Evidence map›Paper›PMID 39572854›Full record

ArticleEarly intervention in psychiatry2025

Evolution of Linguistic Markers of Agency, Centrality and Content During Metacognitive Therapy for Psychosis: A Pilot Exploratory Study.

Amir H Nikzad, Paul H Lysaker, Kyle S Minor, Bethany Leonhardt, Mark Y Liberman, Jenifer Vohs, Courtney N Wiesepape, Sunny X Tang

Abstract read
In one paragraph

Article in Early intervention in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Humanizing "multimodal" digital phenotyping of serious mental illness.Journal of psychopathology and clinical science · 2026
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Amir H NikzadInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.ORCID 0000-0001-7244-7141
Paul H LysakerDepartment of Psychiatry, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA.ORCID 0000-0002-6617-9387
Kyle S MinorDepartment of Psychology, Indiana University - Indianapolis, Indianapolis, Indiana, USA.
Bethany LeonhardtDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Mark Y LibermanLinguistic Data Consortium, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jenifer VohsDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Courtney N WiesepapeDepartment of Psychology, Austin VA Outpatient Clinic, Central Texas VA Health Care System, Austin, Texas, USA.
Sunny X TangInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.

Funding

Advancing Computational Linguistic Biomarkers of Disorganized Speech in PsychosisK23MH130750 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI TANG, SUNNY XIAOJING · 2022 to 2024
$586k
NIMH NIH HHS K23 MH130750
6 · The paper itself

Abstract

aimMetacognitive Reflection and Insight Therapy (MERIT) is a form of person-centred psychotherapy that promotes recovery-oriented outcomes by targeting metacognitive capacity. Previous research has shown the feasibility and clinical benefits of MERIT. However, it is not clear whether and how the specific processes targeted by MERIT (e.g., improved sense of agency, self-reflectivity, awareness of others, etc.) are manifested in the patient-therapist communications. In this study, we used natural language processing (NLP) to explore objective linguistic markers of change during MERIT for early psychosis.

methodsFive patients underwent 24 sessions each of MERIT, which were recorded and transcribed verbatim. The transcripts underwent NLP to determine the patterns of pronoun use and the frequency of semantic categories related to temporality and mental processing. Mixed linear regressions were used to examine how NLP features evolve over the course of psychotherapeutic sessions.

resultsAnalyses detected shifts in specific language signals over time including (1) changes in patterns of pronoun usage with more active and central first-person plural pronoun (We); (2) transition in temporal focus of speech from past-focus towards present- and future-focus and (3) increased words representing perceptual and cognitive processes.

conclusionOur findings suggest NLP can objectively quantify meaningful signals consistent with expected subjective changes in MERIT and potentially other psychotherapeutic interventions.

Indexed as

Cognitive Behavioral TherapyMetacognitionNatural Language ProcessingPsychotic DisordersAdultFemaleHumansLinguisticsMalePilot ProjectsYoung Adultcomputational psychiatrymetacognitive reflection and insight therapy (MERIT)natural language processing (NLP)semantic role labellingsemantic speech graph

Identifiers

PMID39572854
PMCPMC11930121

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.