Technology in Parkinson's disease:challenges and opportunities


The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling the capture of more and previously inaccessible phenomena in Parkinson's disease (PD). However, more information has not translated into a greater understanding of disease complexity to satisfy diagnostic and therapeutic needs. Challenges include noncompatible technology platforms, the need for wide-scale and long-term deployment of sensor technology (among vulnerable elderly patients in particular), and the gap between the "big data" acquired with sensitive measurement technologies and their limited clinical application. Major opportunities could be realized if new technologies are developed as part of open-source and/or open-hardware platforms that enable multichannel data capture sensitive to the broad range of motor and nonmotor problems that characterize PD and are adaptable into self-adjusting, individualized treatment delivery systems. The International Parkinson and Movement Disorders Society Task Force on Technology is entrusted to convene engineers, clinicians, researchers, and patients to promote the development of integrated measurement and closed-loop therapeutic systems with high patient adherence that also serve to (1) encourage the adoption of clinico-pathophysiologic phenotyping and early detection of critical disease milestones, (2) enhance the tailoring of symptomatic therapy, (3) improve subgroup targeting of patients for future testing of disease-modifying treatments, and (4) identify objective biomarkers to improve the longitudinal tracking of impairments in clinical care and research. This article summarizes the work carried out by the task force toward identifying challenges and opportunities in the development of technologies with potential for improving the clinical management and the quality of life of individuals with PD. © 2016 International Parkinson and Movement Disorder Society.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: This is the peer reviewed version of the following article: EEspay, A. J., Bonato, P., Nahab, F. B., Maetzler, W., Dean, J. M., Klucken, J., ... Movement Disorders Society Task Force on Technology (2016). Technology in Parkinson's disease: challenges and opportunities. Movement Disorders, 31(9), 1272-1282, which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Uncontrolled Keywords: digital biomarkers,digital health,eHealth,Parkinson's disease,precision medicine,remote monitoring,technology,wearable technology,Medicine(all),Neurology,Clinical Neurology
Publication ISSN: 1531-8257
Last Modified: 17 Jun 2024 07:20
Date Deposited: 24 May 2016 08:45
Full Text Link: http://onlineli ... .26642/abstract
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2016-09
Published Online Date: 2016-04-29
Accepted Date: 2016-03-18
Submitted Date: 2015-12-23
Authors: Espay, Alberto J.
Bonato, Paolo
Nahab, Fatta B.
Maetzler, Walter
Dean, John M.
Klucken, Jochen
Eskofier, Bjoern M.
Merola, Aristide
Horak, Fay
Lang, Anthony E.
Reilmann, Ralf
Giuffrida, Joe
Nieuwboer, Alice
Horne, Malcolm
Little, Max A. (ORCID Profile 0000-0002-1507-3822)
Litvan, Irene
Simuni, Tanya
Dorsey, E. Ray
Burack, Michelle A.
Kubota, Ken
Kamondi, Anita
Godinho, Catarina
Daneault, Jean-Francois
Mitsi, Georgia
Krinke, Lothar
Hausdorff, Jeffery M.
Bloem, Bastiaan R.
Papapetropoulos, Spyros
, Movement Disorders Society Task Force on Technology



Version: Accepted Version

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