Robust Predictors of Mania and Psychosis

躁狂症和精神病的稳健预测因子

基本信息

  • 批准号:
    10164863
  • 负责人:
  • 金额:
    $ 69.46万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-08-03 至 2023-05-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY/ABSTRACT The purpose of the new funding opportunity announcement, RFA-OD-17-004 for Intensive Longitudinal Analysis of Health Behaviors: Leveraging New Technologies To Understand Health Behaviors (U01), is to establish a cooperative agreement network to collaboratively study factors that influence key health behaviors in the dynamic environment of individuals, using intensive longitudinal data collection and analytic methods. Importantly, progress has been slow and frustrating in translating knowledge of the brain to new and more effective treatments for human brain diseases such as severe mental disorders. In fact, severe mental disorders, which include psychotic disorders, are brain diseases that are not only devastating because they result in severe disruptions that occur early in life, but, for many, the course of illness is progressive, leading to chronic debilitation and early mortality. Thus the need to accelerate knowledge about the factors that trigger (or increase or decrease the likelihood) of manic and psychotic episodes, and to translate this knowledge to more effective treatment interventions, is critical. The primary goal of the proposed “Robust Predictors of Mania and Psychosis” is to identify biological, environmental, and social factors that trigger dangerous mental states, particularly mania and psychosis, in individuals known to be at risk for these conditions. The eventual goal of this work is to provide quantifiable and predictable information that can be used to scaffold biological observations and tailor intervention strategies to maximize efficacy at the individual level. We first develop models to predict conventional clinical measures specific to psychosis and mania using (1) digital, low- to-minimal burden interactions through smartphones and wearables (Aim 1), and (2) measures extracted from face and voice during in-person clinical interactions (Aim 2), work which leverages existing data we have already collected. We will next collect one hundred person-years of pseudo-continuous multivariate behavioral data from one hundred individuals with a psychotic disorder, to further test and validate our early observations in a wider array of individuals with affective and non-affective psychotic disorders, who are likely to experience illness fluctuations within a one-year timeframe, employing several strategies to optimize participant engagement (Aim 3). We will also perform, as a representative example, a study comparing sleep, energy expenditure, and mania symptoms over time, using data obtained in the first three aims, to quantify how the relationship between energy expenditure and energy perception varies across our study population in ways that could have important consequences for health behaviors (Aim 4). The main goals of this project are thus to acquire high quality, temporally dense behavioral, cognitive, and clinical data on an important cohort of young adult patients, not only to facilitate future investigations linking these behavioral change points to neurobiological processes but also as a precursor to more effective, targeted therapeutics, such as real-time interventions that could be delivered based on dynamic factors in an individual's environment.
项目总结/文摘

项目成果

期刊论文数量(0)
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专利数量(0)

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JUSTIN T BAKER其他文献

JUSTIN T BAKER的其他文献

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{{ truncateString('JUSTIN T BAKER', 18)}}的其他基金

SCH: INT: Collaborative Research: Context-Adaptive Multimodal Informatics for Psychiatric Discharge Planning
SCH:INT:合作研究:用于精神病出院计划的上下文自适应多模态信息学
  • 批准号:
    10573225
  • 财政年份:
    2021
  • 资助金额:
    $ 69.46万
  • 项目类别:
SCH: INT: Collaborative Research: Context-Adaptive Multimodal Informatics for Psychiatric Discharge Planning
SCH:INT:合作研究:用于精神病出院计划的上下文自适应多模态信息学
  • 批准号:
    10392429
  • 财政年份:
    2021
  • 资助金额:
    $ 69.46万
  • 项目类别:
Robust Predictors of Mania and Psychosis
躁狂症和精神病的稳健预测因子
  • 批准号:
    9755521
  • 财政年份:
    2018
  • 资助金额:
    $ 69.46万
  • 项目类别:
Robust Predictors of Mania and Psychosis
躁狂症和精神病的稳健预测因子
  • 批准号:
    9920544
  • 财政年份:
    2018
  • 资助金额:
    $ 69.46万
  • 项目类别:
Robust Predictors of Mania and Psychosis
躁狂症和精神病的稳健预测因子
  • 批准号:
    10571298
  • 财政年份:
    2018
  • 资助金额:
    $ 69.46万
  • 项目类别:
Modulation of the OCD neural network by conventional treatment
通过常规治疗调节强迫症神经网络
  • 批准号:
    10594013
  • 财政年份:
    2015
  • 资助金额:
    $ 69.46万
  • 项目类别:
Modulation of the OCD neural network by conventional treatment
通过常规治疗调节强迫症神经网络
  • 批准号:
    10411710
  • 财政年份:
    2015
  • 资助金额:
    $ 69.46万
  • 项目类别:
Frontoparietal Network Integrity and Risk for Psychosis
额顶网络完整性和精神病风险
  • 批准号:
    9085375
  • 财政年份:
    2014
  • 资助金额:
    $ 69.46万
  • 项目类别:
Frontoparietal Network Integrity and Risk for Psychosis
额顶网络完整性和精神病风险
  • 批准号:
    9312877
  • 财政年份:
    2014
  • 资助金额:
    $ 69.46万
  • 项目类别:
Frontoparietal Network Integrity and Risk for Psychosis
额顶网络完整性和精神病风险
  • 批准号:
    8755695
  • 财政年份:
    2014
  • 资助金额:
    $ 69.46万
  • 项目类别:

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  • 批准号:
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