Evidence map›Paper›PMID 40437012›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2025

Distinct structural deficits in treatment-resistant schizophrenia and their putative neurotransmitter basis: a source-based morphometry analysis.

Huan Huang, Xiaowei Wang, Xuan Qin, Rui Xu, Ying Xiong, Cheng Chen, Qirong Wan, Hao Liu, Chang Shu, Wei Yuan and 4 more

Abstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

14 authors.

Huan HuangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0003-2071-5954
Xiaowei WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Xuan QinDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Rui XuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Ying XiongDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Cheng ChenDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Qirong WanDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Hao LiuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Chang ShuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Wei YuanDepartment of Psychiatry, Yidu People's Hospital, Yidu, China.
Yunlong PengDepartment of Psychiatry, Yidu People's Hospital, Yidu, China.
Yuan ZhouInstitute of Psychology, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-6378-1711
Huiling WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China. hlwang@whu.edu.cn.ORCID http://orcid.org/0000-0003-4176-8043
Lena PalaniyappanDouglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada. lena.palaniyappan@mcgill.ca.ORCID http://orcid.org/0000-0003-1640-7182

Funding

Department of Science and Technology, Hubei Provincial People's Government (Hubei Provincial Department of Science and Technology) 2023BCB133National Natural Science Foundation of China (National Science Foundation of China) 82471523
6 · The paper itself

Abstract

Schizophrenia is associated with widespread gray matter reduction. This is influenced by the underlying connectivity, resulting in covarying patterns of structural changes that are more pronounced in treatment-resistant individuals. However, it remains uncertain whether a distinct network of brain regions, with specific neurotransmitter basis, forms the substrate for treatment resistance in schizophrenia. We investigated the structural covariance networks (SCN) in 198 individuals; 55 with treatment-resistant schizophrenia (TRS) and 79 without TRS (non-TRS) in active symptomatic phase, and 64 healthy controls (HC) using Calhoun's Source-Based Morphometry. We mapped the putative neurotransmitter basis of the SCNs using a PET-based chemoarchitectural atlas. Twelve independent components (i.e., SCNs) were identified. A prefrontal-limbic SCN had lower gray matter volume (GMV) in TRS compared to HC and non-TRS (F = 7.757, p < 0.001, FDR-corrected). Spatial correlation with chemoarchitectural atlas revealed predominant contributions from serotonergic [5HT

Indexed as

BrainGray MatterNeurotransmitter AgentsSchizophreniaSchizophrenia, Treatment-ResistantAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyYoung AdultNeurotransmitter Agents

Identifiers

PMID40437012
PMCPMC12518641

What OpenQuestion holds

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Registered trials

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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.