Evidence map›Paper›PMID 37339983›Full record

ArticleTranslational psychiatry2023

Structure-function coupling in white matter uncovers the abnormal brain connectivity in Schizophrenia.

Jiajia Zhao, Chu-Chung Huang, Yajuan Zhang, Yuchen Liu, Shih-Jen Tsai, Ching-Po Lin, Chun-Yi Zac Lo

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 29 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

7 authors at 5 institutions in 2 countries.

Jiajia ZhaoInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0002-3668-6222
Chu-Chung HuangShanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China. czhuang@psy.ecnu.edu.cn.ORCID 0000-0002-9096-9610
Yajuan ZhangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Yuchen LiuInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Shih-Jen TsaiDepartment of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID 0000-0002-9987-022X
Ching-Po LinInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chun-Yi Zac LoDepartment of Biomedical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan. zaclocy@gmail.com.ORCID 0000-0003-3288-6259
Fudan University · CNNational Yang Ming Chiao Tung University · TWChung Yuan Christian University · TWShanghai Changning Mental Health Center · CNShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is characterized by dysconnectivity syndrome. Evidence of widespread impairment of structural and functional integration has been demonstrated in schizophrenia. Although white matter (WM) microstructural abnormalities have been commonly reported in schizophrenia, the dysfunction of WM as well as the relationship between structure and function in WM remains uncertain. In this study, we proposed a novel structure-function coupling measurement to reflect neuronal information transfer, which combined spatial-temporal correlations of functional signals with diffusion tensor orientations in the WM circuit from functional and diffusion magnetic resonance images (MRI). By analyzing MRI data from 75 individuals with schizophrenia (SZ) and 89 healthy volunteers (HV), the associations between structure and function in WM regions in schizophrenia were examined. Randomized validation of the measurement was performed in the HV group to confirm the capacity of the neural signal transferring along the WM tracts, referring to quantifying the association between structure and function. Compared to HV, SZ showed a widespread decrease in the structure-function coupling within WM regions, involving the corticospinal tract and the superior longitudinal fasciculus. Additionally, the structure-function coupling in the WM tracts was found to be significantly correlated with psychotic symptoms and illness duration in schizophrenia, suggesting that abnormal signal transfer of neuronal fiber pathways could be a potential mechanism of the neuropathology of schizophrenia. This work supports the dysconnectivity hypothesis of schizophrenia from the aspect of circuit function, and highlights the critical role of WM networks in the pathophysiology of schizophrenia.

Indexed as

Psychotic DisordersSchizophreniaWhite MatterBrainDiffusion Tensor ImagingHumans

Identifiers

PMID37339983
PMCPMC10281980
OpenAlexW4381470751

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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.