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Learned self-regulation of the lesioned brain with epidural electrocorticography

Introduction: Different techniques for neurofeedback of voluntary brain activations are currently being explored for clinical application in brain disorders. One of the most frequently used approaches is the self-regulation of oscillatory signals recorded with electroencephalography (EEG). Many pati...

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Autores principales: Gharabaghi, Alireza, Naros, Georgios, Khademi, Fatemeh, Jesser, Jessica, Spüler, Martin, Walter, Armin, Bogdan, Martin, Rosenstiel, Wolfgang, Birbaumer, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260503/
https://www.ncbi.nlm.nih.gov/pubmed/25538591
http://dx.doi.org/10.3389/fnbeh.2014.00429
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author Gharabaghi, Alireza
Naros, Georgios
Khademi, Fatemeh
Jesser, Jessica
Spüler, Martin
Walter, Armin
Bogdan, Martin
Rosenstiel, Wolfgang
Birbaumer, Niels
author_facet Gharabaghi, Alireza
Naros, Georgios
Khademi, Fatemeh
Jesser, Jessica
Spüler, Martin
Walter, Armin
Bogdan, Martin
Rosenstiel, Wolfgang
Birbaumer, Niels
author_sort Gharabaghi, Alireza
collection PubMed
description Introduction: Different techniques for neurofeedback of voluntary brain activations are currently being explored for clinical application in brain disorders. One of the most frequently used approaches is the self-regulation of oscillatory signals recorded with electroencephalography (EEG). Many patients are, however, unable to achieve sufficient voluntary control of brain activity. This could be due to the specific anatomical and physiological changes of the patient’s brain after the lesion, as well as to methodological issues related to the technique chosen for recording brain signals. Methods: A patient with an extended ischemic lesion of the cortex did not gain volitional control of sensorimotor oscillations when using a standard EEG-based approach. We provided him with neurofeedback of his brain activity from the epidural space by electrocorticography (ECoG). Results: Ipsilesional epidural recordings of field potentials facilitated self-regulation of brain oscillations in an online closed-loop paradigm and allowed reliable neurofeedback training for a period of 4 weeks. Conclusion: Epidural implants may decode and train brain activity even when the cortical physiology is distorted following severe brain injury. Such practice would allow for reinforcement learning of preserved neural networks and may well provide restorative tools for those patients who are severely afflicted.
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spelling pubmed-42605032014-12-23 Learned self-regulation of the lesioned brain with epidural electrocorticography Gharabaghi, Alireza Naros, Georgios Khademi, Fatemeh Jesser, Jessica Spüler, Martin Walter, Armin Bogdan, Martin Rosenstiel, Wolfgang Birbaumer, Niels Front Behav Neurosci Neuroscience Introduction: Different techniques for neurofeedback of voluntary brain activations are currently being explored for clinical application in brain disorders. One of the most frequently used approaches is the self-regulation of oscillatory signals recorded with electroencephalography (EEG). Many patients are, however, unable to achieve sufficient voluntary control of brain activity. This could be due to the specific anatomical and physiological changes of the patient’s brain after the lesion, as well as to methodological issues related to the technique chosen for recording brain signals. Methods: A patient with an extended ischemic lesion of the cortex did not gain volitional control of sensorimotor oscillations when using a standard EEG-based approach. We provided him with neurofeedback of his brain activity from the epidural space by electrocorticography (ECoG). Results: Ipsilesional epidural recordings of field potentials facilitated self-regulation of brain oscillations in an online closed-loop paradigm and allowed reliable neurofeedback training for a period of 4 weeks. Conclusion: Epidural implants may decode and train brain activity even when the cortical physiology is distorted following severe brain injury. Such practice would allow for reinforcement learning of preserved neural networks and may well provide restorative tools for those patients who are severely afflicted. Frontiers Media S.A. 2014-12-09 /pmc/articles/PMC4260503/ /pubmed/25538591 http://dx.doi.org/10.3389/fnbeh.2014.00429 Text en Copyright © 2014 Gharabaghi, Naros, Khademi, Jesser, Spüler, Walter, Bogdan, Rosenstiel and Birbaumer. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Gharabaghi, Alireza
Naros, Georgios
Khademi, Fatemeh
Jesser, Jessica
Spüler, Martin
Walter, Armin
Bogdan, Martin
Rosenstiel, Wolfgang
Birbaumer, Niels
Learned self-regulation of the lesioned brain with epidural electrocorticography
title Learned self-regulation of the lesioned brain with epidural electrocorticography
title_full Learned self-regulation of the lesioned brain with epidural electrocorticography
title_fullStr Learned self-regulation of the lesioned brain with epidural electrocorticography
title_full_unstemmed Learned self-regulation of the lesioned brain with epidural electrocorticography
title_short Learned self-regulation of the lesioned brain with epidural electrocorticography
title_sort learned self-regulation of the lesioned brain with epidural electrocorticography
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260503/
https://www.ncbi.nlm.nih.gov/pubmed/25538591
http://dx.doi.org/10.3389/fnbeh.2014.00429
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