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Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain

Cognitive decline is a major concern in the aging population. It is normative to experience some deterioration in cognitive abilities with advanced age such as related to memory performance, attention distraction to interference, task switching, and processing speed. However, intact cognitive functi...

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Autores principales: Rana, Mohit, Varan, Andrew Q., Davoudi, Anis, Cohen, Ronald A., Sitaram, Ranganatha, Ebner, Natalie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067937/
https://www.ncbi.nlm.nih.gov/pubmed/27803662
http://dx.doi.org/10.3389/fnagi.2016.00239
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author Rana, Mohit
Varan, Andrew Q.
Davoudi, Anis
Cohen, Ronald A.
Sitaram, Ranganatha
Ebner, Natalie C.
author_facet Rana, Mohit
Varan, Andrew Q.
Davoudi, Anis
Cohen, Ronald A.
Sitaram, Ranganatha
Ebner, Natalie C.
author_sort Rana, Mohit
collection PubMed
description Cognitive decline is a major concern in the aging population. It is normative to experience some deterioration in cognitive abilities with advanced age such as related to memory performance, attention distraction to interference, task switching, and processing speed. However, intact cognitive functioning in old age is important for leading an independent day-to-day life. Thus, studying ways to counteract or delay the onset of cognitive decline in aging is crucial. The literature offers various explanations for the decline in cognitive performance in aging; among those are age-related gray and white matter atrophy, synaptic degeneration, blood flow reduction, neurochemical alterations, and change in connectivity patterns with advanced age. An emerging literature on neurofeedback and Brain Computer Interface (BCI) reports exciting results supporting the benefits of volitional modulation of brain activity on cognition and behavior. Neurofeedback studies based on real-time functional magnetic resonance imaging (rtfMRI) have shown behavioral changes in schizophrenia and behavioral benefits in nicotine addiction. This article integrates research on cognitive and brain aging with evidence of brain and behavioral modification due to rtfMRI neurofeedback. We offer a state-of-the-art description of the rtfMRI technique with an eye towards its application in aging. We present preliminary results of a feasibility study exploring the possibility of using rtfMRI to train older adults to volitionally control brain activity. Based on these first findings, we discuss possible implementations of rtfMRI neurofeedback as a novel technique to study and alleviate cognitive decline in healthy and pathological aging.
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spelling pubmed-50679372016-11-01 Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain Rana, Mohit Varan, Andrew Q. Davoudi, Anis Cohen, Ronald A. Sitaram, Ranganatha Ebner, Natalie C. Front Aging Neurosci Neuroscience Cognitive decline is a major concern in the aging population. It is normative to experience some deterioration in cognitive abilities with advanced age such as related to memory performance, attention distraction to interference, task switching, and processing speed. However, intact cognitive functioning in old age is important for leading an independent day-to-day life. Thus, studying ways to counteract or delay the onset of cognitive decline in aging is crucial. The literature offers various explanations for the decline in cognitive performance in aging; among those are age-related gray and white matter atrophy, synaptic degeneration, blood flow reduction, neurochemical alterations, and change in connectivity patterns with advanced age. An emerging literature on neurofeedback and Brain Computer Interface (BCI) reports exciting results supporting the benefits of volitional modulation of brain activity on cognition and behavior. Neurofeedback studies based on real-time functional magnetic resonance imaging (rtfMRI) have shown behavioral changes in schizophrenia and behavioral benefits in nicotine addiction. This article integrates research on cognitive and brain aging with evidence of brain and behavioral modification due to rtfMRI neurofeedback. We offer a state-of-the-art description of the rtfMRI technique with an eye towards its application in aging. We present preliminary results of a feasibility study exploring the possibility of using rtfMRI to train older adults to volitionally control brain activity. Based on these first findings, we discuss possible implementations of rtfMRI neurofeedback as a novel technique to study and alleviate cognitive decline in healthy and pathological aging. Frontiers Media S.A. 2016-10-18 /pmc/articles/PMC5067937/ /pubmed/27803662 http://dx.doi.org/10.3389/fnagi.2016.00239 Text en Copyright © 2016 Rana, Varan, Davoudi, Cohen, Sitaram and Ebner. 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
Rana, Mohit
Varan, Andrew Q.
Davoudi, Anis
Cohen, Ronald A.
Sitaram, Ranganatha
Ebner, Natalie C.
Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain
title Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain
title_full Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain
title_fullStr Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain
title_full_unstemmed Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain
title_short Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain
title_sort real-time fmri in neuroscience research and its use in studying the aging brain
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5067937/
https://www.ncbi.nlm.nih.gov/pubmed/27803662
http://dx.doi.org/10.3389/fnagi.2016.00239
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