Social Cognition and Suicide in Psychotic Disorders

精神障碍中的社会认知和自杀

• 批准号: 10408540
• 负责人: Colin A. Depp
• 金额: $ 9.01万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10408540
• 关键词: Administrative Supplement; Affect; Aging; Algorithms; Area; Behavior; Characteristics; Chicago; Clinical; Clinical Data; Clinical Trials; Code; Cognitive; Collaborations; Communities; Computers; Data; Data Set; Databases; Dementia; Diagnostic; Dimensions; Elements; Empathy; Evaluation; Feeling suicidal; Frequencies; Functional disorder; Funding; Goals; Grant; Illinois; Impaired cognition; Impairment; Individual; Interest Group; Interview; Investigation; Linguistics; Link; Measurement; Measures; Mediation; Mental Health; Mental disorders; Minority; Modeling; National Institute of Mental Health; Natural Language Processing; Natural Language Processing pipeline; Neurocognitive; Observational Study; Parents; Participant; Pattern; Performance; Persons; Process; Psychoses; Psychotic Disorders; Quality of life; Readiness; Records; Research; Research Personnel; Resources; Sampling; Scientist; Secure; Social Functioning; Social Interaction; Social Processes; Source; Source Code; Speech; Standardization; Suicide; Task Performances; Testing; Text; Transcript; United States National Institutes of Health; Universities; Validation; Work; base; cognitive task; data archive; data dissemination; data resource; data sharing; data standards; ethnic diversity; ideation; improved; interest; large datasets; multimodality; natural language; novel; novel marker; performance based measurement; predictive marker; prospective; racial and ethnic; severe mental illness; sharing platform; social; social cognition; social deficits; social skills; suicidal behavior; suicidal risk

PROJECT SUMMARY/ABSTRACT This administrative supplemental funding request is linked with NIMH Supported R01MH116902 and is responsive to NOT-OD-21-094 to Support Collaborations to Improve AI/ML-Readiness of NIH Supported Data. The supplement project builds a new collaboration with a computer scientist team at University of Illinois Chicago that focuses on natural language processing. The central aim of the project is to create and share a novel database resource for multi-modal speech analysis from a unique, large, and diverse sample of audio recorded standardized social interactions. Social processes are a key dimension of dysfunction in serious mental illness. The linguistic and paralinguistic markers of impairment in serious mental illness and suicide are an active area of research, consistent with the Parent Study’s focus on social processes in suicide and psychosis. However, small datasets and lack of standardization of data resources greatly hamper extant speech analysis work, disenabling investigation of mechanisms underlying observed patterns and robustness of models across potential sources of bias. In the proposed supplement, we will generate a new corpus of over 1200 cases who have standardized data for speech analysis, are richly characterized, and who are diverse across key demographic variables including minority status. Our focus is on the Social Skills Performance Assessment, which is the most widely used performance-based measure of social function, entailing expert-rated, audio recorded, simulated social interactions that involve affiliative and confrontational scenarios. In the proposed supplement, we will generate sharable, de-identified transcripts for natural language processing, with additional annotation according to conventional natural language features and also more novel dialogue actions. We will also create corresponding de-identified audio files that contain frequency, amplitude and other para-linguistic annotations. This project extends and expands parallel work in aging research led by our new collaborator team. Indeed, sharable data from speech analysis derived from standardized testing has been highly impactful in other fields, including aging and dementia research, but currently no such data resource exists in large samples of people with mental illnesses. The Aims of the project are to create, process and annotate the dataset, generate toolkits and source code for analysis, examine new markers in relation to the Parent Study Aims, and share the data to the NIMH National Data Archive and the scientific community.

项目概要/摘要 该行政补充资金请求与 NIMH 支持的 R01MH116902 相关联，并且 响应 NOT-OD-21-094，支持协作以提高 NIH 支持数据的 AI/ML 就绪性。 该补充项目与伊利诺伊大学的计算机科学家团队建立了新的合作关系 芝加哥专注于自然语言处理，该项目的中心目标是创建和共享一个 新颖的数据库资源，用于从独特的、大量的、多样化的音频样本中进行多模态语音分析 标准化记录的社会互动是严重功能障碍的一个关键方面。 严重精神疾病和自杀的语言和副语言障碍标志是 这是一个活跃的研究领域，与家长研究对自杀和自杀的社会过程的关注一致 然而，数据集小和数据资源标准化的缺乏极大地阻碍了现有的研究。 语音分析工作，无法对观察到的模式和稳健性背后的机制进行调查 在拟议的补充中，我们将生成一个新的语料库。 超过 1200 个案例，拥有用于语音分析的标准化数据，特征丰富，并且 包括少数族裔地位在内的关键人口变量的多样性。我们的重点是社交技能。 绩效评估是最广泛使用的基于绩效的社会功能衡量标准， 需要专家评分、录音、模拟社交互动，涉及亲和和对抗 在提议的补充方案中，我们将为自然生成可共享的、去识别化的转录本。 语言处理，根据常规自然语言特征进行附加注释，还 我们还将创建相应的去识别化音频文件，其中包含更多新奇的对话动作。 该项目扩展并扩展了并行工作。 事实上，由我们的新合作者团队领导的老龄化研究，来自语音分析的可共享数据。 标准化测试在其他领域产生了巨大影响，包括衰老和痴呆研究，但是 目前，在大量精神疾病患者样本中不存在此类数据资源。 是创建、处理和注释数据集，生成用于分析的工具包和源代码，检查新的 与家长研究目标相关的标记，并将数据共享给 NIMH 国家数据档案馆和 科学界。

项目成果

Ecological momentary facial emotion recognition in psychotic disorders.

精神障碍中的生态瞬时面部情绪识别。

• 发表时间: 2022-10
• 影响因子: 6.9
• 作者: Depp, Colin A;Kamarsu, Snigdha;Filip, Tess F;Parrish, Emma M;Harvey, Philip D;Granholm, Eric L;Chalker, Samantha;Moore, Raeanne C;Pinkham, Amy
• 通讯作者: Pinkham, Amy

Relationships between Sleep Quality, Introspective Accuracy, and Confidence Differ among People with Schizophrenia, Schizoaffective Disorder, and Bipolar Disorder with Psychotic Features.

精神分裂症、分裂情感障碍和具有精神病特征的双相情感障碍患者的睡眠质量、内省准确性和自信心之间的关系有所不同。

• 发表时间: 2024-02-28
• 作者: Springfield, Cassi R;Pinkham, Amy E;Harvey, Philip D;Moore, Raeanne C;Ackerman, Robert A;Depp, Colin A;Bonfils, Kelsey A
• 通讯作者: Bonfils, Kelsey A