RT info:eu-repo/semantics/article
T1 Search for schizophrenia and bipolar biotypes using functional network properties
A1 Fernández Linsenbarth, Ines
A1 Planchuelo Gómez, Álvaro
A1 Beño Ruiz De La Sierra, Rosa María
A1 Díez Revuelta, Álvaro
A1 Arjona Valladares, Antonio
A1 Pérez, Adela
A1 Rodríguez Lorenzana, Alberto
A1 Valle López, María del Pilar del
A1 Luis García, Rodrigo de
A1 Mascialino, Guido
A1 Holgado Madera, Pedro
A1 Segarra Echevarría, Rafael
A1 Gómez Pilar, Javier
A1 Núñez Novo, Pablo
A1 Bote Boneaechea, Berta
A1 Zambrana Gómez, Antonio
A1 Roig Herrero, Alejandro
A1 Molina Rodríguez, Vicente
AB IntroductionRecent 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.MethodsA 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.ResultsWe 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 patients´ clusters in first episodes and bipolar proportions, symptoms scores, cognitive performance, or spectral entropy modulation.ConclusionThese data support the existence of a subgroup within psychosis with altered global properties of functional and structural connectivity.
SN 2162-3279
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/66446
UL https://uvadoc.uva.es/handle/10324/66446
LA spa
NO Brain and Behavior, 11(12): e2415
DS UVaDOC
RD 08-feb-2025