Cerebello-thalamo-cortical Hyperconnectivity as a State-independent Functional Neural Signature for Psychosis Prediction and Characterization.
Details
Serval ID
serval:BIB_EF768B7EC3E1
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Cerebello-thalamo-cortical Hyperconnectivity as a State-independent Functional Neural Signature for Psychosis Prediction and Characterization.
Journal
Nature communications
ISSN
2041-1723 (Electronic)
ISSN-L
2041-1723
Publication state
Published
Issued date
21/09/2018
Peer-reviewed
Oui
Volume
9
Number
1
Pages
3836
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Abstract
Understanding the fundamental alterations in brain functioning that lead to psychotic disorders remains a major challenge in clinical neuroscience. In particular, it is unknown whether any state-independent biomarkers can potentially predict the onset of psychosis and distinguish patients from healthy controls, regardless of paradigm. Here, using multi-paradigm fMRI data from the North American Prodrome Longitudinal Study consortium, we show that individuals at clinical high risk for psychosis display an intrinsic "trait-like" abnormality in brain architecture characterized as increased connectivity in the cerebello-thalamo-cortical circuitry, a pattern that is significantly more pronounced among converters compared with non-converters. This alteration is significantly correlated with disorganization symptoms and predictive of time to conversion to psychosis. Moreover, using an independent clinical sample, we demonstrate that this hyperconnectivity pattern is reliably detected and specifically present in patients with schizophrenia. These findings implicate cerebello-thalamo-cortical hyperconnectivity as a robust state-independent neural signature for psychosis prediction and characterization.
Keywords
Brain/abnormalities, Case-Control Studies, Cohort Studies, Connectome, Humans, Magnetic Resonance Imaging, Principal Component Analysis, Psychotic Disorders/diagnostic imaging, Psychotic Disorders/etiology, Schizophrenia/diagnostic imaging, Schizophrenia/etiology
Pubmed
Web of science
Open Access
Yes
Create date
11/01/2024 18:05
Last modification date
18/01/2024 15:09