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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...

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Autores principales: 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.
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
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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.
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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
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