Neural Substrates of the Drift-Diffusion Model in Brain Disorders

Ankur Gupta; Rohini Bansal; Hany Alashwal; Anil Safak Kacar; Fuat Balci; Ahmed A. Moustafa

doi:10.3389/fncom.2021.678232

Neural Substrates of the Drift-Diffusion Model in Brain Disorders

Ankur Gupta, Rohini Bansal, Hany Alashwal, Anil Safak Kacar, Fuat Balci, Ahmed A. Moustafa

Department of Computer Science and Software Engineering

Research output: Contribution to journal › Review article › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Article number	678232
Journal	Frontiers in Computational Neuroscience
Volume	15
DOIs	https://doi.org/10.3389/fncom.2021.678232
Publication status	Published - Jan 7 2022

Keywords

basal ganglia
decision making
drift diffusion models
neural mechanism
prefrontal cortex

ASJC Scopus subject areas

Neuroscience (miscellaneous)
Cellular and Molecular Neuroscience

Access to Document

10.3389/fncom.2021.678232

Cite this

@article{44a819c021004dadae3edad9d8237dba,

title = "Neural Substrates of the Drift-Diffusion Model in Brain Disorders",

abstract = "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.",

keywords = "basal ganglia, decision making, drift diffusion models, neural mechanism, prefrontal cortex",

author = "Ankur Gupta and Rohini Bansal and Hany Alashwal and Kacar, {Anil Safak} and Fuat Balci and Moustafa, {Ahmed A.}",

note = "Funding Information: This work received financial support from the United Arab Emirates University (grant no. CIT 31T129). Publisher Copyright: Copyright {\textcopyright} 2022 Gupta, Bansal, Alashwal, Kacar, Balci and Moustafa.",

year = "2022",

month = jan,

day = "7",

doi = "10.3389/fncom.2021.678232",

language = "English",

volume = "15",

journal = "Frontiers in Computational Neuroscience",

issn = "1662-5188",

publisher = "Frontiers Research Foundation",

}

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.

N1 - Funding Information: This work received financial support from the United Arab Emirates University (grant no. CIT 31T129). Publisher Copyright: Copyright © 2022 Gupta, Bansal, Alashwal, Kacar, Balci and Moustafa.

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.

KW - basal ganglia

KW - decision making

KW - drift diffusion models

KW - neural mechanism

KW - prefrontal cortex

UR - http://www.scopus.com/inward/record.url?scp=85123190995&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.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 -

Neural Substrates of the Drift-Diffusion Model in Brain Disorders

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this