Cargando…
Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization
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 healt...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155100/ https://www.ncbi.nlm.nih.gov/pubmed/30242220 http://dx.doi.org/10.1038/s41467-018-06350-7 |
_version_ | 1783357824566296576 |
---|---|
author | Cao, Hengyi Chén, Oliver Y. Chung, Yoonho Forsyth, Jennifer K. McEwen, Sarah C. Gee, Dylan G. Bearden, Carrie E. Addington, Jean Goodyear, Bradley Cadenhead, Kristin S. Mirzakhanian, Heline Cornblatt, Barbara A. Carrión, Ricardo E. Mathalon, Daniel H. McGlashan, Thomas H. Perkins, Diana O. Belger, Aysenil Seidman, Larry J. Thermenos, Heidi Tsuang, Ming T. van Erp, Theo G. M. Walker, Elaine F. Hamann, Stephan Anticevic, Alan Woods, Scott W. Cannon, Tyrone D. |
author_facet | Cao, Hengyi Chén, Oliver Y. Chung, Yoonho Forsyth, Jennifer K. McEwen, Sarah C. Gee, Dylan G. Bearden, Carrie E. Addington, Jean Goodyear, Bradley Cadenhead, Kristin S. Mirzakhanian, Heline Cornblatt, Barbara A. Carrión, Ricardo E. Mathalon, Daniel H. McGlashan, Thomas H. Perkins, Diana O. Belger, Aysenil Seidman, Larry J. Thermenos, Heidi Tsuang, Ming T. van Erp, Theo G. M. Walker, Elaine F. Hamann, Stephan Anticevic, Alan Woods, Scott W. Cannon, Tyrone D. |
author_sort | Cao, Hengyi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6155100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61551002018-09-28 Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization Cao, Hengyi Chén, Oliver Y. Chung, Yoonho Forsyth, Jennifer K. McEwen, Sarah C. Gee, Dylan G. Bearden, Carrie E. Addington, Jean Goodyear, Bradley Cadenhead, Kristin S. Mirzakhanian, Heline Cornblatt, Barbara A. Carrión, Ricardo E. Mathalon, Daniel H. McGlashan, Thomas H. Perkins, Diana O. Belger, Aysenil Seidman, Larry J. Thermenos, Heidi Tsuang, Ming T. van Erp, Theo G. M. Walker, Elaine F. Hamann, Stephan Anticevic, Alan Woods, Scott W. Cannon, Tyrone D. Nat Commun Article 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. Nature Publishing Group UK 2018-09-21 /pmc/articles/PMC6155100/ /pubmed/30242220 http://dx.doi.org/10.1038/s41467-018-06350-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cao, Hengyi Chén, Oliver Y. Chung, Yoonho Forsyth, Jennifer K. McEwen, Sarah C. Gee, Dylan G. Bearden, Carrie E. Addington, Jean Goodyear, Bradley Cadenhead, Kristin S. Mirzakhanian, Heline Cornblatt, Barbara A. Carrión, Ricardo E. Mathalon, Daniel H. McGlashan, Thomas H. Perkins, Diana O. Belger, Aysenil Seidman, Larry J. Thermenos, Heidi Tsuang, Ming T. van Erp, Theo G. M. Walker, Elaine F. Hamann, Stephan Anticevic, Alan Woods, Scott W. Cannon, Tyrone D. Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization |
title | Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization |
title_full | Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization |
title_fullStr | Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization |
title_full_unstemmed | Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization |
title_short | Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization |
title_sort | cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6155100/ https://www.ncbi.nlm.nih.gov/pubmed/30242220 http://dx.doi.org/10.1038/s41467-018-06350-7 |
work_keys_str_mv | AT caohengyi cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT chenolivery cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT chungyoonho cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT forsythjenniferk cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT mcewensarahc cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT geedylang cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT beardencarriee cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT addingtonjean cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT goodyearbradley cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT cadenheadkristins cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT mirzakhanianheline cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT cornblattbarbaraa cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT carrionricardoe cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT mathalondanielh cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT mcglashanthomash cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT perkinsdianao cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT belgeraysenil cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT seidmanlarryj cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT thermenosheidi cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT tsuangmingt cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT vanerptheogm cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT walkerelainef cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT hamannstephan cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT anticevicalan cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT woodsscottw cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization AT cannontyroned cerebellothalamocorticalhyperconnectivityasastateindependentfunctionalneuralsignatureforpsychosispredictionandcharacterization |