment in children: aetiology, prognosis, and associated neurological deficits. The British journal of ophthalmology. 1999;83(6):670–5. doi: 10.1136/bjo.83.6.670. Epub 1999/05/26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Khetpal V, Donahue SP. Cortical visual impairment: etiology, associated findings, and prognosis in a tertiary care setting. J AAPOS. 2007;11(3):235–9. doi: 10.1016/j.jaapos.2007.01.122. [DOI] [PubMed] [Google Scholar]
- 12.Fielder AR, Russell-Eggitt IR, Dodd KL, Mellor DH. Delayed visual maturation. Trans Ophthalmol Soc U K. 1985;104(Pt 6):653–61. [PubMed] [Google Scholar]
- 13.Russell-Eggitt I, Harris CM, Kriss A. Delayed visual maturation: an update. Dev Med Child Neurol. 1998;40(2):130–6. doi: 10.1111/j.1469-8749.1998.tb15375.x. [DOI] [PubMed] [Google Scholar]
- 14.Fazzi E, Signorini SG, Bova SM, La Piana R, Ondei P, Bertone C, et al. Spectrum of visual disorders in children with cerebral visual impairment. J Child Neurol. 2007;22(3):294–301. doi: 10.1177/08830738070220030801. [DOI] [PubMed] [Google Scholar]
- 15.Good WV. Development of a quantitative method to measure vision in children with chronic cortical visual impairment. Transactions of the American Ophthalmological Society. 2001;99:253–69. Epub 2002/01/19. [PMC free article] [PubMed] [Google Scholar]
- 16.Hoyt CS. Brain injury and the eye. Eye (Lond) 2007;21(10):1285–9. doi: 10.1038/sj.eye.6702849. [DOI] [PubMed] [Google Scholar]
- 17.McKillop E, Dutton GN. Impairment of vision in children due to damage to the brain: a practical approach. Br Ir Orthopt J. 2008;(5):8–14. [Google Scholar]
- 18.Philip SS, Dutton GN. Identifying and characterising cerebral visual impairment in children: a review. Clinical & experimental optometry. 2014;97(3):196–208. doi: 10.1111/cxo.12155. Epub 2014/04/29. [DOI] [PubMed] [Google Scholar]
- 19.Chong C, Dai S. Cross-sectional study on childhood cerebral visual impairment in New Zealand. J AAPOS. 2014;18(1):71–4. doi: 10.1016/j.jaapos.2013.09.014. [DOI] [PubMed] [Google Scholar]
- 20.Fazzi E, Signorini SG, RLAP, Bertone C, Misefari W, Galli J, et al. Neuro-ophthalmological disorders in cerebral palsy: ophthalmological, oculomotor, and visual aspects. Dev Med Child Neurol. 2012;54(8):730–6. doi: 10.1111/j.1469-8749.2012.04324.x. [DOI] [PubMed] [Google Scholar]
- 21.Boonstra N, Limburg H, Tijmes N, van Genderen M, Schuil J, van Nispen R. Changes in causes of low vision between 1988 and 2009 in a Dutch population of children. Acta Ophthalmol. 2012;90(3):277–86. doi: 10.1111/j.1755-3768.2011.02205.x. [DOI] [PubMed] [Google Scholar]
- 22.Boot FH, Pel JJ, van der Steen J, Evenhuis HM. Cerebral Visual Impairment: which perceptive visual dysfunctions can be expected in children with brain damage? A systematic review. Res Dev Disabil. 2010;31(6):1149–59. doi: 10.1016/j.ridd.2010.08.001. [DOI] [PubMed] [Google Scholar]
- 23.Fazzi E, Bova SM, Uggetti C, Signorini SG, Bianchi PE, Maraucci I, et al. Visual-perceptual impairment in children with periventricular leukomalacia. Brain & development. 2004;26(8):506–12. doi: 10.1016/j.braindev.2004.02.002. Epub 2004/11/10. [DOI] [PubMed] [Google Scholar]
- 24.Guzzetta A, Fiori S, Scelfo D, Conti E, Bancale A. Reorganization of visual fields after periventricular haemorrhagic infarction: potentials and limitations. Developmental medicine and child neurology. 2013;55(Suppl 4):23–6. doi: 10.1111/dmcn.12302. Epub 2013/11/28. [DOI] [PubMed] [Google Scholar]
- 25.Guzzetta A, D’Acunto G, Rose S, Tinelli F, Boyd R, Cioni G. Plasticity of the visual system after early brain damage. Developmental medicine and child neurology. 2010;52(10):891–900. doi: 10.1111/j.1469-8749.2010.03710.x. Epub 2010/06/22. [DOI] [PubMed] [Google Scholar]
- 26.Afshari MA, Afshari NA, Fulton AB. Cortical visual impairment in infants and children. Int Ophthalmol Clin. 2001;41(1):159–69. doi: 10.1097/00004397-200101000-00015. [DOI] [PubMed] [Google Scholar]
- 27.Good WV, Jan JE, Burden SK, Skoczenski A, Candy R. Recent advances in cortical visual impairment. Developmental medicine and child neurology. 2001;43(1):56–60. doi: 10.1017/s0012162201000093. Epub 2001/02/24. [DOI] [PubMed] [Google Scholar]
- 28.Rahi JS, Cable N British Childhood Visual Impairment Study G. Severe visual impairment and blindness in children in the UK. Lancet. 2003;362(9393):1359–65. doi: 10.1016/S0140-6736(03)14631-4. [DOI] [PubMed] [Google Scholar]
- 29.Flanagan NM, Jackson AJ, Hill AE. Visual impairment in childhood: insights from a community-based survey. Child Care Health Dev. 2003;29(6):493–9. doi: 10.1046/j.1365-2214.2003.00369.x. [DOI] [PubMed] [Google Scholar]
- 30.Kong L, Fry M, Al-Samarraie M, Gilbert C, Steinkuller PG. An update on progress and the changing epidemiology of causes of childhood blindness worldwide. J AAPOS. 2012;16(6):501–7. doi: 10.1016/j.jaapos.2012.09.004. [DOI] [PubMed] [Google Scholar]
- 31.Roman-Lantzy C. Cortical visual impairment: an approach to assessment and intervention. New York, NY: AFB Press; 2007. p. 232. [Google Scholar]
- 32.Kozeis N. Brain visual impairment in childhood: mini review. Hippokratia. 2010;14(4):249–51. Epub 2011/02/12. [PMC free article] [PubMed] [Google Scholar]
- 33.Volpe JJ. Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances. Lancet Neurol. 2009;8(1):110–24. doi: 10.1016/S1474-4422(08)70294-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Vohr BR, Wright LL, Dusick AM, Mele L, Verter J, Steichen JJ, et al. Neurodevelopmental and functional outcomes of extremely low birth weight infants in the National Institute of Child Health and Human Development Neonatal Research Network, 1993–1994. Pediatrics. 2000;105(6):1216–26. doi: 10.1542/peds.105.6.1216. [DOI] [PubMed] [Google Scholar]
- 35.Van den Broeck C, Himpens E, Vanhaesebrouck P, Calders P, Oostra A. Influence of gestational age on the type of brain injury and neuromotor outcome in high-risk neonates. Eur J Pediatr. 2008;167(9):1005–9. doi: 10.1007/s00431-007-0629-2. [DOI] [PubMed] [Google Scholar]
- 36.Volpe JJ. Brain injury in the premature infant: overview of clinical aspects, neuropathology, and pathogenesis. Semin Pediatr Neurol. 1998;5(3):135–51. doi: 10.1016/s1071-9091(98)80030-2. [DOI] [PubMed] [Google Scholar]
- 37.Flodmark O, Jan JE, Wong PK. Computed tomography of the brains of children with cortical visual impairment. Developmental medicine and child neurology. 1990;32(7):611–20. Epub 1990/07/01. [PubMed] [Google Scholar]
- 38.Swarte R, Lequin M, Cherian P, Zecic A, van Goudoever J, Govaert P. Imaging patterns of brain injury in term-birth asphyxia. Acta Paediatr. 2009;98(3):586–92. doi: 10.1111/j.1651-2227.2008.01156.x. [DOI] [PubMed] [Google Scholar]
- 39.Jan JE, Groenveld M, Anderson DP. Photophobia and cortical visual impairment. Dev Med Child Neurol. 1993;35(6):473–7. doi: 10.1111/j.1469-8749.1993.tb11677.x. [DOI] [PubMed] [Google Scholar]
- 40.Jan JE, Groenveld M, Sykanda AM, Hoyt CS. Behavioural characteristics of children with permanent cortical visual impairment. Dev Med Child Neurol. 1987;29(5):571–6. doi: 10.1111/j.1469-8749.1987.tb08498.x. [DOI] [PubMed] [Google Scholar]
- 41.Mishkin M, Ungerleider LG. Contribution of striate inputs to the visuospatial functions of parieto-preoccipital cortex in monkeys. Behavioural brain research. 1982;6(1):57–77. doi: 10.1016/0166-4328(82)90081-x. Epub 1982/09/01. [DOI] [PubMed] [Google Scholar]
- 42.Braddick O, Atkinson J, Wattam-Bell J. Normal and anomalous development of visual motion processing: motion coherence and ‘dorsal-stream vulnerability’. Neuropsychologia. 2003;41(13):1769–84. doi: 10.1016/s0028-3932(03)00178-7. Epub 2003/10/07. [DOI] [PubMed] [Google Scholar]
- 43.Dutton GN. ‘Dorsal stream dysfunction’ and ‘dorsal stream dysfunction plus’: a potential classification for perceptual visual impairment in the context of cerebral visual impairment? Developmental medicine and child neurology. 2009;51(3):170–2. doi: 10.1111/j.1469-8749.2008.03257.x. Epub 2009/03/06. [DOI] [PubMed] [Google Scholar]
- 44.Taylor NM, Jakobson LS, Maurer D, Lewis TL. Differential vulnerability of global motion, global form, and biological motion processing in full-term and preterm children. Neuropsychologia. 2009;47(13):2766–78. doi: 10.1016/j.neuropsychologia.2009.06.001. [DOI] [PubMed] [Google Scholar]
- 45.Goodale MA, Milner AD. Separate visual pathways for perception and action. Trends Neurosci. 1992;15(1):20–5. doi: 10.1016/0166-2236(92)90344-8. [DOI] [PubMed] [Google Scholar]
- 46.Fazzi E, Bova S, Giovenzana A, Signorini S, Uggetti C, Bianchi P. Cognitive visual dysfunctions in preterm children with periventricular leukomalacia. Dev Med Child Neurol. 2009;51(12):974–81. doi: 10.1111/j.1469-8749.2009.03272.x. [DOI] [PubMed] [Google Scholar]
- 47.Porro G, Dekker EM, Van Nieuwenhuizen O, Wittebol-Post D, Schilder MB, Schenk-Rootlieb AJ, et al. Visual behaviours of neurologically impaired children with cerebral visual impairment: an ethological study. Br J Ophthalmol. 1998;82(11):1231–5. doi: 10.1136/bjo.82.11.1231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Levin N, Dumoulin SO, Winawer J, Dougherty RF, Wandell BA. Cortical maps and white matter tracts following long period of visual deprivation and retinal image restoration. Neuron. 2010;65(1):21–31. doi: 10.1016/j.neuron.2009.12.006. Epub 2010/02/16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Dutton GN, Calvert J, Ibrahim H, Macdonald E, McCulloch DL, Macintyre-Beon C, et al. Structured clinical history taking for cognitive and perceptual visual dysfunction and for profound visual disabilities due to damage to the brain in children. In: Dutton GN, Bax M, editors. Visual impairment in children due to damage to the brain. London, GB: Mac Keith Press; 2010. [Google Scholar]
- 50.Ortibus E, Laenen A, Verhoeven J, De Cock P, Casteels I, Schoolmeesters B, et al. Screening for cerebral visual impairment: value of a CVI questionnaire. Neuropediatrics. 2011;42(4):138–47. doi: 10.1055/s-0031-1285908. [DOI] [PubMed] [Google Scholar]
- 51.Koenig AJ, Holbrook MC. Learning media assessment of students with vision impairment: a resource for teachers. 2. Austin, Texas: Texas School for the Blind and Visually Impaired; 1995. [Google Scholar]
- 52.Brodsky MC, Hoyt WF. Spontaneous involution of retinal and intracranial arteriovenous malformation in Bonnet-Dechaume-Blanc syndrome. Br J Ophthalmol. 2002;86(3):360–1. doi: 10.1136/bjo.86.3.360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Edmond JC, Foroozan R. Cortical visual impairment in children. Current opinion in ophthalmology. 2006;17(6):509–12. doi: 10.1097/ICU.0b013e3280107bc5. Epub 2006/10/27. [DOI] [PubMed] [Google Scholar]
- 54.Mathur AM, Neil JJ, Inder TE. Understanding brain injury and neurodevelopmental disabilities in the preterm infant: the evolving role of advanced magnetic resonance imaging. Semin Perinatol. 2010;34(1):57–66. doi: 10.1053/j.semperi.2009.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Murakami A, Morimoto M, Yamada K, Kizu O, Nishimura A, Nishimura T, et al. Fiber-tracking techniques can predict the degree of neurologic impairment for periventricular leukomalacia. Pediatrics. 2008;122(3):500–6. doi: 10.1542/peds.2007-2816. Epub 2008/09/03. [DOI] [PubMed] [Google Scholar]
- 56.Eken P, van Nieuwenhuizen O, van der Graaf Y, Schalij-Delfos NE, de Vries LS. Relation between neonatal cranial ultrasound abnormalities and cerebral visual impairment in infancy. Dev Med Child Neurol. 1994;36(1):3–15. doi: 10.1111/j.1469-8749.1994.tb11760.x. [DOI] [PubMed] [Google Scholar]
- 57.Flodmark O, Jan JE, Wong PK. Computed tomography of the brains of children with cortical visual impairment. Dev Med Child Neurol. 1990;32(7):611–20. [PubMed] [Google Scholar]
- 58.Guzzetta A, Cioni G, Cowan F, Mercuri E. Visual disorders in children with brain lesions: 1. Maturation of visual function in infants with neonatal brain lesions: correlation with neuroimaging. Eur J Paediatr Neurol. 2001;5(3):107–14. doi: 10.1053/ejpn.2001.0480. [DOI] [PubMed] [Google Scholar]
- 59.Uggetti C, Egitto MG, Fazzi E, Bianchi PE, Bergamaschi R, Zappoli F, et al. Cerebral visual impairment in periventricular leukomalacia: MR correlation. AJNR Am J Neuroradiol. 1996;17(5):979–85. [PMC free article] [PubMed] [Google Scholar]
- 60.Wiklund LM, Uvebrant P. Hemiplegic cerebral palsy: correlation between CT morphology and clinical findings. Dev Med Child Neurol. 1991;33(6):512–23. doi: 10.1111/j.1469-8749.1991.tb14916.x. [DOI] [PubMed] [Google Scholar]
- 61.Schenk-Rootlieb AJ, van Nieuwenhuizen O, van Waes PF, van der Graaf Y. Cerebral visual impairment in cerebral palsy: relation to structural abnormalities of the cerebrum. Neuropediatrics. 1994;25(2):68–72. doi: 10.1055/s-2008-1071588. [DOI] [PubMed] [Google Scholar]
- 62.Haataja L, Mercuri E, Guzzetta A, Rutherford M, Counsell S, Flavia Frisone M, et al. Neurologic examination in infants with hypoxic-ischemic encephalopathy at age 9 to 14 months: use of optimality scores and correlation with magnetic resonance imaging findings. J Pediatr. 2001;138(3):332–7. doi: 10.1067/mpd.2001.111325. [DOI] [PubMed] [Google Scholar]
- 63.Serdaroglu G, Tekgul H, Kitis O, Serdaroglu E, Gokben S. Correlative value of magnetic resonance imaging for neurodevelopmental outcome in periventricular leukomalacia. Dev Med Child Neurol. 2004;46(11):733–9. doi: 10.1017/s0012162204001264. [DOI] [PubMed] [Google Scholar]
- 64.Cioni G, Bertuccelli B, Boldrini A, Canapicchi R, Fazzi B, Guzzetta A, et al. Correlation between visual function, neurodevelopmental outcome, and magnetic resonance imaging findings in infants with periventricular leucomalacia. Arch Dis Child Fetal Neonatal Ed. 2000;82(2):F134–40. doi: 10.1136/fn.82.2.F134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Ffytche DH, Blom JD, Catani M. Disorders of visual perception. Journal of neurology, neurosurgery, and psychiatry. 2010;81(11):1280–7. doi: 10.1136/jnnp.2008.171348. Epub 2010/10/26. [DOI] [PubMed] [Google Scholar]
- 66.Jones DK. Studying connections in the living human brain with diffusion MRI. Cortex; a journal devoted to the study of the nervous system and behavior. 2008;44(8):936–52. doi: 10.1016/j.cortex.2008.05.002. Epub 2008/07/19. [DOI] [PubMed] [Google Scholar]
- 67.Catani M, Thiebaut de Schotten M. A diffusion tensor imaging tractography atlas for virtual in vivo dissections. Cortex; a journal devoted to the study of the nervous system and behavior. 2008;44(8):1105–32. doi: 10.1016/j.cortex.2008.05.004. Epub 2008/07/16. [DOI] [PubMed] [Google Scholar]
- 68.Lennartsson F, Nilsson M, Flodmark O, Jacobson L. Damage to the immature optic radiation causes severe reduction of the retinal nerve fiber layer, resulting in predictable visual field defects. Investigative ophthalmology & visual science. 2014;55(12):8278–88. doi: 10.1167/iovs.14-14913. Epub 2014/11/08. [DOI] [PubMed] [Google Scholar]
- 69.Tournier JD, Mori S, Leemans A. Diffusion tensor imaging and beyond. Magnetic resonance in medicine. 2011;65(6):1532–56. doi: 10.1002/mrm.22924. Epub 2011/04/07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Tuch DS. Q-ball imaging. Magnetic resonance in medicine. 2004;52(6):1358–72. doi: 10.1002/mrm.20279. Epub 2004/11/25. [DOI] [PubMed] [Google Scholar]
- 71.Rokem A, Takemura H, Bock AS, Scherf KS, Behrmann M, Wandell BA, et al. The visual white matter: The application of diffusion MRI and fiber tractography to vision science. J Vis. 2017;17(2):4. doi: 10.1167/17.2.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Ortibus E, Verhoeven J, Sunaert S, Casteels I, De Cock P. Integrity of the inferior longitundinal fasciculus and impaired object recognition in children: a diffusion tensor imaging study. Developmental medicine and child neurology. 2011;54:38–43. doi: 10.1111/j.1469-8749.2011.04147.x. [DOI] [PubMed] [Google Scholar]
- 73.Bauer CM, Heidary G, Koo BB, Killiany R, Merabet LB. Extrageniculo-striate visual pathway changes in cortical visual impairment characterized by HARDI. Organization for Human Brain Mapping (OHBM Abstracts) 2014 Jun; [Google Scholar]
- 74.Bauer CM, Heidary G, Koo BB, Killiany RJ, Bex P, Merabet LB. Abnormal white matter tractography of visual pathways detected by high-angular-resolution diffusion imaging (HARDI) corresponds to visual dysfunction in cortical/cerebral visual impairment. Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus/American Association for Pediatric Ophthalmology and Strabismus. 2014;18(4):398–401. doi: 10.1016/j.jaapos.2014.03.004. Epub 2014/08/05. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Nasr S, Liu N, Devaney KJ, Yue X, Rajimehr R, Ungerleider LG, et al. Scene-selective cortical regions in human and nonhuman primates. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2011;31(39):13771–85. doi: 10.1523/JNEUROSCI.2792-11.2011. Epub 2011/10/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Merabet LB, Devaney KJ, Bauer CM, Panja A, Heidary G, Somers DC. Characterizing Visual Field Deficits in Cerebral/Cortical Visual Impairment (CVI) Using Combined Diffusion Based Imaging and Functional Retinotopic Mapping: A Case Study. Front Syst Neurosci. 2016;10:13. doi: 10.3389/fnsys.2016.00013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Wandell BA. Computational neuroimaging of human visual cortex. Annual review of neuroscience. 1999;22:145–73. doi: 10.1146/annurev.neuro.22.1.145. Epub 1999/04/15. [DOI] [PubMed] [Google Scholar]
- 78.Hirsch GV, Bauer CM, Merabet LB. Using structural and functional brain imaging to uncover how the brain adapts to blindness. Annals of Neuroscience and Psychology. Annals of Neuroscience and Psychology. 2015;2(5) [PMC free article] [PubMed] [Google Scholar]