Evidence map›Paper›PMID 36482369›Full record

ArticleBMC medicine2022

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

Shile Qi, Vince D Calhoun, Daoqiang Zhang, Jeremy Miller, Zhi-De Deng, Katherine L Narr, Yvette Sheline, Shawn M McClintock, Rongtao Jiang, Xiao Yang and 4 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02999269 (ECT Pulse Amplitude and Medial Temporal Lobe Engagement), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02999269 phase4completednot on this map

ECT Pulse Amplitude and Medial Temporal Lobe Engagement

TypeinterventionalSponsorUniversity of New MexicoRan2016 to 2020Enrolled62ConditionsMajor Depressive DisorderArmsMECTA Spectrum 5000Q Amplitude
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
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  8. Amplitude-determined seizure-threshold, electric field modeling, and electroconvulsive therapy antidepressant and cognitive outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 2 countries.

Shile QiCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China. shile.qi@nuaa.edu.cn.ORCID http://orcid.org/0000-0003-3486-2277
Vince D CalhounTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Daoqiang ZhangCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Jeremy MillerDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, USA.
Zhi-De DengNoninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA.
Katherine L NarrDepartments of Neurology, Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Yvette ShelineDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Shawn M McClintockDivision of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.
Rongtao JiangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xiao YangHuaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
Joel UpstonDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, USA.
Tom JonesDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, USA.
Jing SuiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. jsui@bnu.edu.cn.
Christopher C AbbottDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, USA. cabbott@salud.unm.edu.
University of New Mexico · USBeijing Normal University · CNNanjing University of Aeronautics and Astronautics · CNGeorgia Institute of Technology · USNational Institute of Mental Health · USSichuan University · CNSouthwestern Medical Center · USUniversity of California, Los Angeles · USUniversity of Pennsylvania · US

Funding

Non-invasive Neuromodulation Unit (NNU)ZIAMH002955 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2016 to 2025
$40.3M
Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia: AD/ADRD supplementR01MH094524 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, TURNER, JESS · 2012 to 2021
$6.3M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
1/4-Deciphering Mechanisms of ECT Outcomes and Adverse Effects (DECODE)R01MH128690 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Katherine L Narr · 2022 to 2026
$2.9M
Ascertaining Neurocircuitry to Enhance Neuromodulation Development ASCENDR01MH119285 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI HAWCO, COLIN, MCCLINTOCK, SHAWN M · 2019 to 2023
$2.8M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
2/4 Deciphering Mechanisms of ECT Outcomes and Adverse Effects (DECODE)R01MH128692 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher C Abbott · 2022 to 2026
$2.6M
Electroconvulsive therapy amplitude titration for improved clinical outcomes in late-life depressionR33MH125126 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ABBOTT, CHRISTOPHER C · 2023 to 2025
$2.0M
Data-driven approaches to identify biomarkers from multimodal imaging big dataR01MH117107 · NIMH · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D · 2019 to 2022
$1.6M
ECT current amplitude and medial temporal lobe engagementU01MH111826 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ABBOTT, CHRISTOPHER C · 2017 to 2019
$1.5M
Electroconvulsive therapy amplitude titration for improved clinical outcomes in late-life depressionR61MH125126 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ABBOTT, CHRISTOPHER C · 2021 to 2022
$1.4M
ECT current amplitude and medial temporal lobe engagementR01MH111826 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ABBOTT, CHRISTOPHER C · 2016 to 2016
$522k
Intramural NIH HHS ZIA MH002955NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB020407NIMH NIH HHS R01 MH094524NIMH NIH HHS R01 MH111826NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH119285NIMH NIH HHS R01 MH128690NIMH NIH HHS R01 MH128692NIMH NIH HHS R33 MH125126NIMH NIH HHS R61 MH125126NIMH NIH HHS U01 MH111826
6 · The paper itself

Abstract

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.

Indexed as

Cognitive DysfunctionElectroconvulsive TherapyMajor Depressive DisorderBrainHumansNeurobiologyAntidepressantCognitive impairmentElectric fieldElectroconvulsive therapyMultimodal fusion

Identifiers

PMID36482369
PMCPMC9733153
OpenAlexW4311589778

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.