2025
Drift‐Diffusion Modeling of Attentional Shifting During Frustration: Associations With State Frustration and Trait Irritability
Bellaert N, Castagna P, Deveney C, Crowley M, Tseng W. Drift‐Diffusion Modeling of Attentional Shifting During Frustration: Associations With State Frustration and Trait Irritability. Depression And Anxiety 2025, 2025 DOI: 10.1155/da/1618163.Peer-Reviewed Original ResearchDrift diffusion model parametersTrait irritabilityFrustrative nonrewardDrift-diffusion modelAssociated with individual differencesLatent cognitive processesMechanisms of irritabilityModel of attentionMechanism-based interventionsAnxiety disordersCognitive mechanismsIndividual differencesCognitive processesImpairment symptomsNonrewardClinical levelYoung adultsHealthy adult populationTraitsAP metricNonfrustrationIrritationFrustrationMoodAnxiety
2024
Computational modeling of social evaluative decision‐making elucidates individual differences in adolescent anxiety
Castagna P, Edgar E, Delpech R, Topel S, Kortink E, van der Molen M, Crowley M. Computational modeling of social evaluative decision‐making elucidates individual differences in adolescent anxiety. Journal Of Research On Adolescence 2024, 34: 1365-1377. PMID: 38961725, DOI: 10.1111/jora.12999.Peer-Reviewed Original ResearchSocial judgment paradigmElevated levels of social anxietySelf-report measures of anxietyLevels of social anxietySocial judgment taskInformation processing biasesMeasures of anxietyParent-report measuresSelf-report measuresSelf-reported anxietyDecision threshold parameterDecision-making taskSignificant developmental changesProcessing biasesSocial anxietyJudgment paradigmAdolescent anxietyAnxiety symptomsEvaluate decision-makingNeural correlatesJudgment taskCognitive processesSocial cuesTask performanceDrift-diffusion model
2022
Computational Modeling of Self-Referential Processing Reveals Domain General Associations with Adolescent Anxiety Symptoms
Castagna P, Waters A, Crowley M. Computational Modeling of Self-Referential Processing Reveals Domain General Associations with Adolescent Anxiety Symptoms. Research On Child And Adolescent Psychopathology 2022, 51: 455-468. PMID: 36580171, DOI: 10.1007/s10802-022-01012-1.Peer-Reviewed Original ResearchConceptsSelf-referential encoding taskSelf-referential processingSocial anxietyAnxiety symptomsNegative self-referential processingAdolescent anxiety symptomsPhysiological anxiety symptomsFacets of anxietySelf-report measuresChoice reaction timeReaction timeEncoding tasksEvidence accumulationTask performanceAdolescent depressionDrift-diffusion modelComputational modeling resultsSocial contextAnxietyAdolescentsLatent processProcessingGeneral associationComputational modelingDepressionTransient neuronal suppression for exploitation of new sensory evidence
Shinn M, Lee D, Murray JD, Seo H. Transient neuronal suppression for exploitation of new sensory evidence. Nature Communications 2022, 13: 23. PMID: 35013222, PMCID: PMC8748884, DOI: 10.1038/s41467-021-27697-4.Peer-Reviewed Original ResearchConceptsSensory evidenceNeural activityNew sensory evidenceGeneralized drift-diffusion modelsBehavioral responsesFrontal eye fieldConsistency of behaviorMultiple brain areasPerceptual decisionsEvidence accumulationStimulus onsetAnimal's behavioral responseMotor preparationDrift-diffusion modelEye fieldMomentary arrestTemporal integrationBehavioral studiesBrain areasCorresponding dipMotor outputBrief suppressionNeuronal suppressionVariable delayStimulus strength
2020
Confluence of Timing and Reward Biases in Perceptual Decision-Making Dynamics
Shinn M, Ehrlich D, Lee D, Murray JD, Seo H. Confluence of Timing and Reward Biases in Perceptual Decision-Making Dynamics. Journal Of Neuroscience 2020, 40: 7326-7342. PMID: 32839233, PMCID: PMC7534922, DOI: 10.1523/jneurosci.0544-20.2020.Peer-Reviewed Original ResearchConceptsDecision-making taskReward biasesDecision-making strategiesPerceptual decision-making taskNovel decision-making taskGeneralized drift-diffusion modelsResponse time patternsTiming mechanismTemporal structureCognitive mechanismsSensory evidenceDecision-making dynamicsUrgency signalAsymmetric rewardsNeural mechanismsStimulus timingDrift-diffusion modelTemporal contextLeaky integrationRewardReward structureTemporal uncertaintyEvidence reliabilityEveryday lifeSuch regularitiesA flexible framework for simulating and fitting generalized drift-diffusion models
Shinn M, Lam NH, Murray JD. A flexible framework for simulating and fitting generalized drift-diffusion models. ELife 2020, 9: e56938. PMID: 32749218, PMCID: PMC7462609, DOI: 10.7554/elife.56938.Peer-Reviewed Original ResearchConceptsDrift-diffusion modelArbitrary user-defined functionsImportant decision-making modelFokker-Planck equationEfficient numerical methodDecision-making mechanismUser-defined functionsDrift diffusion model frameworkFlexible frameworkSoftware packageGDDMHuman datasetsNumerical methodDecision-making modelResponse time distributionsDecision-making taskLatest methodologiesModel formGood accuracyFrameworkMaximum likelihoodModel innovationTime distributionDDM parametersModel framework
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