TY - JOUR
T1 - Identifying Subtle Motor Deficits Before Parkinson's Disease is Diagnosed
T2 - What to Look for?
AU - Maetzler, Walter
AU - Mirelman, Anat
AU - Pilotto, Andrea
AU - Bhidayasiri, Roongroj
N1 - Publisher Copyright:
© 2024 - The authors. Published by IOS Press.
PY - 2024/10/1
Y1 - 2024/10/1
N2 - Motor deficits typical of Parkinson's disease (PD), such as gait and balance disturbances, tremor, reduced arm swing and finger movement, and voice and breathing changes, are believed to manifest several years prior to clinical diagnosis. Here we describe the evidence for the presence and progression of motor deficits in this pre-diagnostic phase in order to provide suggestions for the design of future observational studies for an effective, quantitatively oriented investigation. On the one hand, these future studies must detect these motor deficits in as large (potentially, population-based) cohorts as possible with high sensitivity and specificity. On the other hand, they must describe the progression of these motor deficits in the pre-diagnostic phase as accurately as possible, to support the testing of the effect of pharmacological and non-pharmacological interventions. Digital technologies and artificial intelligence can substantially accelerate this process.
AB - Motor deficits typical of Parkinson's disease (PD), such as gait and balance disturbances, tremor, reduced arm swing and finger movement, and voice and breathing changes, are believed to manifest several years prior to clinical diagnosis. Here we describe the evidence for the presence and progression of motor deficits in this pre-diagnostic phase in order to provide suggestions for the design of future observational studies for an effective, quantitatively oriented investigation. On the one hand, these future studies must detect these motor deficits in as large (potentially, population-based) cohorts as possible with high sensitivity and specificity. On the other hand, they must describe the progression of these motor deficits in the pre-diagnostic phase as accurately as possible, to support the testing of the effect of pharmacological and non-pharmacological interventions. Digital technologies and artificial intelligence can substantially accelerate this process.
KW - Artificial intelligence
KW - digital technology
KW - identification
KW - motor markers
KW - prodromal Parkinson's disease
KW - progression
UR - http://www.scopus.com/inward/record.url?scp=85188078069&partnerID=8YFLogxK
U2 - 10.3233/JPD-230350
DO - 10.3233/JPD-230350
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C2 - 38363620
AN - SCOPUS:85188078069
SN - 1877-7171
VL - 14
SP - S287-S296
JO - Journal of Parkinson's Disease
JF - Journal of Parkinson's Disease
ER -