Evidence map›Paper›PMID 38664360›Full record

ArticleBrain imaging and behavior2024

Molecular mechanisms underlying structural plasticity of electroconvulsive therapy in major depressive disorder.

Hui Sun, Tongjian Bai, Xiaodong Zhang, Xinxin Fan, Kai Zhang, Jiang Zhang, Qingmao Hu, Jinping Xu, Yanghua Tian, Kai Wang

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Hui SunCollege of Electrical Engineering, Sichuan University, Chengdu, China.
Tongjian BaiDepartment of Neurology, the First Hospital of Anhui Medical University, Hefei, 230022, China.
Xiaodong ZhangInstitute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Xinxin FanInstitute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Kai ZhangInstitute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Jiang ZhangCollege of Electrical Engineering, Sichuan University, Chengdu, China.
Qingmao HuInstitute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Jinping XuInstitute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. jp.xu@siat.ac.cn.
Yanghua TianDepartment of Neurology, the First Hospital of Anhui Medical University, Hefei, 230022, China. ayfytyh@126.com.
Kai WangDepartment of Neurology, the First Hospital of Anhui Medical University, Hefei, 230022, China.
Chinese Academy of Sciences · CNShenzhen Institutes of Advanced Technology · CNSichuan University · CNAnhui Medical University · CNAnhui Provincial Meteorological Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although previous studies reported structural changes associated with electroconvulsive therapy (ECT) in major depressive disorder (MDD), the underlying molecular basis of ECT remains largely unknown. Here, we combined two independent structural MRI datasets of MDD patients receiving ECT and transcriptomic gene expression data from Allen Human Brain Atlas to reveal the molecular basis of ECT for MDD. We performed partial least square regression to explore whether/how gray matter volume (GMV) alterations were associated with gene expression level. Functional enrichment analysis was conducted using Metascape to explore ontological pathways of the associated genes. Finally, these genes were further assigned to seven cell types to determine which cell types contribute most to the structural changes in MDD patients after ECT. We found significantly increased GMV in bilateral hippocampus in MDD patients after ECT. Transcriptome-neuroimaging association analyses showed that expression levels of 726 genes were positively correlated with the increased GMV in MDD after ECT. These genes were mainly involved in synaptic signaling, calcium ion binding and cell-cell signaling, and mostly belonged to excitatory and inhibitory neurons. Moreover, we found that the MDD risk genes of CNR1, HTR1A, MAOA, PDE1A, and SST as well as ECT related genes of BDNF, DRD2, APOE, P2RX7, and TBC1D14 showed significantly positive associations with increased GMV. Overall, our findings provide biological and molecular mechanisms underlying structural plasticity induced by ECT in MDD and the identified genes may facilitate future therapy for MDD.

Indexed as

Electroconvulsive TherapyGray MatterMagnetic Resonance ImagingMajor Depressive DisorderNeuronal PlasticityAdultBrainFemaleHippocampusHumansMaleMiddle AgedTranscriptomeElectroconvulsive therapyEnrichment analysisGeneticsGray matter volumeMajor depressive disorderTranscriptome

Identifiers

PMID38664360
OpenAlexW4395669580

What Socratic holds

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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 Socratic graph.