Literature DB >> 31326646

Changes in mu and beta amplitude of the EEG during upper limb movement correlate with motor impairment and structural damage in subacute stroke.

Gadi Bartur1, Hillel Pratt2, Nachum Soroker3.   

Abstract

OBJECTIVE: Mu and beta EEG oscillations show typical desynchronization patterns during movement. The aim of the current study was to assess whether in sub-acute stroke patients the magnitude of movement-related desynchronization reflects the extent of residual motor ability in the paretic upper limb.
METHODS: EEG and EMG data were recorded from 14 first-event stroke patients during repeated wrist extension movements of the paretic upper limb. Residual motor ability was assessed by the Fugl Meyer and Box and Blocks standardized clinical tests. Normalized lesion data was analyzed using the MEDx software.
RESULTS: The magnitude of event-related de-synchronization (ERD) of the high-mu and low-beta bands of the EEG, measured over the affected hemisphere, correlated significantly with (a) residual motor function in the paretic upper limb as measured by standard clinical tests; (b) the magnitude of EMG recorded from the paretic upper limb during wrist extension; and (c) the total hemispheric volume loss (negative correlation).
CONCLUSION: The magnitude of high-mu and low-beta ERD recorded from the lesioned hemisphere of subacute stroke patients correlates with residual motor ability in the paretic upper limb. SIGNIFICANCE: Measures derived from quantitative EEG analysis may play an important role in neurorehabilitation clinical practice.
Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EEG; Event related de-synchronization; Stroke

Mesh:

Year:  2019        PMID: 31326646     DOI: 10.1016/j.clinph.2019.06.008

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


  10 in total

1.  β-Oscillations Reflect Recovery of the Paretic Upper Limb in Subacute Stroke.

Authors:  Chih-Wei Tang; Fu-Jung Hsiao; Po-Lei Lee; Yun-An Tsai; Ya-Fang Hsu; Wei-Ta Chen; Yung-Yang Lin; Charlotte J Stagg; I-Hui Lee
Journal:  Neurorehabil Neural Repair       Date:  2020-04-23       Impact factor: 3.919

Review 2.  Relation Between EEG Measures and Upper Limb Motor Recovery in Stroke Patients: A Scoping Review.

Authors:  Giada Milani; Annibale Antonioni; Andrea Baroni; Paola Malerba; Sofia Straudi
Journal:  Brain Topogr       Date:  2022-09-22       Impact factor: 4.275

3.  Longitudinal Electroencephalography Analysis in Subacute Stroke Patients During Intervention of Brain-Computer Interface With Exoskeleton Feedback.

Authors:  Shugeng Chen; Lei Cao; Xiaokang Shu; Hewei Wang; Li Ding; Shui-Hua Wang; Jie Jia
Journal:  Front Neurosci       Date:  2020-08-14       Impact factor: 4.677

4.  Neurophysiological signatures of hand motor response to dual-transcranial direct current stimulation in subacute stroke: a TMS and MEG study.

Authors:  I-Ju Kuo; Chih-Wei Tang; Yun-An Tsai; Shuen-Chang Tang; Chun-Jen Lin; Shih-Pin Hsu; Wei-Kuang Liang; Chi-Hung Juan; Catharina Zich; Charlotte J Stagg; I-Hui Lee
Journal:  J Neuroeng Rehabil       Date:  2020-06-11       Impact factor: 4.262

5.  The Neurophysiological Impact of Subacute Stroke: Changes in Cortical Oscillations Evoked by Bimanual Finger Movement.

Authors:  Ana Dionísio; Rita Gouveia; João Castelhano; Isabel Catarina Duarte; Gustavo C Santo; João Sargento-Freitas; Miguel Castelo-Branco
Journal:  Stroke Res Treat       Date:  2022-01-24

6.  Bilaterally Reduced Rolandic Beta Band Activity in Minor Stroke Patients.

Authors:  Joshua P Kulasingham; Christian Brodbeck; Sheena Khan; Elisabeth B Marsh; Jonathan Z Simon
Journal:  Front Neurol       Date:  2022-03-28       Impact factor: 4.003

7.  Prediction of balance function for stroke based on EEG and fNIRS features during ankle dorsiflexion.

Authors:  Jun Liang; Yanxin Song; Abdelkader Nasreddine Belkacem; Fengmin Li; Shizhong Liu; Xiaona Chen; Xinrui Wang; Yueyun Wang; Chunxiao Wan
Journal:  Front Neurosci       Date:  2022-08-18       Impact factor: 5.152

8.  Reconstructing Synergy-Based Hand Grasp Kinematics from Electroencephalographic Signals.

Authors:  Dingyi Pei; Parthan Olikkal; Tülay Adali; Ramana Vinjamuri
Journal:  Sensors (Basel)       Date:  2022-07-18       Impact factor: 3.847

9.  Development of a Low-Cost EEG-Controlled Hand Exoskeleton 3D Printed on Textiles.

Authors:  Rommel S Araujo; Camille R Silva; Severino P N Netto; Edgard Morya; Fabricio L Brasil
Journal:  Front Neurosci       Date:  2021-06-25       Impact factor: 4.677

Review 10.  Electroencephalogram (EEG) With or Without Transcranial Magnetic Stimulation (TMS) as Biomarkers for Post-stroke Recovery: A Narrative Review.

Authors:  Zafer Keser; Samuel C Buchl; Nathan A Seven; Matej Markota; Heather M Clark; David T Jones; Giuseppe Lanzino; Robert D Brown; Gregory A Worrell; Brian N Lundstrom
Journal:  Front Neurol       Date:  2022-02-22       Impact factor: 4.003

  10 in total

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