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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Neurologic disorders are characterized by abnormal cellular-, molecular-, and circuit-level functions in the brain. New methods to induce and control neuroplastic processes and correct abnormal function, or even shift functions from damaged tissue to physiologically healthy brain regions, hold the p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614365/ https://www.ncbi.nlm.nih.gov/pubmed/28872110 http://dx.doi.org/10.3791/55543 |
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author | Sherwood, Matthew S. Diller, Emily E. Ey, Elizabeth Ganapathy, Subhashini Nelson, Jeremy T. Parker, Jason G. |
author_facet | Sherwood, Matthew S. Diller, Emily E. Ey, Elizabeth Ganapathy, Subhashini Nelson, Jeremy T. Parker, Jason G. |
author_sort | Sherwood, Matthew S. |
collection | PubMed |
description | Neurologic disorders are characterized by abnormal cellular-, molecular-, and circuit-level functions in the brain. New methods to induce and control neuroplastic processes and correct abnormal function, or even shift functions from damaged tissue to physiologically healthy brain regions, hold the potential to dramatically improve overall health. Of the current neuroplastic interventions in development, neurofeedback training (NFT) from functional Magnetic Resonance Imaging (fMRI) has the advantages of being completely non-invasive, non-pharmacologic, and spatially localized to target brain regions, as well as having no known side effects. Furthermore, NFT techniques, initially developed using fMRI, can often be translated to exercises that can be performed outside of the scanner without the aid of medical professionals or sophisticated medical equipment. In fMRI NFT, the fMRI signal is measured from specific regions of the brain, processed, and presented to the participant in real-time. Through training, self-directed mental processing techniques, that regulate this signal and its underlying neurophysiologic correlates, are developed. FMRI NFT has been used to train volitional control over a wide range of brain regions with implications for several different cognitive, behavioral, and motor systems. Additionally, fMRI NFT has shown promise in a broad range of applications such as the treatment of neurologic disorders and the augmentation of baseline human performance. In this article, we present an fMRI NFT protocol developed at our institution for modulation of both healthy and abnormal brain function, as well as examples of using the method to target both cognitive and auditory regions of the brain. |
format | Online Article Text |
id | pubmed-5614365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-56143652017-10-10 A Protocol for the Administration of Real-Time fMRI Neurofeedback Training Sherwood, Matthew S. Diller, Emily E. Ey, Elizabeth Ganapathy, Subhashini Nelson, Jeremy T. Parker, Jason G. J Vis Exp Neuroscience Neurologic disorders are characterized by abnormal cellular-, molecular-, and circuit-level functions in the brain. New methods to induce and control neuroplastic processes and correct abnormal function, or even shift functions from damaged tissue to physiologically healthy brain regions, hold the potential to dramatically improve overall health. Of the current neuroplastic interventions in development, neurofeedback training (NFT) from functional Magnetic Resonance Imaging (fMRI) has the advantages of being completely non-invasive, non-pharmacologic, and spatially localized to target brain regions, as well as having no known side effects. Furthermore, NFT techniques, initially developed using fMRI, can often be translated to exercises that can be performed outside of the scanner without the aid of medical professionals or sophisticated medical equipment. In fMRI NFT, the fMRI signal is measured from specific regions of the brain, processed, and presented to the participant in real-time. Through training, self-directed mental processing techniques, that regulate this signal and its underlying neurophysiologic correlates, are developed. FMRI NFT has been used to train volitional control over a wide range of brain regions with implications for several different cognitive, behavioral, and motor systems. Additionally, fMRI NFT has shown promise in a broad range of applications such as the treatment of neurologic disorders and the augmentation of baseline human performance. In this article, we present an fMRI NFT protocol developed at our institution for modulation of both healthy and abnormal brain function, as well as examples of using the method to target both cognitive and auditory regions of the brain. MyJove Corporation 2017-08-24 /pmc/articles/PMC5614365/ /pubmed/28872110 http://dx.doi.org/10.3791/55543 Text en Copyright © 2017, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Neuroscience Sherwood, Matthew S. Diller, Emily E. Ey, Elizabeth Ganapathy, Subhashini Nelson, Jeremy T. Parker, Jason G. A Protocol for the Administration of Real-Time fMRI Neurofeedback Training |
title | A Protocol for the Administration of Real-Time fMRI Neurofeedback Training |
title_full | A Protocol for the Administration of Real-Time fMRI Neurofeedback Training |
title_fullStr | A Protocol for the Administration of Real-Time fMRI Neurofeedback Training |
title_full_unstemmed | A Protocol for the Administration of Real-Time fMRI Neurofeedback Training |
title_short | A Protocol for the Administration of Real-Time fMRI Neurofeedback Training |
title_sort | protocol for the administration of real-time fmri neurofeedback training |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614365/ https://www.ncbi.nlm.nih.gov/pubmed/28872110 http://dx.doi.org/10.3791/55543 |
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