Brain parcellation selection: An overlooked decision point with meaningful effects on individual differences in resting-state functional connectivity.

ABSTRACT: Over the past decade extensive research has examined the segregation of the human brain into large-scale functional networks. The resulting network maps, i.e. parcellations, are now commonly used for the a priori identification of functional networks. However, the use of these parcellations, particularly in developmental and clinical samples, hinges on four fundamental assumptions: (1) the various parcellations are equally able to recover the networks of interest; (2) adult-derived parcellations well represent the networks in children's brains; (3) network properties, such as within-network connectivity, are reliably measured across parcellations; and (4) parcellation selection does not impact the results with regard to individual differences in given network properties. In the present stu

SUBMITTER: Bryce NV 

PROVIDER: S-EPMC8629133 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature