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Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?

Growing evidence supports the idea that the ultimate biofeedback is to reward sensory pleasure (e.g., enhanced visual clarity) in real-time to neural circuits that are associated with a desired performance, such as excellent memory retrieval. Neurofeedback is biofeedback that uses real-time sensory...

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Autores principales: Jiang, Yang, Jessee, William, Hoyng, Stevie, Borhani, Soheil, Liu, Ziming, Zhao, Xiaopeng, Price, Lacey K., High, Walter, Suhl, Jeremiah, Cerel-Suhl, Sylvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995767/
https://www.ncbi.nlm.nih.gov/pubmed/35418848
http://dx.doi.org/10.3389/fnagi.2022.780817
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author Jiang, Yang
Jessee, William
Hoyng, Stevie
Borhani, Soheil
Liu, Ziming
Zhao, Xiaopeng
Price, Lacey K.
High, Walter
Suhl, Jeremiah
Cerel-Suhl, Sylvia
author_facet Jiang, Yang
Jessee, William
Hoyng, Stevie
Borhani, Soheil
Liu, Ziming
Zhao, Xiaopeng
Price, Lacey K.
High, Walter
Suhl, Jeremiah
Cerel-Suhl, Sylvia
author_sort Jiang, Yang
collection PubMed
description Growing evidence supports the idea that the ultimate biofeedback is to reward sensory pleasure (e.g., enhanced visual clarity) in real-time to neural circuits that are associated with a desired performance, such as excellent memory retrieval. Neurofeedback is biofeedback that uses real-time sensory reward to brain activity associated with a certain performance (e.g., accurate and fast recall). Working memory is a key component of human intelligence. The challenges are in our current limited understanding of neurocognitive dysfunctions as well as in technical difficulties for closed-loop feedback in true real-time. Here we review recent advancements of real time neurofeedback to improve memory training in healthy young and older adults. With new advancements in neuromarkers of specific neurophysiological functions, neurofeedback training should be better targeted beyond a single frequency approach to include frequency interactions and event-related potentials. Our review confirms the positive trend that neurofeedback training mostly works to improve memory and cognition to some extent in most studies. Yet, the training typically takes multiple weeks with 2–3 sessions per week. We review various neurofeedback reward strategies and outcome measures. A well-known issue in such training is that some people simply do not respond to neurofeedback. Thus, we also review the literature of individual differences in psychological factors e.g., placebo effects and so-called “BCI illiteracy” (Brain Computer Interface illiteracy). We recommend the use of Neural modulation sensitivity or BCI insensitivity in the neurofeedback literature. Future directions include much needed research in mild cognitive impairment, in non-Alzheimer’s dementia populations, and neurofeedback using EEG features during resting and sleep for memory enhancement and as sensitive outcome measures.
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spelling pubmed-89957672022-04-12 Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work? Jiang, Yang Jessee, William Hoyng, Stevie Borhani, Soheil Liu, Ziming Zhao, Xiaopeng Price, Lacey K. High, Walter Suhl, Jeremiah Cerel-Suhl, Sylvia Front Aging Neurosci Neuroscience Growing evidence supports the idea that the ultimate biofeedback is to reward sensory pleasure (e.g., enhanced visual clarity) in real-time to neural circuits that are associated with a desired performance, such as excellent memory retrieval. Neurofeedback is biofeedback that uses real-time sensory reward to brain activity associated with a certain performance (e.g., accurate and fast recall). Working memory is a key component of human intelligence. The challenges are in our current limited understanding of neurocognitive dysfunctions as well as in technical difficulties for closed-loop feedback in true real-time. Here we review recent advancements of real time neurofeedback to improve memory training in healthy young and older adults. With new advancements in neuromarkers of specific neurophysiological functions, neurofeedback training should be better targeted beyond a single frequency approach to include frequency interactions and event-related potentials. Our review confirms the positive trend that neurofeedback training mostly works to improve memory and cognition to some extent in most studies. Yet, the training typically takes multiple weeks with 2–3 sessions per week. We review various neurofeedback reward strategies and outcome measures. A well-known issue in such training is that some people simply do not respond to neurofeedback. Thus, we also review the literature of individual differences in psychological factors e.g., placebo effects and so-called “BCI illiteracy” (Brain Computer Interface illiteracy). We recommend the use of Neural modulation sensitivity or BCI insensitivity in the neurofeedback literature. Future directions include much needed research in mild cognitive impairment, in non-Alzheimer’s dementia populations, and neurofeedback using EEG features during resting and sleep for memory enhancement and as sensitive outcome measures. Frontiers Media S.A. 2022-03-28 /pmc/articles/PMC8995767/ /pubmed/35418848 http://dx.doi.org/10.3389/fnagi.2022.780817 Text en Copyright © 2022 Jiang, Jessee, Hoyng, Borhani, Liu, Zhao, Price, High, Suhl and Cerel-Suhl. https://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 or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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
Jiang, Yang
Jessee, William
Hoyng, Stevie
Borhani, Soheil
Liu, Ziming
Zhao, Xiaopeng
Price, Lacey K.
High, Walter
Suhl, Jeremiah
Cerel-Suhl, Sylvia
Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?
title Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?
title_full Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?
title_fullStr Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?
title_full_unstemmed Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?
title_short Sharpening Working Memory With Real-Time Electrophysiological Brain Signals: Which Neurofeedback Paradigms Work?
title_sort sharpening working memory with real-time electrophysiological brain signals: which neurofeedback paradigms work?
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995767/
https://www.ncbi.nlm.nih.gov/pubmed/35418848
http://dx.doi.org/10.3389/fnagi.2022.780817
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