Evidence map›Paper›PMID 37278139›Full record

ArticleBrain and behavior2023

White matter abnormalities are associated with the declined ability of reasoning and problem-solving in major depressive disorder.

Ruihua Ma, Yang Luo, Sijia Liu, Xuan Wang, Hua Guo, Meng Zhao, Nan Chen, Panqi Liu, Jing Shi, Yingna Li and 5 more

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
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

15 authors at 4 institutions in 2 countries.

Ruihua MaPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.ORCID 0000-0002-9601-3345
Yang LuoPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Sijia LiuPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Xuan WangPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Hua GuoZhumadian Psychiatric Hospital, Zhumadian, Henan Province, China.
Meng ZhaoDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Nan ChenPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Panqi LiuPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Jing ShiPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Yingna LiPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Yunlong TanPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Shuping TanPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Fude YangPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Li TianInstitute of Biomedicine and Translational Medicine, Department of Physiology, Faculty of Medicine, University of Tartu, Tartu, Estonia.
Zhiren WangPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Peking University · CNCapital Medical University · CNUniversity of Tartu · EEZhumadian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExecutive function in people with depression is linked to the integrity of white matter fibers in the brain. We hypothesized that the maze tests in neuropsychological tests assessed reasoning and problem-solving abilities dependent on the integrity of brain white matter fibers, and assessed this relationship using diffusion tensor imaging (DTI) in depressed patients and healthy controls.

methodsParticipants aged from 18 to 50 years were recruited from Zhumadian Second People's Hospital from July 2018 to August 2019. The sample included 33 clinically diagnosed individuals with major depressive disorder (MDD) and 24 healthy volunteers (HVs). All subjects underwent Neuropsychological assessment battery (NAB) maze tests and DTI. Tract-based spatial statistics technology in FSL software was used to process DTI data, and threshold-free cluster enhancement (TFCE) was used to perform multiple comparison corrections. The fractional anisotropy (FA) of white matter fibers in the MDD group and HVs group were compared and extracted. Pearson correlation was used to analyze the relationship between FA and NAB scores and HAMD scores.

resultsThe mean NAB maze test score for the MDD group was lower than the HVs group, and the difference was statistically significant (F = 11.265, p = .037). The FA value of the body of corpus callosum and cerebral peduncle right in the depression group was lower than that in the healthy control group, and the difference was statistically significant (p < .05). FA value of the body of corpus callosum was positively correlated with NAB score (r = 0.400, p = .036), but not with the HAMD score (r = 0.065, p = .723).

conclusionsThe decreased ability of reasoning and problem-solving in MDD may be due to the decreased integrity of the white matter fibers of the body of the corpus callosum.

Indexed as

Major Depressive DisorderWhite MatterBrainCorpus CallosumDiffusion Tensor ImagingHumansdiffusion tensor imagingmajor depressive disorderreasoning and problem-solvingwhite matter

Identifiers

PMID37278139
PMCPMC10338770
OpenAlexW4379508634

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.