Revealing the Spatial Pattern of Brain Hemodynamic Sensitivity to Healthy Aging through Sparse Dynamic Causal Model

• Published in: The Journal of neuroscience Vol. 45; no. 1; p. e1940232024
• Main Authors: Baron, Giorgia, Silvestri, Erica, Benozzo, Danilo, Chiuso, Alessandro, Bertoldo, Alessandra
• Format: Journal Article
• Language: English
• Published: United States Society for Neuroscience 01.01.2025
• Subjects: Adolescent; Adult; Age; Aged; Aging; Aging - physiology; Brain; Brain - blood supply; Brain - diagnostic imaging; Brain - physiology; Brain mapping; Connectome - methods; Female; Females; Functional magnetic resonance imaging; Healthy Aging - physiology; Hemispheric laterality; Hemodynamic responses; Hemodynamics; Hemodynamics - physiology; Heterogeneity; Humans; Image processing; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Middle Aged; Models, Neurological; Neuroimaging; Neurovascular Coupling - physiology; Prediction models; Regression models; Response functions; Sensitivity; Sensitivity analysis; Spatial heterogeneity; Young Adult; hemodynamic response function; dynamic causal modelling; aging

Age-related changes in the BOLD response could reflect neurovascular coupling modifications rather than simply impairments in neural functioning. In this study, we propose the use of a sparse dynamic causal model (sDCM) to decouple neuronal and vascular factors in the BOLD signal, with the aim of ch...