Evidence map›Paper›PMID 40579374›Full record

ArticleSchizophrenia bulletin2026

More Severe Brain Network Hierarchy Disorganization in Treatment-Naive Deficit Compared to Non-deficit Schizophrenia and Underlying Neurotransmitter Associations.

Chengmin Yang, Lusi Zhang, Jiajun Liu, Kun Li, Siyi Li, Zhipeng Yang, Jeffrey R Bishop, Wei Deng, Li Yao, Su Lui and 1 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Chengmin YangDepartment of Radiology, Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China.
Lusi ZhangDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, United States.ORCID 0000-0003-3716-9021
Jiajun LiuCollege of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China.
Kun LiShandong Daizhuang Hospital, Jining 272075, China.
Siyi LiDepartment of Radiology, Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China.
Zhipeng YangCollege of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China.
Jeffrey R BishopDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, United States.
Wei DengAffiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China.
Li YaoDepartment of Radiology, Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China.
Su LuiDepartment of Radiology, Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China.ORCID 0000-0003-3541-1769
Qiyong GongDepartment of Radiology, Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China.ORCID 0000-0002-5912-4871

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Chengdu Science and Technology Office, major technology application demonstration project 2022-GH03-00017-HZChengdu Science and Technology Office, major technology application demonstration project 2022-YF09-00062-SNFundamental Research Funds for the Central Universities ZYGX2022YGRH008Humboldt Foundation Friedrich Wilhelm Bessel Research Award and Chang Jiang Scholars T2019069National Key Research and Development Program of China 2022YFC2009900National Key Research and Development Program of China 2022YFC2009901National Natural Science Foundation of China 82071908National Natural Science Foundation of China 82102007National Natural Science Foundation of China 82120108014National Natural Science Foundation of China 82202110NCATS NIH HHS UL1 TR002494Postdoctoral Fellowship Program of CPSF GZB20240493Sichuan Science and Technology Program 2021JDTD0002West China Hospital, Sichuan University ZYAI24010West China Hospital, Sichuan University ZYGD23003
6 · The paper itself

Abstract

background and hypothesisDeficit schizophrenia (DS) represents a distinct entity characterized by primary and enduring negative symptoms, yet the neurobiological differences between DS and non-DS (NDS) remain undetermined. Using a gradient-based approach, we hypothesize that DS and NDS will exhibit convergent and divergent brain functional hierarchy patterns, each with a specific underlying neurotransmitter architecture. STUDY

designResting-state functional magnetic resonance imaging images were acquired from 44 treatment-naive DS, 55 treatment-naive NDS, and 60 matched healthy controls (HCs). Gradient metrics were calculated using the BrainSpace toolbox. The spatial correlation between gradient abnormalities in DS or NDS and density maps of 10 neurotransmitters derived by the JuSpace toolbox was analyzed to link the neuroimaging to underlying neurotransmitter information. STUDY

resultsBoth DS and NDS exhibited compressed gradient patterns compared to HC, suggesting reduced network differentiation, with more severe disorganization in DS. The ventral attention network was associated with depression symptoms in DS, whereas the visual network was related to total, general, and paranoid symptom scores in NDS. Moreover, spatial correlation of neurotransmitter analysis revealed that the gradient alterations of DS were primarily related to the serotonergic system while those of NDS were predominantly associated with the dopamine system.

conclusionsThe study suggests that independent from the potential effects of antipsychotic medication, DS and NDS are characterized by different neuropathology in brain hierarchy patterns, potentially linked to neurochemical metabolic distinction. Our findings support the hypothesis that DS is a distinct subtype versus NDS from neurodevelopmental perspective.

Indexed as

BrainNerve NetNeurotransmitter AgentsSchizophreniaAdultFemaleHumansMagnetic Resonance ImagingMaleYoung AdultNeurotransmitter Agentsdeficit schizophreniafunctional gradientheterogeneityneurotransmitternon-deficit schizophreniapsychoradiology

Identifiers

PMID40579374
PMCPMC12809795

What OpenQuestion holds

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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.