Literature DB >> 24710974

Effect of neurofeedback and electromyographic-biofeedback therapy on improving hand function in stroke patients.

S M Rayegani1, S A Raeissadat2, L Sedighipour3, I Mohammad Rezazadeh4, M H Bahrami1, D Eliaspour1, S Khosrawi5.   

Abstract

PURPOSE: The aim of the present study was to evaluate the effect of applying electroencephalogram (EEG) biofeedback (neurobiofeedback) or electromyographic (EMG) biofeedback to conventional occupational therapy (OT) on improving hand function in stroke patients.
METHODS: This study was designed as a preliminary clinical trial. Thirty patients with stroke were entered the study. Hand function was evaluated by Jebsen Hand Function Test pre and post intervention. Patients were allocated to 3 intervention cohorts: (1) OT, (2) OT plus EMG-biofeedback therapy, and (3) OT plus neurofeedback therapy. All patients received 10 sessions of conventional OT. Patients in cohorts 2 and 3 also received EMG-biofeedback and neurofeedback therapy, respectively. EMG-biofeedback therapy was performed to strengthen the abductor pollicis brevis (APB) muscle. Neurofeedback training was aimed at enhancing sensorimotor rhythm after mental motor imagery.
RESULTS: Hand function was improved significantly in the 3 groups. The spectral power density of the sensorimotor rhythm band in the neurofeedback group increased after mental motor imagery. Maximum and mean contraction values of electrical activities of the APB muscle during voluntary contraction increased significantly after EMG-biofeedback training.
CONCLUSION: Patients in the neurofeedback and EMG-biofeedback groups showed hand improvement similar to conventional OT. Further studies are suggested to assign the best protocol for neurofeedback and EMG-biofeedback therapy.

Entities:  

Keywords:  EMG biofeedback; hand function; neurofeedback; stroke

Mesh:

Year:  2014        PMID: 24710974     DOI: 10.1310/tsr2102-137

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  18 in total

Review 1.  A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke.

Authors:  Alexander Remsik; Brittany Young; Rebecca Vermilyea; Laura Kiekhoefer; Jessica Abrams; Samantha Evander Elmore; Paige Schultz; Veena Nair; Dorothy Edwards; Justin Williams; Vivek Prabhakaran
Journal:  Expert Rev Med Devices       Date:  2016-05       Impact factor: 3.166

2.  Combined real-time fMRI and real time fNIRS brain computer interface (BCI): Training of volitional wrist extension after stroke, a case series pilot study.

Authors:  Avi K Matarasso; Jake D Rieke; Keith White; M Minhal Yusufali; Janis J Daly
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

3.  Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams.

Authors:  Khader Shameer; Marcus A Badgeley; Riccardo Miotto; Benjamin S Glicksberg; Joseph W Morgan; Joel T Dudley
Journal:  Brief Bioinform       Date:  2016-02-14       Impact factor: 11.622

4.  Effects of kinetic chain exercise using EMG-biofeedback on balance and lower extremity muscle activation in stroke patients.

Authors:  Yong Keun Park; Je Ho Kim
Journal:  J Phys Ther Sci       Date:  2017-08-10

5.  The effect of surface electromyography biofeedback on the activity of extensor and dorsiflexor muscles in elderly adults: a randomized trial.

Authors:  Ana Belén Gámez; Juan José Hernandez Morante; José Luis Martínez Gil; Francisco Esparza; Carlos Manuel Martínez
Journal:  Sci Rep       Date:  2019-09-11       Impact factor: 4.379

6.  Changes in skeletal muscle perfusion and spasticity in patients with poststroke hemiparesis treated by robotic assistance (Gloreha) of the hand.

Authors:  Luciano Bissolotti; Jorge Hugo Villafañe; Paolo Gaffurini; Claudio Orizio; Kristin Valdes; Stefano Negrini
Journal:  J Phys Ther Sci       Date:  2016-03-31

7.  Altered lower leg muscle activation patterns in patients with cerebral palsy during cycling on an ergometer.

Authors:  Ana Alves-Pinto; Tobias Blumenstein; Varvara Turova; Renée Lampe
Journal:  Neuropsychiatr Dis Treat       Date:  2016-06-17       Impact factor: 2.570

8.  Focusing on Increasing Velocity during Heavy Resistance Knee Flexion Exercise Boosts Hamstring Muscle Activity in Chronic Stroke Patients.

Authors:  Jonas Vinstrup; Joaquin Calatayud; Markus D Jakobsen; Emil Sundstrup; Lars L Andersen
Journal:  Neurol Res Int       Date:  2016-07-25

Review 9.  Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis.

Authors:  María A Cervera; Surjo R Soekadar; Junichi Ushiba; José Del R Millán; Meigen Liu; Niels Birbaumer; Gangadhar Garipelli
Journal:  Ann Clin Transl Neurol       Date:  2018-03-25       Impact factor: 4.511

10.  Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis.

Authors:  Zhongfei Bai; Kenneth N K Fong; Jack Jiaqi Zhang; Josephine Chan; K H Ting
Journal:  J Neuroeng Rehabil       Date:  2020-04-25       Impact factor: 4.262

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