Identifying the Neural Correlates of Resting State Affect Processing Dynamics.

ABSTRACT: There exists growing interest in understanding the dynamics of resting state functional magnetic resonance imaging (rs-fMRI) to establish mechanistic links between individual patterns of spontaneous neural activation and corresponding behavioral measures in both normative and clinical populations. Here we propose and validate a novel approach in which whole-brain rs-fMRI data are mapped to a specific low-dimensional representation-affective valence and arousal processing-prior to dynamic analysis. This mapping process constrains the state space such that both independent validation and visualization of the system's dynamics become tractable. To test this approach, we constructed neural decoding models of affective valence and arousal processing from brain states induced by International Af

SUBMITTER: Fialkowski KP 

PROVIDER: S-EPMC10406310 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature