Evidence map›Paper›PMID 25852520›Full record

ArticleFrontiers in human neuroscience2015

Aberrant cerebellar connectivity in motor and association networks in schizophrenia.

Ann K Shinn, Justin T Baker, Kathryn E Lewandowski, Dost Öngür, Bruce M Cohen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% of its field
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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ann K ShinnSchizophrenia and Bipolar Disorder Program, Psychotic Disorders Division, McLean Hospital Belmont, MA, USA ; Department of Psychiatry, Harvard Medical School Boston, MA, USA.
Justin T BakerSchizophrenia and Bipolar Disorder Program, Psychotic Disorders Division, McLean Hospital Belmont, MA, USA ; Department of Psychiatry, Harvard Medical School Boston, MA, USA.
Kathryn E LewandowskiSchizophrenia and Bipolar Disorder Program, Psychotic Disorders Division, McLean Hospital Belmont, MA, USA ; Department of Psychiatry, Harvard Medical School Boston, MA, USA.
Dost ÖngürSchizophrenia and Bipolar Disorder Program, Psychotic Disorders Division, McLean Hospital Belmont, MA, USA ; Department of Psychiatry, Harvard Medical School Boston, MA, USA.
Bruce M CohenSchizophrenia and Bipolar Disorder Program, Psychotic Disorders Division, McLean Hospital Belmont, MA, USA ; Department of Psychiatry, Harvard Medical School Boston, MA, USA.
McLean Hospital · US

Funding

Stuart T. Hauser Research Training Program in Biological and Social Psychiatry.T32MH016259 · NIMH · JUDGE BAKER CHILDREN'S CENTER · PI Marek Kubicki, Martha E. Shenton · 1985 to 2026
$8.4M
PROGRAM FOR MINORITY RESEARCH TRAINING IN PSYCHIATRY (PMT32MH019126 · NIMH · AMERICAN PSYCHIATRIC INST FOR RES &EDUC · PI REGIER, DARREL A · 1989 to 2009
$5.3M
Probing the White Matter in Schizophrenia Using Novel MRS TechniquesR01MH094594 · NIMH · MCLEAN HOSPITAL · PI ONGUR, DOST · 2011 to 2015
$1.8M
Auditory speech and cognitive networks in hallucinators across the psychosis spectrumK23MH100611 · NIMH · MCLEAN HOSPITAL · PI SHINN, ANN KYUNGAH · 2014 to 2018
$935k
Frontoparietal Network Integrity and Risk for PsychosisK23MH104515 · NIMH · MCLEAN HOSPITAL · PI BAKER, JUSTIN T · 2014 to 2018
$907k
NIMH NIH HHS K23 MH100611NIMH NIH HHS R01 MH094594NIMH NIH HHS T32 MH016259NIMH NIH HHS T32 MH019126
6 · The paper itself

Abstract

Schizophrenia is a devastating illness characterized by disturbances in multiple domains. The cerebellum is involved in both motor and non-motor functions, and the "cognitive dysmetria" and "dysmetria of thought" models propose that abnormalities of the cerebellum may contribute to schizophrenia signs and symptoms. The cerebellum and cerebral cortex are reciprocally connected via a modular, closed-loop network architecture, but few schizophrenia neuroimaging studies have taken into account the topographical and functional heterogeneity of the cerebellum. In this study, using a previously defined 17-network cerebral cortical parcellation system as the basis for our functional connectivity seeds, we systematically investigated connectivity abnormalities within the cerebellum of 44 schizophrenia patients and 28 healthy control participants. We found selective alterations in cerebro-cerebellar functional connectivity. Specifically, schizophrenia patients showed decreased cerebro-cerebellar functional connectivity in higher level association networks (ventral attention, salience, control, and default mode networks) relative to healthy control participants. Schizophrenia patients also showed increased cerebro-cerebellar connectivity in somatomotor and default mode networks, with the latter showing no overlap with the regions found to be hypoconnected within the same default mode network. Finally, we found evidence to suggest that somatomotor and default mode networks may be inappropriately linked in schizophrenia. The relationship of these dysconnectivities to schizophrenia symptoms, such as neurological soft signs and altered sense of agency, is discussed. We conclude that the cerebellum ought to be considered for analysis in all future studies of network abnormalities in SZ, and further suggest the cerebellum as a potential target for further elucidation, and possibly treatment, of the underlying mechanisms and network abnormalities producing symptoms of schizophrenia.

Indexed as

association cortexcerebellumfunctional connectivitymotornetworksschizophrenia

Identifiers

PMID25852520
PMCPMC4364170
OpenAlexW2001009317

What OpenQuestion holds

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LicenceCC BY
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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.