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

Institut des Maladies Neurodégénératives
Hebrew University of Jerusalem
United Arab Emirates University
Koc University
University of Manitoba
Bond University
Department of Human Anatomy and Physiology
University of Johannesburg

Research output: Contribution to journal › Article › peer-review

28 Citations (Scopus)

21 Downloads (Pure)

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
Number of pages	15
Journal	Frontiers in Computational Neuroscience
Volume	15
DOIs	https://doi.org/10.3389/fncom.2021.678232
Publication status	Published - 2022

Bibliographical note

Publisher Copyright:
Copyright © 2022 Gupta, Bansal, Alashwal, Kacar, Balci and Moustafa.

Keywords

basal ganglia
decision making
drift diffusion models
neural mechanism
prefrontal cortex

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10.3389/fncom.2021.678232Licence: CC BY

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Cite this

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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.",

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AU - Balci, Fuat

AU - Moustafa, Ahmed A.

PY - 2022

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JO - Frontiers in Computational Neuroscience

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Neural substrates of the drift-diffusion model in brain disorders

Abstract

Bibliographical note

Keywords

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