Simulating the impact of white matter connectivity on processing time scales using brain network models.

ABSTRACT: The capacity of the brain to process input across temporal scales is exemplified in human narrative, which requires integration of information ranging from words, over sentences to long paragraphs. It has been shown that this processing is distributed in a hierarchy across multiple areas in the brain with areas close to the sensory cortex, processing on a faster time scale than areas in associative cortex. In this study we used reservoir computing with human derived connectivity to investigate the effect of the structural connectivity on time scales across brain regions during a narrative task paradigm. We systematically tested the effect of removal of selected fibre bundles (IFO, ILF, MLF, SLF I/II/III, UF, AF) on the processing time scales across brain regions. We show that long distance

SUBMITTER: Triebkorn P 

PROVIDER: S-EPMC11806016 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature