ArticleNPJ Parkinson's disease2022
An integrated biometric voice and facial features for early detection of Parkinson's disease.
Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Facial expression deep learning algorithms in the detection of neurological disorders: a systematic review and meta-analysis.Biomedical engineering online · 2025Pooled it
- Striatal network dysfunction underlying speech impairment in early Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Technology to remotely capture key elements of swallowing and speech: State of the science in Parkinson's disease.Journal of Parkinson's disease · 2026Review
- Machine learning approach to analyzing complex care coordination patterns for medically complex children.BMC medical informatics and decision making · 2026Article
- From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.Translational neurodegeneration · 2026Review
- A novel multimodal AI framework for early diagnosis of idiopathic Parkinson's disease.Medical & biological engineering & computing · 2026Article
- Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions.World journal of otorhinolaryngology - head and neck surgery · 2026Review
- Alpha-synuclein overexpression reduces neural activity within a basal ganglia vocal nucleus in a zebra finch model.PloS one · 2026Article
- Objective Assessment of Facial Expressions in Parkinson's Disease During Deep Brain Stimulation ON and OFF States: A Pilot Study.European journal of neurology · 2026Article
- Applications of Artificial Intelligence in Neurological Voice Disorders.World journal of otorhinolaryngology - head and neck surgery · 2025Review
- Smartphone-derived multidomain features including voice, finger-tapping movement and gait aid early identification of Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Normative aging results in degradation of gene networks in a zebra finch basal ganglia nucleus dedicated to vocal behavior.Neurobiology of aging · 2025Article
- A cross-language speech model for detection of Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2025Article
- Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review.JMIR AI · 2025Review
- Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders.Journal of medical Internet research · 2025Article
- Synchronous Analysis of Speech Production and Lips Movement to Detect Parkinson's Disease Using Deep Learning Methods.Diagnostics (Basel, Switzerland) · 2024Article
- Associations of Voice Metrics with Postural Function in Parkinson's Disease.Life (Basel, Switzerland) · 2024Article
- Tips and tricks in tremor treatment.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Interpretable video-based tracking and quantification of parkinsonism clinical motor states.NPJ Parkinson's disease · 2024Article
- Effects of a Concurrent Working Memory Task on Speech Acoustics in Parkinson's Disease.American journal of speech-language pathology · 2024Article
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 at 3 institutions in 1 country.
Funding
Abstract
Hypomimia and voice changes are soft signs preceding classical motor disability in patients with Parkinson's disease (PD). We aim to investigate whether an analysis of acoustic and facial expressions with machine-learning algorithms assist early identification of patients with PD. We recruited 371 participants, including a training cohort (112 PD patients during "on" phase, 111 controls) and a validation cohort (74 PD patients during "off" phase, 74 controls). All participants underwent a smartphone-based, simultaneous recording of voice and facial expressions, while reading an article. Nine different machine learning classifiers were applied. We observed that integrated facial and voice features could discriminate early-stage PD patients from controls with an area under the receiver operating characteristic (AUROC) diagnostic value of 0.85. In the validation cohort, the optimal diagnostic value (0.90) maintained. We concluded that integrated biometric features of voice and facial expressions could assist the identification of early-stage PD patients from aged controls.
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.