Heritability and genetic contribution analysis of structural-functional coupling in human brain
Year: 2024
Type: article
Abstract: The flow of functional connectivity (FC) is thought to be supported by white matter structural connectivity (SC). While research on the correlations between SC and FC (SC-FC coupling) has progressed, the genetic implications of SC-FC coupling have not been thoroughly examined. Traditionally, SC-FC coupling investigations utilize predefined atlases. Here, we adopted an atlas-free SC-FC coupling built on the high-resolution white surface (the interface of white matter and gray matter) to uncover common genetic variations. Leveraging data from the Human Connectome Project, we demonstrated considerable heritability in areas within the early and intermediate visual cortex and across dorsal-attention, language, and somatomotor functional networks. We detected 334 genetic loci (spanning 234 cytogenetic bands) linked to SC-FC coupling (P < 1.26 × 10−11), notably in cingulo-opercular, somatomotor, and default mode networks. Using an external dataset from the Adolescent Brain Cognitive Development study, we confirmed 187 cytogenetic bands associated with SC-FC coupling across 22 brain regions (P < 1 × 10-5). Genetic correlation analyses revealed high genetic interrelatedness for SC-FC coupling in neighboring regions. Furthermore, it showed genetic correlations with a spectrum of complex traits, encompassing various neurological and psychiatric conditions. In essence, our study paves the way towards deciphering the genetic interplay between structural and functional connectivity of the brain.
Source: Imaging Neuroscience
DOI: 10.1162/imag_a_00346
Authors: Wei Dai, Zhengwu Zhang, Peihan Song, Heping Zhang, Yize Zhao
Institutions: Yale University, University of North Carolina at Chapel Hill
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
Awards: G1020259976, Novel integrative imaging genetics analysis for Alzheimer's disease riskand progression, G1569016918, G1742849658, Integrative analysis for patient-centered outcomes and time-to-event data in Alzheimer's disease, G2249068382, Mapping the Human Connectome: Structure, Function, and Heritability, G3563224455, G3631106536, G3755973507, G4066048162, G5081895789, G563006861, G687916792, G6887863799, G6922259526, G6935074504, G7271102572, G771167098, Measure of Heterogeneity for Complex Data Objects, G8281824583, G8299918676, G8679417706, G8762821959, G9000008241, G9000034221, G9000046731, G9000061868, G9000065666, G9000089182, G9000108491, G9000112882, G9000113866, G9000163168, G9000190247, G9000201794, G9000205938, G9000286149, 9/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT U MICHIGAN, 17/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UCLA, 8/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT CHLA, 6/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT OHSU, Novel integrative imaging genetics analysis for Alzheimer's disease riskand progression, 21/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT WUSTL, 2/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UMB, G923039674
OpenAlex ID: W4403465346