Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
结合声音和遗传信息来检测重度抑郁症的异质性
基本信息
- 批准号:10238767
- 负责人:
- 金额:$ 66.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-14 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:AffectAllelesAnxietyBehavioral GeneticsBiological MarkersBiologyCase-Control StudiesChinaChinese PeopleClassificationClinicalClinical ManagementCollectionDataData SetDepressed moodDevelopmentDiagnosisDiseaseDisease remissionDrug PrescriptionsEngineeringEnsureFar EastFrequenciesGeneticGenetic studyGenomicsGenotypeHeritabilityHeterogeneityInterviewInvestigationLinkage DisequilibriumMajor Depressive DisorderManualsMapsMental DepressionMental HealthMental disordersMethodologyMethodsModelingMoodsMorphologic artifactsNeurobiologyParticipantPatientsPatternPharmacological TreatmentPhenotypePopulationPsychiatryPsychological TransferRecurrenceRefractoryResearchResourcesSamplingSchemeSeveritiesSeverity of illnessSignal TransductionSpecificitySpeechSuicideSystemTestingTimeUrsidae FamilyVoiceVoice QualityWomanaccurate diagnosisbasebiobankclinical applicationclinical phenotypecomorbiditycomputer sciencedata sharingdeep neural networkdisabilitydisorder subtypeeffective therapyefficacy evaluationflexibilitygenetic analysisgenetic architecturegenetic informationgenetic predictorsimprovedinnovationinsightlong short term memorymultidimensional dataneuroimagingpreservationpsychogeneticspublic health prioritiesstatisticstargeted treatmenttraittreatment responsevector
项目摘要
PROJECT SUMMARY
This application aims to advance our understanding of major depressive disorder (MDD) by combining genetic
information and analyzing speech patterns of those with MDD to identify subtypes. MDD is the leading cause
of disability throughout the world, yet, relative to other common disorders, less is known about its origins.
There are less effective treatments and much less is spent on trying to understand how it arises and how to
cure it. Current treatments are relatively ineffective, with up 50% of patients refractory and many suffering
severe recurrence. Understanding the mechanisms underlying MDD has been recognized as a grand
challenge in global mental health. Thus, developing new treatments for MDD is a major priority for public health.
A major challenge for MDD research is the presence of heterogeneity. The existence of multiple subtypes of
MDD has been suspected for a long time, and likely confounds the ability to treat the disorder appropriately
with existing treatments, as well as making it hard to identify the causes of MDD as a prelude to developing
new treatments. However finding subtypes has been hard. Given that the way people talk can reflect
alterations in mood, we expect voice to be able to predict mood, and hence potentially be used as biomarker to
recognize heterogeneity. In preliminary data show that in combination with genetic data high-dimensional vocal
features extracted from recordings can be used to identify subtypes. Furthermore, the use of genetic data
allows us to impute voice features into large biobanks where no recordings exist, making it possible to explore
the relationship between vocal features and a rich array of clinically important indicators. We explore the power
of voice to make a diagnosis of MDD, to predict severity and other clinical features. Applying our approach to
will inform clinical management, improving diagnosis, refine treatment and aid the development of new
treatments
项目总结
项目成果
期刊论文数量(0)
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{{ truncateString('JONATHAN FLINT', 18)}}的其他基金
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes
提高重度抑郁症基因研究的可解释性以识别风险基因
- 批准号:
10504696 - 财政年份:2022
- 资助金额:
$ 66.78万 - 项目类别:
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes
提高重度抑郁症基因研究的可解释性以识别风险基因
- 批准号:
10646326 - 财政年份:2022
- 资助金额:
$ 66.78万 - 项目类别:
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
结合声音和遗传信息来检测重度抑郁症的异质性
- 批准号:
10656229 - 财政年份:2020
- 资助金额:
$ 66.78万 - 项目类别:
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
结合声音和遗传信息来检测重度抑郁症的异质性
- 批准号:
10410474 - 财政年份:2020
- 资助金额:
$ 66.78万 - 项目类别:
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents
开发从遗传位点到啮齿动物复杂性状基因的途径
- 批准号:
10361239 - 财政年份:2018
- 资助金额:
$ 66.78万 - 项目类别:
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents
开发从遗传位点到啮齿动物复杂性状基因的途径
- 批准号:
10197749 - 财政年份:2018
- 资助金额:
$ 66.78万 - 项目类别:
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