Neurobiological Markers as Predictors of Later Functional Outcome in First Episode Psychosis
神经生物学标记物作为首发精神病后期功能结果的预测因子
基本信息
- 批准号:10376420
- 负责人:
- 金额:$ 37.49万
- 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:2020-02-14 至 2023-01-31
- 项目状态:已结题
- 来源:
- 关键词:Administrative SupplementAreaAwardBackBehavioralBiological MarkersCOVID-19COVID-19 pandemicCareer MobilityClassificationClinicalCluster AnalysisCognitiveDataData CollectionDeteriorationDoctor of PhilosophyElectroencephalographyEnrollmentFundingGoalsGrantHeterogeneityIndividualInterruptionInvestmentsLongevityLongitudinal cohortMachine LearningMagnetic Resonance ImagingManuscriptsMental disordersNational Institute of Mental HealthNeurobiologyOnset of illnessOutcomeOutcome MeasureParentsPatientsPhasePhenotypePrincipal InvestigatorPsychosesPublishingRecovery of FunctionResearchResearch PriorityResourcesRiskRoleSample SizeSamplingScienceStrategic PlanningStructureSubgroupTimeTreatment outcomeWagesbasebiomarker panelbrain volumecareerexperiencefirst episode psychosisfollow up assessmentfollow-upfunctional outcomesneuroimagingpandemic diseaseparent projectpredictive modelingrecruit
项目摘要
PROJECT SUMMARY
Due to the COVID-19 pandemic, the parent R01 project experienced significant delays and interruptions in the
last year of award, resulting in substantial components (Aim 2) of the investment being at risk. Also, the
principal investigator’s grants are ending with no additional funding. This supplement will thus provide a critical
resource to: i) complete the proposed longitudinal cohort data collection in order to achieve the proposed
project goals; ii) extend the science of parent R01 project beyond the initial follow-up period to include the
early-stage illness period; iii) provide much needed salary support of the principal investigator.
NIMH priority research area: Examine Mental Illness Trajectories Across the Lifespan.
Scope of the Parent Project (MH109687): to characterize bio-classes of first episode of psychosis patients
(FEP) using an expanded biomarker panel and to investigate the role of bio-classes as predictors of later
functional outcomes.
Specific Aim 1: To bio-classify FEP patients into distinct homogeneous sub-groups (bio-classes) using a
constellation of biomarkers and phenotypes at baseline.
Specific Aim 2a: To investigate whether baseline bio-classes are associated with and predictive of later
functional outcomes over a two-year follow-up period and collect comprehensive biomarker, clinical, and
functional outcome measures at each time point.
Specific Aim 2b: To examine differences between bio-classes and DSM classification in associations with later
functional outcomes and recovery trajectories over two-years.
Contribution of the requested supplement: Although the 2-year follow-up data was not collected due to the
COVID-19 disruption, we predict that baseline bio-classes will continue to be significantly associated with and
predictive of later functional outcomes throughout the early-stage illness beyond the initial proposed 2 years.
Therefore, we propose a Modified Specific Aim 2a: To investigate whether baseline bio-classes are associated
with and predictive of later functional outcomes during early-stage illness. We will bring back FEP patients
(N=58) who have already enrolled in the study with baseline data and collect follow-up data. The follow-up
period will thus be extended within 4 years of illness onset. We predict that machine learning clustering
analyses will parse out heterogeneity of patients making reliable bio-class classifications and predictions.
Specific Aim 2b will remain unchanged.
项目摘要
由于共同199大流行,父母R01项目在
去年的奖励,导致投资处于风险的大量组成部分(AIM 2)。另外,
首席调查员的补助金未能以额外的资金结束。因此,这种补充剂将提供关键
资源至:i)完成提议的纵向队列数据收集,以实现提议的
项目目标; ii)将父级R01项目的科学扩展到最初的随访期之后
早期疾病时期; iii)为主要研究人员提供了急需的薪水支持。
NIMH优先研究领域:检查整个生命周期的精神疾病轨迹。
父项目的范围(MH109687):表征精神病患者第一集的生物级
(FEP)使用扩展的生物标志物面板,并研究生物级的作用作为后来的预测指标
功能结果。
特定目的1:将生物分类的FEP患者分为不同的同质亚组(Bio-Classes)
基线时生物标志物和表型星座。
特定目的2a:研究基线生物级是否与以后相关并预测
在两年的随访期内的功能结果,并收集全面的生物标志物,临床和
在每个时间点的功能结果度量。
特定目标2b:检查与以后的关联中的生物级和DSM分类之间的差异
两年内的功能结果和恢复轨迹。
请求的补充剂的贡献:尽管未收集2年的随访数据
COVID-19中断,我们预测基线生物级将继续与之显着相关,并且
在最初提议的2年之外,可以预测整个早期疾病的后期功能结果。
因此,我们提出了一个修改的特定目标2a:研究基线生物级是否相关
并预测早期疾病期间的功能结果。我们将带回FEP患者
(n = 58)已经使用基线数据参加了研究并收集后续数据。后续
因此,期间将在疾病发作后的4年内延长。我们预测机器学习集群
分析将解析对可靠的生物级分类和预测的患者的异质性。
具体目标2B将保持不变。
项目成果
期刊论文数量(17)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Transcriptome-wide association study reveals two genes that influence mismatch negativity.
- DOI:10.1016/j.celrep.2021.108868
- 发表时间:2021-03-16
- 期刊:
- 影响因子:8.8
- 作者:Bhat A;Irizar H;Thygesen JH;Kuchenbaecker K;Pain O;Adams RA;Zartaloudi E;Harju-Seppänen J;Austin-Zimmerman I;Wang B;Muir R;Summerfelt A;Du XM;Bruce H;O'Donnell P;Srivastava DP;Friston K;Hong LE;Hall MH;Bramon E
- 通讯作者:Bramon E
Is auditory processing measured by the N100 an endophenotype for psychosis? A family study and a meta-analysis
- DOI:10.1017/s0033291723003409
- 发表时间:2023-11-24
- 期刊:
- 影响因子:6.9
- 作者:Wang,Baihan;Otten,Leun J.;Bramon,Elvira
- 通讯作者:Bramon,Elvira
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Mei-Hua Hall其他文献
Mei-Hua Hall的其他文献
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{{ truncateString('Mei-Hua Hall', 18)}}的其他基金
Modeling Temporality with Natural Language Processing to Predict Readmission Risk of Patients with Psychosis
使用自然语言处理对时序进行建模以预测精神病患者的再入院风险
- 批准号:
10445583 - 财政年份:2022
- 资助金额:
$ 37.49万 - 项目类别:
Modeling Temporality with Natural Language Processing to Predict Readmission Risk of Patients with Psychosis
使用自然语言处理对时序进行建模以预测精神病患者的再入院风险
- 批准号:
10669207 - 财政年份:2022
- 资助金额:
$ 37.49万 - 项目类别:
Identification of Trauma-related Features in EHR Data for Patients with Psychosis and Mood Disorders
精神病和情绪障碍患者 EHR 数据中创伤相关特征的识别
- 批准号:
10427433 - 财政年份:2021
- 资助金额:
$ 37.49万 - 项目类别:
Identification of Trauma-related Features in EHR Data for Patients with Psychosis and Mood Disorders
精神病和情绪障碍患者 EHR 数据中创伤相关特征的识别
- 批准号:
10296954 - 财政年份:2021
- 资助金额:
$ 37.49万 - 项目类别:
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
GWAS Er 中精神疾病风险变异的功能特征
- 批准号:
8078853 - 财政年份:2010
- 资助金额:
$ 37.49万 - 项目类别:
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
GWAS Er 中精神疾病风险变异的功能特征
- 批准号:
8641415 - 财政年份:2010
- 资助金额:
$ 37.49万 - 项目类别:
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
GWAS Er 中精神疾病风险变异的功能特征
- 批准号:
8279387 - 财政年份:2010
- 资助金额:
$ 37.49万 - 项目类别:
Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
GWAS Er 中精神疾病风险变异的功能特征
- 批准号:
7892862 - 财政年份:2010
- 资助金额:
$ 37.49万 - 项目类别:
Functional Characterization of Risk Genes for Psychotic Illness in the GWAS Era
GWAS 时代精神疾病风险基因的功能表征
- 批准号:
8444577 - 财政年份:2010
- 资助金额:
$ 37.49万 - 项目类别:
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