Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study
Introduction: Neurofeedback training aims at learning self-regulation of brain activity underlying cognitive, emotional or physiological functions. Despite of promising investigations on neurofeedback as a tool for cognitive rehabilitation in neurological diseases, such as after stroke, there is sti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-07-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00348/full |
| _version_ | 1818772007877083136 |
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| author | Johanna Louise Reichert Johanna Louise Reichert Silvia Erika Kober Silvia Erika Kober Daniela Schweiger Peter Grieshofer Christa Neuper Guilherme Wood |
| author_facet | Johanna Louise Reichert Johanna Louise Reichert Silvia Erika Kober Silvia Erika Kober Daniela Schweiger Peter Grieshofer Christa Neuper Guilherme Wood |
| author_sort | Johanna Louise Reichert |
| collection | DOAJ |
| description | Introduction: Neurofeedback training aims at learning self-regulation of brain activity underlying cognitive, emotional or physiological functions. Despite of promising investigations on neurofeedback as a tool for cognitive rehabilitation in neurological diseases, such as after stroke, there is still a lack of research on feasibility and efficiency of neurofeedback in this field. Methods: The present study aimed at investigating behavioral and electrophysiological effects of 10 sessions of sensorimotor rhythm (SMR) neurofeedback in a 74-year-old stroke patient (UG20). Based on previous results in healthy young participants, we hypothesized that SMR neurofeedback leads to a decrease in sensorimotor interferences and improved stimulus processing, reflected by changes in event-related potentials and electrophysiological coherence. To assess whether UG20 benefited from the training as much as healthy persons of a similar age, a healthy control group of N = 10 elderly persons was trained as well. Before and after neurofeedback training, participants took part in a multichannel EEG measurement conducted during a nonverbal and a verbal learning task. Results: Both UG20 and the healthy controls were able to regulate their SMR activity during neurofeedback training. Moreover, in a nonverbal learning task, changes in event-related potentials and coherence were observed after training: UG20 showed a better performance in the nonverbal learning task and a higher P3 amplitude after training than before, and coherence between central and parietal electrodes decreased after training. The control group also showed a behavioral improvement in the nonverbal learning task and tendencies for higher P3 amplitudes and decreased central-parietal coherence after training. Single-case analyses indicated that the changes observed in UG20 were not smaller than the changes in healthy controls. Conclusions: Neurofeedback can be successfully applied in a stroke patient and in healthy elderly persons. We suggest that SMR neurofeedback leads to a shutting-down of sensorimotor interferences which benefits semantic encoding and retrieval. |
| first_indexed | 2024-12-18T10:02:31Z |
| format | Article |
| id | doaj.art-05bdd794a9c34377a28139e72bb29233 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-18T10:02:31Z |
| publishDate | 2016-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-05bdd794a9c34377a28139e72bb292332022-12-21T21:11:37ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612016-07-011010.3389/fnhum.2016.00348197216Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback studyJohanna Louise Reichert0Johanna Louise Reichert1Silvia Erika Kober2Silvia Erika Kober3Daniela Schweiger4Peter Grieshofer5Christa Neuper6Guilherme Wood7University of GrazBioTechMed GrazUniversity of GrazBioTechMed GrazUniversity of GrazKlinik Judendorf-StraßengelUniversity of GrazUniversity of GrazIntroduction: Neurofeedback training aims at learning self-regulation of brain activity underlying cognitive, emotional or physiological functions. Despite of promising investigations on neurofeedback as a tool for cognitive rehabilitation in neurological diseases, such as after stroke, there is still a lack of research on feasibility and efficiency of neurofeedback in this field. Methods: The present study aimed at investigating behavioral and electrophysiological effects of 10 sessions of sensorimotor rhythm (SMR) neurofeedback in a 74-year-old stroke patient (UG20). Based on previous results in healthy young participants, we hypothesized that SMR neurofeedback leads to a decrease in sensorimotor interferences and improved stimulus processing, reflected by changes in event-related potentials and electrophysiological coherence. To assess whether UG20 benefited from the training as much as healthy persons of a similar age, a healthy control group of N = 10 elderly persons was trained as well. Before and after neurofeedback training, participants took part in a multichannel EEG measurement conducted during a nonverbal and a verbal learning task. Results: Both UG20 and the healthy controls were able to regulate their SMR activity during neurofeedback training. Moreover, in a nonverbal learning task, changes in event-related potentials and coherence were observed after training: UG20 showed a better performance in the nonverbal learning task and a higher P3 amplitude after training than before, and coherence between central and parietal electrodes decreased after training. The control group also showed a behavioral improvement in the nonverbal learning task and tendencies for higher P3 amplitudes and decreased central-parietal coherence after training. Single-case analyses indicated that the changes observed in UG20 were not smaller than the changes in healthy controls. Conclusions: Neurofeedback can be successfully applied in a stroke patient and in healthy elderly persons. We suggest that SMR neurofeedback leads to a shutting-down of sensorimotor interferences which benefits semantic encoding and retrieval.http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00348/fullAgingMemoryNeurofeedbackStrokeSensorimotor Rhythm |
| spellingShingle | Johanna Louise Reichert Johanna Louise Reichert Silvia Erika Kober Silvia Erika Kober Daniela Schweiger Peter Grieshofer Christa Neuper Guilherme Wood Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study Frontiers in Human Neuroscience Aging Memory Neurofeedback Stroke Sensorimotor Rhythm |
| title | Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study |
| title_full | Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study |
| title_fullStr | Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study |
| title_full_unstemmed | Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study |
| title_short | Shutting down sensorimotor interferences after stroke: A proof-of-principle SMR neurofeedback study |
| title_sort | shutting down sensorimotor interferences after stroke a proof of principle smr neurofeedback study |
| topic | Aging Memory Neurofeedback Stroke Sensorimotor Rhythm |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00348/full |
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