ArticleJMIR formative research2022
Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments: Observational Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Phenotyping for Monitoring Mental Disorders: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Voice Patterns as Markers of Schizophrenia: Building a Cumulative Generalizable Approach Via a Cross-Linguistic and Meta-analysis Based Investigation.Schizophrenia bulletin · 2023Pooled it
- Article
- Exploring the Role of Stigma and Reduced Facial Expressions in Shaping First Impressions of Individuals with Schizophrenia.Schizophrenia bulletin · 2026Article
- Vocal Markers of Schizophrenia: Assessing the Generalizability of Machine Learning Models and Their Clinical Applicability.Schizophrenia bulletin · 2026Article
- Multimodal machine learning for video based single question mental health assessment.NPJ digital medicine · 2025Article
- Quantitative semiology: harnessing AI-generated teaching signals in psychiatry.Journal of psychiatry & neuroscience : JPN · 2025Article
- Exploring the clinical utility of rhythmic digital markers for schizophrenia.PLOS digital health · 2025Article
- Clinical efficacy and prognosis study of recurrent laryngeal nerve anatomical surgery on serum TNF-a, CRP, interleukins IL-6, IL-10, and IL-1b and outcomes.Journal of medical biochemistry · 2025Article
- Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.JMIR formative research · 2025Article
- Digital phenotyping using smartphones could help steer mental health treatment.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Sounds like gambling: detection of gambling venue visitation from sounds in gamblers' environments using a transformer.Scientific reports · 2025Article
- Measurement of schizophrenia symptoms through speech analysis from PANSS interview recordings.Frontiers in psychiatry · 2025Article
- Initial expressed emotion during neuropsychological assessment: investigating motivational dimensions of approach and avoidance.Journal of clinical and experimental neuropsychology · 2024Article
- Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis.Schizophrenia bulletin · 2024Article
- Automating the analysis of facial emotion expression dynamics: A computational framework and application in psychotic disorders.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Unique Challenges in Biomarkers for Psychotic Disorders.Brain sciences · 2024Article
- Kenya Psychosis-Risk Outcomes Study (KePROS): Development of an Accelerated Medicine Partnership Schizophrenia-Aligned Project in Africa.Schizophrenia bulletin open · 2024Article
- Rationale and Challenges for a New Instrument for Remote Measurement of Negative Symptoms.Schizophrenia bulletin open · 2024Review
- Computerized text and voice analysis of patients with chronic schizophrenia in art therapy.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMachine learning-based facial and vocal measurements have demonstrated relationships with schizophrenia diagnosis and severity. Demonstrating utility and validity of remote and automated assessments conducted outside of controlled experimental or clinical settings can facilitate scaling such measurement tools to aid in risk assessment and tracking of treatment response in populations that are difficult to engage.
objectiveThis study aimed to determine the accuracy of machine learning-based facial and vocal measurements acquired through automated assessments conducted remotely through smartphones.
methodsMeasurements of facial and vocal characteristics including facial expressivity, vocal acoustics, and speech prevalence were assessed in 20 patients with schizophrenia over the course of 2 weeks in response to two classes of prompts previously utilized in experimental laboratory assessments: evoked prompts, where subjects are guided to produce specific facial expressions and speech; and spontaneous prompts, where subjects are presented stimuli in the form of emotionally evocative imagery and asked to freely respond. Facial and vocal measurements were assessed in relation to schizophrenia symptom severity using the Positive and Negative Syndrome Scale.
resultsVocal markers including speech prevalence, vocal jitter, fundamental frequency, and vocal intensity demonstrated specificity as markers of negative symptom severity, while measurement of facial expressivity demonstrated itself as a robust marker of overall schizophrenia symptom severity.
conclusionsEstablished facial and vocal measurements, collected remotely in schizophrenia patients via smartphones in response to automated task prompts, demonstrated accuracy as markers of schizophrenia symptom severity. Clinical implications are discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.