Evidence map›Paper›PMID 39729483›Full record

ArticleSchizophrenia bulletin2025

Effects on Multimodal Connectivity Patterns in Female Schizophrenia During 8 Weeks of Antipsychotic Treatment.

Shuzhan Gao, Yunkai Sun, Fan Wu, Jing Jiang, Ting Peng, Rongrong Zhang, Chenxi Ling, Yanlin Han, Qing Xu, Lulu Zou and 6 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

16 authors.

Shuzhan GaoDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yunkai SunDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.
Fan WuDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Jing JiangDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Ting PengDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Rongrong ZhangDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Chenxi LingDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yanlin HanDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Qing XuDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Lulu ZouDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yanhui LiaoDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.
Chuang LiangCollege of Computer Science and Technology and the Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Daoqiang ZhangCollege of Computer Science and Technology and the Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Shile QiCollege of Computer Science and Technology and the Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Jinsong TangDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.ORCID 0000-0003-3796-1377
Xijia XuDepartment of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.ORCID 0000-0002-0598-7188

Funding

16th Batch of Six Talent Peak Projects in Jiangsu WSN-166Key Research and Development Plan in Jiangsu BE2022677Nanjing Health Technology Development Project YKK23138National Key R&D Program of China 2016YFC1306900National Natural Science Foundation of China 82172061Training and Management of Young Talents in Nanjing Brain Hospital 23-25-289
6 · The paper itself

Abstract

background and hypothesisRespective abnormal structural connectivity (SC) and functional connectivity (FC) have been reported in individuals with schizophrenia. However, transmodal associations between SC and FC following antipsychotic treatment, especially in female schizophrenia, remain unclear. We hypothesized that increased SC-FC coupling may be found in female schizophrenia, and could be normalized after antipsychotic treatment. STUDY

designSixty-four female drug-naïve patients with first-diagnosed schizophrenia treated with antipsychotic drugs for 8 weeks, and 55 female healthy controls (HCs) were enrolled. Magnetic resonance imaging (MRI) data were collected from HCs at baseline and from patients at baseline and after treatment. SC and FC were analyzed by network-based statistics, calculating nonzero SC-FC coupling of the whole brain and altered connectivity following treatment. Finally, an Elastic-net logistic regression analysis was employed to establish a predictive model for evaluating the clinical efficacy treatment. STUDY

resultsAt baseline, female schizophrenia patients exhibited abnormal SC in cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, and limbic-cerebellar connectivity compared to HCs, while FC showed no abnormalities. Following treatment, cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, temporal-cerebellar, and limbic-cerebellar connectivity were altered in both SC and FC. Additionally, SC-FC coupling of altered connectivity was higher in patients at baseline than in HC, trending toward normalization after treatment. Furthermore, identified FC or/and SC predicted changes in psychopathological symptoms and cognitive impairment among female schizophrenia following treatment.

conclusionsSC-FC coupling may be a potential predictive biomarker of treatment response. Cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, temporal-cerebellar, and limbic-cerebellar could represent major targets for antipsychotic drugs in female schizophrenia.

Indexed as

Antipsychotic AgentsBrainConnectomeNerve NetOutcome Assessment, Health CareSchizophreniaAdultFemaleHumansMagnetic Resonance ImagingYoung AdultAntipsychotic Agentsantipsychotic drugfemale schizophreniamultimodalnetworkstructural/functional connectivity

Identifiers

PMID39729483
PMCPMC12061653

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.