Multilayer Network Analysis across Cortical Depths in Resting-State 7T fMRI.

ABSTRACT: In graph theory, "multilayer networks" represent systems involving several interconnected topological levels. One example in neuroscience is the stratification of connections between different cortical depths or "laminae", which is becoming non-invasively accessible in humans using ultra-high-resolution functional MRI (fMRI). Here, we applied multilayer graph theory to examine functional connectivity across different cortical depths in humans, using 7T fMRI (1-mm³ voxels; 30 participants). Blood oxygenation level dependent (BOLD) signals were derived from five depths between the white matter and pial surface. We compared networks where the inter-regional connections were limited to a single cortical depth only ("layer-by-layer matrices") to those considering all possible connect

SUBMITTER: Kotlarz P 

PROVIDER: S-EPMC10769454 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature