Literature DB >> 28677413

High-Intensity Chronic Stroke Motor Imagery Neurofeedback Training at Home: Three Case Reports.

Catharina Zich1,2, Stefan Debener1,3,4, Clara Schweinitz1, Annette Sterr5, Joost Meekes1, Cornelia Kranczioch1,4.   

Abstract

Motor imagery (MI) with neurofeedback has been suggested as promising for motor recovery after stroke. Evidence suggests that regular training facilitates compensatory plasticity, but frequent training is difficult to integrate into everyday life. Using a wireless electroencephalogram (EEG) system, we implemented a frequent and efficient neurofeedback training at the patients' home. Aiming to overcome maladaptive changes in cortical lateralization patterns we presented a visual feedback, representing the degree of contralateral sensorimotor cortical activity and the degree of sensorimotor cortex lateralization. Three stroke patients practiced every other day, over a period of 4 weeks. Training-related changes were evaluated on behavioral, functional, and structural levels. All 3 patients indicated that they enjoyed the training and were highly motivated throughout the entire training regime. EEG activity induced by MI of the affected hand became more lateralized over the course of training in all three patients. The patient with a significant functional change also showed increased white matter integrity as revealed by diffusion tensor imaging, and a substantial clinical improvement of upper limb motor functions. Our study provides evidence that regular, home-based practice of MI neurofeedback has the potential to facilitate cortical reorganization and may also increase associated improvements of upper limb motor function in chronic stroke patients.

Entities:  

Keywords:  home-based training; mobile EEG; motor imagery; neurofeedback; neurorehabilitation; stroke

Mesh:

Year:  2017        PMID: 28677413     DOI: 10.1177/1550059417717398

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  8 in total

1.  Brain Connectivity Changes During Bimanual and Rotated Motor Imagery.

Authors:  Jung-Tai King; Alka Rachel John; Yu-Kai Wang; Chun-Kai Shih; Dingguo Zhang; Kuan-Chih Huang; Chin-Teng Lin
Journal:  IEEE J Transl Eng Health Med       Date:  2022-04-14

2.  Modulating hemispheric lateralization by brain stimulation yields gain in mental and physical activity.

Authors:  Catharina Zich; Siobhán Harty; Cornelia Kranczioch; Karen L Mansfield; Francesco Sella; Stefan Debener; Roi Cohen Kadosh
Journal:  Sci Rep       Date:  2017-10-18       Impact factor: 4.379

3.  Behavioral Outcomes Following Brain-Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial.

Authors:  Alexander B Remsik; Keith Dodd; Leroy Williams; Jaclyn Thoma; Tyler Jacobson; Janerra D Allen; Hemali Advani; Rosaleena Mohanty; Matt McMillan; Shruti Rajan; Matt Walczak; Brittany M Young; Zack Nigogosyan; Cameron A Rivera; Mohsen Mazrooyisebdani; Neelima Tellapragada; Leo M Walton; Klevest Gjini; Peter L E van Kan; Theresa J Kang; Justin A Sattin; Veena A Nair; Dorothy Farrar Edwards; Justin C Williams; Vivek Prabhakaran
Journal:  Front Neurosci       Date:  2018-11-08       Impact factor: 4.677

Review 4.  Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges.

Authors:  Alex Lau-Zhu; Michael P H Lau; Gráinne McLoughlin
Journal:  Dev Cogn Neurosci       Date:  2019-03-08       Impact factor: 6.464

5.  Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation.

Authors:  Nadine Spychala; Stefan Debener; Edith Bongartz; Helge H O Müller; Jeremy D Thorne; Alexandra Philipsen; Niclas Braun
Journal:  Front Hum Neurosci       Date:  2020-01-20       Impact factor: 3.169

Review 6.  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

7.  Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback.

Authors:  Mareike Daeglau; Frank Wallhoff; Stefan Debener; Ignatius Sapto Condro; Cornelia Kranczioch; Catharina Zich
Journal:  Sensors (Basel)       Date:  2020-03-14       Impact factor: 3.576

8.  Neural Suppression Elicited During Motor Imagery Following the Observation of Biological Motion From Point-Light Walker Stimuli.

Authors:  Alice Grazia; Michael Wimmer; Gernot R Müller-Putz; Selina C Wriessnegger
Journal:  Front Hum Neurosci       Date:  2022-01-07       Impact factor: 3.169

  8 in total

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