[en] Schizophrenia and bipolar disorder include patients with different characteristics, which may hamper the definition of biomarkers. One of the dimensions with greater heterogeneity among these patients is cognition. Recent studies support the identification of different patients' subgroups along the cognitive domain using cluster analysis. Our aim was to validate clusters defined on the basis of patients' cognitive status and to assess its relation with demographic, clinical and biological measurements. We hypothesized that subgroups characterized by different cognitive profiles would show differences in an array of biological data. Cognitive data from 198 patients (127 with chronic schizophrenia, 42 first episodes of schizophrenia and 29 bipolar patients) were analyzed by a K-means cluster approach and were compared on several clinical and biological variables. We also included 155 healthy controls for further comparisons. A two-cluster solution was selected, including a severely impaired group and a moderately impaired group. The severely impaired group was associated with higher illness duration and symptoms scores, lower thalamus and hippocampus volume, lower frontal connectivity and basal hypersynchrony in comparison to controls and the moderately impaired group. Moreover, both patients' groups showed lower cortical thickness and smaller functional connectivity modulation than healthy controls. This study supports the existence of different cognitive subgroups within the psychoses with different neurobiological underpinnings.
Disciplines :
Psychiatry
Author, co-author :
Fernández-Linsenbarth, Inés ; Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
Planchuelo-Gómez, Álvaro ; Imaging Processing Laboratory, University of Valladolid, Valladolid, Spain
Díez, Álvaro; Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
Arjona-Valladares, Antonio; Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
de Luis, Rodrigo; Imaging Processing Laboratory, University of Valladolid, Valladolid, Spain
Martín-Santiago, Óscar; Psychiatry Service, Clinical Hospital of Valladolid, Valladolid, Spain
Benito-Sánchez, José Antonio ; Psychiatry Service, Clinical Hospital of Salamanca, Salamanca, Spain
Pérez-Laureano, Ángela; Psychiatry Service, Clinical Hospital of Salamanca, Salamanca, Spain
González-Parra, David; Psychiatry Service, Clinical Hospital of Salamanca, Salamanca, Spain
Montes-Gonzalo, Carmen; Neurophysiology Service, Clinical Hospital of Salamanca, Salamanca, Spain
Melero-Lerma, Raquel; Psychiatry Service, Hospital Río Carrión, Palencia, Spain
Morante, Sonia Fernández; Psychiatry Service, Doce de Octubre Hospital, Madrid, Spain
Sanz-Fuentenebro, Javier; Psychiatry Service, Doce de Octubre Hospital, Madrid, Spain
Gómez-Pilar, Javier; Biomedical Engineering Group, University of Valladolid, Valladolid, Spain, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Spain
Nunez Novo, Pablo ; Biomedical Engineering Group, University of Valladolid, Valladolid, Spain, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Spain
Molina, Vicente ; Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain, Psychiatry Service, Clinical Hospital of Valladolid, Valladolid, Spain, Neurosciences Institute of Castilla y León (INCYL), University of Salamanca, Salamanca, Spain. Electronic address: vicente.molina@uva.es
ISCIII - Instituto de Salud Carlos III ESF - European Social Fund JCYL - Junta de Castilla y León
Funding text :
This work was supported by the following grants: “ Instituto de Salud Carlos III ” (grant ID PI18/00178 ), “ Gerencia Regional de Salud de Castilla y León ” (grant ID GRS 1721/A/18 ), Predoctoral grant “Ayuda para contratos predoctorales para la formación de Profesorado Universitario (FPU)” from the “ Ministerio de Educación, Cultura y Deporte ” (grant ID FPU17/00850 to PNN), CIBER-BBN (ISCIII), co-funded with FEDER funds, and by predoctoral grants from the “ Consejería de Educación, Junta de Castilla y León ” (Spain) and the European Social Fund (grant IDs VA-183-18 to IFL and 376062 to ÁPG). Funding sources had no other role than financial support providers.This work was supported by the following grants: “Instituto de Salud Carlos III” (grant ID PI18/00178), “Gerencia Regional de Salud de Castilla y León” (grant ID GRS 1721/A/18), Predoctoral grant “Ayuda para contratos predoctorales para la formación de Profesorado Universitario (FPU)” from the “Ministerio de Educación, Cultura y Deporte” (grant ID FPU17/00850 to PNN), CIBER-BBN (ISCIII), co-funded with FEDER funds, and by predoctoral grants from the “Consejería de Educación, Junta de Castilla y León” (Spain) and the European Social Fund (grant IDs VA-183-18 to IFL and 376062 to ÁPG). Funding sources had no other role than financial support providers.
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