Tyler C. Dalal, Liangbing Liang, Angelica M. Silva, Michael Mackinley, Alban Voppel, Lena Palaniyappan
{"title":"精神病发病前、发病期间和发病后基于语音的自然语言档案:聚类分析","authors":"Tyler C. Dalal, Liangbing Liang, Angelica M. Silva, Michael Mackinley, Alban Voppel, Lena Palaniyappan","doi":"10.1111/acps.13685","DOIUrl":null,"url":null,"abstract":"Background and HypothesisSpeech markers are digitally acquired, computationally derived, quantifiable set of measures that reflect the state of neurocognitive processes relevant for social functioning. “Oddities” in language and communication have historically been seen as a core feature of schizophrenia. The application of natural language processing (NLP) to speech samples can elucidate even the most subtle deviations in language. We aim to determine if NLP based profiles that are distinctive of schizophrenia can be observed across the various clinical phases of psychosis.DesignOur sample consisted of 147 participants and included 39 healthy controls (HC), 72 with first‐episode psychosis (FEP), 18 in a clinical high‐risk state (CHR), 18 with schizophrenia (SZ). A structured task elicited 3 minutes of speech, which was then transformed into quantitative measures on 12 linguistic variables (lexical, syntactic, and semantic). Cluster analysis that leveraged healthy variations was then applied to determine language‐based subgroups.ResultsWe observed a three‐cluster solution. The largest cluster included most HC and the majority of patients, indicating a ‘typical linguistic profile (TLP)’. One of the atypical clusters had notably high semantic similarity in word choices with less perceptual words, lower cohesion and analytical structure; this cluster was almost entirely composed of patients in early stages of psychosis (EPP – early phase profile). The second atypical cluster had more patients with established schizophrenia (SPP – stable phase profile), with more perceptual but less cognitive/emotional word classes, simpler syntactic structure, and a lack of sufficient reference to prior information (reduced givenness).ConclusionThe patterns of speech deviations in early and established stages of schizophrenia are distinguishable from each other and detectable when lexical, semantic and syntactic aspects are assessed in the pursuit of ‘formal thought disorder’.","PeriodicalId":108,"journal":{"name":"Acta Psychiatrica Scandinavica","volume":"45 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Speech based natural language profile before, during and after the onset of psychosis: A cluster analysis\",\"authors\":\"Tyler C. Dalal, Liangbing Liang, Angelica M. Silva, Michael Mackinley, Alban Voppel, Lena Palaniyappan\",\"doi\":\"10.1111/acps.13685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background and HypothesisSpeech markers are digitally acquired, computationally derived, quantifiable set of measures that reflect the state of neurocognitive processes relevant for social functioning. “Oddities” in language and communication have historically been seen as a core feature of schizophrenia. The application of natural language processing (NLP) to speech samples can elucidate even the most subtle deviations in language. We aim to determine if NLP based profiles that are distinctive of schizophrenia can be observed across the various clinical phases of psychosis.DesignOur sample consisted of 147 participants and included 39 healthy controls (HC), 72 with first‐episode psychosis (FEP), 18 in a clinical high‐risk state (CHR), 18 with schizophrenia (SZ). A structured task elicited 3 minutes of speech, which was then transformed into quantitative measures on 12 linguistic variables (lexical, syntactic, and semantic). Cluster analysis that leveraged healthy variations was then applied to determine language‐based subgroups.ResultsWe observed a three‐cluster solution. The largest cluster included most HC and the majority of patients, indicating a ‘typical linguistic profile (TLP)’. One of the atypical clusters had notably high semantic similarity in word choices with less perceptual words, lower cohesion and analytical structure; this cluster was almost entirely composed of patients in early stages of psychosis (EPP – early phase profile). The second atypical cluster had more patients with established schizophrenia (SPP – stable phase profile), with more perceptual but less cognitive/emotional word classes, simpler syntactic structure, and a lack of sufficient reference to prior information (reduced givenness).ConclusionThe patterns of speech deviations in early and established stages of schizophrenia are distinguishable from each other and detectable when lexical, semantic and syntactic aspects are assessed in the pursuit of ‘formal thought disorder’.\",\"PeriodicalId\":108,\"journal\":{\"name\":\"Acta Psychiatrica Scandinavica\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Psychiatrica Scandinavica\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/acps.13685\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Psychiatrica Scandinavica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/acps.13685","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Speech based natural language profile before, during and after the onset of psychosis: A cluster analysis
Background and HypothesisSpeech markers are digitally acquired, computationally derived, quantifiable set of measures that reflect the state of neurocognitive processes relevant for social functioning. “Oddities” in language and communication have historically been seen as a core feature of schizophrenia. The application of natural language processing (NLP) to speech samples can elucidate even the most subtle deviations in language. We aim to determine if NLP based profiles that are distinctive of schizophrenia can be observed across the various clinical phases of psychosis.DesignOur sample consisted of 147 participants and included 39 healthy controls (HC), 72 with first‐episode psychosis (FEP), 18 in a clinical high‐risk state (CHR), 18 with schizophrenia (SZ). A structured task elicited 3 minutes of speech, which was then transformed into quantitative measures on 12 linguistic variables (lexical, syntactic, and semantic). Cluster analysis that leveraged healthy variations was then applied to determine language‐based subgroups.ResultsWe observed a three‐cluster solution. The largest cluster included most HC and the majority of patients, indicating a ‘typical linguistic profile (TLP)’. One of the atypical clusters had notably high semantic similarity in word choices with less perceptual words, lower cohesion and analytical structure; this cluster was almost entirely composed of patients in early stages of psychosis (EPP – early phase profile). The second atypical cluster had more patients with established schizophrenia (SPP – stable phase profile), with more perceptual but less cognitive/emotional word classes, simpler syntactic structure, and a lack of sufficient reference to prior information (reduced givenness).ConclusionThe patterns of speech deviations in early and established stages of schizophrenia are distinguishable from each other and detectable when lexical, semantic and syntactic aspects are assessed in the pursuit of ‘formal thought disorder’.
期刊介绍:
Acta Psychiatrica Scandinavica acts as an international forum for the dissemination of information advancing the science and practice of psychiatry. In particular we focus on communicating frontline research to clinical psychiatrists and psychiatric researchers.
Acta Psychiatrica Scandinavica has traditionally been and remains a journal focusing predominantly on clinical psychiatry, but translational psychiatry is a topic of growing importance to our readers. Therefore, the journal welcomes submission of manuscripts based on both clinical- and more translational (e.g. preclinical and epidemiological) research. When preparing manuscripts based on translational studies for submission to Acta Psychiatrica Scandinavica, the authors should place emphasis on the clinical significance of the research question and the findings. Manuscripts based solely on preclinical research (e.g. animal models) are normally not considered for publication in the Journal.