Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study

Neurofeedback is a form of neuromodulation based on learning to modify some aspects of cortical activity. Sensorimotor rhythm (SMR) oscillation is one of the most used frequency bands in neurofeedback. Several studies have shown that subjects can learn to modulate SMR power to control output devices...

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Main Authors: Juan L. Terrasa, Guzmán Alba, Ignacio Cifre, Beatriz Rey, Pedro Montoya, Miguel A. Muñoz
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2019/7647204
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author Juan L. Terrasa
Guzmán Alba
Ignacio Cifre
Beatriz Rey
Pedro Montoya
Miguel A. Muñoz
author_facet Juan L. Terrasa
Guzmán Alba
Ignacio Cifre
Beatriz Rey
Pedro Montoya
Miguel A. Muñoz
author_sort Juan L. Terrasa
collection DOAJ
description Neurofeedback is a form of neuromodulation based on learning to modify some aspects of cortical activity. Sensorimotor rhythm (SMR) oscillation is one of the most used frequency bands in neurofeedback. Several studies have shown that subjects can learn to modulate SMR power to control output devices, but little is known about possible related changes in brain networks. The aim of this study was to investigate the enhanced performance and changes in EEG power spectral density at somatosensory cerebral areas due to a bidirectional modulation-based SMR neurofeedback training. Furthermore, we also analyzed the functional changes in somatosensory areas during resting state induced by the training as exploratory procedure. A six-session neurofeedback protocol based on learning to synchronize and desynchronize (modulate) the SMR was implemented. Moreover, half of the participants were enrolled in two functional magnetic resonance imaging resting-state sessions (before and after the training). At the end of the training, participants showed a successful performance enhancement, an increase in SMR power specific to somatosensory locations, and higher functional connectivity between areas associated with somatosensory activity in resting state. Our research increases the better understanding of the relation between EEG neuromodulation and functional changes and the use of SMR training in clinical practice.
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series Neural Plasticity
spelling doaj-art-2cbbe02fe66a4b33911404f6d41376b72025-02-03T01:31:42ZengWileyNeural Plasticity2090-59041687-54432019-01-01201910.1155/2019/76472047647204Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary StudyJuan L. Terrasa0Guzmán Alba1Ignacio Cifre2Beatriz Rey3Pedro Montoya4Miguel A. Muñoz5Research Institute on Health Sciences (IUNICS), University of Balearic Islands, 07122 Palma, SpainBrain, Mind and Behavior Research Center, University of Granada (CIMCYC-UGR), 18011 Granada, SpainUniversity Ramon Llull, Blanquerna, FPCEE, 08022 Barcelona, SpainDepartamento de Ingeniería Gráfica, Universitat Politècnica de València, 46022 Valencia, SpainResearch Institute on Health Sciences (IUNICS), University of Balearic Islands, 07122 Palma, SpainBrain, Mind and Behavior Research Center, University of Granada (CIMCYC-UGR), 18011 Granada, SpainNeurofeedback is a form of neuromodulation based on learning to modify some aspects of cortical activity. Sensorimotor rhythm (SMR) oscillation is one of the most used frequency bands in neurofeedback. Several studies have shown that subjects can learn to modulate SMR power to control output devices, but little is known about possible related changes in brain networks. The aim of this study was to investigate the enhanced performance and changes in EEG power spectral density at somatosensory cerebral areas due to a bidirectional modulation-based SMR neurofeedback training. Furthermore, we also analyzed the functional changes in somatosensory areas during resting state induced by the training as exploratory procedure. A six-session neurofeedback protocol based on learning to synchronize and desynchronize (modulate) the SMR was implemented. Moreover, half of the participants were enrolled in two functional magnetic resonance imaging resting-state sessions (before and after the training). At the end of the training, participants showed a successful performance enhancement, an increase in SMR power specific to somatosensory locations, and higher functional connectivity between areas associated with somatosensory activity in resting state. Our research increases the better understanding of the relation between EEG neuromodulation and functional changes and the use of SMR training in clinical practice.http://dx.doi.org/10.1155/2019/7647204
spellingShingle Juan L. Terrasa
Guzmán Alba
Ignacio Cifre
Beatriz Rey
Pedro Montoya
Miguel A. Muñoz
Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study
Neural Plasticity
title Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study
title_full Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study
title_fullStr Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study
title_full_unstemmed Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study
title_short Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study
title_sort power spectral density and functional connectivity changes due to a sensorimotor neurofeedback training a preliminary study
url http://dx.doi.org/10.1155/2019/7647204
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