Structural connectivity fingerprints predict cortical selectivity for multiple visual categories across cortex
Research output: Contribution to journal › Article › peer-review
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In: Cerebral Cortex, Vol. 26, No. 4, 26.01.2015, p. 1668-1683.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Structural connectivity fingerprints predict cortical selectivity for multiple visual categories across cortex
AU - Osher, D.E.
AU - Saxe, R.R.
AU - Koldewyn, K.
AU - Gabrieli, J.D.
AU - Kanwisher, N.
AU - Saygin, Z.M.
PY - 2015/1/26
Y1 - 2015/1/26
N2 - fundamental and largely unanswered question in neuroscience is whether extrinsic connectivity and function are closely related at a fine spatial grain across the human brain. Using a novel approach, we found that the anatomical connectivity of individual gray-matter voxels (determined via diffusion-weighted imaging) alone can predict functional magnetic resonance imaging (fMRI) responses to 4 visual categories (faces, objects, scenes, and bodies) in individual subjects, thus accounting for both functional differentiation across the cortex and individual variation therein. Furthermore, this approach identified the particular anatomical links between voxels that most strongly predict, and therefore plausibly define, the neural networks underlying specific functions. These results provide the strongest evidence to date for a precise and fine-grained relationship between connectivity and function in the human brain, raise the possibility that early-developing connectivity patterns may determine later functional organization, and offer a method for predicting fine-grained functional organization in populations who cannot be functionally scanned
AB - fundamental and largely unanswered question in neuroscience is whether extrinsic connectivity and function are closely related at a fine spatial grain across the human brain. Using a novel approach, we found that the anatomical connectivity of individual gray-matter voxels (determined via diffusion-weighted imaging) alone can predict functional magnetic resonance imaging (fMRI) responses to 4 visual categories (faces, objects, scenes, and bodies) in individual subjects, thus accounting for both functional differentiation across the cortex and individual variation therein. Furthermore, this approach identified the particular anatomical links between voxels that most strongly predict, and therefore plausibly define, the neural networks underlying specific functions. These results provide the strongest evidence to date for a precise and fine-grained relationship between connectivity and function in the human brain, raise the possibility that early-developing connectivity patterns may determine later functional organization, and offer a method for predicting fine-grained functional organization in populations who cannot be functionally scanned
UR - https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/cercor/26/4/10.1093_cercor_bhu303/1/bhu303_Supplementary_Data.zip?Expires=1618479543&Signature=ToCv1-a-iuZL9k0cgPMFkSrFGa-FeJD0ZictAej04uF69IrfYLiUSXfQkPtIPU5-zqBQFpteeiQtN5ij0Nbl01Br7QdHyuC120d3M4iBm2~im0-oIvXe97NAg6FQfy3OXOgfSdn1yon934tq89q8Cdzs9ZC76cjr1zyzG9bXQjJ2ydEm~olAbkb1Xq0B7IJLweWEDJiCv5k6u8KOzDrR4Tv5AzkfWHgwY~oNpzK0Dq0VsOHJARbcFsTCnPgAXQb3olrQe~bYtNC02gmqwjZ7TUh8Fr5pge3T8OukNLF4qbsaupBQUMewxvRw3nT1wcmxbv5kpROQiP5vCNK71o0VLA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
U2 - 10.1093/cercor/bhu303
DO - 10.1093/cercor/bhu303
M3 - Article
VL - 26
SP - 1668
EP - 1683
JO - Cerebral Cortex
JF - Cerebral Cortex
SN - 1047-3211
IS - 4
ER -