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Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder
BACKGROUND: Although electroconvulsive therapy (ECT) is an effective treatment for depression, ECT cognitive impairment remains a major concern. The neurobiological underpinnings and mechanisms underlying ECT antidepressant and cognitive impairment effects remain unknown. This investigation aims to...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733153/ https://www.ncbi.nlm.nih.gov/pubmed/36482369 http://dx.doi.org/10.1186/s12916-022-02678-6 |
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author | Qi, Shile Calhoun, Vince D. Zhang, Daoqiang Miller, Jeremy Deng, Zhi-De Narr, Katherine L. Sheline, Yvette McClintock, Shawn M. Jiang, Rongtao Yang, Xiao Upston, Joel Jones, Tom Sui, Jing Abbott, Christopher C. |
author_facet | Qi, Shile Calhoun, Vince D. Zhang, Daoqiang Miller, Jeremy Deng, Zhi-De Narr, Katherine L. Sheline, Yvette McClintock, Shawn M. Jiang, Rongtao Yang, Xiao Upston, Joel Jones, Tom Sui, Jing Abbott, Christopher C. |
author_sort | Qi, Shile |
collection | PubMed |
description | BACKGROUND: Although electroconvulsive therapy (ECT) is an effective treatment for depression, ECT cognitive impairment remains a major concern. The neurobiological underpinnings and mechanisms underlying ECT antidepressant and cognitive impairment effects remain unknown. This investigation aims to identify ECT antidepressant-response and cognitive-impairment multimodal brain networks and assesses whether they are associated with the ECT-induced electric field (E-field) with an optimal pulse amplitude estimation. METHODS: A single site clinical trial focused on amplitude (600, 700, and 800 mA) included longitudinal multimodal imaging and clinical and cognitive assessments completed before and immediately after the ECT series (n = 54) for late-life depression. Another two independent validation cohorts (n = 84, n = 260) were included. Symptom and cognition were used as references to supervise fMRI and sMRI fusion to identify ECT antidepressant-response and cognitive-impairment multimodal brain networks. Correlations between ECT-induced E-field within these two networks and clinical and cognitive outcomes were calculated. An optimal pulse amplitude was estimated based on E-field within antidepressant-response and cognitive-impairment networks. RESULTS: Decreased function in the superior orbitofrontal cortex and caudate accompanied with increased volume in medial temporal cortex showed covarying functional and structural alterations in both antidepressant-response and cognitive-impairment networks. Volume increases in the hippocampal complex and thalamus were antidepressant-response specific, and functional decreases in the amygdala and hippocampal complex were cognitive-impairment specific, which were validated in two independent datasets. The E-field within these two networks showed an inverse relationship with HDRS reduction and cognitive impairment. The optimal E-filed range as [92.7–113.9] V/m was estimated to maximize antidepressant outcomes without compromising cognitive safety. CONCLUSIONS: The large degree of overlap between antidepressant-response and cognitive-impairment networks challenges parameter development focused on precise E-field dosing with new electrode placements. The determination of the optimal individualized ECT amplitude within the antidepressant and cognitive networks may improve the treatment benefit–risk ratio. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02999269. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02678-6. |
format | Online Article Text |
id | pubmed-9733153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97331532022-12-10 Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder Qi, Shile Calhoun, Vince D. Zhang, Daoqiang Miller, Jeremy Deng, Zhi-De Narr, Katherine L. Sheline, Yvette McClintock, Shawn M. Jiang, Rongtao Yang, Xiao Upston, Joel Jones, Tom Sui, Jing Abbott, Christopher C. BMC Med Research Article BACKGROUND: Although electroconvulsive therapy (ECT) is an effective treatment for depression, ECT cognitive impairment remains a major concern. The neurobiological underpinnings and mechanisms underlying ECT antidepressant and cognitive impairment effects remain unknown. This investigation aims to identify ECT antidepressant-response and cognitive-impairment multimodal brain networks and assesses whether they are associated with the ECT-induced electric field (E-field) with an optimal pulse amplitude estimation. METHODS: A single site clinical trial focused on amplitude (600, 700, and 800 mA) included longitudinal multimodal imaging and clinical and cognitive assessments completed before and immediately after the ECT series (n = 54) for late-life depression. Another two independent validation cohorts (n = 84, n = 260) were included. Symptom and cognition were used as references to supervise fMRI and sMRI fusion to identify ECT antidepressant-response and cognitive-impairment multimodal brain networks. Correlations between ECT-induced E-field within these two networks and clinical and cognitive outcomes were calculated. An optimal pulse amplitude was estimated based on E-field within antidepressant-response and cognitive-impairment networks. RESULTS: Decreased function in the superior orbitofrontal cortex and caudate accompanied with increased volume in medial temporal cortex showed covarying functional and structural alterations in both antidepressant-response and cognitive-impairment networks. Volume increases in the hippocampal complex and thalamus were antidepressant-response specific, and functional decreases in the amygdala and hippocampal complex were cognitive-impairment specific, which were validated in two independent datasets. The E-field within these two networks showed an inverse relationship with HDRS reduction and cognitive impairment. The optimal E-filed range as [92.7–113.9] V/m was estimated to maximize antidepressant outcomes without compromising cognitive safety. CONCLUSIONS: The large degree of overlap between antidepressant-response and cognitive-impairment networks challenges parameter development focused on precise E-field dosing with new electrode placements. The determination of the optimal individualized ECT amplitude within the antidepressant and cognitive networks may improve the treatment benefit–risk ratio. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02999269. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02678-6. BioMed Central 2022-12-08 /pmc/articles/PMC9733153/ /pubmed/36482369 http://dx.doi.org/10.1186/s12916-022-02678-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article Qi, Shile Calhoun, Vince D. Zhang, Daoqiang Miller, Jeremy Deng, Zhi-De Narr, Katherine L. Sheline, Yvette McClintock, Shawn M. Jiang, Rongtao Yang, Xiao Upston, Joel Jones, Tom Sui, Jing Abbott, Christopher C. Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder |
title | Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder |
title_full | Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder |
title_fullStr | Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder |
title_full_unstemmed | Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder |
title_short | Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder |
title_sort | links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733153/ https://www.ncbi.nlm.nih.gov/pubmed/36482369 http://dx.doi.org/10.1186/s12916-022-02678-6 |
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