1. Functional brain network organization measured with magnetoencephalography predicts cognitive decline in multiple sclerosis
- Author
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S. D. Kulik, Linda Douw, Menno M. Schoonheim, Lucas C Breedt, Brigit A. de Jong, Arjan Hillebrand, Prejaas Tewarie, I. M. Nauta, Bernard M. J. Uitdehaag, Dirk Bertens, Jeroen J. G. Geurts, Eva M.M. Strijbis, Cornelis J. Stam, Anand J. C. Eijlers, Anatomy and neurosciences, Neurology, Amsterdam Neuroscience - Neuroinfection & -inflammation, Pathology, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Systems & Network Neuroscience, Amsterdam Neuroscience - Neurodegeneration, and APH - Quality of Care
- Subjects
magnetoencephalography ,Multiple Sclerosis ,longitudinal ,Brain damage ,050105 experimental psychology ,cognitive functioning ,03 medical and health sciences ,Functional brain ,0302 clinical medicine ,network organization ,medicine ,magnetic resonance imaging ,Humans ,0501 psychology and cognitive sciences ,Cognitive Dysfunction ,Cognitive skill ,Cognitive decline ,Neuro- en revalidatiepsychologie ,medicine.diagnostic_test ,business.industry ,Multiple sclerosis ,Neuropsychology and rehabilitation psychology ,05 social sciences ,Brain ,Magnetic resonance imaging ,Magnetoencephalography ,medicine.disease ,Cross-Sectional Studies ,Neurology ,Neurology (clinical) ,medicine.symptom ,Nerve Net ,business ,Neuroscience ,Original Research Papers ,030217 neurology & neurosurgery - Abstract
Background: Cognitive decline remains difficult to predict as structural brain damage cannot fully explain the extensive heterogeneity found between MS patients. Objective: To investigate whether functional brain network organization measured with magnetoencephalography (MEG) predicts cognitive decline in MS patients after 5 years and to explore its value beyond structural pathology. Methods: Resting-state MEG recordings, structural MRI, and neuropsychological assessments were analyzed of 146 MS patients, and 100 patients had a 5-year follow-up neuropsychological assessment. Network properties of the minimum spanning tree (i.e. backbone of the functional brain network) indicating network integration and overload were related to baseline and longitudinal cognition, correcting for structural damage. Results: A more integrated beta band network (i.e. smaller diameter) and a less integrated delta band network (i.e. lower leaf fraction) predicted cognitive decline after 5 years ([Formula: see text]), independent of structural damage. Cross-sectional analyses showed that a less integrated network (e.g. lower tree hierarchy) related to worse cognition, independent of frequency band. Conclusions: The level of functional brain network integration was an independent predictive marker of cognitive decline, in addition to the severity of structural damage. This work thereby indicates the promise of MEG-derived network measures in predicting disease progression in MS.
- Published
- 2020
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