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Pre-treatment EEG signal variability is associated with treatment success in depression
BACKGROUND: Previous work suggests that major depressive disorder (MDD) is associated with disturbances in global connectivity among brain regions, as well as local connectivity within regions. However, the relative importance of these global versus local changes for successful antidepressant treatm...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683802/ https://www.ncbi.nlm.nih.gov/pubmed/29159049 http://dx.doi.org/10.1016/j.nicl.2017.10.035 |
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author | Jaworska, Natalia Wang, Hongye Smith, Dylan M. Blier, Pierre Knott, Verner Protzner, Andrea B. |
author_facet | Jaworska, Natalia Wang, Hongye Smith, Dylan M. Blier, Pierre Knott, Verner Protzner, Andrea B. |
author_sort | Jaworska, Natalia |
collection | PubMed |
description | BACKGROUND: Previous work suggests that major depressive disorder (MDD) is associated with disturbances in global connectivity among brain regions, as well as local connectivity within regions. However, the relative importance of these global versus local changes for successful antidepressant treatment is unknown. We used multiscale entropy (MSE), a measure of brain signal variability, to examine how the propensity for local (fine scale MSE) versus global (coarse scale MSE) neural processing measured prior to antidepressant treatment is related to subsequent treatment response. METHODS: We collected resting-state EEG activity during eyes-open and closed conditions from unmedicated individuals with MDD prior to antidepressant pharmacotherapy (N = 36) as well as from non-depressed controls (N = 36). Treatment response was assessed after 12 weeks of treatment using the Montgomery-Åsberg Depression Rating Scale (MADRS), at which time participants with MDD were characterized as either responders (≥ 50% MADRS decrease) or non-responders. MSE was calculated from baseline EEG, and compared between controls, future treatment responders and non-responders. Putative interactions with the well-documented age effect on signal variability (increased reliance on local neural communication with increasing age, indexed by greater finer-scale variability) were assessed. RESULTS: Only in responders, we found that reduced MSE at fine temporal scales (especially fronto-centrally) and increased MSE diffusely at coarser temporal scales was related to the magnitude of the antidepressant response. In controls and MDD non-responders, but not MDD responders, there was an increase in MSE with age at fine temporal scales and a decrease in MSE with age at coarse temporal scales. CONCLUSION: Our results suggest that an increased propensity toward global processing, indexed by greater MSE at coarser timescales, at baseline appears to facilitate eventual antidepressant treatment response. |
format | Online Article Text |
id | pubmed-5683802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-56838022017-11-20 Pre-treatment EEG signal variability is associated with treatment success in depression Jaworska, Natalia Wang, Hongye Smith, Dylan M. Blier, Pierre Knott, Verner Protzner, Andrea B. Neuroimage Clin Regular Article BACKGROUND: Previous work suggests that major depressive disorder (MDD) is associated with disturbances in global connectivity among brain regions, as well as local connectivity within regions. However, the relative importance of these global versus local changes for successful antidepressant treatment is unknown. We used multiscale entropy (MSE), a measure of brain signal variability, to examine how the propensity for local (fine scale MSE) versus global (coarse scale MSE) neural processing measured prior to antidepressant treatment is related to subsequent treatment response. METHODS: We collected resting-state EEG activity during eyes-open and closed conditions from unmedicated individuals with MDD prior to antidepressant pharmacotherapy (N = 36) as well as from non-depressed controls (N = 36). Treatment response was assessed after 12 weeks of treatment using the Montgomery-Åsberg Depression Rating Scale (MADRS), at which time participants with MDD were characterized as either responders (≥ 50% MADRS decrease) or non-responders. MSE was calculated from baseline EEG, and compared between controls, future treatment responders and non-responders. Putative interactions with the well-documented age effect on signal variability (increased reliance on local neural communication with increasing age, indexed by greater finer-scale variability) were assessed. RESULTS: Only in responders, we found that reduced MSE at fine temporal scales (especially fronto-centrally) and increased MSE diffusely at coarser temporal scales was related to the magnitude of the antidepressant response. In controls and MDD non-responders, but not MDD responders, there was an increase in MSE with age at fine temporal scales and a decrease in MSE with age at coarse temporal scales. CONCLUSION: Our results suggest that an increased propensity toward global processing, indexed by greater MSE at coarser timescales, at baseline appears to facilitate eventual antidepressant treatment response. Elsevier 2017-10-31 /pmc/articles/PMC5683802/ /pubmed/29159049 http://dx.doi.org/10.1016/j.nicl.2017.10.035 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Jaworska, Natalia Wang, Hongye Smith, Dylan M. Blier, Pierre Knott, Verner Protzner, Andrea B. Pre-treatment EEG signal variability is associated with treatment success in depression |
title | Pre-treatment EEG signal variability is associated with treatment success in depression |
title_full | Pre-treatment EEG signal variability is associated with treatment success in depression |
title_fullStr | Pre-treatment EEG signal variability is associated with treatment success in depression |
title_full_unstemmed | Pre-treatment EEG signal variability is associated with treatment success in depression |
title_short | Pre-treatment EEG signal variability is associated with treatment success in depression |
title_sort | pre-treatment eeg signal variability is associated with treatment success in depression |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683802/ https://www.ncbi.nlm.nih.gov/pubmed/29159049 http://dx.doi.org/10.1016/j.nicl.2017.10.035 |
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