Digital Technologies for Symptom Monitoring in Parkinson Disease

Research studies have demonstrated that DHT can accurately and reliably monitor both motor and non-motor symptoms of PD, surpassing the limitations of subjective and episodic traditional clinical assessments. Digital measures show promise in predicting PD before clinical diagnosis, differentiating between individuals with and without PD, and detecting subtle symptom changes over time. Portable and non-invasive technologies-such as mobile applications, wearable sensors, and radio wave activity trackers-offer the opportunity to assess symptoms remotely, capturing day-to-day changes and real-world experiences. DHT have the potential to optimize monitoring of PD symptoms in clinical and research settings, which may help advance therapeutic development and tailor treatment interventions. As DHT continue evolving, standardization of the collection methods and selection of clinically relevant digital measures will be crucial for their wide-scale implementation.

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Publication Details

Journal
Current Neurology and Neuroscience Reports
Published
2026-03-04
DOI
https://doi.org/10.1007/s11910-026-01481-7
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
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article

Digital Technologies for Symptom Monitoring in Parkinson Disease

Natalia Chunga, Venkat N. Reddy, Jamie L. Adams, William Barbosa
Current Neurology and Neuroscience Reports
Parkinson's Disease Mechanisms and Treatments
article

Digital Technologies for Symptom Monitoring in Parkinson Disease

Natalia Chunga, Venkat N. Reddy, Jamie L. Adams, William Barbosa
article en

Abstract

Research studies have demonstrated that DHT can accurately and reliably monitor both motor and non-motor symptoms of PD, surpassing the limitations of subjective and episodic traditional clinical assessments. Digital measures show promise in predicting PD before clinical diagnosis, differentiating between individuals with and without PD, and detecting subtle symptom changes over time. Portable and non-invasive technologies-such as mobile applications, wearable sensors, and radio wave activity trackers-offer the opportunity to assess symptoms remotely, capturing day-to-day changes and real-world experiences. DHT have the potential to optimize monitoring of PD symptoms in clinical and research settings, which may help advance therapeutic development and tailor treatment interventions. As DHT continue evolving, standardization of the collection methods and selection of clinically relevant digital measures will be crucial for their wide-scale implementation.

Current Neurology and Neuroscience ReportsVol. 26(1)
Louisiana State University in Shreveport (US), University of Rochester (US), Louisiana State University Health Sciences Center Shreveport (US)
Openalex Percentile: Top 41%
Parkinson's Disease Mechanisms and Treatments
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