Estimating premorbid intelligence in schizophrenia is difficult because the illness affects aspects of premorbid and postmorbid functioning. We evaluated two qualitatively different estimates of premorbid intelligence in a sample of schizophrenia patients and tested whether: (1) the two indices were related and produced similar IQ estimates, and (2) either index was related to a measure of cognitive deterioration. The Barona Index (BI, a demographically-based instrument) and the National Adult Reading Test (NART, a reading test of irregularly-spelled words) were utilized. Subjects (n = 40) were adult neuroleptic-medicated inpatients with a DSM-III-R diagnosis of chronic schizophrenia (n = 35) or schizoaffective disorder (n = 5). Paired t-tests revealed statistically equivalent BI and NART estimates for Full Scale and Verbal IQs, but significantly higher NART Performance IQs (t[35] = -3.34, p < 0.01). Correlational analyses suggested the two indices were associated but shared modest variance. BI correlations revealed expected associations with education and social position. NART IQs were related to education and a measure of cognitive status. Regression analyses supported the association between NART estimates and cognitive deterioration. Results suggest BI may be a better estimate of premorbid intelligence in schizophrenia as it is less influenced by potential consequences of the disease.
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http://dx.doi.org/10.1016/s0920-9964(96)00058-8 | DOI Listing |
Comput Biol Med
January 2025
Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA; Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA; Institute for Artificial Intelligence and Data Science, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA; Witebsky Center for Microbial Pathogenesis and Immunology, University at Buffalo, The State University of New York, Buffalo, NY, 14203, USA; Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, 14215, USA. Electronic address:
Probl Radiac Med Radiobiol
December 2024
State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Yuriia Illienka Str., Kyiv, 04050, Ukraine.
Objective: to study the features of cognitive disorders in the remote period following exposure to ionizing radiation (IR) in the elderly participants of the liquidation of the consequences of the Chornobyl NPP accident (Chornobyl clean-up workers) with chronic cerebrovascular disorders.
Materials And Methods: The retrospective and prospective cohort study with the external and internal controlgroups. The randomized sample of the male elderly participants (attained age more than 60 years old) in liquidationof the consequences of the accident (Chornobyl clean-up workers, liquidators) at the Chornobyl nuclear power plant(ChNPP) in 1986-1987 (main group, n = 52) recruited from the Clinico-epidemiological registry (CER) of StateInstitution «National Research Center for Radiation Medicine, Hematology and Oncology of The National Academyof Medical Sciences of Ukraine» (NRCRMHO) with verified chronic cerebrovascular disorders (CVD) was examined.
Epilepsia
December 2024
Clinic for Intensive Care Medicine, Department of Acute Care, University Hospital Basel, Basel, Switzerland.
Objective: Large language models (LLMs) have recently gained attention for clinical decision-making and diagnosis. This study evaluates the performance of the recently updated LLM (ChatGPT-4o) in predicting clinical outcomes in patients with status epilepticus and compares its prognostic performance to the Status Epilepticus Severity Score (STESS).
Methods: This retrospective single-center cohort study was performed at the University Hospital Basel (tertiary academic medical center) from January 2005 to December 2022.
Arch Clin Neuropsychol
December 2024
Traumatic Brain Injury Center of Excellence, Silver Spring, MD, USA.
Objective: To examine correlates of the discrepancy between subjective cognitive complaints and processing speed performance in a sample of military personnel with and without traumatic brain injury (TBI).
Method: About 235 U.S.
Clin EEG Neurosci
January 2025
Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mismatch negativity (MMN) has gained attention as a biomarker for psychosis and a translational intermediate phenotype in animal models of psychosis, including rodents and non-human primates. MMN has been linked to global functioning (Global Assessment of Functioning [GAF] score) and prognosis (psychosis onset or remission), suggesting that MMN reflects activities beyond auditory processing alone. This review examines the 45-year history of MMN from the perspective of psychiatric researchers and discusses current advances in computational and translational research on MMN, summarizing the current understanding of the MMN generation mechanism.
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