Evidence map›Paper›PMID 32245086›Full record

ReviewInternational journal of molecular sciences2020

Neuroimaging Biomarkers for Predicting Treatment Response and Recurrence of Major Depressive Disorder.

Seung-Gul Kang, Seo-Eun Cho

Registry-linked trialAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07620288 (Measuring Neuroplasticity Outcomes of Theta Burst Stimulation in Depression Using Advanced PET Imaging), which is not on this map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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.

NCT07620288 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Measuring Neuroplasticity Outcomes of Theta Burst Stimulation in Depression Using Advanced PET Imaging

TypeinterventionalSponsorThe Royal Ottawa Mental Health CentreRan2026 to 2028Enrolled20ConditionsDepression, Depression - Major Depressive Disorder, Depressive Episode, Major Depressive Disorder (MDD)Armsrepetitive Transcranial Magnetic Stimulation
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

2 authors.

Seung-Gul KangDepartment of Psychiatry, Gil Medical Center and Gachon University College of Medicine, Incheon 21565, Korea.ORCID 0000-0003-4933-0433
Seo-Eun ChoDepartment of Psychiatry, Gil Medical Center and Gachon University College of Medicine, Incheon 21565, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The acute treatment duration for major depressive disorder (MDD) is 8 weeks or more. Treatment of patients with MDD without predictors of treatment response and future recurrence presents challenges and clinical problems to patients and physicians. Recently, many neuroimaging studies have been published on biomarkers for treatment response and recurrence of MDD using various methods such as brain volumetric magnetic resonance imaging (MRI), functional MRI (resting-state and affective tasks), diffusion tensor imaging, magnetic resonance spectroscopy, near-infrared spectroscopy, and molecular imaging (i.e., positron emission tomography and single photon emission computed tomography). The results have been inconsistent, and we hypothesize that this could be due to small sample size; different study design, including eligibility criteria; and differences in the imaging and analysis techniques. In the future, we suggest a more sophisticated research design, larger sample size, and a more comprehensive integration including genetics to establish biomarkers for the prediction of treatment response and recurrence of MDD.

Indexed as

NeuroimagingBiomarkersHumansMachine LearningMajor Depressive DisorderRecurrenceBiomarkersbiomarkergeneticsmajor depressive disorderneuroimagingrecurrencetreatment response

Identifiers

PMID32245086
PMCPMC7139562

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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.