Automated Speech Analysis: A Marker of Drug Intoxication & Treatment Outcome

自动语音分析:药物中毒的标志

基本信息

项目摘要

 DESCRIPTION (provided by applicant): A major limitation of existing assessments of clinically-relevant mental states related to drug use, abuse, and treatment is that self-report measures rely on the capacity and motivation to accurately report one's internal experiences. A potential alternative is presented by emerging computer-based natural language processing methods that can extract fine-grained semantic, structural, and syntactic features from free speech1, potentially providing a unique 'window into the mind.' These methods are widely used in industry2, yet remain largely unknown in clinical research. To begin to assess the potential of these advanced analytic methods in clinical research, we recently partnered with IBM computer science researchers to test computer-based analysis of speech semantic structure. In preliminary work, we were able to demonstrate that such methods could detect acute drug intoxication3 and accurately predicted the development of psychosis in clinical risk states4. Here, we propose to build on these highly promising initial findings, conducting three secondary data analyses to rapidly and cost-effectively advance this novel direction. Projects 1 and 2 will extend our preliminary work on speech markers of mental state changes during acute drug intoxication. In Project 1, we will assess speech semantic, structural, and syntactic features as markers of mental state changes due to MDMA (0, 0.75, 1.5 mg/kg; oral). In Project 2, we will extend these findings to another drug, assessing speech markers of intoxication with LSD (0, 70 μg; intravenous). These projects are possible because we have access to existing transcripts of free speech from within-subject, controlled laboratory studies of the effects of MDMA (N = 77) and LSD (N = 19). Potential future uses for these methods could include rapid characterization of the effects of emerging drugs and, potentially, detection of acute drug intoxication in the absence of biochemical confirmation. Project 3 will assess the use of speech analysis as a prognostic marker in substance abuse treatment. Specifically, we will use speech transcripts (N = 50) from a currently ongoing study to assess whether features extracted from baseline free speech can predict treatment outcome in cocaine users undergoing 12 weeks of CBT relapse prevention. Self-report5,6 and manual coding of speech7-9 suggest that motivation to change may be a predictor of treatment outcome for substance use disorders: we expect that the fine-grained computational methods we will employ will allow the development of more accurate predictive models. The capacity to use automated methods to detect mental states from free speech has wide ranging, potentially transformative implications for addiction medicine and psychiatry more broadly4,10. Results of the proposed secondary analyses projects will efficiently advance understanding of how automated speech analysis, a non-invasive and cost- effective assessment method, could be used in clinical practice and research about drug abuse. More broadly, results may contribute to the empirical basis for the development of automated, objective, speech- based diagnostic and prognostic tests in psychiatry.


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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Richard W Foltin其他文献

Richard W Foltin的其他文献

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{{ truncateString('Richard W Foltin', 18)}}的其他基金

Impulsivity In Cocaine Abusers: Relationship to Drug Taking and Treatment Outcome
可卡因滥用者的冲动:与吸毒和治疗结果的关系
  • 批准号:
    8694439
  • 财政年份:
    2014
  • 资助金额:
    $ 8.1万
  • 项目类别:
Impulsivity In Cocaine Abusers: Relationship to Drug Taking and Treatment Outcome
可卡因滥用者的冲动:与吸毒和治疗结果的关系
  • 批准号:
    9040137
  • 财政年份:
    2014
  • 资助金额:
    $ 8.1万
  • 项目类别:
Impulsivity In Cocaine Abusers: Relationship to Drug Taking and Treatment Outcome
可卡因滥用者的冲动:与吸毒和治疗结果的关系
  • 批准号:
    9252429
  • 财政年份:
    2014
  • 资助金额:
    $ 8.1万
  • 项目类别:
Hypocretin Antagonists as a Novel Approach to Medication Development
下丘脑分泌素拮抗剂作为药物开发的新方法
  • 批准号:
    8233458
  • 财政年份:
    2011
  • 资助金额:
    $ 8.1万
  • 项目类别:
Clinical and Preclinical Models in Drug Abuse: Training and Development
药物滥用的临床和临床前模型:培训和开发
  • 批准号:
    8685228
  • 财政年份:
    2011
  • 资助金额:
    $ 8.1万
  • 项目类别:
Hypocretin Antagonists as a Novel Approach to Medication Development
下丘脑分泌素拮抗剂作为药物开发的新方法
  • 批准号:
    8106887
  • 财政年份:
    2011
  • 资助金额:
    $ 8.1万
  • 项目类别:
Hypocretin Antagonists as a Novel Approach to Medication Development
下丘脑分泌素拮抗剂作为药物开发的新方法
  • 批准号:
    8445339
  • 财政年份:
    2011
  • 资助金额:
    $ 8.1万
  • 项目类别:
Clinical and Preclinical Models in Drug Abuse: Training and Development
药物滥用的临床和临床前模型:培训和开发
  • 批准号:
    8488420
  • 财政年份:
    2011
  • 资助金额:
    $ 8.1万
  • 项目类别:
Clinical and Preclinical Models in Drug Abuse: Training and Development
药物滥用的临床和临床前模型:培训和开发
  • 批准号:
    8286888
  • 财政年份:
    2011
  • 资助金额:
    $ 8.1万
  • 项目类别:
Clinical and Preclinical Models in Drug Abuse: Training and Development
药物滥用的临床和临床前模型:培训和开发
  • 批准号:
    8164971
  • 财政年份:
    2011
  • 资助金额:
    $ 8.1万
  • 项目类别:

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