Positive valence systems engagement during social reward exposure psychotherapy for mid- and late-life depression
Positive valence systems engagement during social reward exposure psychotherapy for mid- and late-life depression
批准号:
10417136
负责人:
Nili Solomonov
金额:
$19.11万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-07-01 至 2025-06-30
关键词:
Addictive BehaviorAgeAgingAnimalsBehavioralClinicalComputer ModelsComputing MethodologiesCuesDataDevelopmentElderlyExposure toFunctional Magnetic Resonance ImagingFutureGenerationsGeriatric PsychiatryHumanInstitutesInterventionInvestigational TherapiesK-Series Research Career ProgramsKnowledgeLeadMachine LearningMajor Depressive DisorderMental DepressionMethodologyModelingNational Institute of Mental HealthNeuroanatomyNeurobiologyParticipantPerformancePilot ProjectsPositive ValencePrediction of Response to TherapyPsychotherapyRandomizedResearch ActivityResearch PersonnelRestRewardsRiskRoleSeriesSeveritiesSocial InteractionSocial supportStructureSymptomsSystemTechnical ExpertiseTestingTrainingTraining Activitybasebiosignaturecareercareer developmentdepressive symptomsdesignevidence basefinancial incentivegeriatric depressiongeriatric major depressionimprovedimproved functioningmachine learning modelmiddle ageneural networkneuroimagingnovelpatient oriented researchpatient subsetspsychoeducationrandom forestresponsereward circuitryskillssocialtheoriestherapeutic targettreatment response
中文摘要
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英文摘要
PROJECT SUMMARY/ ABSTRACT
The proposed K23 Patient-Oriented Research Career Development Award is designed to provide the
candidate with the conceptual knowledge and technical skills needed for a career of an independent
investigator focused on the engagement of behavioral and neural network targets during personalized
psychotherapies for mid- and late depression. The candidate will conduct her training and research activities at
the ALACRITY Center of the Weill Cornell Institute of Geriatric Psychiatry.
The proposal is based on the premise that identifying specific behavioral and neural network targets
can guide development of streamlined interventions with potential for broad scalability and reach. “Engage”, a
streamlined therapy for late-life depression, whose principal intervention is “reward exposure”, may change
Positive Valence Systems (PVS) functions. Preliminary studies by the candidate show that early increase in
resting state functional connectivity (rsFC) of PVS structures during “Engage” predicts increased behavioral
activation. Additionally, compared to solitary pleasant activities, exposure to rewarding social interactions
during “Engage” leads to greater increase in behavioral activation and reduction of depression severity. Finally,
a machine learning analysis conducted by the candidate showed that low perceived social support is the
strongest predictor of poor response early in psychotherapy. These findings are in line with animal and human
studies demonstrating the protective role of social rewards. Based on these observations, the candidate
developed “Engage-S”, a social-reward based version of “Engage”, aimed to increase exposure to meaningful
social interactions with others.
The training study proposes to examine whether social reward exposure in “Engage-S” enhances PVS
abnormalities and improves mid- and late-life depression. The participants will be 60 middle-aged and older
adults (age ≥ 50) with major depression who will be randomized to 9-weeks of “Engage-S” or to a Symptom
Review and Psychoeducation (SRP) comparison condition. During treatment, we will examine target
engagement of the PVS with rsFC, a behavioral activation scale (BADS), and performance on a novel social
reward paradigm at baseline, 5 weeks, and 9 weeks. We will use computational methods to identify
neuroimaging and behavioral profiles associated with treatment response.
The training plan consists of formal courses, structured tutorials, and hands-on methodological training
that will offer the candidate knowledge and skills in: 1) Functional neuroanatomy of depression and aging; 2)
Use of fMRI to assess target engagement during psychotherapies for mid- and late-life depression; 3)
Computational modeling for the identification of clinical and neuroimaging predictors of treatment response that
can be used to personalize psychotherapy; and 4) Generate preliminary data for an R-series experimental
therapeutics target engagement application.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Target Engagement During Social Reward Psychotherapy for Mid- and Late-Life Suicidality: A Precision Imaging Trial
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批准号:10727335
-
项目类别:
-
资助金额:$71.94万
-
财政年份:2023
-
负责人:Nili Solomonov
-
依托单位:
Positive valence systems engagement during social reward exposure psychotherapy for mid- and late-life depression
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批准号:10191051
-
项目类别:
-
资助金额:$19.11万
-
财政年份:2020
-
负责人:Nili Solomonov
-
依托单位:
Positive valence systems engagement during social reward exposure psychotherapy for mid- and late-life depression
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批准号:10039661
-
项目类别:
-
资助金额:$19.11万
-
财政年份:2020
-
负责人:Nili Solomonov
-
依托单位:
Positive valence systems engagement during social reward exposure psychotherapy for mid- and late-life depression
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批准号:10654822
-
项目类别:
-
资助金额:$19.02万
-
财政年份:2020
-
负责人:Nili Solomonov
-
依托单位:
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