Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression
BACKGROUND: The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. METHOD: This is an observational study enrolling 28 patients with MDD and 33 healthy controls (m...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394892/ https://www.ncbi.nlm.nih.gov/pubmed/37528355 http://dx.doi.org/10.1186/s12888-023-04958-8 |
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author | Huang, Shiau-Shian Yu, Yu-Hsiang Chen, His-Han Hung, Chia-Chun Wang, Yao-Ting Chang, Chieh Hsin Peng, Syu-Jyun Kuo, Po-Hsiu |
author_facet | Huang, Shiau-Shian Yu, Yu-Hsiang Chen, His-Han Hung, Chia-Chun Wang, Yao-Ting Chang, Chieh Hsin Peng, Syu-Jyun Kuo, Po-Hsiu |
author_sort | Huang, Shiau-Shian |
collection | PubMed |
description | BACKGROUND: The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. METHOD: This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). RESULTS: We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. CONCLUSIONS: The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-04958-8. |
format | Online Article Text |
id | pubmed-10394892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103948922023-08-03 Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression Huang, Shiau-Shian Yu, Yu-Hsiang Chen, His-Han Hung, Chia-Chun Wang, Yao-Ting Chang, Chieh Hsin Peng, Syu-Jyun Kuo, Po-Hsiu BMC Psychiatry Research BACKGROUND: The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype. METHOD: This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls’ EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC). RESULTS: We found that controls had higher values in delta wave in the indices of NS, GE, BC, and CC than MDD patients at baseline. After treatment with antidepressants, patients’ FC indices improved significantly, including GE, mean CC, and mean NS in the delta wave. The FC in the alpha and beta bands of the responders were higher than those of the non-responders. CONCLUSIONS: The FC of the MDD patients at baseline without treatment was worse than that of controls. After treatment, the FC improved and was close to the values of controls. Responders showed better FC in the high-frequency bands than non-responders, and this feature exists in both pre-treatment and post-treatment EEG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-04958-8. BioMed Central 2023-08-01 /pmc/articles/PMC10394892/ /pubmed/37528355 http://dx.doi.org/10.1186/s12888-023-04958-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Shiau-Shian Yu, Yu-Hsiang Chen, His-Han Hung, Chia-Chun Wang, Yao-Ting Chang, Chieh Hsin Peng, Syu-Jyun Kuo, Po-Hsiu Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression |
title | Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression |
title_full | Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression |
title_fullStr | Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression |
title_full_unstemmed | Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression |
title_short | Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression |
title_sort | functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394892/ https://www.ncbi.nlm.nih.gov/pubmed/37528355 http://dx.doi.org/10.1186/s12888-023-04958-8 |
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