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Functional brain network analysis using minimum spanning trees in Multiple Sclerosis: an MEG source-space study.

P Tewarie1, A Hillebrand2, M M Schoonheim3

  • 1Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.

Neuroimage
|October 29, 2013
PubMed
Summary
This summary is machine-generated.

Minimum Spanning Tree (MST) analysis reveals altered brain network topology in Multiple Sclerosis (MS). These network changes, particularly a loss of hierarchical structure in the alpha2 band, correlate with cognitive dysfunction in MS patients.

Keywords:
BeamformingCognitionMEGMinimum spanning treeMultiple Sclerosis

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Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Cognitive dysfunction is a significant challenge in Multiple Sclerosis (MS).
  • Altered functional brain network topology is implicated in MS-related cognitive impairment.
  • Conventional network analysis methods face normalization and size-related challenges.

Purpose of the Study:

  • To investigate functional brain network topology changes in early MS using Minimum Spanning Tree (MST) analysis.
  • To determine if MST topology alterations reflect changes in the core functional brain network backbone.
  • To correlate observed network changes with cognitive performance in MS patients.

Main Methods:

  • Resting-state magnetoencephalography (MEG) data were acquired from 21 early MS patients and 17 healthy controls.
  • Functional connectivity was computed using the phase lag index between atlas-based regions-of-interest (ROIs) after beamforming.
  • Minimum Spanning Trees (MSTs) were constructed from the functional connectivity graphs to analyze network topology.

Main Results:

  • MS patients exhibited reduced global integration in alpha2 (10-13Hz) and beta (13-30Hz) bands compared to controls.
  • Increased global integration was observed in the theta band in MS patients.
  • A significant loss of hierarchical structure in the alpha2 band was associated with poorer cognitive performance in MS.

Conclusions:

  • MST analysis effectively detects functional brain network alterations in MS, overcoming limitations of conventional methods.
  • Changes in MST topology, such as reduced hierarchical structure, represent critical backbone alterations in brain networks.
  • Network topology changes identified by MST are linked to cognitive deficits in Multiple Sclerosis.