On the base of EEG records of 38 healthy subjects and 17 schizophrenic patients the statistical structural analysis of 176 elementary characteristics in all 11 spectral ranges for each of 4 experimental conditions was carried out, employing "Kora-n" recognition algorithm, adopted for EEG analysis by Kaplan. The list of characteristics with a minimal error revealed statistically significant differences between spectral power of delta- and theta-ranges in healthy subjects and schizophrenic patients. Spectral power of these slow rhythms was always higher in the formers then in the latter. As a whole, in schizophrenic patients the decrease of delta-rhythm spectral power in the lower frontal area of right hemisphere and theta-rhythm - in the lower temporal area of left hemisphere most frequently is observed. These results are in agreement with hypofrontality and hypotemporality characteristic of schizophrenic patients and testify to the lack of "fundamental" brain base of cognitive functions. These facts are evidently connected with the significant neurochemical disturbances taking place in schizophrenia.
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Brain Behav
January 2025
Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.
Purpose: The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Clinical Neuropsychiatry, Medical University of Lublin, ul. Głuska 1, 20-439, Lublin, Poland.
Schizophrenia is a serious mental disorder with a complex neurobiological background and a well-defined psychopathological picture. Despite many efforts, a definitive disease biomarker has still not been identified. One of the promising candidates for a disease-related biomarker could involve retinal morphology , given that the retina is a part of the central nervous system that is known to be affected in schizophrenia and related to multiple illness features.
View Article and Find Full Text PDFZh Nevrol Psikhiatr Im S S Korsakova
December 2024
Mental Health Research Centre, Moscow, Russia.
Objective: Identification of therapeutic targets in the treatment of adolescent depression with attenuated symptoms of schizophrenia and assessment of the effectiveness of therapeutic interventions.
Material And Methods: One hundred and twenty-three patients (mean age 19.6±2.
Biomimetics (Basel)
December 2024
Escuela Politécnica Superior de Zamora, Universidad de Salamanca, Avda, Requejo 33, 49022 Zamora, Spain.
Readmissions are an indicator of hospital care quality; a high readmission rate is associated with adverse outcomes. This leads to an increase in healthcare costs and quality of life for patients. Developing predictive models for hospital readmissions provides opportunities to select treatments and implement preventive measures.
View Article and Find Full Text PDFThe phenomenological differences in auditory hallucinations between schizophrenia and borderline personality disorder (BPD) are unclear in the existing literature, in part due to underpowered studies and heterogeneous research populations that do not represent those in the acute clinical setting. This study addresses this by using patient records to compare auditory hallucinations at the point of clinical psychiatric assessment for 341 unique patients, 165 with BPD and 176 with schizophrenia. Patients with BPD were found to have more subjectively distressing and objectively negative hallucinations, as well as more command hallucinations.
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