ReviewFrontiers in computational neuroscience2021
Neural Substrates of the Drift-Diffusion Model in Brain Disorders.
Review in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Repetitive negative thinking is associated with conflict-related neural activity that modulates evidence accumulation.Journal of mood and anxiety disorders · 2026Article
- Longitudinal analysis of decision-making deficits in binge-eating disorders using drift diffusion modeling.Appetite · 2026Article
- Apathy, effort-based decisions and brain integrity in Alzheimer's and Parkinson's diseases.Brain : a journal of neurology · 2026Article
- Cognitive Mechanisms of Aberrant Self-Referential Social Perception in Psychosis and Bipolar Disorder: Insights From Computational Modeling.Schizophrenia bulletin · 2026Article
- Altered System-Level Integration Between Working Memory and Gaze Dynamics in Children Treated for Posterior Fossa Tumors.Psychology in Russia : state of the art · 2026Article
- The dynamics of explore-exploit decisions suggest a threshold mechanism for reduced random exploration in older adults.PLoS computational biology · 2025Article
- Optimizing the Color Shapes Task for Ambulatory Assessment and Drift Diffusion Modeling: A Factorial Experiment.JMIR formative research · 2025Article
- Disentangling sources of variability in decision-making.Nature reviews. Neuroscience · 2025Review
- Article
- Decision cost hypersensitivity underlies Huntington's disease apathy.Brain : a journal of neurology · 2025Article
- Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling and Attractor Dynamics.Schizophrenia bulletin · 2024Article
- Mapping computational cognitive profiles of aging to dissociable brain and sociodemographic factors.npj aging · 2024Article
- Perceptual Response Training for Reduction of Injury Risk Among High School Girls' Soccer Players.Brain sciences · 2024Article
- Cardiac-Sympathetic Contractility and Neural Alpha-Band Power: Cross-Modal Collaboration during Approach-Avoidance Conflict.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Preadolescent externalizing and internalizing symptoms are differentially related to drift-diffusion model parameters and neural activation during a go/no-go task.Journal of psychiatric research · 2024Article
- Crowdsourcing with the drift diffusion model of decision making.Scientific reports · 2024Article
- Impairment in recognition memory may be associated with near-term risk for suicide attempt in a high-risk sample.Journal of affective disorders · 2024Article
- Listening to the Data: Computational Approaches to Addiction and Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Review
- Article
- Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches.Neuroscience and biobehavioral reviews · 2023Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.