Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder

BMC Medicine

Research Article

Daoqiang Zhang¹  Shile Qi¹  Tom Jones²  Christopher C. Abbott²  Joel Upston²  Jeremy Miller²  Yvette Sheline³  Katherine L. Narr⁴  Shawn M. McClintock⁵  Xiao Yang⁶  Zhi-De Deng⁷  Rongtao Jiang⁸  Jing Sui⁸  Vince D. Calhoun⁹ 

[1] College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China;Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA;Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA;Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA;Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA;Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China;Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA;State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China;Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA;

关键词: Electroconvulsive therapy;    Antidepressant;    Cognitive impairment;    Electric field;    Multimodal fusion;   

DOI  :  10.1186/s12916-022-02678-6

 received in 2022-03-31, accepted in 2022-11-23,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundAlthough 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.MethodsA 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.ResultsDecreased 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.ConclusionsThe 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 registrationClinicalTrials.gov Identifier: NCT02999269.

【 授权许可】

CC BY   
© The Author(s) 2022

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