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Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study
BACKGROUND: Chronic insomnia disorder (CID) is considered a major public health problem worldwide. Therefore, innovative and effective technical methods for studying the pathogenesis and clinical comprehensive treatment of CID are urgently needed. METHODS: Real-time fMRI neurofeedback (rtfMRI-NF), a...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904428/ https://www.ncbi.nlm.nih.gov/pubmed/35283729 http://dx.doi.org/10.3389/fnmol.2022.825286 |
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author | Li, Xiaodong Li, Zhonglin Zou, Zhi Wu, Xiaolin Gao, Hui Wang, Caiyun Zhou, Jing Qi, Fei Zhang, Miao He, Junya Qi, Xin Yan, Fengshan Dou, Shewei Zhang, Hongju Tong, Li Li, Yongli |
author_facet | Li, Xiaodong Li, Zhonglin Zou, Zhi Wu, Xiaolin Gao, Hui Wang, Caiyun Zhou, Jing Qi, Fei Zhang, Miao He, Junya Qi, Xin Yan, Fengshan Dou, Shewei Zhang, Hongju Tong, Li Li, Yongli |
author_sort | Li, Xiaodong |
collection | PubMed |
description | BACKGROUND: Chronic insomnia disorder (CID) is considered a major public health problem worldwide. Therefore, innovative and effective technical methods for studying the pathogenesis and clinical comprehensive treatment of CID are urgently needed. METHODS: Real-time fMRI neurofeedback (rtfMRI-NF), a new intervention, was used to train 28 patients with CID to regulate their amygdala activity for three sessions in 6 weeks. Resting-state fMRI data were collected before and after training. Then, voxel-based degree centrality (DC) method was used to explore the effect of rtfMRI-NF training. For regions with altered DC, we determined the specific connections to other regions that most strongly contributed to altered functional networks based on DC. Furthermore, the relationships between the DC value of the altered regions and changes in clinical variables were determined. RESULTS: Patients with CID showed increased DC in the right postcentral gyrus, Rolandic operculum, insula, and superior parietal gyrus and decreased DC in the right supramarginal gyrus, inferior parietal gyrus, angular gyrus, middle occipital gyrus, and middle temporal gyrus. Seed-based functional connectivity analyses based on the altered DC regions showed more details about the altered functional networks. Clinical scores in Pittsburgh sleep quality index, insomnia severity index (ISI), Beck depression inventory, and Hamilton anxiety scale decreased. Furthermore, a remarkable positive correlation was found between the changed ISI score and DC values of the right insula. CONCLUSIONS: This study confirmed that amygdala-based rtfMRI-NF training altered the intrinsic functional hubs, which reshaped the abnormal functional connections caused by insomnia and improved the sleep of patients with CID. These findings contribute to our understanding of the neurobiological mechanism of rtfMRI-NF in insomnia treatment. However, additional double-blinded controlled clinical trials with larger sample sizes need to be conducted to confirm the effect of rtfMRI-NF from this initial study. |
format | Online Article Text |
id | pubmed-8904428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89044282022-03-10 Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study Li, Xiaodong Li, Zhonglin Zou, Zhi Wu, Xiaolin Gao, Hui Wang, Caiyun Zhou, Jing Qi, Fei Zhang, Miao He, Junya Qi, Xin Yan, Fengshan Dou, Shewei Zhang, Hongju Tong, Li Li, Yongli Front Mol Neurosci Neuroscience BACKGROUND: Chronic insomnia disorder (CID) is considered a major public health problem worldwide. Therefore, innovative and effective technical methods for studying the pathogenesis and clinical comprehensive treatment of CID are urgently needed. METHODS: Real-time fMRI neurofeedback (rtfMRI-NF), a new intervention, was used to train 28 patients with CID to regulate their amygdala activity for three sessions in 6 weeks. Resting-state fMRI data were collected before and after training. Then, voxel-based degree centrality (DC) method was used to explore the effect of rtfMRI-NF training. For regions with altered DC, we determined the specific connections to other regions that most strongly contributed to altered functional networks based on DC. Furthermore, the relationships between the DC value of the altered regions and changes in clinical variables were determined. RESULTS: Patients with CID showed increased DC in the right postcentral gyrus, Rolandic operculum, insula, and superior parietal gyrus and decreased DC in the right supramarginal gyrus, inferior parietal gyrus, angular gyrus, middle occipital gyrus, and middle temporal gyrus. Seed-based functional connectivity analyses based on the altered DC regions showed more details about the altered functional networks. Clinical scores in Pittsburgh sleep quality index, insomnia severity index (ISI), Beck depression inventory, and Hamilton anxiety scale decreased. Furthermore, a remarkable positive correlation was found between the changed ISI score and DC values of the right insula. CONCLUSIONS: This study confirmed that amygdala-based rtfMRI-NF training altered the intrinsic functional hubs, which reshaped the abnormal functional connections caused by insomnia and improved the sleep of patients with CID. These findings contribute to our understanding of the neurobiological mechanism of rtfMRI-NF in insomnia treatment. However, additional double-blinded controlled clinical trials with larger sample sizes need to be conducted to confirm the effect of rtfMRI-NF from this initial study. Frontiers Media S.A. 2022-02-23 /pmc/articles/PMC8904428/ /pubmed/35283729 http://dx.doi.org/10.3389/fnmol.2022.825286 Text en Copyright © 2022 Li, Li, Zou, Wu, Gao, Wang, Zhou, Qi, Zhang, He, Qi, Yan, Dou, Zhang, Tong and Li. 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 Li, Xiaodong Li, Zhonglin Zou, Zhi Wu, Xiaolin Gao, Hui Wang, Caiyun Zhou, Jing Qi, Fei Zhang, Miao He, Junya Qi, Xin Yan, Fengshan Dou, Shewei Zhang, Hongju Tong, Li Li, Yongli Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study |
title | Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study |
title_full | Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study |
title_fullStr | Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study |
title_full_unstemmed | Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study |
title_short | Real-Time fMRI Neurofeedback Training Changes Brain Degree Centrality and Improves Sleep in Chronic Insomnia Disorder: A Resting-State fMRI Study |
title_sort | real-time fmri neurofeedback training changes brain degree centrality and improves sleep in chronic insomnia disorder: a resting-state fmri study |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904428/ https://www.ncbi.nlm.nih.gov/pubmed/35283729 http://dx.doi.org/10.3389/fnmol.2022.825286 |
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