Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis.
Martin SjøgårdVincent WensJeroen Van SchependomLars CostersMarie D'hoogheMiguel D'haeseleerMark WoolrichSerge GoldmanGuy NagelsXavier P De TiègePublished in: Human brain mapping (2020)
The pathophysiology of cognitive dysfunction in multiple sclerosis (MS) is still unclear. This magnetoencephalography (MEG) study investigates the impact of MS on brain resting-state functional connectivity (rsFC) and its relationship to disability and cognitive impairment. We investigated rsFC based on power envelope correlation within and between different frequency bands, in a large cohort of participants consisting of 99 MS patients and 47 healthy subjects. Correlations were investigated between rsFC and outcomes on disability, disease duration and 7 neuropsychological scores within each group, while stringently correcting for multiple comparisons and possible confounding factors. Specific dysconnections correlating with MS-induced physical disability and disease duration were found within the sensorimotor and language networks, respectively. Global network-level reductions in within- and cross-network rsFC were observed in the default-mode network. Healthy subjects and patients significantly differed in their scores on cognitive fatigue and verbal fluency. Healthy subjects and patients showed different correlation patterns between rsFC and cognitive fatigue or verbal fluency, both of which involved a shift in patients from the posterior default-mode network to the language network. Introducing electrophysiological rsFC in a regression model of verbal fluency and cognitive fatigue in MS patients significantly increased the explained variance compared to a regression limited to structural MRI markers (relative thalamic volume and lesion load). This MEG study demonstrates that MS induces distinct changes in the resting-state functional brain architecture that relate to disability, disease duration and specific cognitive functioning alterations. It highlights the potential value of electrophysiological intrinsic rsFC for monitoring the cognitive impairment in patients with MS.
Keyphrases
- resting state
- functional connectivity
- multiple sclerosis
- end stage renal disease
- chronic kidney disease
- cognitive impairment
- mass spectrometry
- newly diagnosed
- ejection fraction
- computed tomography
- magnetic resonance
- physical activity
- autism spectrum disorder
- metabolic syndrome
- magnetic resonance imaging
- cerebral ischemia
- adipose tissue
- depressive symptoms
- brain injury
- subarachnoid hemorrhage
- atomic force microscopy
- climate change
- insulin resistance
- drug induced
- high speed
- high resolution