Evidence map›Paper›PMID 42229247›Full record

ArticleNeuroImage. Clinical2026

Cerebellar structure is abnormal in schizophrenia and deviates from bipolar disorder.

Mahmoud Rashidi, Jayden Morales, Zachary Brodnick, Vince D Calhoun, Robert Christian Wolf, Bryon A Mueller, Caroline Demro, Scott R Sponheim, Jessica A Turner

Abstract readComparative Study
In one paragraph

Article in NeuroImage. Clinical, 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

9 authors.

Mahmoud RashidiDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA. Electronic address: mahmoud.rashidi@osumc.edu.
Jayden MoralesDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA.
Zachary BrodnickDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA.
Vince D CalhounCenter for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Emory University, and Georgia Institute of Technology, Georgia, USA.
Robert Christian WolfDepartment of General Psychiatry, Heidelberg University, Heidelberg, Germany; University Hospital for Psychiatry and Psychotherapy III, Ulm University, Germany; DZPG, German Center for Mental Health, partner site Mannheim/Heidelberg/Ulm (ZIHUb), Germany.
Bryon A MuellerDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Caroline DemroDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Scott R SponheimDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Jessica A TurnerDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cerebellum has been implicated in schizophrenia-related structural and functional deficits, with posterior Crus I and II most consistently affected. Source-based morphometry (SBM) involves applying independent component analysis to gray matter volume to identify spatially distinct structural networks that covary across individuals. We applied SBM and voxel-based morphometry (VBM) to cerebellar structural imaging data to identify patterns of gray matter differences across individuals with schizophrenia (SZ), bipolar disorder with psychotic features (BDwP), and healthy controls (HC). Data were drawn from the Psychosis Human Connectome Project (P-HCP) and included 168 participants: 85 with SZ, 36 with BDwP, and 47 HC. T1-weighted images were processed using the ENIGMA Cerebellum Volumetrics Pipeline, and ICA decompositions were performed using the SBM module of the GIFT Toolbox. One independent component (IC) showed a significant diagnostic group effect (p < 0.05, Bonferroni-corrected), differentiating SZ from HC and BDwP. This cerebellar network included vermis VIIIa, bilateral Crus I, and right lobule IX with positive loadings, and bilateral Crus I and lobule IX with negative loadings. Voxel-based morphometry showed reduced GM volume in negatively loaded regions in SZ. Composite cognitive performance correlated with GM volume (r = 0.27, p < 0.001) and network loadings (r = -0.29, p < 0.001). Mediation analyses showed a strong direct diagnostic effect on IC loadings (-0.42), with small, nonsignificant indirect effects via cognition. These findings identify a cerebellar structural network that differentiates schizophrenia from bipolar disorder and controls, underscoring the cerebellum's unique contribution to the neurobiology of schizophrenia.

Indexed as

Bipolar DisorderCerebellumConnectomeMagnetic Resonance ImagingSchizophreniaAdultCase-Control StudiesFemaleGray MatterHumansMaleMiddle AgedOrgan SizeBipolar disorderCerebellumGray matterMRISchizophreniaSource-based morphometry

Identifiers

PMID42229247
PMCPMC13251700

What Socratic holds

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LicenceCC BY-NC-ND
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.