An unbiased iterative group registration template for cortical surface analysis

Lyttelton, Oliver; Boucher, Matthieu; Robbins, Steven; Evans, Alan C.

doi:10.1016/j.neuroimage.2006.10.041

Cited by 382 publications

(320 citation statements)

References 21 publications

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“…To address this problem, investigators have implemented neuroimaging approaches that rely upon improved registration techniques (volumetric or surface-based), presuming that alignment of anatomical features will improve the alignment of functional areas. The most advanced registration methods available attempt to compensate for individual variation in brain surface shape, size, and folding pattern (Lyttelton et al, 2007;Van Essen, 2005;Van Essen and Dierker, 2007). However, this approach does not provide an ideal solution because the location and extent of each functional area varies substantially from person to person, irrespective of anatomical landmarks (Amunts et al, 2000;Amunts et al, 1999;Andrews et al, 1997;Uylings et al, 2005;Van Essen et al, 1984).…”

Section: Overcoming Individual Variationmentioning

confidence: 99%

Defining functional areas in individual human brains using resting functional connectivity MRI

et al. 2008

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The cerebral cortex is anatomically organized at many physical scales starting at the level of single neurons and extending up to functional systems. Current functional magnetic resonance imaging (fMRI) studies often focus at the level of areas, networks, and systems. Except in restricted domains, (e.g. topographically-organized sensory regions), it is difficult to determine area boundaries in the human brain using fMRI. The ability to delineate functional areas non-invasively would enhance the quality of many experimental analyses allowing more accurate across-subject comparisons of independently identified functional areas. Correlations in spontaneous BOLD activity, often referred to as resting state functional connectivity (rs-fcMRI), are especially promising as a way to accurately localize differences in patterns of correlated activity across large expanses of cortex. In the current report, we applied a novel set of image analysis tools to explore the utility of rs-fcMRI for defining wide-ranging functional area boundaries. We find that rs-fcMRI patterns show sharp transitions in correlation patterns and that these putative areal boundaries can be reliably detected in individual subjects as well as in group data. Additionally, combining surface-based analysis techniques with image processing algorithms allows automated mapping of putative areal boundaries across large expanses of cortex without the need for prior information about a region's function or topography. Our approach reliably produces maps of bounded regions appropriate in size and number for putative functional areas. These findings will hopefully stimulate further methodological refinements and validations.CORRESPONDING AUTHORS: Alexander

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Section: Overcoming Individual Variationmentioning

confidence: 99%

Defining functional areas in individual human brains using resting functional connectivity MRI

et al. 2008

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“…21 Then we employed an iterative surface registration algorithm with an unbiased iterative group template showing enhanced anatomic detail to ensure between-individual correspondence at each vertex of the cortical surface model. 22 For regional analysis, automatic lobar parcellation, which had been validated and performed efficiently in previous studies, was applied for dividing individual cortical surfaces into frontal, temporal, parietal, and occipital lobes. 23,24 The surface-based parcellation was performed using CIVET pipeline (http://www.bic.mni.mcgill.ca/ServicesSoftware/CIV-ET).…”

Section: Brain Mrimentioning

confidence: 99%

Effect of Illiteracy on Cognition and Cerebral Morphology in Later Life

Kwon

Yoon

2015

Dement Neurocognitive Disord

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Background and Purpose A better developmental environment has positive effects on brain development. The acquisition of literacy during childhood may affect brain functional organization. The present study aimed to evaluate the effects of illiteracy on neuropsychological test results and cerebral morphology in later life. Methods We recruited 7 illiterate elderly farmers who had never attended school and had no reading or writing knowledge. These subjects were compared with 9 literate subjects in terms of neuropsychological performance and brain volume. All subjects were over 65-years-old and had the same regional and occupational background. Results Neuropsychological tests indicated that the performance of the illiterate subjects was worse than that of literate subjects in all cognitive domains except forward digit span, tool-use and tool-free gestures, verbal word recognition, and verbal generation of animals and grocery items. The illiterate group also showed significantly decreased cortical volume and surface area in both parietal lobes. However, the illiterate group showed increased cortical thickness in the left cuneus. Conclusions Literacy acquired in childhood may increase the volume of the parietal lobe and improve neuropsychological performance through the process of brain plasticity. The effects can be lifelong.

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“…This procedure resulted in 40,962 vertices for each hemisphere. The cortical surfaces were non-linearly aligned to a standardized surface template (Lyttelton, Boucher, Robbins, & Evans, 2007). Cortical thickness data were smoothed following surface curvature using a blurring kernel of 20 mm.…”

Section: Cortical Thickness Measurementsmentioning

confidence: 99%

Effects of age and symptomatology on cortical thickness in autism spectrum disorders

Doyle‐Thomas¹,

Duerden²,

Taylor³

et al. 2013

Research in Autism Spectrum Disorders

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Several brain regions show structural and functional abnormalities in individuals with autism spectrum disorders (ASD), but the developmental trajectory of abnormalities in these structures and how they may relate to social and communicative impairments are still unclear. We assessed the effects of age on cortical thickness in individuals with ASD, between the ages of 7 and 39 years in comparison to typically developing controls. Additionally, we examined differences in cortical thickness in relation to symptomatology in the ASD group, and their association with age. Analyses were conducted using a general linear model, controlling for sex. Social and communication scores from the Autism Diagnostic Interview-Revised (ADI-R) were correlated with the thickness of regions implicated in those functions. Controls showed widespread cortical thinning relative to the ASD group. Within regions-of-interest, increased thickness in the rostral anterior cingulate cortex was associated with poorer social scores. Additionally, a significant interaction between age and social impairment was found in the orbitofrontal cortex, with more impaired younger children having decreased thickness in this region. These results suggest that differential neurodevelopmental trajectories are present in individuals with ASD and some differences are associated with diagnostic behaviours.

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An unbiased iterative group registration template for cortical surface analysis

Cited by 382 publications

References 21 publications

Defining functional areas in individual human brains using resting functional connectivity MRI

Defining functional areas in individual human brains using resting functional connectivity MRI

Effect of Illiteracy on Cognition and Cerebral Morphology in Later Life

Effects of age and symptomatology on cortical thickness in autism spectrum disorders

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