Anatomical connectivity patterns predict face selectivity in the fusiform gyrus
A fundamental assumption in neuroscience is that brain structure determines function. Accordingly, functionally distinct regions of cortex should be structurally distinct in their connections to other areas. We tested this hypothesis in relation to face selectivity in the fusiform gyrus. By using on...
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| Format: | Article |
| Language: | en_US |
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Nature Publishing Group
2014
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| Online Access: | http://hdl.handle.net/1721.1/88514 https://orcid.org/0000-0003-2377-1791 https://orcid.org/0000-0003-1158-5692 https://orcid.org/0000-0002-2191-0340 |
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| author | Koldewyn, Kami Reynolds, Gretchen Saygin, Zeynep M. Osher, David E. Gabrieli, John D. E. Saxe, Rebecca R. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Koldewyn, Kami Reynolds, Gretchen Saygin, Zeynep M. Osher, David E. Gabrieli, John D. E. Saxe, Rebecca R. |
| author_sort | Koldewyn, Kami |
| collection | MIT |
| description | A fundamental assumption in neuroscience is that brain structure determines function. Accordingly, functionally distinct regions of cortex should be structurally distinct in their connections to other areas. We tested this hypothesis in relation to face selectivity in the fusiform gyrus. By using only structural connectivity, as measured through diffusion-weighted imaging, we were able to predict functional activation to faces in the fusiform gyrus. These predictions outperformed two control models and a standard group-average benchmark. The structure–function relationship discovered from the initial participants was highly robust in predicting activation in a second group of participants, despite differences in acquisition parameters and stimuli. This approach can thus reliably estimate activation in participants who cannot perform functional imaging tasks and is an alternative to group-activation maps. Additionally, we identified cortical regions whose connectivity was highly influential in predicting face selectivity within the fusiform, suggesting a possible mechanistic architecture underlying face processing in humans. |
| first_indexed | 2024-09-23T12:50:19Z |
| format | Article |
| id | mit-1721.1/88514 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:50:19Z |
| publishDate | 2014 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/885142022-10-01T11:25:22Z Anatomical connectivity patterns predict face selectivity in the fusiform gyrus Koldewyn, Kami Reynolds, Gretchen Saygin, Zeynep M. Osher, David E. Gabrieli, John D. E. Saxe, Rebecca R. Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Saygin, Zeynep M. Osher, David E. Koldewyn, Kami Reynolds, Gretchen Gabrieli, John D. E. Saxe, Rebecca R. A fundamental assumption in neuroscience is that brain structure determines function. Accordingly, functionally distinct regions of cortex should be structurally distinct in their connections to other areas. We tested this hypothesis in relation to face selectivity in the fusiform gyrus. By using only structural connectivity, as measured through diffusion-weighted imaging, we were able to predict functional activation to faces in the fusiform gyrus. These predictions outperformed two control models and a standard group-average benchmark. The structure–function relationship discovered from the initial participants was highly robust in predicting activation in a second group of participants, despite differences in acquisition parameters and stimuli. This approach can thus reliably estimate activation in participants who cannot perform functional imaging tasks and is an alternative to group-activation maps. Additionally, we identified cortical regions whose connectivity was highly influential in predicting face selectivity within the fusiform, suggesting a possible mechanistic architecture underlying face processing in humans. United States. Public Health Service (DA023427) National Institute of Mental Health (U.S.) (F32 MH084488) National Eye Institute (T32 EY013935) Poitras Foundation Simons Foundation Ellison Medical Foundation 2014-07-28T20:49:24Z 2014-07-28T20:49:24Z 2011-12 2011-09 Article http://purl.org/eprint/type/JournalArticle 1097-6256 1546-1726 http://hdl.handle.net/1721.1/88514 Saygin, Zeynep M, David E Osher, Kami Koldewyn, Gretchen Reynolds, John D E Gabrieli, and Rebecca R Saxe. “Anatomical Connectivity Patterns Predict Face Selectivity in the Fusiform Gyrus.” Nat Neurosci 15, no. 2 (December 25, 2011): 321–327. https://orcid.org/0000-0003-2377-1791 https://orcid.org/0000-0003-1158-5692 https://orcid.org/0000-0002-2191-0340 en_US http://dx.doi.org/10.1038/nn.3001 Nature Neuroscience Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Nature Publishing Group PMC |
| spellingShingle | Koldewyn, Kami Reynolds, Gretchen Saygin, Zeynep M. Osher, David E. Gabrieli, John D. E. Saxe, Rebecca R. Anatomical connectivity patterns predict face selectivity in the fusiform gyrus |
| title | Anatomical connectivity patterns predict face selectivity in the fusiform gyrus |
| title_full | Anatomical connectivity patterns predict face selectivity in the fusiform gyrus |
| title_fullStr | Anatomical connectivity patterns predict face selectivity in the fusiform gyrus |
| title_full_unstemmed | Anatomical connectivity patterns predict face selectivity in the fusiform gyrus |
| title_short | Anatomical connectivity patterns predict face selectivity in the fusiform gyrus |
| title_sort | anatomical connectivity patterns predict face selectivity in the fusiform gyrus |
| url | http://hdl.handle.net/1721.1/88514 https://orcid.org/0000-0003-2377-1791 https://orcid.org/0000-0003-1158-5692 https://orcid.org/0000-0002-2191-0340 |
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