Mobile RDoC: Using Smartphone Technology to Understand Auditory Verbal Hallucinations
移动 RDoC:使用智能手机技术理解听觉言语幻觉
基本信息
- 批准号:9924681
- 负责人:
- 金额:$ 73.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-07-05 至 2023-04-30
- 项目状态:已结题
- 来源:
- 关键词:AdvertisementsAffectAffectiveAnxietyAreaAuditoryAuditory PerceptionBehaviorBehavioralCaringCategoriesCellular PhoneClinicalCognitiveCommunitiesDataData CollectionDepressed moodDevelopmentDiagnosticDistressEcological momentary assessmentEnrollmentEnsureEventFacebookFrequenciesImpairmentIndividualInpatientsLeadMeasuresMediatingMediationMental HealthMethodologyMethodsModelingNormal RangeOutcomeOutpatientsParticipantPathologicPatient RecruitmentsPatient Self-ReportPersonsPhysical activityPopulationPredispositionPrevention strategyPsychopathologyPsychotic DisordersReportingResearchResearch Domain CriteriaSamplingSeveritiesSystemTechniquesTechnologyTestingTimeVerbal Auditory HallucinationsWithdrawalbasebehavior measurementbehavioral responsecontextual factorscost effectivedemographicsdigitalexperiencefunctional disabilityinnovationinnovative technologiesinterestmultidisciplinarymultimodalitynegative affectnovelonline communityphenomenological modelsprocess optimizationrecruitself reported behaviorsocialsocial factorssocial mediatime use
项目摘要
Project Summary
Auditory Verbal Hallucinations (AVH) occur in the context of a range of mental health conditions as well
as in individuals who are otherwise considered healthy. AVH lead to significant distress, impairment, and need
for care in some, but not others. The RDoC framework is ideally suited to better understand the
phenomenology of AVH as they may be part of a continuum of psychotic experience ranging from “normal” to
pathological. Building on the principles of the RDoC framework, the proposed project focuses on AVH as part
of the broader construct of Auditory Perception and leverages an integrative multi-method paradigm leveraging
measures from two RDoC units of analysis: Self-Report and Behavior. Our multidisciplinary investigative team
proposes to use integrated mobile data collection techniques that we have piloted extensively (Ecological
Momentary Assessment for self-report and automated multi-modal sensing to capture behavior) to study AVH
experience and associated behaviors, as they occur in real-time/real-place in people with and without need for
care. We propose to use innovative online and community-based participant recruitment strategies that we
have piloted in relevant populations to enroll a clinically diverse sample of individuals with AVH. Participants
will be provided with an integrated smartphone data collection system and will actively self-report AVH
experiences and associated variables as they occur in real-time using EMA. Smartphones will also passively
collect multi-modal behavioral sensing data continuously. We will combine both forms of data to examine the
extent to which temporal relationships between self-reported AVH and behavioral measures vary across both
groups. Specifically, we aim to: evaluate whether clinical status is associated with how AVH is experienced in
real- time/real-place; examine relationships between demographic, functional, and immediate social/contextual
factors and AVH; and test time-varying relationships posited in a cognitive model of psychosis between AVH
appraisal, affect, and behavioral response. The study will advance our understanding of the phenomenology of
AVH and move us closer to understanding why some develop impairment and need for care, while others do
not. Findings may help inform the subsequent development of prevention strategies for subclinical populations
so they do not progress in the psychotic trajectory, as well as inform more targeted treatments for individuals
who already require treatment. If successful, the project will demonstrate the utility of applying the RDoC
framework and integrated methodological approach in psychosis research.
项目摘要
听觉言语幻觉(AVH)也发生在一系列心理健康状况的背景下
就像那些被认为是健康的人一样。AVH导致严重的痛苦,损害和需要
在某些情况下是需要照顾的,但在另一些情况下不是。RDoC框架非常适合更好地理解
AVH的现象学,因为它们可能是从“正常”到
病态的根据RDoC框架的原则,拟议项目侧重于AVH,
听觉感知的更广泛的结构,并利用一个综合的多方法范式,
从两个RDoC分析单元测量:自我报告和行为。我们的多学科调查团队
建议使用集成的移动的数据收集技术,我们已经广泛试点(生态
用于自我报告的瞬时评估和自动多模态感知以捕获行为),以研究AVH
体验和相关行为,因为它们在需要和不需要的人中实时/实时发生
在乎我们建议采用创新的在线和社区参与者招募策略,
已经在相关人群中进行了试点,以招募临床多样化的AVH患者样本。参与者
将配备集成的智能手机数据收集系统,并将积极自我报告AVH
经验和相关的变量,因为它们发生在实时使用EMA。智能手机也将被动地
连续收集多模态行为感测数据。我们将联合收割机结合这两种形式的数据来检查
自我报告的AVH和行为测量之间的时间关系在两者中的变化程度
组具体来说,我们的目标是:评估临床状态是否与AVH的发生有关,
真实的-时间/地点;检查人口统计、功能和即时社会/情境之间的关系
因素和AVH;并测试AVH之间的精神病认知模型中的时变关系
评价、情感和行为反应。这一研究将促进我们对这一现象学的理解,
AVH和移动我们更接近理解为什么有些发展障碍和需要照顾,而其他人做
没有研究结果可能有助于为亚临床人群提供后续预防策略的制定
所以他们不会在精神病的轨迹上发展,同时也为个人提供了更有针对性的治疗方法。
他们已经需要治疗了如果成功,该项目将展示应用RDoC的实用性
精神病研究的框架和综合方法论途径。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using Smartphones to Identify Momentary Characteristics of Persecutory Ideation Associated With Functional Disability.
- DOI:10.1093/schizbullopen/sgad021
- 发表时间:2023-01
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
A Smartphone Intervention for People With Serious Mental Illness: Fully Remote Randomized Controlled Trial of CORE.
- DOI:10.2196/29201
- 发表时间:2021-11-12
- 期刊:
- 影响因子:7.4
- 作者:Ben-Zeev D;Chander A;Tauscher J;Buck B;Nepal S;Campbell A;Doron G
- 通讯作者:Doron G
Expanding the Reach of Research: Quantitative Evaluation of a Web-Based Approach for Remote Recruitment of People Who Hear Voices.
- DOI:10.2196/23118
- 发表时间:2021-06-03
- 期刊:
- 影响因子:2.2
- 作者:Buck B;Chander A;Brian RM;Wang W;Campbell AT;Ben-Zeev D
- 通讯作者:Ben-Zeev D
Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS).
- DOI:10.1016/j.jbi.2022.103998
- 发表时间:2022-03
- 期刊:
- 影响因子:4.5
- 作者:Xu W;Wang W;Portanova J;Chander A;Campbell A;Pakhomov S;Ben-Zeev D;Cohen T
- 通讯作者:Cohen T
The relationship between appraisals of auditory verbal hallucinations and real-time affect and social functioning.
- DOI:10.1016/j.schres.2022.10.015
- 发表时间:2022-12
- 期刊:
- 影响因子:4.5
- 作者:Buck, Benjamin;Munson, Jeffrey;Chander, Ayesha;Wang, Weichen;Brenner, Carolyn J.;Campbell, Andrew T.;Ben-Zeev, Dror
- 通讯作者:Ben-Zeev, Dror
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Dror Ben-Zeev其他文献
Dror Ben-Zeev的其他文献
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{{ truncateString('Dror Ben-Zeev', 18)}}的其他基金
Combining mHealth and nurse-delivered care to improve the outcomes of people with seriousmental illness in West Africa
将移动医疗与护士提供的护理相结合,改善西非严重精神疾病患者的治疗结果
- 批准号:
10533529 - 财政年份:2022
- 资助金额:
$ 73.38万 - 项目类别:
Combining mHealth and nurse-delivered care to improve the outcomes of people with seriousmental illness in West Africa
将移动医疗与护士提供的护理相结合,改善西非严重精神疾病患者的治疗结果
- 批准号:
10676949 - 财政年份:2022
- 资助金额:
$ 73.38万 - 项目类别:
Implementing mHealth for Schizophrenia in Community Mental Health Settings
在社区心理健康环境中实施精神分裂症移动医疗
- 批准号:
10533730 - 财政年份:2019
- 资助金额:
$ 73.38万 - 项目类别:
Implementing mHealth for Schizophrenia in Community Mental Health Settings
在社区心理健康环境中实施精神分裂症移动医疗
- 批准号:
10063048 - 财政年份:2019
- 资助金额:
$ 73.38万 - 项目类别:
Implementing mHealth for Schizophrenia in Community Mental Health Settings
在社区心理健康环境中实施精神分裂症移动医疗
- 批准号:
10311085 - 财政年份:2019
- 资助金额:
$ 73.38万 - 项目类别:
Mobile RDoC: Using Smartphone Technology to Understand Auditory Verbal Hallucinations
移动 RDoC:使用智能手机技术理解听觉言语幻觉
- 批准号:
9899714 - 财政年份:2017
- 资助金额:
$ 73.38万 - 项目类别:
A New Paradigm for Illness Monitoring and Relapse Prevention in Schizophrenia
精神分裂症疾病监测和复发预防的新范式
- 批准号:
8640521 - 财政年份:2013
- 资助金额:
$ 73.38万 - 项目类别:
Development of a Mobile System for Self-management of Schizophrenia (SOS)
开发精神分裂症自我管理移动系统(SOS)
- 批准号:
8488042 - 财政年份:2013
- 资助金额:
$ 73.38万 - 项目类别:
A New Paradigm for Illness Monitoring and Relapse Prevention in Schizophrenia
精神分裂症疾病监测和复发预防的新范式
- 批准号:
9119612 - 财政年份:2013
- 资助金额:
$ 73.38万 - 项目类别:
Development of a Mobile System for Self-management of Schizophrenia (SOS)
开发精神分裂症自我管理移动系统(SOS)
- 批准号:
8679007 - 财政年份:2013
- 资助金额:
$ 73.38万 - 项目类别:
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