Evidence map›Paper›PMID 31904902›Full record

ArticleHuman brain mapping2020

Electroconvulsive therapy treatment responsive multimodal brain networks.

Shile Qi, Christopher C Abbott, Katherine L Narr, Rongtao Jiang, Joel Upston, Shawn M McClintock, Randall Espinoza, Tom Jones, Dongmei Zhi, Hailun Sun and 3 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  14. Noninvasive neuromodulation of the prefrontal cortex in mental health disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 2 countries.

Shile QiTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, Georgia.ORCID 0000-0003-3486-2277
Christopher C AbbottDepartment of Psychiatry, University of New Mexico, Albuquerque, New Mexico.
Katherine L NarrDepartment of Neurology, Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), California.
Rongtao JiangBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Joel UpstonDepartment of Psychiatry, University of New Mexico, Albuquerque, New Mexico.
Shawn M McClintockDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.
Randall EspinozaDepartment of Neurology, Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), California.
Tom JonesDepartment of Psychiatry, University of New Mexico, Albuquerque, New Mexico.
Dongmei ZhiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Hailun SunBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Xiao YangHuaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
Jing SuiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-6837-5966
Vince D CalhounTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, Georgia.
Chinese Academy of Sciences · CNUniversity of New Mexico · USGeorgia Institute of Technology · USUniversity of California, Los Angeles · USSichuan University · CNThe University of Texas Southwestern Medical Center · US

Funding

Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI ABBOTT, CHRISTOPHER C · 2012 to 2017
$14.3M
Pilot Project Program (PPP)P30GM122734 · NIGMS · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2018 to 2022
$7.0M
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
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
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
Data-driven approaches to identify biomarkers from multimodal imaging big dataR56MH117107 · NIMH · THE MIND RESEARCH NETWORK · PI SUI, JING · 2018 to 2018
$453k
NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM103472NIGMS NIH HHS P30 GM122734NIMH NIH HHS R01 MH094524NIMH NIH HHS R01 MH117107NIMH NIH HHS R56 MH117107NIMH NIH HHS U01 MH111826
6 · The paper itself

Abstract

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.

Indexed as

Electroconvulsive TherapyAdolescentAdultAgedAged, 80 and overAlgorithmsBrain MappingDepressive Disorder, Treatment-ResistantFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMemory DisordersMiddle AgedMultimodal Imagingdepressive episodeselectroconvulsive therapymultimodal fusiontreatment response

Identifiers

PMID31904902
PMCPMC7267951
OpenAlexW3000446330

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.