Decoding task specific and task general functional architectures of the brain.

ABSTRACT: Functional magnetic resonance imaging (fMRI) is used to capture complex and dynamic interactions between brain regions while performing tasks. Task related alterations in the brain have been classified as task specific and task general, depending on whether they are particular to a task or common across multiple tasks. Using recent attempts in interpreting deep learning models, we propose an approach to determine both task specific and task general architectures of the functional brain. We demonstrate our methods with a reference-based decoder on deep learning classifiers trained on 12,500 rest and task fMRI samples from the Human Connectome Project (HCP). The decoded task general and task specific motor and language architectures were validated with findings from previous studies. We foun

SUBMITTER: Gupta S 

PROVIDER: S-EPMC9120557 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature