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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-01-01
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| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158217302760 |
| _version_ | 1819319656858517504 |
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| author | Natalia Jaworska Hongye Wang Dylan M. Smith Pierre Blier Verner Knott Andrea B. Protzner |
| author_facet | Natalia Jaworska Hongye Wang Dylan M. Smith Pierre Blier Verner Knott Andrea B. Protzner |
| author_sort | Natalia Jaworska |
| collection | DOAJ |
| 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 12weeks 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. Keywords: Depression, Treatment, Response, Multi-scale entropy (MSE), Electroencephalography (EEG), Signal variability, Spectral power density (SPD) |
| first_indexed | 2024-12-24T11:07:10Z |
| format | Article |
| id | doaj.art-64684b151bc442cbb6055696ff9dac6a |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-24T11:07:10Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-64684b151bc442cbb6055696ff9dac6a2022-12-21T16:58:36ZengElsevierNeuroImage: Clinical2213-15822018-01-0117368377Pre-treatment EEG signal variability is associated with treatment success in depressionNatalia Jaworska0Hongye Wang1Dylan M. Smith2Pierre Blier3Verner Knott4Andrea B. Protzner5Institute of Mental Health Research, Affiliated With the University of Ottawa, ON, CanadaDepartment of Psychology, University of Calgary, AB, CanadaCenter for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, CanadaInstitute of Mental Health Research, Affiliated With the University of Ottawa, ON, CanadaInstitute of Mental Health Research, Affiliated With the University of Ottawa, ON, CanadaDepartment of Psychology, University of Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, AB, Canada; Corresponding author at: Department of Psychology, University of Calgary, 2500 University Drive NW, Calgary, T2N 1N4, Alberta, Canada.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 12weeks 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. Keywords: Depression, Treatment, Response, Multi-scale entropy (MSE), Electroencephalography (EEG), Signal variability, Spectral power density (SPD)http://www.sciencedirect.com/science/article/pii/S2213158217302760 |
| spellingShingle | Natalia Jaworska Hongye Wang Dylan M. Smith Pierre Blier Verner Knott Andrea B. Protzner Pre-treatment EEG signal variability is associated with treatment success in depression NeuroImage: Clinical |
| 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 |
| url | http://www.sciencedirect.com/science/article/pii/S2213158217302760 |
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