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Focal application of accelerated iTBS results in global changes in graph measures
Graph analysis was used to study the effects of accelerated intermittent theta burst stimulation (aiTBS) on the brain's network topology in medication‐resistant depressed patients. Anatomical and resting‐state functional MRI (rs‐fMRI) was recorded at baseline and after sham and verum stimulatio...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585849/ https://www.ncbi.nlm.nih.gov/pubmed/30273448 http://dx.doi.org/10.1002/hbm.24384 |
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author | Klooster, Deborah C. W. Franklin, Suzanne L. Besseling, René M. H. Jansen, Jaap F. A. Caeyenberghs, Karen Duprat, Romain Aldenkamp, Albert P. de Louw, Anton J. A. Boon, Paul A. J. M. Baeken, Chris |
author_facet | Klooster, Deborah C. W. Franklin, Suzanne L. Besseling, René M. H. Jansen, Jaap F. A. Caeyenberghs, Karen Duprat, Romain Aldenkamp, Albert P. de Louw, Anton J. A. Boon, Paul A. J. M. Baeken, Chris |
author_sort | Klooster, Deborah C. W. |
collection | PubMed |
description | Graph analysis was used to study the effects of accelerated intermittent theta burst stimulation (aiTBS) on the brain's network topology in medication‐resistant depressed patients. Anatomical and resting‐state functional MRI (rs‐fMRI) was recorded at baseline and after sham and verum stimulation. Depression severity was assessed using the Hamilton Depression Rating Scale (HDRS). Using various graph measures, the different effects of sham and verum aiTBS were calculated. It was also investigated whether changes in graph measures were correlated to clinical responses. Furthermore, by correlating baseline graph measures with the changes in HDRS in terms of percentage, the potential of graph measures as biomarker was studied. Although no differences were observed between the effects of verum and sham stimulation on whole‐brain graph measures and changes in graph measures did not correlate with clinical response, the baseline values of clustering coefficient and global efficiency showed to be predictive of the clinical response to verum aiTBS. Nodal effects were found throughout the whole brain. The distribution of these effects could not be linked to the strength of the functional connectivity between the stimulation site and the node. This study showed that the effects of aiTBS on graph measures distribute beyond the actual stimulation site. However, additional research into the complex interactions between different areas in the brain is necessary to understand the effects of aiTBS in more detail. |
format | Online Article Text |
id | pubmed-6585849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65858492019-06-27 Focal application of accelerated iTBS results in global changes in graph measures Klooster, Deborah C. W. Franklin, Suzanne L. Besseling, René M. H. Jansen, Jaap F. A. Caeyenberghs, Karen Duprat, Romain Aldenkamp, Albert P. de Louw, Anton J. A. Boon, Paul A. J. M. Baeken, Chris Hum Brain Mapp Research Articles Graph analysis was used to study the effects of accelerated intermittent theta burst stimulation (aiTBS) on the brain's network topology in medication‐resistant depressed patients. Anatomical and resting‐state functional MRI (rs‐fMRI) was recorded at baseline and after sham and verum stimulation. Depression severity was assessed using the Hamilton Depression Rating Scale (HDRS). Using various graph measures, the different effects of sham and verum aiTBS were calculated. It was also investigated whether changes in graph measures were correlated to clinical responses. Furthermore, by correlating baseline graph measures with the changes in HDRS in terms of percentage, the potential of graph measures as biomarker was studied. Although no differences were observed between the effects of verum and sham stimulation on whole‐brain graph measures and changes in graph measures did not correlate with clinical response, the baseline values of clustering coefficient and global efficiency showed to be predictive of the clinical response to verum aiTBS. Nodal effects were found throughout the whole brain. The distribution of these effects could not be linked to the strength of the functional connectivity between the stimulation site and the node. This study showed that the effects of aiTBS on graph measures distribute beyond the actual stimulation site. However, additional research into the complex interactions between different areas in the brain is necessary to understand the effects of aiTBS in more detail. John Wiley & Sons, Inc. 2018-10-01 /pmc/articles/PMC6585849/ /pubmed/30273448 http://dx.doi.org/10.1002/hbm.24384 Text en © 2018 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Klooster, Deborah C. W. Franklin, Suzanne L. Besseling, René M. H. Jansen, Jaap F. A. Caeyenberghs, Karen Duprat, Romain Aldenkamp, Albert P. de Louw, Anton J. A. Boon, Paul A. J. M. Baeken, Chris Focal application of accelerated iTBS results in global changes in graph measures |
title | Focal application of accelerated iTBS results in global changes in graph measures |
title_full | Focal application of accelerated iTBS results in global changes in graph measures |
title_fullStr | Focal application of accelerated iTBS results in global changes in graph measures |
title_full_unstemmed | Focal application of accelerated iTBS results in global changes in graph measures |
title_short | Focal application of accelerated iTBS results in global changes in graph measures |
title_sort | focal application of accelerated itbs results in global changes in graph measures |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585849/ https://www.ncbi.nlm.nih.gov/pubmed/30273448 http://dx.doi.org/10.1002/hbm.24384 |
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