Evidence map›Paper›PMID 40037577›Full record

ArticleSchizophrenia bulletin2026

Default Mode Network, Disorganization, and Treatment-Resistant Schizophrenia.

Huan Huang, Xuan Qin, Rui Xu, Ying Xiong, Keke Hao, Cheng Chen, Qirong Wan, Hao Liu, Wei Yuan, Yunlong Peng and 3 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 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

13 authors.

Huan HuangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0003-2071-5954
Xuan QinDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Rui XuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Ying XiongDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Keke HaoDepartment of Neurobiology and Department of Psychiatry of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Cheng ChenDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Qirong WanDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Hao LiuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wei YuanDepartment of Psychiatry, Yidu People's Hospital, Yidu 443300, China.
Yunlong PengDepartment of Psychiatry, Yidu People's Hospital, Yidu 443300, China.
Yuan ZhouInstitute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Huiling WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Lena PalaniyappanDepartment of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec H4H 1R3, Canada.ORCID 0000-0003-1640-7182

Funding

Health Commission of Hubei Province scientific research project WJ2021M142Hubei Provincial Science and Technology Plan Project 2023BCB133Interdisciplinary Innovative Talents Foundation from Renmin Hospital of Wuhan University JCRCFZ-2022-003Medical Science Advancement Program of Wuhan University TFLC2018001National Natural Science Foundation of China 82471523
6 · The paper itself

Abstract

background and hypothesisDisorganized thinking is a prominent feature of schizophrenia that becomes persistent in the presence of treatment resistance. Disruption of the default mode network (DMN), which regulates self-referential thinking, is now a well-established feature of schizophrenia. However, we do not know if DMN disruption affects disorganization and contributes to treatment-resistant schizophrenia (TRS). STUDY

designThis study investigated the DMN in 48 TRS, 76 non-TRS, and 64 healthy controls (HC) using a spatiotemporal approach with resting-state functional magnetic resonance imaging. We recovered DMN as an integrated network using multivariate group independent component analysis and estimated its loading coefficient (reflecting spatial prominence) and Shannon Entropy (reflecting temporal variability). Additionally, voxel-level analyses were conducted to examine network homogeneity and entropy within the DMN. We explored the relationship between DMN measures and disorganization using regression analysis.

resultsTRS had higher spatial loading on population-level DMN pattern, but lower entropy compared to HC. Non-TRS patients showed intermediate DMN alterations, not significantly differing from either TRS or HC. No voxel-level differences were noted between TRS and non-TRS, emphasizing the continuum between the two groups. DMN's loading coefficient was higher in patients with more severe disorganization.

conclusionsTRS may represent the most severe end of a spectrum of spatiotemporal DMN dysfunction in schizophrenia. While excessive spatial contribution of the DMN (high loading coefficient) is specifically associated with disorganization, both excessive spatial contribution and exaggerated temporal stability of DMN are features of schizophrenia that become more pronounced with refractoriness to first-line treatments.

Indexed as

ConnectomeDefault Mode NetworkNerve NetSchizophreniaSchizophrenia, Treatment-ResistantAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung Adultclozapinecomplexityformal thought disorderpredictabilitypsychosistriple network

Identifiers

PMID40037577
PMCPMC12809848

What Socratic holds

Textmetadata
LicenceCC BY
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.