Evidence map›Paper›PMID 40831310›Full record

ArticlePsychological medicine2025

Impact of schizophrenia-associated risk genes on brain functional networks and executive deficits: a study of individuals with schizophrenia and genetic high risk.

Ting Sun, Yue Zhu, Pengfei Zhao, Wenhui Zhao, Linzi Liu, Lili Tang, Mengxue Li, Yixiao Xu, Pengshuo Wang, Yifan Zhang and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Ting SunDepartment of Psychiatry, https://ror.org/0202bj006Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yue ZhuEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Pengfei ZhaoEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Wenhui ZhaoDepartment of Psychiatry, https://ror.org/0202bj006Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Linzi LiuDepartment of Psychiatry, https://ror.org/0202bj006Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Lili TangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Mengxue LiDepartment of Psychiatry, https://ror.org/0202bj006Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yixiao XuDepartment of Psychiatry, https://ror.org/04wjghj95The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Pengshuo WangDepartment of Psychiatry, https://ror.org/04wjghj95The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Yifan ZhangDepartment of Psychiatry, https://ror.org/04wjghj95The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
Yuning ZhouDepartment of Psychiatry, https://ror.org/0202bj006Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yifang ZhouDepartment of Psychiatry, https://ror.org/0202bj006Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Jujiao KangInstitute of Science and Technology for Brain-Inspired Intelligence, https://ror.org/013q1eq08Fudan University, Shanghai, China.
Xiaohong GongState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.
Fei WangEarly Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yanqing TangDepartment of Psychiatry, https://ror.org/0202bj006Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.ORCID 0000-0002-1331-4936

Funding

Natural Science Foundation of Liaoning Province 2022-YGJC-40
6 · The paper itself

Abstract

backgroundSchizophrenia (SCZ) and genetic high-risk (GHR) individuals exhibit deficits in brain functional networks and cognitive function, potentially impacted by SCZ risk genes. This study aims to delineate these impairments in SCZ and GHR individuals, and further explore how risk genes affect brain networks and executive function.

methodsA total sample size of 292 participants (100 SCZ, 68 GHR, and 124 healthy controls [HCs]) in the study. The Wisconsin Card Sorting Test (WCST) and resting-state functional magnetic resonance imaging (rs-fMRI) are utilized to evaluate executive function and brain network topology. SCZ-related polygenic risk scores (SCZ-PRS) were used to evaluate genetic risk levels. WCST and PRS were not applied to all participants.

resultsSignificant reductions in nodal efficiency and degree centrality (D

conclusionsThis study highlights the pivotal role of impaired cingulate function in mediating the effects of genetic risks on executive deficits, offering new insights into the genetic-neuro-cognitive nexus in schizophrenia and potential targets for clinical interventions.

Indexed as

BrainCognitive DysfunctionExecutive FunctionGyrus CinguliNerve NetSchizophreniaAdultFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleMultifactorial InheritanceWisconsin Card Sorting TestYoung Adultbrain networkscognitive functionfunctional neuroimagingpolygenic risk scoresschizophrenia

Identifiers

PMID40831310
PMCPMC12404332

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.