Literature DB >> 25985858

Neurofeedback training improves the dual-task performance ability in stroke patients.

Young-Shin Lee1, Sea-Hyun Bae, Sung-Hee Lee, Kyung-Yoon Kim.   

Abstract

Owing to the reduced capacity for information processing following a stroke, patients commonly present with difficulties in performing activities of daily living that combine two or more tasks. To address this problem, in the present study, we investigated the effects of neurofeedback training on the abilities of stroke patients to perform dual motor tasks. We randomly assigned 20 patients who had sustained a stroke within the preceding 6 months to either a pseudo-neurofeedback (n = 10) or neurofeedback (n = 10) group. Both groups participated in a general exercise intervention for 8 weeks, three times a week for 30 min per session, under the same conditions. An electrode was secured to the scalp over the region of the central lobe (Cz), in compliance with the International 10-20 System. The electrode was inactive for the pseudo-training group. Participants in the neurofeedback training group received the 30-min neurofeedback training per session for reinforcing the sensorimotor rhythm. Electroencephalographic activity of the two groups was compared. In addition, selected parameters of gait (velocity, cadence [step/min], stance phase [%], and foot pressure) were analyzed using a 10-m walk test, attention-demanding task, walk task and quantified by the SmartStep system. The neurofeedback group showed significantly improved the regulation of the sensorimotor rhythm (p < 0.001) and ability to execute dual tasks (p < 0.01). Significant improvements on selected gait parameters (velocity and cadence; p < 0.05) were also observed. We thus propose that the neurofeedback training is effective to improve the dual-task performance in stroke patients.

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Mesh:

Year:  2015        PMID: 25985858     DOI: 10.1620/tjem.236.81

Source DB:  PubMed          Journal:  Tohoku J Exp Med        ISSN: 0040-8727            Impact factor:   1.848


  5 in total

Review 1.  Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?

Authors:  Yang Jiang; William Jessee; Stevie Hoyng; Soheil Borhani; Ziming Liu; Xiaopeng Zhao; Lacey K Price; Walter High; Jeremiah Suhl; Sylvia Cerel-Suhl
Journal:  Front Aging Neurosci       Date:  2022-03-28       Impact factor: 5.702

Review 2.  Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.

Authors:  Cristiana Pinheiro; Joana Figueiredo; João Cerqueira; Cristina P Santos
Journal:  Sensors (Basel)       Date:  2022-09-22       Impact factor: 3.847

Review 3.  Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases.

Authors:  Thomas Bowman; Elisa Gervasoni; Chiara Arienti; Stefano Giuseppe Lazzarini; Stefano Negrini; Simona Crea; Davide Cattaneo; Maria Chiara Carrozza
Journal:  Sensors (Basel)       Date:  2021-05-15       Impact factor: 3.576

4.  Neurophysiologic Correlates of Post-stroke Mood and Emotional Control.

Authors:  Deniz Doruk; Marcel Simis; Marta Imamura; André R Brunoni; Leon Morales-Quezada; Renato Anghinah; Felipe Fregni; Linamara R Battistella
Journal:  Front Hum Neurosci       Date:  2016-08-30       Impact factor: 3.169

Review 5.  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

  5 in total

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