Evidence map›Paper›PMID 41039822›Full record

ArticlePsychological medicine2025

Network localization of genetic risk for schizophrenia and bipolar disorder.

Shanwen Yao, Fan Mo, Zhonghao Rao, Yu Shi, Jiajia Zhu, Yongqiang Yu

Abstract read
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. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

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

  1. 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

6 authors.

Shanwen YaoDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Fan MoDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei, China.ORCID 0009-0005-6811-739X
Zhonghao RaoDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yu ShiDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jiajia ZhuDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yongqiang YuDepartment of Radiology, https://ror.org/03t1yn780The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

National Natural Science Foundation of China 82371928National Natural Science Foundation of China 82471952Natural Science Foundation of Anhui Province 2308085MH277
6 · The paper itself

Abstract

backgroundThere is a considerable overlap in clinical features and genetics between schizophrenia (SZ) and bipolar disorder (BD). Previous neuroimaging research has demonstrated common and distinct brain damage patterns between relatives (RELs) of SZ and BD patients, suggesting shared and differential genetic influences on the brain. Despite an increasing recognition that disorders localize better to distributed brain networks than individual brain regions, studies investigating network localization of genetic risk for SZ and BD are still lacking.

methodsTo address this gap, we initially identified brain functional and structural damage locations in SZ- and BD-RELs from 103 published studies with 2364 SZ-RELs, 864 BD-RELs, and 4114 healthy controls. By applying novel functional connectivity network mapping to large-scale discovery and validation resting-state functional MRI datasets, we mapped these affected brain locations to four disorder-susceptibility networks.

resultsSZ-susceptibility functional damage network primarily involved the executive control and salience networks, while its BD-counterpart principally implicated the default mode and basal ganglia networks. SZ-susceptibility structural damage network predominantly involved the auditory and default mode networks, yet its BD-counterpart mainly implicated the language and executive control networks. Although these networks showed cross-disorder inconsistencies when focusing on either imaging modality alone, the combined SZ- and BD-susceptibility brain damage networks had a substantially increased spatial similarity.

conclusionsThese findings may support the concept that SZ and BD represent distinct diagnostic categories from a neurobiological perspective, helping to clarify the common network substrates via which the shared genetic mechanisms underlying both disorders give rise to their overlapping clinical phenotypes.

Indexed as

Bipolar DisorderBrainGenetic Predisposition to DiseaseNerve NetSchizophreniaAdultBrain MappingFamilyFemaleHumansMagnetic Resonance ImagingMalebipolar disorderfunctional connectivity network mappinggenetic riskneuroimagingschizophrenia

Identifiers

PMID41039822
PMCPMC12527508

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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.