Evidence map›Paper›PMID 41866416›Full record

ArticleCerebellum (London, England)2026

Effective Connectivity Identifies Divergent Cerebro-Cerebellar Network Organization in Schizophrenia.

Kami Pearson, Katrina Aberizk, Cindy An, Grace Hodges, Theo G M van Erp, Vince D Calhoun, Jessica A Turner

Abstract read
In one paragraph

Article in Cerebellum (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kami PearsonDepartment of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA. Kami.Pearson@osumc.edu.
Katrina AberizkDepartment of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Cindy AnDepartment of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Grace HodgesDepartment of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Theo G M van ErpClinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
Jessica A TurnerDepartment of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

Funding

ENIGMA-COINSTAC-APOE2 Functional and structural connectome protective mechanisms for Alzheimer’s disease and mood disorders: Request for supplemental funds for NIH R01:1R01MH121246R01MH121246 · NIMH · OHIO STATE UNIVERSITY · PI CALHOUN, VINCE D, TURNER, JESS · 2019 to 2023
$5.0M
NIMH NIH HHS R01 MH121246NIMH NIH HHS R01MH121246
6 · The paper itself

Abstract

Introduction functional impairments in schizophrenia may arise from disruptions in large-scale brain networks. Emerging evidence highlights the cerebellum's role in cognitive and affective regulations, yet its directional influence remains poorly understood. This study examines effective connectivity (EC) within cortico-striato-cerebellar networks in schizophrenia and healthy adults. Methods resting-state functional magnetic resonance imaging data from the Centers of Biomedical Research Excellence (COBRE), including people with schizophrenia and healthy controls (n = 134), were used to analyze intrinsic activity and effective connectivity. Cerebellar clusters showing reduced amplitude of low frequency fluctuations (ALFF) and fractional ALFF in schizophrenia were mapped to the Buckner 17-network atlas to define regions of interest (ROIs). Along with prefrontal and striatal ROIs defined a priori, these served as nodes in Group Iterative Multiple Model Estimation (GIMME). In addition to the best-fitting model of the full sample, schizophrenia participants were stratified by symptomology according to the positive and negative syndrome scale. Results four cerebellar voxel clusters in the posterolateral and anteromedial regions showed lower ALFF/fALFF in schizophrenia compared to controls. GIMME revealed distinct intra-cerebellar and cerebello-prefrontal EC patterns in schizophrenia that were absent in controls, including novel directed paths involving the cerebellar control network representation, consistent with its emergence as a central hub. These patterns persisted across symptom-defined subgroups, suggesting core network reorganization. Conclusions findings support the cerebellum's involvement in disrupted network dynamics in schizophrenia, particularly its directional influence over prefrontal targets. EC analyses uncovered cerebellar reorganization that may underlie affective deficits in schizophrenia, offering novel targets for circuit-level interventions.

Indexed as

CerebellumCerebral CortexNerve NetSchizophreniaAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysYoung Adult

Identifiers

PMID41866416
PMCPMC13006459

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.