2026-05-05T19:47:16Zhttps://uvadoc.uva.es/oai/request
oai:uvadoc.uva.es:10324/638392025-02-17T13:56:41Zcom_10324_1181com_10324_931com_10324_894col_10324_1387
UVaDOC author Planchuelo Gómez, Álvaro author Lubeiro Juarez, Alba author Núñez Novo, Pablo author Gómez Pilar, Javier author Luis García, Rodrigo de author Valle López, María del Pilar del author Martín Santiago, Óscar author Pérez Escudero, Adela author Molina Rodríguez, Vicente 2023-12-28T10:09:28Z 2023-12-28T10:09:28Z 2020 Progress in Neuro-Psychopharmacology and Biological Psychiatry Volume 100, 8 June 2020, 109907 0278-5846 https://uvadoc.uva.es/handle/10324/63839 10.1016/j.pnpbp.2020.109907 109907 Progress in Neuro-Psychopharmacology and Biological Psychiatry 100 The identification of the cerebral substrates of psychoses such as schizophrenia and bipolar disorder is likely hampered by its biological heterogeneity, which may contribute to the low replication of results in the field. In this study we aimed to replicate in a completely new sample and supplement the results of a previous study with additional data on this topic. In the aforementioned study we identified a schizophrenia cluster characterized by high mean cortical curvature and low cortical thickness, subcortical hypometabolism and progressive negative symptoms. Here, we have used magnetic resonance images from 61 schizophrenia and 28 bipolar patients, as well as 51 healthy controls and a cluster analysis to search for possible subgroups primarily characterized by cerebral structural data. Diffusion tensor imaging (fractional anisotropy, FA), cognition, clinical data and electroencephalographic (EEG) modulation during a P300 task were used to validate the possible clusters. Two clusters of patients were identified. The first cluster (29 schizophrenia and 18 bipolar patients) showed decreased cortical thickness and area values, as well as lower subcortical volumes and higher cortical curvature in some regions, as compared to the second cluster. This first cluster also showed decreased FA in frontal lobe connections and worse cognitive performance. Although this cluster also showed longer illness duration, there were first episode patients in both clusters and treatment doses and types were not different between clusters. Both clusters of patients showed decreased EEG task-related modulation. In conclusion, our data give additional support to a distinct biologically based cluster encompassing schizophrenia and bipolar disorder patients with cortical and subcortical alterations, hampered cortical connectivity and lower cognitive performance. spa Identificacion of MRI-based psychosis subtypes: Replication and refinement info:eu-repo/semantics/article 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URL https://uvadoc.uva.es/bitstream/10324/63839/1/clusters%20RM%202020.pdf File MD5 bf917f5eed54abca5132688e5e33e60c 1276121 application/pdf clusters RM 2020.pdf