Evidence map›Paper›PMID 36746924›Full record

ArticleTranslational psychiatry2023

Cerebro-cerebellar functional neuroplasticity mediates the effect of electric field on electroconvulsive therapy outcomes.

Zening Fu, Christopher C Abbott, Jeremy Miller, Zhi-De Deng, Shawn M McClintock, Mohammad S E Sendi, Jing Sui, Vince D Calhoun

Abstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

8 authors.

Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA. fzn198637@gmail.com.ORCID 0000-0002-1591-4900
Christopher C AbbottDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, USA. CAbbott@salud.unm.edu.ORCID 0000-0001-6884-2464
Jeremy MillerDepartment of Psychiatry, University of New Mexico, Albuquerque, NM, USA.
Zhi-De DengComputational Neurostimulation Research Program, Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0001-8925-0871
Shawn M McClintockDivision of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.
Mohammad S E SendiTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Jing SuiTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA. 18311339660@163.com.
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.ORCID 0000-0001-9058-0747

Funding

Non-invasive Neuromodulation Unit (NNU)ZIAMH002955 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2016 to 2025
$40.3M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
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
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
Intramural NIH HHS ZIA MH002955NIBIB NIH HHS R01 EB020407NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH118695NIMH NIH HHS R61 MH125126NIMH NIH HHS U01 MH111826
6 · The paper itself

Abstract

Electroconvulsive therapy (ECT) is the most effective treatment for severe depression and works by applying an electric current through the brain. The applied current generates an electric field (E-field) and seizure activity, changing the brain's functional organization. The E-field, which is determined by electrode placement (right unilateral or bitemporal) and pulse amplitude (600, 700, or 800 milliamperes), is associated with the ECT response. However, the neural mechanisms underlying the relationship between E-field, functional brain changes, and clinical outcomes of ECT are not well understood. Here, we investigated the relationships between whole-brain E-field (E

Indexed as

Depressive DisorderElectroconvulsive TherapyAntidepressive AgentsBrainCerebellumHumansMagnetic Resonance ImagingAntidepressive Agents

Identifiers

PMID36746924
PMCPMC9902462

What OpenQuestion holds

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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.