ArticleJournal of abnormal psychology2016
Vocal expression in schizophrenia: Less than meets the ear.
Article in Journal of abnormal psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Lowering costs for large-scale screening in psychosis: a systematic review and meta-analysis of performance and value of information for speech-based psychiatric evaluation.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)Pooled it
- The effects of oxytocin and galantamine on objectively-defined vocal and facial expression: Data from the CIDAR study.Schizophrenia research · 2017Trial
- Humanizing "multimodal" digital phenotyping of serious mental illness.Journal of psychopathology and clinical science · 2026Article
- Reading between the lines: Combining pause dynamics and semantic coherence for automated assessment of thought disorder.Neuropsychologia · 2026Article
- Uncertainty modeling in multimodal speech analysis across the psychosis spectrum.NPJ digital medicine · 2026Article
- Speech characteristics yield important clues about motor function: Speech variability in individuals at clinical high-risk for psychosis.Schizophrenia (Heidelberg, Germany) · 2023Article
- Exploring the ability of vocal biomarkers in distinguishing depression from bipolar disorder, schizophrenia, and healthy controls.Frontiers in psychiatry · 2023Article
- Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies.Schizophrenia bulletin · 2022Article
- Automatic language analysis identifies and predicts schizophrenia in first-episode of psychosis.Schizophrenia (Heidelberg, Germany) · 2022Article
- High Predictive Accuracy of Negative Schizotypy With Acoustic Measures.Clinical psychological science : a journal of the Association for Psychological Science · 2022Article
- Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments: Observational Study.JMIR formative research · 2022Article
- Understanding Language Abnormalities and Associated Clinical Markers in Psychosis: The Promise of Computational Methods.Schizophrenia bulletin · 2021Article
- Digital phenotyping of negative symptoms: the relationship to clinician ratings.Schizophrenia bulletin · 2021Article
- Negative symptoms and speech pauses in youths at clinical high risk for psychosis.NPJ schizophrenia · 2021Article
- Validating Biobehavioral Technologies for Use in Clinical Psychiatry.Frontiers in psychiatry · 2021Article
- Article
- Using machine learning of computerized vocal expression to measure blunted vocal affect and alogia.NPJ schizophrenia · 2020Article
- The meaning of group differences in cognitive test performance.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2019Article
- Using biobehavioral technologies to effectively advance research on negative symptoms.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2019Article
- Clinical correlates of aberrant conversational turn-taking in youth at clinical high-risk for psychosis.Schizophrenia research · 2019Article
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4 authors.
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Abstract
Abnormalities in nonverbal communication are a hallmark of schizophrenia. Results from studies using symptom rating scales suggest that these abnormalities are profound (i.e., 3-5 SDs) and occur across virtually every channel of vocal expression. Computerized acoustic analytic technologies, used to overcome practical and psychometric limitations with symptom rating scales, have found much more benign and isolated abnormalities. To better understand vocal deficits in schizophrenia and to advance acoustic analytic technologies for clinical and research applications, we examined archived speech samples from 5 separate studies, each using different speaking tasks (patient N = 309; control N = 117). We sought to: (a) use Principal Component Analysis (PCA) to identify independent vocal expression measures from a large set of variables, (b) quantify how patients with schizophrenia are abnormal with respect to these variables, (c) evaluate the impact of demographic and contextual factors (e.g., study site, speaking task), and (d) examine the relationship between clinically-rated psychiatric symptoms and vocal variables. PCA identified 7 independent markers of vocal expression. Most of these vocal variables varied considerably as a function of context and many were associated with demographic factors. After controlling for context and demographics, there were no meaningful differences in vocal expression between patients and controls. Within patients, vocal variables were associated with a range of psychiatric symptoms-though only pause length was significantly associated with clinically rated negative symptoms. The discussion centers on explaining the apparent discordance between clinical and computerized speech measures.
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Registered trials
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