Unpacking the functional heterogeneity of the Emotional Face Matching Task: a normative modelling approach.

ABSTRACT: Functional neuroimaging has contributed substantially to understanding brain function but is dominated by group analyses that index only a fraction of the variation in these data. It is increasingly clear that parsing the underlying heterogeneity is crucial to understand individual differences and the impact of different task manipulations. We estimate large-scale (N=7728) normative models of task-evoked activation during the Emotional Face Matching Task, which enables us to bind heterogeneous datasets to a common reference and dissect heterogeneity underlying group-level analyses. We apply this model to a heterogenous patient cohort, to map individual differences between patients with one or more mental health diagnoses relative to the reference cohort and determine multivariate associati

SUBMITTER: Savage HS 

PROVIDER: S-EPMC10081244 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature