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Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response

Background: Electroconvulsive therapy (ECT) is an effective treatment for patients with severe depression. Knowledge on factors predicting therapeutic response may help to identify patients who will benefit most from the intervention. Based on the neuroplasticity hypothesis, volumes of the amygdala...

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Autores principales: ten Doesschate, Freek, van Eijndhoven, Philip, Tendolkar, Indira, van Wingen, Guido A., van Waarde, Jeroen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4244657/
https://www.ncbi.nlm.nih.gov/pubmed/25505429
http://dx.doi.org/10.3389/fpsyt.2014.00169
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author ten Doesschate, Freek
van Eijndhoven, Philip
Tendolkar, Indira
van Wingen, Guido A.
van Waarde, Jeroen A.
author_facet ten Doesschate, Freek
van Eijndhoven, Philip
Tendolkar, Indira
van Wingen, Guido A.
van Waarde, Jeroen A.
author_sort ten Doesschate, Freek
collection PubMed
description Background: Electroconvulsive therapy (ECT) is an effective treatment for patients with severe depression. Knowledge on factors predicting therapeutic response may help to identify patients who will benefit most from the intervention. Based on the neuroplasticity hypothesis, volumes of the amygdala and hippocampus are possible candidates for predicting treatment outcome. Therefore, this prospective cohort study examines the predictive value of amygdala and hippocampal volumes for the effectiveness of ECT. Methods: Prior to ECT, 53 severely unipolar depressed patients [mean age 57 ± 14 years; 40% (n = 21) male] received structural magnetic resonance imaging (MRI) at 1.5 T. Normalized amygdala and hippocampal volumes were calculated based on automatic segmentation by FreeSurfer (FS). Regression analyses were used to test if the normalized volumes could predict the response to a course of ECT based on the Montgomery–Åsberg Depression Rating Scale (MADRS) scores. Results: A larger amygdala volume independently and significantly predicted a lower post-ECT MADRS score (β = −0.347, P = 0.013). The left amygdala volume had greater predictive value for treatment outcome relative to the right amygdala volume. Hippocampal volume had no independent predictive value. Conclusion: A larger pre-treatment amygdala volume predicted more effective ECT, independent of other known predictors. Almost all patients continued their medication during the study, which might have influenced the course of treatment in ways that were not taken into account.
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spelling pubmed-42446572014-12-10 Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response ten Doesschate, Freek van Eijndhoven, Philip Tendolkar, Indira van Wingen, Guido A. van Waarde, Jeroen A. Front Psychiatry Psychiatry Background: Electroconvulsive therapy (ECT) is an effective treatment for patients with severe depression. Knowledge on factors predicting therapeutic response may help to identify patients who will benefit most from the intervention. Based on the neuroplasticity hypothesis, volumes of the amygdala and hippocampus are possible candidates for predicting treatment outcome. Therefore, this prospective cohort study examines the predictive value of amygdala and hippocampal volumes for the effectiveness of ECT. Methods: Prior to ECT, 53 severely unipolar depressed patients [mean age 57 ± 14 years; 40% (n = 21) male] received structural magnetic resonance imaging (MRI) at 1.5 T. Normalized amygdala and hippocampal volumes were calculated based on automatic segmentation by FreeSurfer (FS). Regression analyses were used to test if the normalized volumes could predict the response to a course of ECT based on the Montgomery–Åsberg Depression Rating Scale (MADRS) scores. Results: A larger amygdala volume independently and significantly predicted a lower post-ECT MADRS score (β = −0.347, P = 0.013). The left amygdala volume had greater predictive value for treatment outcome relative to the right amygdala volume. Hippocampal volume had no independent predictive value. Conclusion: A larger pre-treatment amygdala volume predicted more effective ECT, independent of other known predictors. Almost all patients continued their medication during the study, which might have influenced the course of treatment in ways that were not taken into account. Frontiers Media S.A. 2014-11-26 /pmc/articles/PMC4244657/ /pubmed/25505429 http://dx.doi.org/10.3389/fpsyt.2014.00169 Text en Copyright © 2014 ten Doesschate, van Eijndhoven, Tendolkar, van Wingen and van Waarde. http://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) or licensor 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 Psychiatry
ten Doesschate, Freek
van Eijndhoven, Philip
Tendolkar, Indira
van Wingen, Guido A.
van Waarde, Jeroen A.
Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response
title Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response
title_full Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response
title_fullStr Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response
title_full_unstemmed Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response
title_short Pre-Treatment Amygdala Volume Predicts Electroconvulsive Therapy Response
title_sort pre-treatment amygdala volume predicts electroconvulsive therapy response
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4244657/
https://www.ncbi.nlm.nih.gov/pubmed/25505429
http://dx.doi.org/10.3389/fpsyt.2014.00169
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