Objective: Patients with major depressive disorder tend to exhibit poorer decision-making capacity than the general population, but neurobiological evidence is lacking. Functional near-infrared spectroscopy monitors changes in oxy-haemoglobin concentration in the cerebral cortex. It may provide an objective assessment of neurophysiological responses during decision-making processes. Thus, this study investigated the effect of major depressive disorder diagnosis and severity on prefrontal cortex activity during the Iowa gambling task.
Methods: Right-handed healthy controls ( = 25) and patients with major depressive disorder ( = 25) were matched for age, gender, ethnicity and years of education in this cross-sectional study. Functional near-infrared spectroscopy signals and the responses made during a computerised Iowa gambling task were recorded. In addition, demographics, clinical history and symptom severity were noted.
Results: Compared to healthy controls, patients with major depressive disorder had reduced haemodynamic response in several cortical regions of the frontal lobe (Hedge's range from 0.71 to 1.52; values range from ⩽0.001 to 0.041). Among patients, mean oxy-haemoglobin declined with major depressive disorder severity in the right orbitofrontal cortex (Pearson's = -0.423; = 0.024).
Conclusion: Haemodynamic dysfunction of the prefrontal cortex during decision-making processes is associated with major depressive disorder diagnosis and severity. These neurophysiological alterations may have a role in the decision-making capacity of patients with major depressive disorder.
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http://dx.doi.org/10.1177/0004867420976856 | DOI Listing |
J Int Med Res
January 2025
Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Objective: To evaluate whether there is an association between maternal mental health, purchase of psychotropic drugs, socioeconomic status and major congenital anomalies in offspring.
Methods: A register-based cohort study of 6189 Finnish primiparous women who had a singleton delivery between 2009 and 2015. Data on pregnancy and delivery outcomes, psychiatric diagnosis, prescription drug purchases and offspring congenital anomalies were obtained from Finnish national registers.
Acta Med Philipp
December 2024
Department of Psychiatry and Behavioral Medicine, Philippine General Hospital, University of the Philippines Manila.
Objectives: This study aims to determine the prevalence of psychiatric disorders in the sample population in a barangay in the City of Balanga, Bataan using the MINI International and Neuropsychiatric Interview and to describe the profile of those with psychiatric disorders based on sociodemographic and health characteristics.
Methods: This is a cross sectional study from Barangay Tenejero, City of Balanga, Bataan done in 2019. Systematic random sampling was done where all zones were included.
Front Child Adolesc Psychiatry
April 2024
New York State Psychiatric Institute and Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, United States.
Background: Depression is a major public health concern for adolescents, who exhibit low rates of connection to care despite significant needs. Although barriers to help-seeking such as stigma are well documented, interventions to address stigma and to increase help-seeking behavior are insufficient. Dissemination of short videos in social media offer a promising approach, but designing effective stimuli requires better insight into adolescents' perspectives of their own experiences, barriers, and possible interventions.
View Article and Find Full Text PDFInt J Technol Assess Health Care
January 2025
Department of Industrial and Systems Engineering, University of Washington, Seattle, WA, USA.
Objectives: Advances in mobile apps, remote sensing, and big data have enabled remote monitoring of mental health conditions, but the cost-effectiveness is unknown. This study proposed a systematic framework integrating computational tools and decision-analytic modeling to assess cost-effectiveness and guide emerging monitoring technologies development.
Methods: Using a novel decision-analytic Markov-cohort model, we simulated chronic depression patients' disease progression over 2 years, allowing treatment modifications at follow-up visits.
JMIR Ment Health
January 2025
Laboratoire SANPSY, CNRS, UMR 6033, Université de Bordeaux-Centre Hospitalier Universitaire Pellegrin de Bordeaux, Bordeaux, France.
Background: Fully automated digital interventions delivered via smartphone apps have proven efficacious for a wide variety of mental health outcomes. An important aspect is that they are accessible at a low cost, thereby increasing their potential public impact and reducing disparities. However, a major challenge to their successful implementation is the phenomenon of users dropping out early.
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