Search for schizophrenia and bipolar biotypes using functional network properties

Introduction: Recent studies support the identification of valid subtypes within schizophrenia and bipolar disorder using cluster analysis. Our aim was to identify meaningful biotypes of psychosis based on network properties of the electroencephalogram. We hypothesized that these parameters would be...

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Autores: Fernández-Linsenbarth, Inés, Planchuelo-Gómez, Álvaro, Beño-Ruiz-de-la-Sierra, Rosa M., Díez, Álvaro, Arjona-Valladares, Antonio, Pérez, Adela, Rodríguez Lorenzana, Alberto, Valle, Pilar del, Luis-García, Rodrigo de, Mascialino, Guido, Holgado-Madera, Pedro, Segarra-Echevarría, Rafael, Gómez-Pilar, Javier, Núñez, Pablo, Bote-Boneaechea, Berta, Zambrana-Gómez, Antonio, Roig-Herrero, Alejandro, Molina, Vicente
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:dnet:academicae__::e514e139ccd747b3affa0e88bea02740
Acceso en línea:https://hdl.handle.net/2454/56877
Access Level:acceso abierto
Palabra clave:Biotypes
Bipolar disorder
Diffusion
Electroencephalogram
Network
Schizophrenia
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spelling Search for schizophrenia and bipolar biotypes using functional network propertiesFernández-Linsenbarth, InésPlanchuelo-Gómez, ÁlvaroBeño-Ruiz-de-la-Sierra, Rosa M.Díez, ÁlvaroArjona-Valladares, AntonioPérez, AdelaRodríguez Lorenzana, AlbertoValle, Pilar delLuis-García, Rodrigo deMascialino, GuidoHolgado-Madera, PedroSegarra-Echevarría, RafaelGómez-Pilar, JavierNúñez, PabloBote-Boneaechea, BertaZambrana-Gómez, AntonioRoig-Herrero, AlejandroMolina, VicenteBiotypesBipolar disorderDiffusionElectroencephalogramNetworkSchizophreniaIntroduction: Recent studies support the identification of valid subtypes within schizophrenia and bipolar disorder using cluster analysis. Our aim was to identify meaningful biotypes of psychosis based on network properties of the electroencephalogram. We hypothesized that these parameters would be more altered in a subgroup of patients also characterized by more severe deficits in other clinical, cognitive, and biological measurements. Methods: A clustering analysis was performed using the electroencephalogram-based network parameters derived from graph-theory obtained during a P300 task of 137 schizophrenia (of them, 35 first episodes) and 46 bipolar patients. Both prestimulus and modulation of the electroencephalogram were included in the analysis. Demographic, clinical, cognitive, structural cerebral data, and the modulation of the spectral entropy of the electroencephalogram were compared between clusters. Data from 158 healthy controls were included for further comparisons. Results: We identified two clusters of patients. One cluster presented higher prestimulus connectivity strength, clustering coefficient, path-length, and lower small-world index compared to controls. The modulation of clustering coefficient and path-length parameters was smaller in the former cluster, which also showed an altered structural connectivity network and a widespread cortical thinning. The other cluster of patients did not show significant differences with controls in the functional network properties. No significant differences were found between patientst’ clusters in first episodes and bipolar proportions, symptoms scores, cognitive performance, or spectral entropy modulation. Conclusion: These data support the existence of a subgroup within psychosis with altered global properties of functional and structural connectivity.This work was supported by the following grants: 'Instituto de Salud Carlos III' grant number PI18/00178, 'Gerencia Regional de Salud de Castilla y León' grant number GRS 1721/A/18, and by predoctoral grants from the 'Consejería de Educación - Junta de Castilla y León' and the European Social Fund grant numbers VA-183-18 to Inés Fernández-Linsenbarth, 376062 to Álvaro Planchuelo-Gómez, and VA-223-19 to Rosa M. Beño-Ruiz-de-la-Sierra. We appreciate the collaboration of patients and healthy controls in our research.WileyCiencias de la SaludOsasun Zientziak2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/mswordhttps://hdl.handle.net/2454/56877reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/PI18%2F00178© 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:academicae__::e514e139ccd747b3affa0e88bea027402026-06-17T12:41:47Z
dc.title.none.fl_str_mv Search for schizophrenia and bipolar biotypes using functional network properties
title Search for schizophrenia and bipolar biotypes using functional network properties
spellingShingle Search for schizophrenia and bipolar biotypes using functional network properties
Fernández-Linsenbarth, Inés
Biotypes
Bipolar disorder
Diffusion
Electroencephalogram
Network
Schizophrenia
title_short Search for schizophrenia and bipolar biotypes using functional network properties
title_full Search for schizophrenia and bipolar biotypes using functional network properties
title_fullStr Search for schizophrenia and bipolar biotypes using functional network properties
title_full_unstemmed Search for schizophrenia and bipolar biotypes using functional network properties
title_sort Search for schizophrenia and bipolar biotypes using functional network properties
dc.creator.none.fl_str_mv Fernández-Linsenbarth, Inés
Planchuelo-Gómez, Álvaro
Beño-Ruiz-de-la-Sierra, Rosa M.
Díez, Álvaro
Arjona-Valladares, Antonio
Pérez, Adela
Rodríguez Lorenzana, Alberto
Valle, Pilar del
Luis-García, Rodrigo de
Mascialino, Guido
Holgado-Madera, Pedro
Segarra-Echevarría, Rafael
Gómez-Pilar, Javier
Núñez, Pablo
Bote-Boneaechea, Berta
Zambrana-Gómez, Antonio
Roig-Herrero, Alejandro
Molina, Vicente
author Fernández-Linsenbarth, Inés
author_facet Fernández-Linsenbarth, Inés
Planchuelo-Gómez, Álvaro
Beño-Ruiz-de-la-Sierra, Rosa M.
Díez, Álvaro
Arjona-Valladares, Antonio
Pérez, Adela
Rodríguez Lorenzana, Alberto
Valle, Pilar del
Luis-García, Rodrigo de
Mascialino, Guido
Holgado-Madera, Pedro
Segarra-Echevarría, Rafael
Gómez-Pilar, Javier
Núñez, Pablo
Bote-Boneaechea, Berta
Zambrana-Gómez, Antonio
Roig-Herrero, Alejandro
Molina, Vicente
author_role author
author2 Planchuelo-Gómez, Álvaro
Beño-Ruiz-de-la-Sierra, Rosa M.
Díez, Álvaro
Arjona-Valladares, Antonio
Pérez, Adela
Rodríguez Lorenzana, Alberto
Valle, Pilar del
Luis-García, Rodrigo de
Mascialino, Guido
Holgado-Madera, Pedro
Segarra-Echevarría, Rafael
Gómez-Pilar, Javier
Núñez, Pablo
Bote-Boneaechea, Berta
Zambrana-Gómez, Antonio
Roig-Herrero, Alejandro
Molina, Vicente
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ciencias de la Salud
Osasun Zientziak
dc.subject.none.fl_str_mv Biotypes
Bipolar disorder
Diffusion
Electroencephalogram
Network
Schizophrenia
topic Biotypes
Bipolar disorder
Diffusion
Electroencephalogram
Network
Schizophrenia
description Introduction: Recent studies support the identification of valid subtypes within schizophrenia and bipolar disorder using cluster analysis. Our aim was to identify meaningful biotypes of psychosis based on network properties of the electroencephalogram. We hypothesized that these parameters would be more altered in a subgroup of patients also characterized by more severe deficits in other clinical, cognitive, and biological measurements. Methods: A clustering analysis was performed using the electroencephalogram-based network parameters derived from graph-theory obtained during a P300 task of 137 schizophrenia (of them, 35 first episodes) and 46 bipolar patients. Both prestimulus and modulation of the electroencephalogram were included in the analysis. Demographic, clinical, cognitive, structural cerebral data, and the modulation of the spectral entropy of the electroencephalogram were compared between clusters. Data from 158 healthy controls were included for further comparisons. Results: We identified two clusters of patients. One cluster presented higher prestimulus connectivity strength, clustering coefficient, path-length, and lower small-world index compared to controls. The modulation of clustering coefficient and path-length parameters was smaller in the former cluster, which also showed an altered structural connectivity network and a widespread cortical thinning. The other cluster of patients did not show significant differences with controls in the functional network properties. No significant differences were found between patientst’ clusters in first episodes and bipolar proportions, symptoms scores, cognitive performance, or spectral entropy modulation. Conclusion: These data support the existence of a subgroup within psychosis with altered global properties of functional and structural connectivity.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/56877
url https://hdl.handle.net/2454/56877
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/PI18%2F00178
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/msword
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
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repository.mail.fl_str_mv
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