Approach-Avoidance Conflict-a multi-level predictor for exposure therapy response
接近-回避冲突——暴露疗法反应的多级预测因子
基本信息
- 批准号:9109386
- 负责人:
- 金额:$ 18.15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-04-12 至 2021-03-31
- 项目状态:已结题
- 来源:
- 关键词:AchievementAddressAftercareAmygdaloid structureAnimal ModelAnti-Anxiety AgentsAnxietyAnxiety DisordersApplications GrantsArbitrationAwardBehaviorBehavior TherapyBehavioralChronicClinicalCognitiveConflict (Psychology)Corpus striatum structureDataData SetDevelopmentDistressElectroencephalographyEquilibriumExposure toFaceFailureFrightFunctional Magnetic Resonance ImagingFunctional disorderFutureGeneralized Anxiety DisorderGenerationsGenetic ResearchGoalsHumanImageIndividualIndividual DifferencesInstitutesInsula of ReilInterventionInvestigationK-Series Research Career ProgramsKnowledgeLateralLeadLeftLinkMental disordersMentorsMentorshipMethodsModelingModificationMorbidity - disease rateMotivationNeurobiologyNeurocognitiveNeurosciencesOccupationsOutcomes ResearchPatient Self-ReportPatientsPlayPostdoctoral FellowPrimary Health CareProcessQuestionnairesRefractoryRegulationResearchResearch PersonnelResearch TrainingRestRewardsRobin birdRoleSeveritiesSignal TransductionStatistical MethodsStimulusSymptomsSystemTestingTherapeuticTherapeutic InterventionTrainingTreatment EffectivenessTreatment outcomeUncertaintyUnited StatesWorkanxiety symptomsanxiety treatmentapproach avoidance behaviorapproach behaviorbasebehavior measurementbehavioral outcomebehavioral responsebehavioral studybrain behaviorcareereffective therapyexperiencefunctional improvementimprovedindividual patientneural circuitneurobehavioralneuroimagingneuropsychiatric disorderpatient orientedpersonalized medicinepredicting responsepsychologicpublic health relevancerecreational drug userelating to nervous systemresponsesymptomatic improvementtreatment of anxiety disorderstreatment response
项目摘要
DESCRIPTION (provided by applicant): Dr. Robin Aupperle is applying for the Mentored Patient-Oriented Career Development Award (K23) to support her development as an independent researcher using neuroscientific methods to inform the behavioral treatment of anxiety disorders. Clinicians and patients currently have little knowledge to guide them when deciding whether or not to embark on therapy or how to modify manualized therapy to optimize individual treatment. Dr. Aupperle's long-term career goal is to use knowledge regarding brain-behavior relationships to develop highly targeted behavioral interventions for anxiety disorders. More specifically, the aim would be that an individual patient could be assessed using a neurobehavioral battery to determine which therapy modules to use for optimizing response. The proposed research will accomplish the first steps towards this goal by investigating whether levels of approach (i.e., reward) and avoidance (i.e., threat) motivations, or the ability to arbitate these motivations can be used to identify individuals unlikely to respond to exposure-based therapy for generalized anxiety disorder (GAD). This project will use a task Dr. Aupperle recently developed to probe brain and behavior responses during the arbitration of approach and avoidance motivations in combination with other tasks and questionnaires relevant to approach and avoidance processing. The achievement of Dr. Aupperle's career goals, and the specific research objectives of this application, requires expertise related to current behavioral interventions, treatment outcome research, neuroimaging methods and analyses, and statistical methods for aggregating across multiple levels of analyses and modeling longitudinal datasets. Based on her prior research and clinical training, Dr. Aupperle has demonstrated expertise in functional neuroimaging and current psychological interventions for anxiety. The proposed training plan will provide further mentorship, coursework, and hands-on experience in advanced statistical methods for longitudinal and multilevel analyses, behavioral outcome research, and multimodal EEG/fMRI neuroimaging (increasing the depth and clinical generalizability of her research). Dr. Aupperle has assembled a team of mentors uniquely suited to provide the required diversity of expertise. Drs. Martin Paulus (LIBR Scientific Director and primary mentor) and Jim Abelson will provide expertise for integrating across neurobiological and clinical/behavioral levels of analyses. Dr. Michelle Craske will bring her extensive experience related to the development and investigation of behavioral interventions for anxiety. Dr. Bodurka, LIBR Neuroimaging Core Director, will provide mentorship related to simultaneous EEG/fMRI imaging. The training, and associated research, will take place at LIBR, a state-of-the-art institute dedicated to conducting neuroimaging and genetics research aimed at developing more effective treatments for neuropsychiatric disorders.
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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ROBIN L AUPPERLE其他文献
ROBIN L AUPPERLE的其他文献
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{{ truncateString('ROBIN L AUPPERLE', 18)}}的其他基金
Developing and Evaluating a Positive Valence Treatment for Alcohol Use Disorder with Anxiety or Depression
开发和评估治疗伴有焦虑或抑郁的酒精使用障碍的正价疗法
- 批准号:
10596013 - 财政年份:2023
- 资助金额:
$ 18.15万 - 项目类别:
NeuroMAP Phase II - Recruitment and Assessment Core
NeuroMAP 第二阶段 - 招募和评估核心
- 批准号:
10711136 - 财政年份:2023
- 资助金额:
$ 18.15万 - 项目类别:
15/21 ABCD-USA Consortium: Research Project Site at LIBR
15/21 ABCD-美国联盟:LIBR 研究项目现场
- 批准号:
9980594 - 财政年份:2020
- 资助金额:
$ 18.15万 - 项目类别:
An Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome in Anxiety and Depression
预测焦虑和抑郁行为治疗结果的避免接近计算框架
- 批准号:
10651737 - 财政年份:2020
- 资助金额:
$ 18.15万 - 项目类别:
An Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome in Anxiety and Depression
预测焦虑和抑郁行为治疗结果的避免接近计算框架
- 批准号:
10029376 - 财政年份:2020
- 资助金额:
$ 18.15万 - 项目类别:
15/21 ABCD-USA Consortium: Research Project Site at LIBR
15/21 ABCD-美国联盟:LIBR 研究项目现场
- 批准号:
10379336 - 财政年份:2020
- 资助金额:
$ 18.15万 - 项目类别:
15/21 ABCD-USA Consortium: Research Project Site at LIBR
15/21 ABCD-美国联盟:LIBR 研究项目现场
- 批准号:
10595541 - 财政年份:2020
- 资助金额:
$ 18.15万 - 项目类别:
An Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome in Anxiety and Depression
预测焦虑和抑郁行为治疗结果的避免接近计算框架
- 批准号:
10199995 - 财政年份:2020
- 资助金额:
$ 18.15万 - 项目类别:
Approach-Avoidance Conflict-a multi-level predictor for exposure therapy response
接近-回避冲突——暴露疗法反应的多级预测因子
- 批准号:
9260939 - 财政年份:2016
- 资助金额:
$ 18.15万 - 项目类别:
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