Dissecting whole-brain conduction delays through MRI microstructural measures.

ABSTRACT: Network models based on structural connectivity have been increasingly used as the blueprint for large-scale simulations of the human brain. As the nodes of this network are distributed through the cortex and interconnected by white matter pathways with different characteristics, modeling the associated conduction delays becomes important. The goal of this study is to estimate and characterize these delays directly from the brain structure. To achieve this, we leveraged microstructural measures from a combination of advanced magnetic resonance imaging acquisitions and computed the main determinants of conduction velocity, namely axonal diameter and myelin content. Using the model proposed by Rushton, we used these measures to calculate the conduction velocity and estimated the associated d

SUBMITTER: Mancini M 

PROVIDER: S-EPMC8448685 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature