Using Computational Modeling to Test Reinforcement Learning as a Predictor of Response in Family-Based Treatment for Adolescent Anorexia Nervosa
使用计算模型来测试强化学习作为青少年神经性厌食症家庭治疗反应的预测因子
基本信息
- 批准号:10573050
- 负责人:
- 金额:$ 19.63万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:AdolescenceAdolescentAdolescent DevelopmentAdultAnorexia NervosaAnxietyBehavior TherapyBehavioralBiometryBody WeightChildChronicClinicalClinical ResearchCognitive ScienceComputer ModelsComputing MethodologiesDataDevelopmentDiseaseDisease remissionEatingEating BehaviorEating DisordersEffectivenessEvidence based treatmentExposure toFamilyFeedbackFoodFormulationFrightGoalsImpairmentIndividualInterventionIntervention StudiesInterviewInvestigationK-Series Research Career ProgramsLearningLinkMedicalMental DepressionMental disordersMentorshipMethodsNeurobehavioral ManifestationsNeurobiologyNeurocognitionNeurocognitiveObsessive compulsive behaviorOutcomeParentsParticipantPerformanceProcessPsychiatryPsychological reinforcementPsychopathologyPunishmentResearchResearch PersonnelRewardsRiskSamplingSelection for TreatmentsShapesStimulusSymptomsTestingTheoretical modelTrainingTreatment FailureTreatment outcomeUnited StatesWeightWeight GainWorkYouthbasebehavior changebehavioral responsecareercognitive neurosciencecosteconomic costevidence baseexperiencefollow-upimprovedimproved outcomeindexinginsightlearning outcomemedical complicationpatient orientedpredicting responsepreventpsychologicpsychosocialrelating to nervous systemresearch based treatmentresponseskill acquisitionsuccesstherapy developmenttreatment responsetreatment risk
项目摘要
PROJECT SUMMARY/ABSTRACT
Anorexia nervosa (AN) is associated with significant risk for deadly medical complications and an annual cost to
the US of around $11.2 billion. Although Family-Based Treatment (FBT) for adolescent AN has demonstrated
effectiveness in targeting symptoms of AN, up to 60% of individuals who receive FBT do not remit fully. Notably,
no prior work has explored neurocognitive predictors of FBT response, which may help to facilitate the
identification of treatment mechanisms and formulation of targeted treatments for non-responders. When
considering what neurocognitive processes may be implicated in FBT response, increasing work suggests that
adult AN may be characterized by alterations in reinforcement learning. Further, work in other forms of
psychopathology suggests that reinforcement learning may predict response to behavioral treatments. However,
few studies to date have tested alterations between reinforcement learning and treatment outcome, and none
have explored associations between reinforcement learning and FBT outcome. The current investigation will
leverage methods from cognitive neuroscience and computational modeling to explore reinforcement learning in
adolescents with AN (n = 58) and healthy control subjects (n = 58), as well as its associations with treatment
outcome in FBT. I will test the following hypotheses: Aim 1: Consistent with existing data in adults, the AN group
will demonstrate poorer performance in the learning task compared to HC, decreased loss learning, and poorer
exploitation of prior learned information. Aim 2: Within the AN group, lower rates of learning from loss, as well
as lower explore/exploit parameter values will relate to poorer outcomes at 1- and 6-month follow-ups,
operationalized as lower body weight and greater eating disorder cognitive symptoms. With the mentorship of
five experts across biostatistics, adolescent clinical research, computational modeling, and cognitive
neuroscience, the current patient-oriented career development award will allow me access to training that will
facilitate unique expertise at the intersection of these fields. Short-term, data from the current investigation will
yield insights that can be used to understand the persistence of AN symptoms and identify potential methods to
improve treatment outcomes. Long-term, the current project will allow me to launch my career and take the next
steps in a programmatic line of research merging complementary expertise in neurocognition, computational
methods, and adolescent intervention development.
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Erin E. Reilly其他文献
A new look at the links between perceived parenting, socially-prescribed perfectionism, and disordered eating
重新审视认知养育、社会规定的完美主义和饮食失调之间的联系
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Erin E. Reilly;P. Stey;D. Lapsley - 通讯作者:
D. Lapsley
Exploring changes in alexithymia throughout intensive dialectical behavior therapy for eating disorders.
探索饮食失调强化辩证行为治疗过程中述情障碍的变化。
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:5.3
- 作者:
Erin E. Reilly;Tiffany A. Brown;Vinushini Arunagiri;W. Kaye;C. Wierenga - 通讯作者:
C. Wierenga
Evaluating the role of repetitive negative thinking in the maintenance of social appearance anxiety: An experimental manipulation.
评估重复的消极思维在维持社交外表焦虑中的作用:实验操作。
- DOI:
10.1016/j.brat.2018.01.001 - 发表时间:
2018 - 期刊:
- 影响因子:4.1
- 作者:
Erin E. Reilly;E. Gordis;James F. Boswell;Joseph M. Donahue;Stephanie M. Emhoff;Drew A. Anderson - 通讯作者:
Drew A. Anderson
Assessment of Weight/Shape Implicit Bias Related to Attractiveness, Fear, and Disgust
评估与吸引力、恐惧和厌恶相关的体重/形状隐性偏见
- DOI:
10.1007/s40732-016-0181-4 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Timothy R. Ritzert;L. Anderson;Erin E. Reilly;S. Gorrell;J. P. Forsyth;Drew A. Anderson - 通讯作者:
Drew A. Anderson
Gender-moderated links between urgency, binge drinking, and excessive exercise
紧迫感、酗酒和过度运动之间的性别调节联系
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:2.4
- 作者:
Erin E. Reilly;S. Dmochowski;K. Schaumberg;M. Earleywine;Drew A. Anderson - 通讯作者:
Drew A. Anderson
Erin E. Reilly的其他文献
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{{ truncateString('Erin E. Reilly', 18)}}的其他基金
Using Computational Modeling to Test Reinforcement Learning as a Predictor of Response in Family-Based Treatment for Adolescent Anorexia Nervosa
使用计算模型来测试强化学习作为青少年神经性厌食症家庭治疗反应的预测因子
- 批准号:
10693328 - 财政年份:2022
- 资助金额:
$ 19.63万 - 项目类别:
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