ReviewCurrent opinion in psychiatry2014
Automated computerized analysis of speech in psychiatric disorders.
Review in Current opinion in psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 98 citations in OpenAlex.
- What do we really know about blunted vocal affect and alogia? A meta-analysis of objective assessments.Schizophrenia research · 2014Pooled 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
- Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Trial
- The effects of oxytocin and galantamine on objectively-defined vocal and facial expression: Data from the CIDAR study.Schizophrenia research · 2017Trial
- Linking speech patterns to brain structure in affective and psychotic disorders: an integrative natural language processing approach.Molecular psychiatry · 2026Article
- The Utility of Speech and Language Analytics for Screening Alzheimer's Disease.Neuro-degenerative diseases · 2026Review
- Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.Translational psychiatry · 2025Article
- Method Matters: Enhancing Voice-Based Depression Detection With a New Data Collection Framework.Depression and anxiety · 2025Article
- Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study.JMIR mental health · 2024Article
- Predictive modeling of neuroticism in depressed and non-depressed cohorts using voice features.Journal of affective disorders · 2024Article
- Rationale and Challenges for a New Instrument for Remote Measurement of Negative Symptoms.Schizophrenia bulletin open · 2024Review
- Multitask and Transfer Learning Approach for Joint Classification and Severity Estimation of Dysphonia.IEEE journal of translational engineering in health and medicine · 2024Article
- Computerized text and voice analysis of patients with chronic schizophrenia in art therapy.Scientific reports · 2023Article
- Understanding mental health through computers: An introduction to computational psychiatry.Frontiers in psychiatry · 2023Review
- Remote Assessment of Negative Symptoms of Schizophrenia.Schizophrenia bulletin open · 2023Review
- Automated analysis of speech as a marker of sub-clinical psychotic experiences.Frontiers in psychiatry · 2023Review
- Deconstructing heterogeneity in schizophrenia through language: a semi-automated linguistic analysis and data-driven clustering approach.Schizophrenia (Heidelberg, Germany) · 2022Article
- Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation.Schizophrenia bulletin · 2022Article
- Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis.Schizophrenia (Heidelberg, Germany) · 2022Article
- The Important Role of Motivation and Pleasure Deficits on Social Functioning in Patients With Schizophrenia: A Network Analysis.Schizophrenia bulletin · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
purpose of reviewDisturbances in communication are a hallmark feature of severe mental illnesses. Recent technological advances have paved the way for objectifying communication using automated computerized semantic, linguistic and acoustic analyses. We review recent studies applying various computer-based assessments to the natural language produced by adult patients with severe mental illness. RECENT
findingsAutomated computerized methods afford tools with which it is possible to objectively evaluate patients in a reliable, valid and efficient manner that complements human ratings. Crucially, these measures correlate with important clinical measures. The clinical relevance of these novel metrics has been demonstrated by showing their relationship to functional outcome measures, their in-vivo link to classic 'language' regions in the brain, and, in the case of linguistic analysis, their relationship to candidate genes for severe mental illness. SUMMARY: Computer-based assessments of natural language afford a framework with which to measure communication disturbances in adults with severe mental illnesses. Emerging evidence suggests that they can be reliable and valid, and overcome many practical limitations of more traditional assessment methods. The advancement of these technologies offers unprecedented potential for measuring and understanding some of the most crippling symptoms of some of the most debilitating illnesses known to humankind.
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.