Context- and Subgroup-Specific Language Changes in Individuals Who Develop PTSD After Trauma

A natural language processing approach reveals first-person pronoun usage and non-fluency as markers of therapeutic alliance in psychotherapy

It remains elusive what language markers derived from psychotherapy sessions are indicative of therapeutic alliance, limiting our capacity to assess and provide feedback on the trusting quality of the patient-clinician relationship. To address this critical knowledge gap, we leveraged feature extraction methods from natural language processing (NLP), a subfield of artificial intelligence, to quantify pronoun and non-fluency language markers that are relevant for communicative and emotional aspects of therapeutic relationships. From twenty-eight transcripts of non-manualized psychotherapy sessions recorded in outpatient clinics, we identified therapists' first-person pronoun usage frequency and patients' speech transition marking relaxed interaction style as potential metrics of alliance. Behavioral data from patients who played an economic game that measures social exchange (i.e. trust game) suggested that therapists' first-person pronoun usage may influence alliance ratings through their diminished trusting behavior toward therapists. Together, this work supports that communicative language features in patient-therapist dialogues could be markers of alliance.

Linguistic distancing predicts response to a digital single-session intervention for adolescent depression

Examining the linguistic characteristics of youths' writing may be a promising method for detecting youth who are struggling. In this study, we examined linguistic patterns of adolescent responses to writing prompts in a large, well-powered trial of an evidence-based, digital single-session intervention teaching malleability beliefs about personal traits and symptoms ("growth mindset"). Participants who completed the intervention as part of a larger randomized control trial were included in this preregistered study (n = 638, https://osf.io/zqmxt). Participants' responses were processed using Linguistic Inquiry and Word Count. We tested correlations between linguistic variables (i.e., linguistic distancing, positive affect, negative affect, insight, certainty), baseline outcome variables, post-intervention outcome variables, and 3-month post-intervention outcome variables. We also used Least Absolute Shrinkage and Selection Operator (LASSO) regression models to identify key predictors of treatment outcomes. As hypothesized, greater use of linguistic distancing was associated with lower levels of baseline hopelessness and higher levels of perceived agency. Additionally, per LASSO models including all linguistic variables, greater use of linguistic distancing predicted larger reductions in depressive symptoms from baseline to three-month follow-up. Linguistic distancing appeared to account for 27% of the variance in depression trajectories when also accounting for baseline depression. CLINICAL REGISTRATION NO: NCT04634903.

Linguistic measures of psychological distance track symptom levels and treatment outcomes in a large set of psychotherapy transcripts

Using language to “distance” ourselves from distressing situations (i.e., by talking less about ourselves and the present moment) can help us manage emotions. Here, we translate this basic research to discover that such “linguistic distancing” is a replicable measure of mental health in a large set of therapy transcripts (N = 6,229). Additionally, clustering techniques showed that language alone could identify participants who differed on both symptom severity and treatment outcomes. These findings lay the foundation for 1) tools that can rapidly identify people in need of psychological services based on language alone and 2) linguistic interventions that can improve mental health.

Using language to distance oneself from negative stimuli (e.g., by reducing use of the word “I” and present-tense verbs) is associated with effective emotion regulation. Given that internalizing disorders like anxiety and depression are characterized by maladaptive emotion regulation, stronger linguistic distance may be both a diagnostic marker of lower internalizing symptoms and a prognostic indicator of treatment progress. Here, we tested these hypotheses in a large corpus of naturalistic psychotherapeutic exchanges between clients and their therapists (>1.2 million messages from 6,229 clients). In both exploratory (n = 3,729) and validation (n = 2,500) datasets, we found that clients’ internalizing symptoms decreased over therapy, that client linguistic distance increased over therapy, and that internalizing symptoms tracked fluctuations in linguistic distance both within and between individuals. In other words, clients shifted from discussing themselves and the present moment to discussing other people and time points over treatment, and this psycholinguistic shift was related to symptom reductions. However, effect sizes for linguistic results were small, and we failed to find consistent evidence that linguistic distance statistically mediated changes in symptoms over time. Finally, clustering analyses revealed that data-driven groups of clients defined solely on the basis of their linguistic distance differed in both their symptom severity and treatment outcomes. Together, these findings provide replicable evidence that linguistic distance is a marker of internalizing symptom severity and treatment progress in real-world therapeutic interactions.