Literature DB >> 28772244

Exploring resting-state EEG brain oscillatory activity in relation to cognitive functioning in multiple sclerosis.

Philipp M Keune1, Sascha Hansen2, Emily Weber3, Franziska Zapf2, Juliane Habich3, Jana Muenssinger3, Sebastian Wolf4, Michael Schönenberg4, Patrick Oschmann3.   

Abstract

OBJECTIVE: Neurophysiologic monitoring parameters related to cognition in Multiple Sclerosis (MS) are sparse. Previous work reported an association between magnetoencephalographic (MEG) alpha-1 activity and information processing speed. While this remains to be replicated by more available electroencephalographic (EEG) methods, also other established EEG markers, e.g. the slow-wave/fast-wave ratio (theta/beta ratio), remain to be explored in this context.
METHODS: Performance on standard tests addressing information processing speed and attention (Symbol-Digit Modalities Test, SDMT; Test of Attention Performance, TAP) was examined in relation to resting-state EEG alpha-1 and alpha-2 activity and the theta/beta ratio in 25MS patients.
RESULTS: Increased global alpha-1 and alpha-2 activity and an increased frontal theta/beta ratio (pronounced slow-wave relative to fast-wave activity) were associated with lower SDMT processing speed. In an exploratory analysis, clinically impaired attention was associated with a significantly increased frontal theta/beta ratio whereas alpha power did not show sensitivity to clinical impairment.
CONCLUSIONS: EEG global alpha power and the frontal theta/beta ratio were both associated with attention. The theta/beta ratio involved potential clinical sensitivity. SIGNIFICANCE: Resting-state EEG recordings can be obtained during the routine clinical process. The examined resting-state measures may represent feasible monitoring parameters in MS. This notion should be explored in future intervention studies.
Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Attention; Multiple sclerosis (MS); Resting-state electroencephalogram (EEG); Symbol digit modalities test (SDMT); Test of attention performance (TAP); Theta/beta ratio

Mesh:

Year:  2017        PMID: 28772244     DOI: 10.1016/j.clinph.2017.06.253

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  14 in total

1.  Cross-Species Investigation on Resting State Electroencephalogram.

Authors:  Fengrui Zhang; Feixue Wang; Lupeng Yue; Huijuan Zhang; Weiwei Peng; Li Hu
Journal:  Brain Topogr       Date:  2019-07-04       Impact factor: 3.020

2.  Frontal Beta Transcranial Alternating Current Stimulation Improves Reversal Learning.

Authors:  Miles Wischnewski; Mie L Joergensen; Boukje Compen; Dennis J L G Schutter
Journal:  Cereb Cortex       Date:  2020-05-14       Impact factor: 5.357

3.  Frontal brain activity and cognitive processing speed in multiple sclerosis: An exploration of EEG neurofeedback training.

Authors:  Philipp M Keune; Sascha Hansen; Torsten Sauder; Sonja Jaruszowic; Christina Kehm; Jana Keune; Emily Weber; Michael Schönenberg; Patrick Oschmann
Journal:  Neuroimage Clin       Date:  2019-02-11       Impact factor: 4.881

4.  Individualized pattern recognition for detecting mind wandering from EEG during live lectures.

Authors:  Kiret Dhindsa; Anita Acai; Natalie Wagner; Dan Bosynak; Stephen Kelly; Mohit Bhandari; Brad Petrisor; Ranil R Sonnadara
Journal:  PLoS One       Date:  2019-09-12       Impact factor: 3.240

5.  Hyperexcitability of Cortical Oscillations in Patients with Somatoform Pain Disorder: A Resting-State EEG Study.

Authors:  Qian Ye; Dong Yan; Manlin Yao; Wutao Lou; Weiwei Peng
Journal:  Neural Plast       Date:  2019-07-09       Impact factor: 3.599

6.  Electroencephalography theta/beta ratio covaries with mind wandering and functional connectivity in the executive control network.

Authors:  Dana van Son; Mischa de Rover; Frances M De Blasio; Willem van der Does; Robert J Barry; Peter Putman
Journal:  Ann N Y Acad Sci       Date:  2019-07-16       Impact factor: 5.691

7.  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

8.  Deficits in Early Sensory and Cognitive Processing Are Related to Phase and Nonphase EEG Activity in Multiple Sclerosis Patients.

Authors:  Esteban Sarrias-Arrabal; Sara Eichau; Alejandro Galvao-Carmona; Elvira Domínguez; Guillermo Izquierdo; Manuel Vázquez-Marrufo
Journal:  Brain Sci       Date:  2021-05-13

9.  Frontoparietal connectivity correlates with working memory performance in multiple sclerosis.

Authors:  Alejandra Figueroa-Vargas; Claudia Cárcamo; Rodrigo Henríquez-Ch; Francisco Zamorano; Ethel Ciampi; Reinaldo Uribe-San-Martin; Macarena Vásquez; Francisco Aboitiz; Pablo Billeke
Journal:  Sci Rep       Date:  2020-06-09       Impact factor: 4.379

10.  Altered phase and nonphase EEG activity expose impaired maintenance of a spatial-object attentional focus in multiple sclerosis patients.

Authors:  M Vazquez-Marrufo; E Sarrias-Arrabal; R Martin-Clemente; A Galvao-Carmona; G Navarro; G Izquierdo
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

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