TY - JOUR
T1 - Neural Substrates of the Drift-Diffusion Model in Brain Disorders
AU - Gupta, Ankur
AU - Bansal, Rohini
AU - Alashwal, Hany
AU - Kacar, Anil Safak
AU - Balci, Fuat
AU - Moustafa, Ahmed A.
PY - 2022/1/7
Y1 - 2022/1/7
N2 - Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified analysis of both accuracy and response times. This review provides an in-depth account of the recent advances in DDM research which ground different DDM parameters on several brain areas, including the cortex and basal ganglia. Furthermore, we discuss the changes in DDM parameters due to structural and functional impairments in several clinical disorders, including Parkinson's disease, Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorders, Obsessive-Compulsive Disorder (OCD), and schizophrenia. This review thus uses DDM to provide a theoretical understanding of different brain disorders.
AB - Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified analysis of both accuracy and response times. This review provides an in-depth account of the recent advances in DDM research which ground different DDM parameters on several brain areas, including the cortex and basal ganglia. Furthermore, we discuss the changes in DDM parameters due to structural and functional impairments in several clinical disorders, including Parkinson's disease, Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorders, Obsessive-Compulsive Disorder (OCD), and schizophrenia. This review thus uses DDM to provide a theoretical understanding of different brain disorders.
UR - http://www.scopus.com/inward/record.url?scp=85123190995&partnerID=8YFLogxK
U2 - 10.3389/fncom.2021.678232
DO - 10.3389/fncom.2021.678232
M3 - Review article
AN - SCOPUS:85123190995
SN - 1662-5188
VL - 15
JO - Frontiers in Computational Neuroscience
JF - Frontiers in Computational Neuroscience
M1 - 678232
ER -