Objective: Impaired executive functioning (EF) has often been reported in patients with major depression or schizophrenia. We hypothesize that the variance in EF is more affected by level of general psychopathology than by diagnosis.
Method: Forty-three patients with major depression and 47 with schizophrenia were included. EF was measured with Wisconsin Card Sorting Test, Stroop Colour Word Test, Paced Auditory Serial Addition Test, Digits Backwards and Controlled Oral Word Association Test. The level of general psychopathology was measured with Brief Psychiatric Rating Scale - Expanded and Positive and Negative Syndrome Scale, the General psychopathology subscale.
Results: The level of general psychopathology predicted more of the variance in EF than diagnosis. In multivariate analyses, the effect of general psychopathology on EF was more robust for adjustment for diagnosis than vice versa.
Conclusion: Future research on cognitive functioning in psychiatric patients should include level of general psychopathology to avoid overemphasising effects of diagnoses.
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http://dx.doi.org/10.1111/j.1600-0447.2004.00389.x | DOI Listing |
Perfusion
January 2025
Department of Pediatrics, Yale Medicine, Pediatric Critical Care Medicine, New Haven, CT, USA.
Extracorporeal Membrane Oxygenation (ECMO) use is associated with substantial psychiatric morbidity in patients and their families. This systematic review and meta-analysis quantifies the prevalence of post-traumatic stress disorder (PTSD), anxiety, and depression among ECMO survivors and their families. Included studies enrolled patients on ECMO or their families and reported at least one trauma-related psychopathology.
View Article and Find Full Text PDFBrain
January 2025
Department of Child and Adolescent Psychopathology, CHU de Lyon, F-69000 Lyon, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, F-69000 Lyon, France.
Computational neuropsychiatry is a leading discipline to explain psychopathology in terms of neuronal message passing, distributed processing, and belief propagation in neuronal networks. Active Inference (AI) has been one of the ways of representing this dysfunctional signal processing. It involves that all neuronal processing and action selection can be explained by maximizing Bayesian model evidence, or minimizing variational free energy.
View Article and Find Full Text PDFJ Headache Pain
January 2025
Department of Psychology, University of Innsbruck, Innsbruck, Austria.
Background: Headache is one of the most common post-concussion symptoms following pediatric traumatic brain injury (TBI). To better understand its impact on young individuals, this study aims to investigate the prevalence of headache in a German-speaking post-acute pediatric TBI sample and compare it with the general population. In addition, factors associated with the development of pediatric post-TBI headache are investigated to improve the understanding of this condition.
View Article and Find Full Text PDFPLoS One
January 2025
Interdisciplinary Centre Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Objectives: Functional Disorders (FD) are highly prevalent conditions that are diagnosed based on the presence of specific patterns of somatic symptoms. Examples of FDs include Fibromyalgia and Irritable Bowel Syndrome. Many patients who meet the criteria do not receive a formal diagnostic label.
View Article and Find Full Text PDFMounting evidence suggests hierarchical psychopathology factors underlying psychiatric comorbidity. However, the exact neurobiological characterizations of these multilevel factors remain elusive. In this study, leveraging the brain-behavior predictive framework with a 10-year longitudinal imaging-genetic cohort (IMAGEN, ages 14, 19 and 23, = 1,750), we constructed two neural factors underlying externalizing and internalizing symptoms, which were reproducible across six clinical and population-based datasets (ABCD, STRATIFY/ ESTRA, ABIDE II, ADHD-200 and XiNan, from age 10 to age 36, = 3,765).
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