Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
批准号:
10410474
负责人:
JONATHAN FLINT
金额:
$66.78万
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:
2020-08-14 至 2025-05-31
关键词:
AffectAllelesAnxietyBehavioral GeneticsBiological MarkersBiologyCase-Control StudiesChinaChineseClassificationClinicalClinical ManagementCollectionDataData SetDepressed moodDevelopmentDiagnosisDiseaseDisease remissionDrug PrescriptionsEngineeringEnsureFar EastFrequenciesGeneticGenetic studyGenomicsGenotypeHeritabilityHeterogeneityInterviewInvestigationLinkage DisequilibriumMajor Depressive DisorderManualsMapsMental DepressionMental HealthMental disordersMethodologyMethodsModelingMoodsMorphologic artifactsNeurobiologyParticipantPatientsPatternPersonsPharmacological TreatmentPhenotypePopulationPsychiatryRecurrenceRefractoryResearchResourcesSamplingSchemeSeveritiesSeverity 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 treatmenttraittransfer learningtreatment responsevector
中文摘要
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英文摘要
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
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会议论文
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes
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批准号:10504696
-
项目类别:
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资助金额:$61.99万
-
财政年份:2022
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负责人:JONATHAN FLINT
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依托单位:
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes
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批准号:10646326
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项目类别:
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资助金额:$54.99万
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财政年份:2022
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负责人:JONATHAN FLINT
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依托单位:
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
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批准号:10656229
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项目类别:
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资助金额:$66.78万
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财政年份:2020
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负责人:JONATHAN FLINT
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依托单位:
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
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批准号:10238767
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项目类别:
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资助金额:$66.78万
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财政年份:2020
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负责人:JONATHAN FLINT
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依托单位:
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents
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批准号:10361239
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项目类别:
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资助金额:$69.93万
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财政年份:2018
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负责人:JONATHAN FLINT
-
依托单位:
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents
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批准号:10197749
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项目类别:
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资助金额:$71.02万
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财政年份:2018
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负责人:JONATHAN FLINT
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依托单位:
海外基金