Speech disturbances in schizophrenia: Assessing cross-linguistic generalizability of NLP automated measures of coherence
文献类型：期刊论文
| 作者 | Parola, Alberto1,8,9; Lin, Jessica Mary8,9; Simonsen, Arndis7,8; Bliksted, Vibeke7,8; Zhou, Yuan6 ; Wang, Huiling5; Inoue, Lana3,4; Koelkebeck, Katja3,4; Fusaroli, Riccardo2,8,9
|
| 刊名 | SCHIZOPHRENIA RESEARCH
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 259页码:59-70 |
| 关键词 | Natural language processing Digital phenotyping Thought disorder Schizophrenia spectrum disorder Semantic coherence Biomarker Communication disorders |
| ISSN号 | 0920-9964 |
| DOI | 10.1016/j.schres.2022.07.002 |
| 通讯作者 | Parola, Alberto(alberto.parol@gmail.com) |
| 英文摘要 | Introduction: Language disorders - disorganized and incoherent speech in particular -are distinctive features of schizophrenia. Natural language processing (NLP) offers automated measures of incoherent speech as promising markers for schizophrenia. However, the scientific and clinical impact of NLP markers depends on their generalizability across contexts, samples, and languages, which we systematically assessed in the present study relying on a large, novel, cross-linguistic corpus.Methods: We collected a Danish (DK), German (GE), and Chinese (CH) cross-linguistic dataset involving tran-scripts from 187 participants with schizophrenia (111DK, 25GE, 51CH) and 200 matched controls (129DK, 29GE, 42CH) performing the Animated Triangles Task. Fourteen previously published NLP coherence measures were calculated, and between-groups differences and association with symptoms were tested for cross-linguistic generalizability.Results: One coherence measure, i.e. second-order coherence, robustly generalized across samples and languages. We found several language-specific effects, some of which partially replicated previous findings (lower coherence in German and Chinese patients), while others did not (higher coherence in Danish patients). We found several associations between symptoms and measures of coherence, but the effects were generally inconsistent across languages and rating scales.Conclusions: Using a cumulative approach, we have shown that NLP findings of reduced semantic coherence in schizophrenia have limited generalizability across different languages, samples, and measures. We argue that several factors such as sociodemographic and clinical heterogeneity, cross-linguistic variation, and the different NLP measures reflecting different clinical aspects may be responsible for this variability. Future studies should take this variability into account in order to develop effective clinical applications targeting different patient populations. |
| 收录类别 | SCI |
| WOS关键词 | SOCIAL COGNITION ; LANGUAGE ; PSYCHOSIS ; PERFORMANCE ; DISORDERS ; THOUGHT ; MIND |
| 资助项目 | Marie Sklodowska-Curie Actions - H2020-MSCA-IF-2018 grant[832518] ; Carlsberg Foundation ; Japan Society for the promotion of Science (JSPS)[PE 07550] ; Interacting Minds Centre |
| WOS研究方向 | Psychiatry |
| 语种 | 英语 |
| WOS记录号 | WOS:001104250400001 |
| 出版者 | ELSEVIER |
| 资助机构 | Marie Sklodowska-Curie Actions - H2020-MSCA-IF-2018 grant ; Carlsberg Foundation ; Japan Society for the promotion of Science (JSPS) ; Interacting Minds Centre |
| 源URL | [http://ir.psych.ac.cn/handle/311026/46495]  |
| 专题 | 心理研究所_健康与遗传心理学研究室 |
| 通讯作者 | Parola, Alberto |
| 作者单位 | 1.Jens Chr Skous Vej 2, DK-8000 Aarhus C, Denmark 2.Univ Penn, Linguist Data Consortium, Philadelphia, PA USA 3.Univ Duisburg Essen, Ctr Translat Neuro & Behav Sci C TNBS, Essen, Germany 4.Hosp & Inst Univ Duisburg Essen, LVR Hosp Essen, Dept Psychiat & Psychotherapy, Essen, Germany 5.Wuhan Univ, Dept Psychiat, Renmin Hosp, Wuhan, Peoples R China 6.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China 7.Aarhus Univ, Psychosis Res Unit, Dept Clin Med, Aarhus, Denmark 8.Aarhus Univ, Interacting Minds Ctr, Dept Culture & Soc, Aarhus, Denmark 9.Aarhus Univ, Dept Linguist Semiot & Cognit Sci, DK-8000 Aarhus, Denmark |
| 推荐引用方式 GB/T 7714 | Parola, Alberto,Lin, Jessica Mary,Simonsen, Arndis,et al. Speech disturbances in schizophrenia: Assessing cross-linguistic generalizability of NLP automated measures of coherence[J]. SCHIZOPHRENIA RESEARCH,2023,259:59-70. |
| APA | Parola, Alberto.,Lin, Jessica Mary.,Simonsen, Arndis.,Bliksted, Vibeke.,Zhou, Yuan.,...&Fusaroli, Riccardo.(2023).Speech disturbances in schizophrenia: Assessing cross-linguistic generalizability of NLP automated measures of coherence.SCHIZOPHRENIA RESEARCH,259,59-70. |
| MLA | Parola, Alberto,et al."Speech disturbances in schizophrenia: Assessing cross-linguistic generalizability of NLP automated measures of coherence".SCHIZOPHRENIA RESEARCH 259(2023):59-70. |
入库方式： OAI收割
来源：心理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。