Evidence map›Paper›PMID 34374427›Full record

SynthesisSchizophrenia bulletin2022

A Comparative Multimodal Meta-analysis of Anisotropy and Volume Abnormalities in White Matter in People Suffering From Bipolar Disorder or Schizophrenia.

Guorui Zhao, Way K W Lau, Chanyu Wang, Haifeng Yan, Chichen Zhang, Kangguang Lin, Shijun Qiu, Ruiwang Huang, Ruibin Zhang

Open access · hybridAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in Schizophrenia bulletin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  9. If Freud had known….Frontiers in psychology · 2025
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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

9 authors at 6 institutions in 2 countries.

Guorui ZhaoLaboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.
Way K W LauDepartment of Special Education and Counselling, The Education University of Hong Kong, Hong Kong, China.
Chanyu WangLaboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.
Haifeng YanLaboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.
Chichen ZhangSchool of Management, Southern Medical University, Guangzhou, China.ORCID 0000-0003-1095-9939
Kangguang LinDepartment of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Shijun QiuDepartment of Radiology, The First Affiliated Hospital of Guangzhou Chinese traditional Medical University, Guangzhou, China.
Ruiwang HuangSchool of Psychology, South China Normal University, Guangzhou, China.
Ruibin ZhangLaboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.
Southern Medical University · CNEducation University of Hong Kong · HKFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CNGuangzhou Medical University · CNSouth China Normal University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia (SZ) and bipolar disorder (BD) share some similarities in terms of genetic-risk genes and abnormalities of gray-matter structure in the brain, but white matter (WM) abnormalities have not been studied in depth. We undertook a comparative multimodal meta-analysis to identify common and disorder-specific abnormalities in WM structure between SZ and BD. Anisotropic effect size-signed differential mapping software was used to conduct a comparative meta-analysis of 68 diffusion tensor imaging (DTI) and 34 voxel-based morphometry (VBM) studies comparing fractional anisotropy (FA) and white matter volume (WMV), respectively, between patients with SZ (DTI: N = 1543; VBM: N = 1068) and BD (DTI: N = 983; VBM: N = 518) and healthy controls (HCs). The bilateral corpus callosum (extending to the anterior and superior corona radiata) showed shared decreased WMV and FA in SZ and BD. Compared with BD patients, SZ patients showed remarkable disorder-specific WM abnormalities: decreased FA and increased WMV in the left cingulum, and increased FA plus decreased WMV in the right anterior limb of the internal capsule. SZ patients showed more extensive alterations in WM than BD cases, which may be the pathophysiological basis for the clinical continuity of both disorders. The disorder-specific regions in the left cingulum and right anterior limb of the internal capsule provided novel insights into both disorders. Our study adds value to further understanding of the pathophysiology, classification, and differential diagnosis of SZ and BD.

Indexed as

AdultBipolar DisorderDiffusion Tensor ImagingFemaleHumansMaleSchizophreniaWhite Matterbipolar disorderdiffusion tensor imagingfiber crossingschizophreniavoxel-based morphometrywhite matter microstructure

Identifiers

PMID34374427
PMCPMC8781378
OpenAlexW3191259850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.