Functional abnormalities within and between large-scale neural networks in MS as detected by resting state functional MRI

摘要

Resting state (RS) functional MRI (fMRI) investigates spontaneous fluctuations in brain activity to identify spatial patterns with similar temporal coherence. These patterns are thought to represent neural networks and the level of their temporal correlation is thought to reflect the strength of functional connectivity (FC) between regions. In clinical studies, RS-fMRI is used to map the functional connectivity of distinct neural networks without the confounding effects of altered performance.