Songmaking in a Group (SING): Music, Hallucinations & Predictive Coding
团体歌曲制作(SING):音乐、幻觉
基本信息
- 批准号:10704492
- 负责人:
- 金额:$ 48.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-10 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:Analysis of VarianceAuditory HallucinationBehaviorBehavioralBeliefBiological AssayBrainCellsChemosensitizationClinical TrialsCodeComplexComputational LinguisticsComputer ModelsCuesDistressEventExpectancyFamily memberFriendsFunctional disorderFutureHallucinationsHearingImpairmentIndividualInterventionInterviewLaboratoriesLanguageLearningLightLinguisticsMeasuresMeta-AnalysisMindModelingMusicNeuronsOwnershipParticipantPerceptionPerformancePeriodicityPersonal SatisfactionPersonsPharmacotherapyPhaseProceduresPropertyPsychiatristPsychiatryPsychosesPsychotherapyPsychotic DisordersPublishingQualitative ResearchQuality of lifeRecording of previous eventsRecoveryResearchResearch PersonnelRewardsSchemeSelf ConceptSeriesStimulusSymptomsSynaptic plasticityTask PerformancesTestingToesUncertaintyUpdateVoiceWorkdesignexpectationexperiencefollow-upimprovedlexicalmusicianpeerpower analysispsychotic symptomssevere mental illnesssocialsocial engagementsocial learningtheories
项目摘要
Abstract
People with psychotic illnesses perceive and believe things about themselves, the outside world
and other people that do not obtain. This can be very distressing for them, their family members
and friends. Listening to and performing music can help mitigate this distress, but we do not
know why. This project aims to find out. Perceiving and believing, about self and others, is
achieved by making predictions and updating those predictions in light of new evidence,
particularly if that new evidence is very reliable or precise. One way that music might help
psychosis involves this precision. By making one set of predictions more precise—predictions
about music— other predictions can change. This might be why we tap our toes or sing along to
music we enjoy. We propose that experiencing more reliable predictions about ones’ actions (by
singing) and other people (by singing along with them) will help to change the predictions that
underwrite the symptoms of psychosis. We will test whether this is true in an initial R61 study,
tracking the change in performance of a series of prediction-based tasks as a result of musical
experience by prosecuting three specific aims: Specific Aim 1 will examine the impact of song-
making in a group (SING) on conditioned hallucination task performance, a procedure that
safely and reliably engenders hallucinations in the laboratory. We predict SING will reduce the
number and mechanisms of hallucinations in the laboratory. Specific Aim 2 will examine how
social learning changes with SING. Using a reputation learning task, we will measure social
learning rates. We predict they will increase with SING. Specific Aim 3 will examine
participants’ subjective experience of self-hood and how they change with SING using
computational linguistic analysis. We predict SING will decrease linguistic markers of distress. If
those studies prove successful, we will – in a follow-up R33 study – use metrics from the R61 to
decompose the musical intervention into its key ingredients – asking whether it is important to
be active (or merely passively experience music), and whether owning the music produced is
important to its impact on precision of processing. These studies will help us refine whether,
how and to whom we deliver musical intervention for serious mental illness.
摘要
患有精神病的人感知并相信关于他们自己和外部世界的事情
而其他人却得不到。这对他们和他们的家庭成员来说是非常痛苦的
和朋友听音乐和表演音乐可以帮助减轻这种痛苦,但我们没有
知道为什么这个项目旨在找出。感知和相信自己和他人,
通过做出预测并根据新的证据更新这些预测来实现,
特别是如果新的证据非常可靠或精确的话。音乐可以帮助
精神病就是这种精确性通过使一组预测更精确-预测
关于音乐-其他预测可以改变。这可能就是为什么我们会用脚趾头轻轻地敲,或者跟着沿着唱歌,
我们喜欢的音乐我们建议,体验更可靠的预测一个人的行动(通过
唱歌)和其他人(通过与他们一起沿着)将有助于改变预测,
精神病的症状我们将在最初的R61研究中测试这是否属实,
跟踪一系列基于预测的任务的表现的变化,
通过起诉三个具体目标的经验:具体目标1将审查歌曲的影响-
在一组(SING)条件性幻觉任务表现中,
在实验室中安全可靠地产生幻觉。我们预测SING将减少
幻觉的数量和机制具体目标2将研究如何
社会学习随着SING而改变。使用声誉学习任务,我们将衡量社会
学习率。我们预测他们会随着SING而增加。具体目标3将审查
参与者的自我体验以及他们如何随着SING的使用而改变
计算语言学分析我们预测SING将减少痛苦的语言标记。如果
这些研究证明是成功的,我们将在后续的R33研究中使用R61的指标,
将音乐干预分解为关键成分-询问是否重要,
是积极的(或只是被动地体验音乐),以及是否拥有所产生的音乐,
重要的是它对加工精度的影响。这些研究将帮助我们确定,
我们如何以及向谁提供针对严重精神疾病的音乐干预。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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PHILIP CORLETT其他文献
PHILIP CORLETT的其他文献
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{{ truncateString('PHILIP CORLETT', 18)}}的其他基金
5/5 CAPER: Computerized Assessment of Psychosis Risk
5/5 CAPER:精神病风险的计算机化评估
- 批准号:
10488386 - 财政年份:2022
- 资助金额:
$ 48.78万 - 项目类别:
5/5 CAPER: Computerized Assessment of Psychosis Risk
5/5 CAPER:精神病风险的计算机化评估
- 批准号:
10786777 - 财政年份:2020
- 资助金额:
$ 48.78万 - 项目类别:
5/5 CAPER: Computerized Assessment of Psychosis Risk
5/5 CAPER:精神病风险的计算机化评估
- 批准号:
10574998 - 财政年份:2020
- 资助金额:
$ 48.78万 - 项目类别:
5/5 CAPER: Computerized Assessment of Psychosis Risk
5/5 CAPER:精神病风险的计算机化评估
- 批准号:
10360479 - 财政年份:2020
- 资助金额:
$ 48.78万 - 项目类别:
5/5 CAPER: Computerized Assessment of Psychosis Risk
5/5 CAPER:精神病风险的计算机化评估
- 批准号:
10576406 - 财政年份:2020
- 资助金额:
$ 48.78万 - 项目类别:
Songmaking in a Group (SING): Music, Hallucinations & Predictive Coding
团体歌曲制作(SING):音乐、幻觉
- 批准号:
10263460 - 财政年份:2019
- 资助金额:
$ 48.78万 - 项目类别:
Songmaking in a Group (SING): Music, Hallucinations & Predictive Coding
团体歌曲制作(SING):音乐、幻觉
- 批准号:
10015353 - 财政年份:2019
- 资助金额:
$ 48.78万 - 项目类别:
Predictive Coding as a Framework for Understanding Psychosis
预测编码作为理解精神病的框架
- 批准号:
10292448 - 财政年份:2017
- 资助金额:
$ 48.78万 - 项目类别:
Predictive Coding as a Framework for Understanding Psychosis
预测编码作为理解精神病的框架
- 批准号:
10064647 - 财政年份:2017
- 资助金额:
$ 48.78万 - 项目类别:
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