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Resting state functional connectivity predicts neurofeedback response

Tailoring treatments to the specific needs and biology of individual patients—personalized medicine—requires delineation of reliable predictors of response. Unfortunately, these have been slow to emerge, especially in neuropsychiatric disorders. We have recently described a real-time functional magn...

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Autores principales: Scheinost, Dustin, Stoica, Teodora, Wasylink, Suzanne, Gruner, Patricia, Saksa, John, Pittenger, Christopher, Hampson, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173810/
https://www.ncbi.nlm.nih.gov/pubmed/25309375
http://dx.doi.org/10.3389/fnbeh.2014.00338
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author Scheinost, Dustin
Stoica, Teodora
Wasylink, Suzanne
Gruner, Patricia
Saksa, John
Pittenger, Christopher
Hampson, Michelle
author_facet Scheinost, Dustin
Stoica, Teodora
Wasylink, Suzanne
Gruner, Patricia
Saksa, John
Pittenger, Christopher
Hampson, Michelle
author_sort Scheinost, Dustin
collection PubMed
description Tailoring treatments to the specific needs and biology of individual patients—personalized medicine—requires delineation of reliable predictors of response. Unfortunately, these have been slow to emerge, especially in neuropsychiatric disorders. We have recently described a real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback protocol that can reduce contamination-related anxiety, a prominent symptom of many cases of obsessive-compulsive disorder (OCD). Individual response to this intervention is variable. Here we used patterns of brain functional connectivity, as measured by baseline resting-state fMRI (rs-fMRI), to predict improvements in contamination anxiety after neurofeedback training. Activity of a region of the orbitofrontal cortex (OFC) and anterior prefrontal cortex, Brodmann area (BA) 10, associated with contamination anxiety in each subject was measured in real time and presented as a neurofeedback signal, permitting subjects to learn to modulate this target brain region. We have previously reported both enhanced OFC/BA 10 control and improved anxiety in a group of subclinically anxious subjects after neurofeedback. Five individuals with contamination-related OCD who underwent the same protocol also showed improved clinical symptomatology. In both groups, these behavioral improvements were strongly correlated with baseline whole-brain connectivity in the OFC/BA 10, computed from rs-fMRI collected several days prior to neurofeedback training. These pilot data suggest that rs-fMRI can be used to identify individuals likely to benefit from rt-fMRI neurofeedback training to control contamination anxiety.
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spelling pubmed-41738102014-10-10 Resting state functional connectivity predicts neurofeedback response Scheinost, Dustin Stoica, Teodora Wasylink, Suzanne Gruner, Patricia Saksa, John Pittenger, Christopher Hampson, Michelle Front Behav Neurosci Neuroscience Tailoring treatments to the specific needs and biology of individual patients—personalized medicine—requires delineation of reliable predictors of response. Unfortunately, these have been slow to emerge, especially in neuropsychiatric disorders. We have recently described a real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback protocol that can reduce contamination-related anxiety, a prominent symptom of many cases of obsessive-compulsive disorder (OCD). Individual response to this intervention is variable. Here we used patterns of brain functional connectivity, as measured by baseline resting-state fMRI (rs-fMRI), to predict improvements in contamination anxiety after neurofeedback training. Activity of a region of the orbitofrontal cortex (OFC) and anterior prefrontal cortex, Brodmann area (BA) 10, associated with contamination anxiety in each subject was measured in real time and presented as a neurofeedback signal, permitting subjects to learn to modulate this target brain region. We have previously reported both enhanced OFC/BA 10 control and improved anxiety in a group of subclinically anxious subjects after neurofeedback. Five individuals with contamination-related OCD who underwent the same protocol also showed improved clinical symptomatology. In both groups, these behavioral improvements were strongly correlated with baseline whole-brain connectivity in the OFC/BA 10, computed from rs-fMRI collected several days prior to neurofeedback training. These pilot data suggest that rs-fMRI can be used to identify individuals likely to benefit from rt-fMRI neurofeedback training to control contamination anxiety. Frontiers Media S.A. 2014-09-24 /pmc/articles/PMC4173810/ /pubmed/25309375 http://dx.doi.org/10.3389/fnbeh.2014.00338 Text en Copyright © 2014 Scheinost, Stoica, Wasylink, Gruner, Saksa, Pittenger and Hampson. 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
Scheinost, Dustin
Stoica, Teodora
Wasylink, Suzanne
Gruner, Patricia
Saksa, John
Pittenger, Christopher
Hampson, Michelle
Resting state functional connectivity predicts neurofeedback response
title Resting state functional connectivity predicts neurofeedback response
title_full Resting state functional connectivity predicts neurofeedback response
title_fullStr Resting state functional connectivity predicts neurofeedback response
title_full_unstemmed Resting state functional connectivity predicts neurofeedback response
title_short Resting state functional connectivity predicts neurofeedback response
title_sort resting state functional connectivity predicts neurofeedback response
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173810/
https://www.ncbi.nlm.nih.gov/pubmed/25309375
http://dx.doi.org/10.3389/fnbeh.2014.00338
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