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Electroconvulsive therapy treatment responsive multimodal brain networks
Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment‐resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267951/ https://www.ncbi.nlm.nih.gov/pubmed/31904902 http://dx.doi.org/10.1002/hbm.24910 |
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author | Qi, Shile Abbott, Christopher C. Narr, Katherine L. Jiang, Rongtao Upston, Joel McClintock, Shawn M. Espinoza, Randall Jones, Tom Zhi, Dongmei Sun, Hailun Yang, Xiao Sui, Jing Calhoun, Vince D. |
author_facet | Qi, Shile Abbott, Christopher C. Narr, Katherine L. Jiang, Rongtao Upston, Joel McClintock, Shawn M. Espinoza, Randall Jones, Tom Zhi, Dongmei Sun, Hailun Yang, Xiao Sui, Jing Calhoun, Vince D. |
author_sort | Qi, Shile |
collection | PubMed |
description | Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment‐resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant effects remain unclear. The objective of this investigation was to identify electroconvulsive therapy treatment responsive multimodal biomarkers with the 17‐item Hamilton Depression Rating Scale guided brain structure–function fusion in 118 patients with depressive episodes and 60 healthy controls. Results show that reduced fractional amplitude of low frequency fluctuations in the prefrontal cortex, insula and hippocampus, linked with increased gray matter volume in anterior cingulate, medial temporal cortex, insula, thalamus, caudate and hippocampus represent electroconvulsive therapy responsive covarying functional and structural brain networks. In addition, relative to nonresponders, responder‐specific electroconvulsive therapy related brain networks occur in frontal‐limbic network and are associated with successful therapeutic outcomes. Finally, electroconvulsive therapy responsive brain networks were unrelated to verbal declarative memory. Using a data‐driven, supervised‐learning method, we demonstrated that electroconvulsive therapy produces a remodeling of brain functional and structural covariance that was unique to antidepressant symptom response, but not linked to memory impairment. |
format | Online Article Text |
id | pubmed-7267951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72679512020-06-12 Electroconvulsive therapy treatment responsive multimodal brain networks Qi, Shile Abbott, Christopher C. Narr, Katherine L. Jiang, Rongtao Upston, Joel McClintock, Shawn M. Espinoza, Randall Jones, Tom Zhi, Dongmei Sun, Hailun Yang, Xiao Sui, Jing Calhoun, Vince D. Hum Brain Mapp Research Articles Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment‐resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant effects remain unclear. The objective of this investigation was to identify electroconvulsive therapy treatment responsive multimodal biomarkers with the 17‐item Hamilton Depression Rating Scale guided brain structure–function fusion in 118 patients with depressive episodes and 60 healthy controls. Results show that reduced fractional amplitude of low frequency fluctuations in the prefrontal cortex, insula and hippocampus, linked with increased gray matter volume in anterior cingulate, medial temporal cortex, insula, thalamus, caudate and hippocampus represent electroconvulsive therapy responsive covarying functional and structural brain networks. In addition, relative to nonresponders, responder‐specific electroconvulsive therapy related brain networks occur in frontal‐limbic network and are associated with successful therapeutic outcomes. Finally, electroconvulsive therapy responsive brain networks were unrelated to verbal declarative memory. Using a data‐driven, supervised‐learning method, we demonstrated that electroconvulsive therapy produces a remodeling of brain functional and structural covariance that was unique to antidepressant symptom response, but not linked to memory impairment. John Wiley & Sons, Inc. 2020-01-06 /pmc/articles/PMC7267951/ /pubmed/31904902 http://dx.doi.org/10.1002/hbm.24910 Text en © 2020 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-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Qi, Shile Abbott, Christopher C. Narr, Katherine L. Jiang, Rongtao Upston, Joel McClintock, Shawn M. Espinoza, Randall Jones, Tom Zhi, Dongmei Sun, Hailun Yang, Xiao Sui, Jing Calhoun, Vince D. Electroconvulsive therapy treatment responsive multimodal brain networks |
title | Electroconvulsive therapy treatment responsive multimodal brain networks |
title_full | Electroconvulsive therapy treatment responsive multimodal brain networks |
title_fullStr | Electroconvulsive therapy treatment responsive multimodal brain networks |
title_full_unstemmed | Electroconvulsive therapy treatment responsive multimodal brain networks |
title_short | Electroconvulsive therapy treatment responsive multimodal brain networks |
title_sort | electroconvulsive therapy treatment responsive multimodal brain networks |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267951/ https://www.ncbi.nlm.nih.gov/pubmed/31904902 http://dx.doi.org/10.1002/hbm.24910 |
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