Adaptive, personalized closed-loop therapy for Parkinson's disease: biochemical, neurophysiological, and wearable sensing systems.
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UNIL restricted access
State: Public
Version: Author's accepted manuscript
License: Not specified
Serval ID
serval:BIB_D8B26A3B48C9
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Adaptive, personalized closed-loop therapy for Parkinson's disease: biochemical, neurophysiological, and wearable sensing systems.
Journal
Expert review of neurotherapeutics
ISSN
1744-8360 (Electronic)
ISSN-L
1473-7175
Publication state
Published
Issued date
12/2021
Peer-reviewed
Oui
Volume
21
Number
12
Pages
1371-1388
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
Motor complication management is one of the main unmet needs in Parkinson's disease patients.
Among the most promising emerging approaches for handling motor complications in Parkinson's disease, adaptive deep brain stimulation strategies operating in closed-loop have emerged as pivotal to deliver sustained, near-to-physiological inputs to dysfunctional basal ganglia-cortical circuits over time. Existing sensing systems that can provide feedback signals to close the loop include biochemical-, neurophysiological- or wearable-sensors. Biochemical sensing allows to directly monitor the pharmacokinetic and pharmacodynamic of antiparkinsonian drugs and metabolites. Neurophysiological sensing relies on neurotechnologies to sense cortical or subcortical brain activity and extract real-time correlates of symptom intensity or symptom control during DBS. A more direct representation of the symptom state, particularly the phenomenological differentiation and quantification of motor symptoms, can be realized via wearable sensor technology.
Biochemical, neurophysiologic, and wearable-based biomarkers are promising technological tools that either individually or in combination could guide adaptive therapy for Parkinson's disease motor symptoms in the future.
Among the most promising emerging approaches for handling motor complications in Parkinson's disease, adaptive deep brain stimulation strategies operating in closed-loop have emerged as pivotal to deliver sustained, near-to-physiological inputs to dysfunctional basal ganglia-cortical circuits over time. Existing sensing systems that can provide feedback signals to close the loop include biochemical-, neurophysiological- or wearable-sensors. Biochemical sensing allows to directly monitor the pharmacokinetic and pharmacodynamic of antiparkinsonian drugs and metabolites. Neurophysiological sensing relies on neurotechnologies to sense cortical or subcortical brain activity and extract real-time correlates of symptom intensity or symptom control during DBS. A more direct representation of the symptom state, particularly the phenomenological differentiation and quantification of motor symptoms, can be realized via wearable sensor technology.
Biochemical, neurophysiologic, and wearable-based biomarkers are promising technological tools that either individually or in combination could guide adaptive therapy for Parkinson's disease motor symptoms in the future.
Keywords
Basal Ganglia, Deep Brain Stimulation, Humans, Parkinson Disease/drug therapy, Wearable Electronic Devices, Closed-loop therapy, aDBS, adaptive therapy, biochemical sensing, dyskinesias, lfp, motor fluctuations, symptoms monitoring, therapy management, wearable sensing
Pubmed
Web of science
Create date
16/11/2021 9:27
Last modification date
09/02/2022 6:32