Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis

Author:

De Cock Alexander123ORCID,Van Ranst Alexander45,Costers Lars3ORCID,Keytsman Eva3,D'Hooghe Marie B.145ORCID,D'Haeseleer Miguel145ORCID,Nagels Guy23456ORCID,Van Schependom Jeroen37ORCID

Affiliation:

1. Nationaal Multiple Sclerose Centrum Melsbroek Belgium

2. Center for Neurosciences (C4N) Vrije Universiteit Brussel (VUB) Brussels Belgium

3. AIMS Lab, Center for Neurosciences, UZ Brussel Vrije Universiteit Brussel Brussels Belgium

4. Neurology Department Universitair Ziekenhuis Brussel Brussels Belgium

5. Center for Neurosciences Vrije Universiteit Brussel Brussels Belgium

6. St Edmund Hall, University of Oxford Oxford UK

7. Department of Electronics and Informatics (ETRO) Vrije Universiteit Brussel Brussels Belgium

Abstract

AbstractObjectiveCognitive impairment is common in multiple sclerosis (MS), significantly impacts daily functioning, is time‐consuming to assess, and is prone to practice effects. We examined whether the alpha band power measured with magnetoencephalography (MEG) is associated with the different cognitive domains affected by MS.MethodsSixty‐eight MS patients and 47 healthy controls underwent MEG, T1‐ and FLAIR‐weighted magnetic resonance imaging (MRI), and neuropsychological testing. Alpha power in the occipital cortex was quantified in the alpha1 (8–10 Hz) and alpha2 (10–12 Hz) bands. Next, we performed best subset regression to assess the added value of neurophysiological measures to commonly available MRI measures.ResultsAlpha2 power significantly correlated with information processing speed (p < 0.001) and was always retained in all multilinear models, whereas thalamic volume was retained in 80% of all models. Alpha1 power was correlated with visual memory (p < 0.001) but only retained in 38% of all models.ConclusionsAlpha2 (10–12 Hz) power in rest is associated with IPS, independent of standard MRI parameters. This study stresses that a multimodal assessment, including structural and functional biomarkers, is likely required to characterize cognitive impairment in MS. Resting‐state neurophysiology is thus a promising tool to understand and follow up changes in IPS.

Funder

Fonds Wetenschappelijk Onderzoek

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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