Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.
Lawson Health Research Institute, Mental Health, London, Ontario, Canada.
Early Interv Psychiatry. 2021 Apr;15(2):344-351. doi: 10.1111/eip.12948. Epub 2020 Mar 3.
Thought disorder is a core feature of schizophrenia but assessment of disordered thinking is challenging, which may contribute to the paucity of mechanistic understanding of disorganization in early psychosis. We studied the use of linguistic connectives in relation to clinically quantified dimensions of thought disorder using automated speech analysis in untreated, first episode psychosis (FEPs) and healthy controls (HCs).
39 treatment-naïve, actively psychotic FEPs and 23 group matched HCs were recruited. Three one-minute speech samples were induced in response to photographs from the Thematic Apperception Test and speech was analysed using COH-METRIX software. Five connectives variables from the Coh-Metrix software were reduced using principle component analysis, resulting in two linguistic connectives factors. Thought disorder was assessed using the Thought Language Index (TLI) and the PANSS-8.
Connective factors predicted disorganization, but not impoverishment suggesting aberrant use of connectives is specific to positive thought disorder. An independent t test comparing low and high disorganization FEPs showed higher load of acausal temporal connectives in high disorganization FEPs compared to low disorganization FEPs (mean [SD] in high vs low disorganization FEPs = 0.64 (1.1) vs -0.37 (1.02); t = 2.91, P = .006). Acausal-temporal connectives were not correlated with severity of symptoms or cognition suggesting connective use is a specific index of disorganized thinking rather than overall illness status.
Clinical assessment of disorganization in psychosis is likely linked to the aberrant use of connectives resulting in an intuitive sense of incoherence. In early psychosis, thought disorder may be reliably quantifiable using automated syntax analysis.
思维障碍是精神分裂症的核心特征,但思维紊乱的评估具有挑战性,这可能导致对早期精神病患者思维紊乱的机制理解不足。我们使用未经治疗的首发精神病(FEP)和健康对照组(HC)的自动语音分析研究了与临床量化的思维障碍维度相关的语言连接词的使用情况。
招募了 39 名未经治疗、处于活跃期的 FEP 和 23 名匹配的 HC。用主题统觉测试的照片诱导他们进行了三个一分钟的演讲样本,并用 COH-METRIX 软件分析演讲。使用主成分分析对 COH-METRIX 软件中的五个连接变量进行了简化,得出了两个语言连接因素。使用思维语言指数(TLI)和 PANSS-8 评估思维障碍。
连接因素预测了思维紊乱,但不能预测语言贫乏,这表明连接词的异常使用是阳性思维紊乱的特异性表现。对低和高紊乱 FEP 进行独立 t 检验显示,高紊乱 FEP 中的因果时间连接词的负荷更高(高紊乱 FEP 与低紊乱 FEP 的平均值[标准差]为 0.64(1.1)与-0.37(1.02);t=2.91,P=0.006)。因果时间连接词与症状严重程度或认知无关,这表明连接词的使用是思维紊乱的特定指标,而不是整体疾病状态。
精神分裂症患者的临床思维紊乱评估可能与连接词的异常使用有关,这导致了一种不连贯的直观感觉。在早期精神病中,使用自动句法分析可以可靠地量化思维障碍。