Gene Expression Correlates of the Cortical Network Underlying Sentence Processing
Name
nol_a_00004.pdf
Description
Published version
Size
1018.01 KB
Format
Adobe PDF
Checksum (MD5)
c46a9f952a8630a30e599ee57ebb6885
Author(s)
Kong, Xiang-Zhen
Tzourio-Mazoyer, Nathalie
Joliot, Marc
Fedorenko, Evelina
Liu, Jia
Fisher, Simon E
Francks, Clyde
Date Issued
2020
Journal
Neurobiology of Language
Publisher
MIT Press - Journals
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1162/NOL_A_00004
