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Probabilistic Maps of Visual Topography in Human Cortex
Wang, Liang1,2,3; Mruczek, Ryan E. B.1,2,4; Arcaro, Michael J.1,2; Kastner, Sabine1,2
2015-10-01
Source PublicationCEREBRAL CORTEX
ISSN1047-3211
SubtypeArticle
Volume25Issue:10Pages:3911-3931
AbstractThe human visual system contains an array of topographically organized regions. Identifying these regions in individual subjects is a powerful approach to group-level statistical analysis, but this is not always feasible. We addressed this limitation by generating probabilistic maps of visual topographic areas in 2 standardized spaces suitable for use with adult human brains. Using standard fMRI paradigms, we identified 25 topographic maps in a large population of individual subjects (N = 53) and transformed them into either a surface- or volume-based standardized space. Here, we provide a quantitative characterization of the inter-subject variability within and across visual regions, including the likelihood that a given point would be classified as a part of any region (full probability map) and the most probable region for any given point (maximum probability map). By evaluating the topographic organization across the whole of visual cortex, we provide new information about the organization of individual visual field maps and large-scale biases in visual field coverage. Finally, we validate each atlas for use with independent subjects. Overall, the probabilistic atlases quantify the variability of topographic representations in human cortex and provide a useful reference for comparing data across studies that can be transformed into these standard spaces.
KeywordAtlas Cortical Organization Functional Magnetic Resonance Imaging Mapping Topography
DOI10.1093/cercor/bhu277
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000366454000051
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordVENTRAL OCCIPITAL CORTEX ; HUMAN CEREBRAL-CORTEX ; POSTERIOR PARIETAL CORTEX ; SURFACE-BASED ANALYSIS ; RETINOTOPIC ORGANIZATION ; CORTICAL SURFACE ; FUNCTIONAL CONNECTIVITY ; COORDINATE SYSTEM ; FIELD MAPS ; SPATIAL ATTENTION
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Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/15423
Collection中国科学院心理健康重点实验室
Affiliation1.Princeton Univ, Princeton Neurosci Inst, Princeton, NJ 08544 USA
2.Princeton Univ, Dept Psychol, Princeton, NJ 08544 USA
3.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China
4.Swarthmore Coll, Dept Psychol, Swarthmore, PA 19081 USA
First Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
GB/T 7714
Wang, Liang,Mruczek, Ryan E. B.,Arcaro, Michael J.,et al. Probabilistic Maps of Visual Topography in Human Cortex[J]. CEREBRAL CORTEX,2015,25(10):3911-3931.
APA Wang, Liang,Mruczek, Ryan E. B.,Arcaro, Michael J.,&Kastner, Sabine.(2015).Probabilistic Maps of Visual Topography in Human Cortex.CEREBRAL CORTEX,25(10),3911-3931.
MLA Wang, Liang,et al."Probabilistic Maps of Visual Topography in Human Cortex".CEREBRAL CORTEX 25.10(2015):3911-3931.
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