ArticleSeminars in neurology2022
Digital Phenotyping in Clinical Neurology.
Article in Seminars in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed, 29 citations in OpenAlex.
- Digital Remote Assessment of Motor and Speech Changes in Amyotrophic Lateral Sclerosis: Longitudinal Observational Study.JMIR formative research · 2026Observational
- AI-enabled digital phenotyping for Alzheimer's disease: a review of multimodal sensor integration and symptom trajectories.Alzheimer's research & therapy · 2026Review
- Digital assessment in myasthenia gravis: evidence, validation, and a proposed framework for autoimmune heterogeneity, remote monitoring, and clinical endpoints.Frontiers in immunology · 2026Review
- Bridging Ontologies of Neurological Conditions: Towards Patient-centered Data Practices in Digital Phenotyping Research and Design.Proceedings of the ACM on human-computer interaction · 2025Article
- Mitigating the impact of motor impairment on self-administered digital tests: a longitudinal cohort study in stroke.EClinicalMedicine · 2025Article
- Strengthening Africa's brain health and economic resilience.Nature medicine · 2025Review
- Remote Monitoring of Amyotrophic Lateral Sclerosis Using Digital Health Technologies: Shifting Toward Digitalized Care and Research?Neurology · 2025Review
- A digital measure of eye movements during reading sensitively captures oculomotor and speech dysfunction, early changes, and disease progression in ataxias.medRxiv : the preprint server for health sciences · 2025Article
- Multimodal Digital Phenotyping of Behavior in a Neurology Clinic: Development of the Neurobooth Platform and the First Two Years of Data Collection.medRxiv : the preprint server for health sciences · 2025Article
- The Newborn Screening Programme Revisited: An Expert Opinion on the Challenges of Rett Syndrome.Genes · 2024Article
- Pathways to personalized medicine-Embracing heterogeneity for progress in clinical therapeutics research in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Navigating the U.S. regulatory landscape for neurologic digital health technologies.NPJ digital medicine · 2024Article
- Sensitive Quantification of Cerebellar Speech Abnormalities Using Deep Learning Models.IEEE access : practical innovations, open solutions · 2024Article
- At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis.Nature communications · 2023Article
- Accuracy and Reliability of At-home Quantification of Motor Impairments Using a Computer-based Pointing Task with Children with Ataxia-Telangiectasia.ACM transactions on accessible computing · 2023Article
- The visualization of Orphadata neurology phenotypes.Frontiers in digital health · 2023Article
- Real-life ankle submovements and computer mouse use reflect patient-reported function in adult ataxias.Brain communications · 2023Article
- Assessing Cerebellar Disorders with Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches.Sensors (Basel, Switzerland) · 2022Article
- Automatic Classification and Severity Estimation of Ataxia From Finger Tapping Videos.Frontiers in neurology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Internet-connected devices, including personal computers, smartphones, smartwatches, and voice assistants, have evolved into powerful multisensor technologies that billions of people interact with daily to connect with friends and colleagues, access and share information, purchase goods, play games, and navigate their environment. Digital phenotyping taps into the data streams captured by these devices to characterize and understand health and disease. The purpose of this article is to summarize opportunities for digital phenotyping in neurology, review studies using everyday technologies to obtain motor and cognitive information, and provide a perspective on how neurologists can embrace and accelerate progress in this emerging field.
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.