Resting-state MEG measurement of functional activation as a biomarker for cognitive decline in MS

Deborah N. Schoonhoven*, Matteo Fraschini, Prejaas Tewarie, Bernard M.J. Uitdehaag, Anand J.C. Eijlers, Jeroen J.G. Geurts, Arjan Hillebrand, Menno M. Schoonheim, Cornelis J. Stam, Eva M.M. Strijbis

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

19 Citations (Scopus)
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Background: Neurophysiological measures of brain function, such as magnetoencephalography (MEG), are widely used in clinical neurology and have strong relations with cognitive impairment and dementia but are still underdeveloped in multiple sclerosis (MS). Objectives: To demonstrate the value of clinically applicable MEG-measures in evaluating cognitive impairment in MS. Methods: In eyes-closed resting-state, MEG data of 83 MS patients and 34 healthy controls (HCs) peak frequencies and relative power of six canonical frequency bands for 78 cortical and 10 deep gray matter (DGM) areas were calculated. Linear regression models, correcting for age, gender, and education, assessed the relation between cognitive performance and MEG biomarkers. Results: Increased alpha1 and theta power was strongly associated with impaired cognition in patients, which differed between cognitively impaired (CI) patients and HCs in bilateral parietotemporal cortices. CI patients had a lower peak frequency than HCs. Oscillatory slowing was also widespread in the DGM, most pronounced in the thalamus. Conclusion: There is a clinically relevant slowing of neuronal activity in MS patients in parietotemporal cortical areas and the thalamus, strongly related to cognitive impairment. These measures hold promise for the application of resting-state MEG as a biomarker for cognitive disturbances in MS in a clinical setting.

Original languageEnglish
Pages (from-to)1896-1906
Number of pages11
JournalMultiple Sclerosis Journal
Issue number14
Publication statusPublished - 1 Dec 2019
Externally publishedYes


  • cognition
  • magnetoencephalography
  • Multiple sclerosis
  • oscillatory activity
  • power


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