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.

项目总结/文摘

项目成果

Ecological momentary facial emotion recognition in psychotic disorders.

• DOI: 10.1017/s0033291720004419
• 发表时间: 2022-10
• 期刊: Psychological medicine
• 影响因子: 6.9
• 作者: Depp CA;Kamarsu S;Filip TF;Parrish EM;Harvey PD;Granholm EL;Chalker S;Moore RC;Pinkham A
• 通讯作者: Pinkham A