[en] 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.
Disciplines :
Psychiatry
Author, co-author :
Planchuelo-Gómez, Álvaro; Imaging Processing Laboratory, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
Lubeiro, Alba; Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain
Nunez Novo, Pablo ; Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
Gomez-Pilar, Javier; Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain, Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
de Luis-García, Rodrigo; Imaging Processing Laboratory, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
Del Valle, Pilar; Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain, Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
Martín-Santiago, Óscar; Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain, Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
Pérez-Escudero, Adela; Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain, Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
Molina, Vicente; Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain, Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain, Neurosciences Institute of Castilla y León (INCYL), Pintor Fernando Gallego, 1, 37007, University of Salamanca, Spain. Electronic address: vicente.molina@uva.es
Language :
English
Title :
Identificacion of MRI-based psychosis subtypes: Replication and refinement.
Publication date :
08 June 2020
Journal title :
Progress in Neuro-Psychopharmacology and Biological Psychiatry
ISCIII - Instituto de Salud Carlos III [ES] JCYL - Junta de Castilla y León [ES] ESF - European Social Fund [BE]
Funding text :
This work was supported by the Instituto Carlos III ( PI15/00299 and PI 18/00178 ), the Gerencia Regional de Salud de Castilla y León ( GRS 1721/A/18 and GRS 1933/A/19 ) and the Consejería de Educación de la Junta de Castilla y León ( VA05P17 grant).This work was supported by the Instituto Carlos III (PI15/00299 and PI 18/00178), the Gerencia Regional de Salud de Castilla y Le?n (GRS 1721/A/18 and GRS 1933/A/19) and the Consejer?a de Educaci?n de la Junta de Castilla y Le?n (VA05P17 grant).?PG was supported by the Junta de Castilla y Le?n (Spain) and the European Social Fund (ID: 376062, Base de Datos Nacional de Subvenciones). PNN was in receipt of a predoctoral scholarship ?Ayuda para contratos predoctorales para la Formaci?n de Profesorado Universitario (FPU)? grant from the ?Ministerio de Educaci?n, Cultura y Deporte? (FPU17/00850). JGP was supported by 'CIBER de Bioingenier?a, Biomateriales y Nanomedicina (CIBER-BBN)' through 'Instituto de Salud Carlos III' co-funded with FEDER fundsÁPG was supported by the Junta de Castilla y León (Spain) and the European Social Fund (ID: 376062 , Base de Datos Nacional de Subvenciones). PNN was in receipt of a predoctoral scholarship ‘ Ayuda para contratos predoctorales para la Formación de Profesorado Universitario (FPU) ’ grant from the ‘ Ministerio de Educación, Cultura y Deporte ’ ( FPU17/00850 ). JGP was supported by ' CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN) ' through 'Instituto de Salud Carlos III' co-funded with FEDER funds
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