Neurophysiological Predictors of Behavior Change in Type 2 Diabetes

Type 2 diabetes mellitus (T2DM) is associated not only with metabolic and cardiovascular complications but also with accelerated cognitive aging and impairments in executive functions essential for effective self-management. Emerging evidence suggests that alterations in neuroplasticity, particularly within prefrontal brain networks, may compromise health decision-making and adherence to lifestyle interventions, creating a detrimental feedback loop between brain dysfunction and diabetes care.The goal of this Research Topic is to advance the clinical translation of neurophysiological and neurocognitive knowledge to improve behavior change, self-management, and lifestyle adherence in individuals with T2DM. Specifically, this collection aims to integrate neuroscience, behavioral science, and clinical diabetes research to identify neural, cognitive, and physiological markers that can inform personalized treatment approaches and explain variability in treatment adherence and clinical outcomes.Submissions should explicitly connect neurocognitive or neurophysiological measures to diabetes self-management behaviors and/or clinically meaningful diabetes outcomes.Suitable themes for manuscripts include (but are not limited to): • Neural correlates of health decision-making, self-regulation, and inhibitory control in diabetes care• Cognitive impairments as barriers to diabetes self-management education and support (DSMES)• Longitudinal associations between brain function, glycemic control, and lifestyle adherence• Neurophysiological predictors of response to lifestyle and exercise-based interventions• Integration of behavior change models (e.g., stages of change, self-efficacy) with clinical neuroscience• Multimodal interventions combining education, exercise, diet, and medication adherence• Digital health tools and technology-assisted interventions informed by neurobehavioral mechanisms• Translational approaches linking neurophysiological biomarkers to personalized diabetes careThis Research Topic particularly encourages interdisciplinary work that bridges clinical diabetes care with neuroscience, exercise science, and behavioral medicine. Studies focusing on older adults, individuals at risk for cognitive decline, and populations with cardiometabolic comorbidities are especially welcome. The overarching aim is to inform more effective, personalized, and sustainable strategies to improve diabetes self-management, cognitive health, and overall healthspan. Topic editors: Danylo Ferreira Cabral, Peter J Fried, Edoardo Lecce Source: https://www.frontiersin.org/research-topics/80548/neurophysiological-predictors-of-behavior-change-in-type-2-diabetes