Evidence map›Paper›PMID 29615675›Full record

ArticleScientific reports2018

Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder.

Bo Cao, Qinghua Luo, Yixiao Fu, Lian Du, Tian Qiu, Xiangying Yang, Xiaolu Chen, Qibin Chen, Jair C Soares, Raymond Y Cho and 2 more

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

Article in Scientific reports, 2018. 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 NCT03679962 (Adjunctive Triple Chronotherapy in the Acute Treatment of Depression and Suicidality in the Adolescent Population), which is not on this map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 pooled it
13.3field-weighted citation impact, top 1% 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.

NCT03679962 nacompletednot on this mapstarted 2019, after this paper: background citation

Adjunctive Triple Chronotherapy in the Acute Treatment of Depression and Suicidality in the Adolescent Population: A Randomized Controlled Trial

TypeinterventionalSponsorBillings ClinicRan2019 to 2023Enrolled64ConditionsDepressive Disorder, Major, Bipolar Depression, Suicidal IdeationArmsTriple Chronotherapy, Treatment as Usual
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 5 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Review
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  10. Review
  11. Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Electroconvulsive Therapy (ECT) in Major Depression: Oldies but Goodies.Advances in experimental medicine and biology · 2024
    Review
  16. Article
  17. Article
  18. Neural plasticity and depression treatment.IBRO neuroscience reports · 2023
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Bo CaoDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, United States.
Qinghua LuoMental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Yixiao FuMental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Lian DuMental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Tian QiuMental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Xiangying YangMental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Xiaolu ChenMental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Qibin ChenDepartment of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Jair C SoaresDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, United States.
Raymond Y ChoDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, United States.
Xiang Yang ZhangDepartment of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, United States.
Haitang QiuMental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China. qiuhaitang2008@hotmail.com.
Chongqing Medical University · CNThe University of Texas Health Science Center at Houston · USFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorder (MDD). ECT can induce neurogenesis and synaptogenesis in hippocampus, which contains distinct subfields, e.g., the cornu ammonis (CA) subfields, a granule cell layer (GCL), a molecular layer (ML), and the subiculum. It is unclear which subfields are affected by ECT and whether we predict the future treatment response to ECT by using volumetric information of hippocampal subfields at baseline? In this study, 24 patients with severe MDD received the ECT and their structural brain images were acquired with magnetic resonance imaging before and after ECT. A state-of-the-art hippocampal segmentation algorithm from Freesurfer 6.0 was used. We found that ECT induced volume increases in CA subfields, GCL, ML and subiculum. We applied a machine learning algorithm to the hippocampal subfield volumes at baseline and were able to predict the change in depressive symptoms (r = 0.81; within remitters, r = 0.93). Receiver operating characteristic analysis also showed robust prediction of remission with an area under the curve of 0.90. Our findings provide evidence for particular hippocampal subfields having specific roles in the response to ECT. We also provide an analytic approach for generating predictions about clinical outcomes for ECT in MDD.

Indexed as

Electroconvulsive TherapyMachine LearningAdultFemaleHippocampusHumansMajor Depressive DisorderMaleOrgan SizeTreatment Outcome

Identifiers

PMID29615675
PMCPMC5882798
OpenAlexW2805670429

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.