Cognitive Behavioral Therapy Commons^™

Nurse-Led Cbt For Depression In Heart Transplant Patients: A Feasibility Study, Matthew R. Wallace

DNP Projects

Background: Heart transplant recipients are at an elevated risk of experiencing depressive symptoms compared to the general population. Those with depression post-transplant face increased complications, e.g., infection, organ rejection, prolonged hospitalization, and higher mortality rates. However, specific psychotherapeutic interventions tailored for heart transplant recipients remain limited. Nevertheless, there is substantial evidence supporting the effectiveness of various interventions for adults with heart failure, a condition frequently diagnosed in these patients. This suggests that successful strategies for managing depressive symptoms in heart failure patients could be adapted for heart transplant recipients.

Purpose: The purpose of this project was to evaluate …

Effect Of Problematic Smartphone Usage On Reaction Time And Critical Flicker Fusion Frequency Among Medical Undergraduate Students In Chennai, South India - A Cross-Sectional Study, Saisubramanian Abeetha, Angappan Suba, Mourali Chitra, Chirag D Jain, Saisubramanian Sadhana

Health Professions Education

Purpose: Smartphones are vital for communication and learning, especially among medical students, but excessive use can cause physical, psychological, and cognitive issues. Problematic Smartphone Usage (PSU), marked by compulsive use, is linked to attention deficits and reduced cognitive function. Reaction Time (RT) reflects sensory-motor speed, while Critical Flicker Fusion Frequency (CFFF) indicates sensory processing and neural fatigue. Prolonged smartphone use may impair these parameters. Despite growing concern, data on PSU’s impact on RT and CFFF in medical students is limited. This study explores their association among undergraduates in Chennai.

Methods: This cross-sectional study was conducted among 402 medical undergraduate students …

Obesity Prediction From Structural Mri Using Conformal Deep Learning With Uncertainty Quantification, W. Farzana, A. G. A. Temtam, B. Humud-Arboleda, L. Ma, M. Bean, F. Gerard Moeller, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Obesity arises from a neurobehavioral disorder in which the brain’s regulation of hunger and food intake is impaired, leading to an imbalance between energy consumption and expenditure. One key phenotype associated with obesity is body mass index (BMI). BMI is influenced by multiple causal pathways driven by behavioral, metabolic, and genetic factors. Traditional obesity prediction studies often rely on magnetic resonance imaging (MRI) voxel-based morphometry to correlate BMI with obesity-related clinical measurements and brain structure, predominantly gray matter volume (GMV). However, the altered brain regions are variable and widespread between studies, with some literature presenting contradictory results between BMI and …