Gene Expression Correlates of the Cortical Network Underlying Sentence Processing
<jats:p> A pivotal question in modern neuroscience is which genes regulate brain circuits that underlie cognitive functions. However, the field is still in its infancy. Here we report an integrated investigation of the high-level language network (i.e., sentence-processing network) in the huma...
| Main Authors: | , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
MIT Press - Journals
2021
|
| Online Access: | https://hdl.handle.net/1721.1/135256 |
| _version_ | 1826204956118482944 |
|---|---|
| author | Kong, Xiang-Zhen Tzourio-Mazoyer, Nathalie Joliot, Marc Fedorenko, Evelina Liu, Jia Fisher, Simon E Francks, Clyde |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Kong, Xiang-Zhen Tzourio-Mazoyer, Nathalie Joliot, Marc Fedorenko, Evelina Liu, Jia Fisher, Simon E Francks, Clyde |
| author_sort | Kong, Xiang-Zhen |
| collection | MIT |
| description | <jats:p> A pivotal question in modern neuroscience is which genes regulate brain circuits that underlie cognitive functions. However, the field is still in its infancy. Here we report an integrated investigation of the high-level language network (i.e., sentence-processing network) in the human cerebral cortex, combining regional gene expression profiles, task fMRI, large-scale neuroimaging meta-analysis, and resting-state functional network approaches. We revealed reliable gene expression–functional network correlations using three different network definition strategies, and identified a consensus set of genes related to connectivity within the sentence-processing network. The genes involved showed enrichment for neural development and actin-related functions, as well as association signals with autism, which can involve disrupted language functioning. Our findings help elucidate the molecular basis of the brain’s infrastructure for language. The integrative approach described here will be useful for studying other complex cognitive traits. </jats:p> |
| first_indexed | 2024-09-23T13:04:16Z |
| format | Article |
| id | mit-1721.1/135256 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:04:16Z |
| publishDate | 2021 |
| publisher | MIT Press - Journals |
| record_format | dspace |
| spelling | mit-1721.1/1352562023-12-19T21:09:14Z Gene Expression Correlates of the Cortical Network Underlying Sentence Processing Kong, Xiang-Zhen Tzourio-Mazoyer, Nathalie Joliot, Marc Fedorenko, Evelina Liu, Jia Fisher, Simon E Francks, Clyde Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT <jats:p> A pivotal question in modern neuroscience is which genes regulate brain circuits that underlie cognitive functions. However, the field is still in its infancy. Here we report an integrated investigation of the high-level language network (i.e., sentence-processing network) in the human cerebral cortex, combining regional gene expression profiles, task fMRI, large-scale neuroimaging meta-analysis, and resting-state functional network approaches. We revealed reliable gene expression–functional network correlations using three different network definition strategies, and identified a consensus set of genes related to connectivity within the sentence-processing network. The genes involved showed enrichment for neural development and actin-related functions, as well as association signals with autism, which can involve disrupted language functioning. Our findings help elucidate the molecular basis of the brain’s infrastructure for language. The integrative approach described here will be useful for studying other complex cognitive traits. </jats:p> 2021-10-27T20:22:40Z 2021-10-27T20:22:40Z 2020 2021-03-23T18:22:17Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135256 en 10.1162/NOL_A_00004 Neurobiology of Language Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf MIT Press - Journals MIT Press |
| spellingShingle | Kong, Xiang-Zhen Tzourio-Mazoyer, Nathalie Joliot, Marc Fedorenko, Evelina Liu, Jia Fisher, Simon E Francks, Clyde Gene Expression Correlates of the Cortical Network Underlying Sentence Processing |
| title | Gene Expression Correlates of the Cortical Network Underlying Sentence Processing |
| title_full | Gene Expression Correlates of the Cortical Network Underlying Sentence Processing |
| title_fullStr | Gene Expression Correlates of the Cortical Network Underlying Sentence Processing |
| title_full_unstemmed | Gene Expression Correlates of the Cortical Network Underlying Sentence Processing |
| title_short | Gene Expression Correlates of the Cortical Network Underlying Sentence Processing |
| title_sort | gene expression correlates of the cortical network underlying sentence processing |
| url | https://hdl.handle.net/1721.1/135256 |
| work_keys_str_mv | AT kongxiangzhen geneexpressioncorrelatesofthecorticalnetworkunderlyingsentenceprocessing AT tzouriomazoyernathalie geneexpressioncorrelatesofthecorticalnetworkunderlyingsentenceprocessing AT joliotmarc geneexpressioncorrelatesofthecorticalnetworkunderlyingsentenceprocessing AT fedorenkoevelina geneexpressioncorrelatesofthecorticalnetworkunderlyingsentenceprocessing AT liujia geneexpressioncorrelatesofthecorticalnetworkunderlyingsentenceprocessing AT fishersimone geneexpressioncorrelatesofthecorticalnetworkunderlyingsentenceprocessing AT francksclyde geneexpressioncorrelatesofthecorticalnetworkunderlyingsentenceprocessing |