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Related Concept Videos

Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...
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Updated: May 18, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

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Published on: July 19, 2019

Large-scale neuronal network dysfunction in relapsing-remitting multiple sclerosis.

Maria A Rocca1, Paola Valsasina, Vittorio Martinelli

  • 1Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.

Neurology
|September 8, 2012
PubMed
Summary
This summary is machine-generated.

Multiple sclerosis (MS) disrupts brain connectivity, affecting multiple large-scale neuronal networks. These functional connectivity changes correlate with disease severity and lesion load.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Neurology

Background:

  • Multiple sclerosis (MS) is characterized by diffuse brain hemisphere involvement.
  • Understanding functional connectivity (FC) abnormalities is crucial for assessing MS impact.

Purpose of the Study:

  • To investigate intrinsic FC and functional network connectivity (FNC) in large-scale neuronal networks in relapsing-remitting MS (RRMS) patients.
  • To test the hypothesis that MS causes distributed FC abnormalities.

Main Methods:

  • Resting-state functional magnetic resonance imaging (RS-fMRI) was employed.
  • Independent component analysis (ICA) was used to analyze RS-fMRI data.
  • Functional network connectivity (FNC) toolbox assessed interactions among resting-state networks (RSNs).

Main Results:

  • RRMS patients showed decreased RS FC in salience, executive control, working memory, default mode, sensorimotor, and visual networks.
  • Increased RS FC was observed in executive control and auditory networks.
  • Decreased RS FC correlated with disability and T2 lesion volume; altered FNC was noted between networks.

Conclusions:

  • Functional abnormalities within and between brain networks are present in RRMS.
  • These abnormalities are linked to T2 lesion extent and disability severity.
  • Further longitudinal studies are needed to determine the role of these functional changes in disease progression.