Evidence map›Paper›PMID 34525195›Full record

ArticleSchizophrenia bulletin2022

Cerebello-Thalamo-Cortical Hyperconnectivity Classifies Patients and Predicts Long-Term Treatment Outcome in First-Episode Schizophrenia.

Hengyi Cao, Xia Wei, Na Hu, Wenjing Zhang, Yuan Xiao, Jiaxin Zeng, John A Sweeney, Rebekka Lencer, Su Lui, Qiyong Gong

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  8. Microstructural Alterations of the Cerebellum-Ventral Tegmental Area Pathways in First-Episode Psychosis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
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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

10 authors.

Hengyi CaoHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Xia WeiHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Na HuHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Wenjing ZhangHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-2046-3948
Yuan XiaoHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Jiaxin ZengHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
John A SweeneyHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Rebekka LencerDepartment of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany.
Su LuiHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-5912-4871
Qiyong GongHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has previously been shown that cerebello-thalamo-cortical (CTC) hyperconnectivity is likely a state-independent neural signature for psychosis. However, the potential clinical utility of this change has not yet been evaluated. Here, using fMRI and clinical data acquired from 214 untreated first-episode patients with schizophrenia (62 of whom were clinically followed-up at least once at the 12th and 24th months after treatment initiation) and 179 healthy controls, we investigated whether CTC hyperconnectivity would serve as an individualized biomarker for diagnostic classification and prediction of long-term treatment outcome. Cross-validated LASSO regression was conducted to estimate the accuracy of baseline CTC connectivity for patient-control classification, with the generalizability of classification performance tested in an independent sample including 42 untreated first-episode patients and 65 controls. Associations between baseline CTC connectivity and clinical outcomes were evaluated using linear mixed model and leave-one-out cross validation. We found significantly increased baseline CTC connectivity in patients (P = .01), which remained stable after treatment. Measures of CTC connectivity discriminated patients from controls with moderate classification accuracy (AUC = 0.68, P < .001), and the classification model had good generalizability in the independent sample (AUC = 0.70, P < .001). Higher CTC connectivity at baseline significantly predicted poorer long-term symptom reduction in negative symptoms (R = 0.31, P = .01) but not positive or general symptoms. These findings provide initial evidence for the putative "CTC hyperconnectivity" anomaly as an individualized diagnostic and prognostic biomarker for schizophrenia, and highlight the potential of this measure in precision psychiatry.

Indexed as

AdolescentAdultArea Under CurveCerebellumCerebral CortexFemaleHumansMagnetic Resonance ImagingMaleNerve NetROC CurveSchizophreniaThalamusTreatment Outcomecerebellumdiagnostic biomarkerfunctional connectivityprognostic biomarker/schizophreniathalamus

Identifiers

PMID34525195
PMCPMC8886592

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.