Prediction, Psychosis, and the Cerebellum.
Cerebellum
Corollary discharge
Internal model
Prediction
Psychosis
Schizophrenia
Journal
Biological psychiatry. Cognitive neuroscience and neuroimaging
ISSN: 2451-9030
Titre abrégé: Biol Psychiatry Cogn Neurosci Neuroimaging
Pays: United States
ID NLM: 101671285
Informations de publication
Date de publication:
09 2019
09 2019
Historique:
received:
13
03
2019
revised:
30
05
2019
accepted:
01
06
2019
entrez:
10
9
2019
pubmed:
10
9
2019
medline:
3
7
2020
Statut:
ppublish
Résumé
An increasingly influential hypothesis posits that many of the diverse symptoms of psychosis can be viewed as reflecting dysfunctional predictive mechanisms. Indeed, to perceive something is to take a sensory input and make a prediction of the external source of that signal; thus, prediction is perhaps the most fundamental neural computation. Given the ubiquity of prediction, a more challenging problem is to specify the unique predictive role or capability of a particular brain structure. This question is relevant when considering recent claims that one aspect of the predictive deficits observed in psychotic disorders might be related to cerebellar dysfunction, a subcortical structure known to play a critical role in predictive sensorimotor control and perhaps higher-level cognitive function. Here, we review evidence bearing on this question. We first focus on clinical, behavioral, and neuroimaging findings suggesting cerebellar involvement in psychosis and, specifically, schizophrenia. We then review a relatively novel line of research exploring whether computational models of cerebellar motor function can also account for cerebellar involvement in higher-order human cognition, and in particular, language function. We end the review by highlighting some key gaps in these literatures, limitations that currently preclude strong conclusions regarding cerebellar involvement in psychosis.
Identifiants
pubmed: 31495402
pii: S2451-9022(19)30147-8
doi: 10.1016/j.bpsc.2019.06.001
pmc: PMC8289739
mid: NIHMS1720748
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
820-831Subventions
Organisme : NINDS NIH HHS
ID : R01 NS092079
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS105839
Pays : United States
Informations de copyright
Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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