ArticlePloS one2016
A Computational Cognitive Biomarker for Early-Stage Huntington's Disease.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Executive Impairment in Huntington's Disease: Insights From a Systematic Review of the Literature.Brain and behavior · 2026Pooled it
- Strategy and processing speed eclipse individual differences in control ability in conflict tasks.Journal of experimental psychology. Learning, memory, and cognition · 2022Pooled it
- HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neurocognitive Modeling.bioRxiv : the preprint server for biology · 2026Article
- Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.bioRxiv : the preprint server for biology · 2026Article
- Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults With Remitted Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Review
- Cognitive Signatures of Depressive and Anhedonic Symptoms and Affective States Using Computational Modeling and Neurocognitive Testing.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Cognitive reserve involves decision making and is associated with left parietal and hippocampal hypertrophy in neurodegeneration.Communications biology · 2024Article
- Modeling brain dynamics and gaze behavior: Starting point bias and drift rate relate to frontal midline theta oscillations.NeuroImage · 2023Article
- Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms.Cognitive, affective & behavioral neuroscience · 2023Article
- Huntington disease exacerbates action impulses.Frontiers in psychology · 2023Article
- A new approach to digitized cognitive monitoring: validity of the SelfCog in Huntington's disease.Brain communications · 2023Article
- Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022Review
- Computational Psychiatry Needs Time and Context.Annual review of psychology · 2022Review
- Quantifying mechanisms of cognition with an experiment and modeling ecosystem.Behavior research methods · 2021Article
- Evidence accumulation and associated error-related brain activity as computationally-informed prospective predictors of substance use in emerging adulthood.Psychopharmacology · 2021Article
- Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder.PLoS computational biology · 2021Article
- Model-based assessment and neural correlates of spatial memory deficits in mild cognitive impairment.Neuropsychologia · 2020Article
- Biomarkers in Psychiatry: Concept, Definition, Types and Relevance to the Clinical Reality.Frontiers in psychiatry · 2020Review
- Predicting individual clinical trajectories of depression with generative embedding.NeuroImage. Clinical · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Huntington's disease (HD) is genetically determined but with variability in symptom onset, leading to uncertainty as to when pharmacological intervention should be initiated. Here we take a computational approach based on neurocognitive phenotyping, computational modeling, and classification, in an effort to provide quantitative predictors of HD before symptom onset. A large sample of subjects-consisting of both pre-manifest individuals carrying the HD mutation (pre-HD), and early symptomatic-as well as healthy controls performed the antisaccade conflict task, which requires executive control and response inhibition. While symptomatic HD subjects differed substantially from controls in behavioral measures [reaction time (RT) and error rates], there was no such clear behavioral differences in pre-HD. RT distributions and error rates were fit with an accumulator-based model which summarizes the computational processes involved and which are related to identified mechanisms in more detailed neural models of prefrontal cortex and basal ganglia. Classification based on fitted model parameters revealed a key parameter related to executive control differentiated pre-HD from controls, whereas the response inhibition parameter declined only after symptom onset. These findings demonstrate the utility of computational approaches for classification and prediction of brain disorders, and provide clues as to the underlying neural mechanisms.
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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.