Open AccessHeritability of individualized cortical network topography
Author(s) -
Kevin Anderson,
Tian Ge,
Ru Kong,
Lauren Patrick,
R. Nathan Spreng,
Mert R. Sabuncu,
B.T. Thomas Yeo,
Avram J. Holmes
Publication year - 2021
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2016271118
Subject(s) - heritability , biology , spatial organization , population , evolutionary biology , human brain , brain size , missing heritability problem , neuroscience , genetics , demography , genetic variants , gene , medicine , genotype , radiology , sociology , magnetic resonance imaging
Significance The widespread use of population-average cortical parcellations has provided important insights into broad properties of human brain organization. However, the size, location, and spatial arrangement of regions comprising functional brain networks can vary substantially across individuals. Here, we demonstrate considerable heritability in both the size and spatial organization of individual-specific network topography across cortex. Genetic factors had a regionally variable influence on brain organization, such that heritability in network size, but not topography, was greater in unimodal relative to heteromodal cortices. These data suggest individual-specific network parcellations may provide an avenue to understand the genetic basis of variation in human cognition and behavior.