Technology-based assessment of motor and nonmotor phenomena in Parkinson disease. (2nd November 2018)

• Record Type: Journal Article
• Authors: Merola, Aristide; Sturchio, Andrea; Hacker, Stephanie; Serna, Santiago; Vizcarra, Joaquin A.; Marsili, Luca; Fasano, Alfonso; Espay, Alberto J.
• Is Part Of: Expert review of neurotherapeutics. Volume 18:Number 11(2018)
• Page Start: 825
• Page End: 845
• Publication Date: 2018-11-02
• Subjects: Biomarker -- Parkinson -- technology -- motor symptoms -- nonmotor symptoms -- trial; Neuropharmacology -- Periodicals; 615.7805
• DOI: 10.1080/14737175.2018.1530593
• Languages: English
• ISSNs: 1473-7175

Abstract

ABSTRACT: Introduction : The increasing development and availability of portable and wearable technologies is rapidly expanding the field of technology-based objective measures (TOMs) in neurological disorders, including Parkinson disease (PD). Substantial challenges remain in the recognition of disease phenomena relevant to patients and clinicians, as well as in the identification of the most appropriate devices to carry out these measurements. Areas covered : The authors systematically reviewed PubMed for studies employing technology as outcome measures in the assessment of PD-associated motor and nonmotor abnormalities. Expert commentary : TOMs minimize intra- and inter-rater variability in clinical assessments of motor and nonmotor phenomena in PD, improving the accuracy of clinical endpoints. Critical unmet needs for the integration of TOMs into clinical and research practice are the identification and validation of relevant endpoints for individual patients, the capture of motor and nonmotor activities from an ecologically valid environment, the integration of various sensor data into an open-access, common-language platforms, and the definition of a regulatory pathway for approval of TOMs. The current lack of multidomain, multisensor, smart technologies to measure in real time a wide scope of relevant changes remain a significant limitation for the integration of technology into the assessment of PD motor and nonmotor functional disability.