Literature DB >> 33242237

Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis.

Martin Sjøgård1, Vincent Wens1,2, Jeroen Van Schependom3,4, Lars Costers3, Marie D'hooghe3,4, Miguel D'haeseleer3,4, Mark Woolrich5, Serge Goldman1,2, Guy Nagels3,4,6, Xavier De Tiège1,2.   

Abstract

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.
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

Entities:  

Keywords:  cognitive fatigue; cognitive impairment; functional connectivity; magnetoencephalography; multiple sclerosis

Mesh:

Year:  2020        PMID: 33242237      PMCID: PMC7814767          DOI: 10.1002/hbm.25247

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.399


  113 in total

Review 1.  The clinico-radiological paradox in multiple sclerosis revisited.

Authors:  Frederik Barkhof
Journal:  Curr Opin Neurol       Date:  2002-06       Impact factor: 5.710

2.  Functional connectivity changes in multiple sclerosis patients: a graph analytical study of MEG resting state data.

Authors:  Menno M Schoonheim; Jeroen J G Geurts; Doriana Landi; Linda Douw; Marieke L van der Meer; Hugo Vrenken; Chris H Polman; Frederik Barkhof; Cornelis J Stam
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

3.  A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping.

Authors:  Vincent Wens; Brice Marty; Alison Mary; Mathieu Bourguignon; Marc Op de Beeck; Serge Goldman; Patrick Van Bogaert; Philippe Peigneux; Xavier De Tiège
Journal:  Hum Brain Mapp       Date:  2015-09-02       Impact factor: 5.038

4.  Resting state networks change in clinically isolated syndrome.

Authors:  Stefan D Roosendaal; Menno M Schoonheim; Hanneke E Hulst; Ernesto J Sanz-Arigita; Stephen M Smith; Jeroen J G Geurts; Frederik Barkhof
Journal:  Brain       Date:  2010-03-30       Impact factor: 13.501

5.  Brain plasticity in relapsing-remitting multiple sclerosis: evidence from resting-state fMRI.

Authors:  Yaou Liu; Peipeng Liang; Yunyun Duan; Xiuqin Jia; Chunshui Yu; Min Zhang; Fei Wang; Mo Zhang; Huiqing Dong; Jing Ye; Helmut Butzkueven; Kuncheng Li
Journal:  J Neurol Sci       Date:  2011-02-23       Impact factor: 3.181

6.  Detecting large-scale networks in the human brain using high-density electroencephalography.

Authors:  Quanying Liu; Seyedehrezvan Farahibozorg; Camillo Porcaro; Nicole Wenderoth; Dante Mantini
Journal:  Hum Brain Mapp       Date:  2017-06-20       Impact factor: 5.038

Review 7.  Measurement and clinical effect of grey matter pathology in multiple sclerosis.

Authors:  Jeroen J G Geurts; Massimiliano Calabrese; Elizabeth Fisher; Richard A Rudick
Journal:  Lancet Neurol       Date:  2012-12       Impact factor: 44.182

8.  Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke.

Authors:  Rosalia Dacosta-Aguayo; Manuel Graña; Yasser Iturria-Medina; Marina Fernández-Andújar; Elena López-Cancio; Cynthia Cáceres; Núria Bargalló; Maite Barrios; Immaculada Clemente; Pera Toran; Rosa Forés; Antoni Dávalos; Tibor Auer; Maria Mataró
Journal:  Hum Brain Mapp       Date:  2014-10-16       Impact factor: 5.038

9.  Dissociated neuronal phase- and amplitude-coupling patterns in the human brain.

Authors:  Marcus Siems; Markus Siegel
Journal:  Neuroimage       Date:  2020-01-11       Impact factor: 6.556

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

Authors:  Deborah N Schoonhoven; Matteo Fraschini; Prejaas Tewarie; Bernard Mj Uitdehaag; Anand Jc Eijlers; Jeroen Jg Geurts; Arjan Hillebrand; Menno M Schoonheim; Cornelis J Stam; Eva Mm Strijbis
Journal:  Mult Scler       Date:  2018-11-22       Impact factor: 6.312

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  5 in total

1.  The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis.

Authors:  Andrew S Monaghan; Jessie M Huisinga; Daniel S Peterson
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.996

2.  Age of onset modulates resting-state brain network dynamics in Friedreich Ataxia.

Authors:  Gilles Naeije; Nicolas Coquelet; Vincent Wens; Serge Goldman; Massimo Pandolfo; Xavier De Tiège
Journal:  Hum Brain Mapp       Date:  2021-09-15       Impact factor: 5.038

3.  Atypical resting-state functional brain connectivity in children with developmental coordination disorder.

Authors:  Dorine Van Dyck; Nicolas Deconinck; Alec Aeby; Simon Baijot; Nicolas Coquelet; Nicola Trotta; Antonin Rovai; Serge Goldman; Charline Urbain; Vincent Wens; Xavier De Tiège
Journal:  Neuroimage Clin       Date:  2021-12-23       Impact factor: 4.881

4.  Microstates and power envelope hidden Markov modeling probe bursting brain activity at different timescales.

Authors:  N Coquelet; X De Tiège; L Roshchupkina; P Peigneux; S Goldman; M Woolrich; V Wens
Journal:  Neuroimage       Date:  2021-12-22       Impact factor: 6.556

5.  Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis.

Authors:  Martin Sjøgård; Vincent Wens; Jeroen Van Schependom; Lars Costers; Marie D'hooghe; Miguel D'haeseleer; Mark Woolrich; Serge Goldman; Guy Nagels; Xavier De Tiège
Journal:  Hum Brain Mapp       Date:  2020-11-26       Impact factor: 5.399

  5 in total

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