ArticleFrontiers in psychiatry2018
Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State.
Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Linking speech patterns to brain structure in affective and psychotic disorders: an integrative natural language processing approach.Molecular psychiatry · 2026Article
- Disorganisation and depression: a re-examination of how we think and speak when depressed.European archives of psychiatry and clinical neuroscience · 2026Review
- Language-based detection of depression with machine learning: systematic review and meta-analysis.NPJ digital medicine · 2026Article
- Expressive pragmatic language in mood and psychotic disorders: a systematic review and meta-analysis.Schizophrenia (Heidelberg, Germany) · 2026Review
- Interpretable depression assessment using a large language model.PLOS digital health · 2026Article
- Unmasking mental distress: exploring the spectrum of cognitive distortions associated with symptoms of anxiety, depression, and suicidal ideation.Cognitive processing · 2026Article
- Language-Based Detection of Depression with Machine Learning: Systematic Review and Meta- Analysis.Research square · 2025Article
- Increased self-focus and diminished informativity: referential and structural properties of narrative speech production in borderline personality disorder.Borderline personality disorder and emotion dysregulation · 2025Article
- Cross-modal co-occurrence analysis of nonverbal behavior and content words, vocal emotion and prosody in individuals with subclinical depression.BMC psychology · 2025Article
- Spontaneous thought separates into clusters of negative, positive, and flexible thinking.Communications psychology · 2025Article
- Detecting depression in speech using verbal behavior analysis: a cross-cultural study.Frontiers in psychology · 2025Article
- Language use in depressed and non-depressed mothers and their adolescent offspring.Journal of affective disorders · 2024Article
- Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning.Scientific reports · 2024Article
- Linguistic Variables and Gender Differences Within a Messenger-Based Psychosocial Chat Counseling Service for Children and Adolescents: Cross-Sectional Study.JMIR formative research · 2024Article
- Linguistic markers for major depressive disorder: a cross-sectional study using an automated procedure.Frontiers in psychology · 2024Article
- Relationship between duration of sick leave and time variation of words used in return-to-work programs for depression.Work (Reading, Mass.) · 2024Article
- Syntactic Errors in Older Adults with Depression.Medicina (Kaunas, Lithuania) · 2023Article
- Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach.JMIR AI · 2023Article
- An automatic speech analytics program for digital assessment of stress burden and psychosocial health.Npj mental health research · 2023Article
- Supporting Post-Stroke Language and Cognition with Pharmacotherapy: Tools for Each Phase of Care.Current neurology and neuroscience reports · 2023Review
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesDeviations from typical word use have been previously reported in clinical depression, but language patterns of mild depression (MD), as distinct from normal sadness (NS) and euthymic state, are unknown. In this study, we aimed to apply the linguistic approach as an additional diagnostic key for understanding clinical variability along the continuum of affective states.
methodsWe studied 402 written reports from 124 Russian-speaking patients and 77 healthy controls (HC), including 35 cases of NS, using hand-coding procedures. The focus of our psycholinguistic methods was on lexico-semantic [e.g., rhetorical figures (metaphors, similes)], syntactic [e.g., predominant sentence type (single-clause and multi-clause)], and lexico-grammatical [e.g., pronouns (indefinite, personal)] variables. Statistical evaluations included Cohen's kappa for inter-rater reliability measures, a non-parametric approach (Mann-Whitney
resultsIn MD, as compared with healthy individuals, written responses were longer, demonstrated descriptive rather than analytic style, showed signs of spoken and figurative language, single-clause sentences domination over multi-clause, atypical word order, increased use of personal and indefinite pronouns, and verb use in continuous/imperfective and past tenses. In NS, as compared with HC, we found greater use of lexical repetitions, omission of words, and verbs in continuous and present tenses. MD was significantly differentiated from NS and euthymic state by linguistic variables [98.6%; Wilks' λ(40) = 0.009;
conclusionMD is characterized by patterns of atypical language use distinguishing depression from NS and euthymic state, which points to a potential role of linguistic indicators in diagnosing affective states.
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