Temporal processing variability as a scalable marker of Parkinson's disease progression

Area of Science:

• Neuroscience
• Neurology
• Chronobiology

Background:

• Parkinson's disease (PD) involves disruptions in temporal organization of motor and non-motor behaviors.
• Basal ganglia-thalamocortical circuit dysfunction is implicated in PD's timing impairments.
• The link between temporal variability, PD progression, and clinical severity is not well-defined.

Purpose of the Study:

• To systematically analyze and quantify temporal processing variability in PD.
• To investigate the relationship between temporal variability and PD clinical severity markers.
• To explore associations with participant age and disease progression.

Main Methods:

• Systematic analysis of empirical studies on temporal processing in PD.
• Quantification of temporal processing variability using the coefficient of variation (CV).
• Correlation analyses of CV with UPDRS scores, Hoehn and Yahr (H&Y) stages, and age.

Main Results:

• Temporal processing CV positively correlated with UPDRS scores, independent of age.
• CV negatively correlated with H&Y stage and age, potentially due to measurement differences.
• No significant differences in CV across task type, temporal range, or medication status were found, though limited by study heterogeneity.

Conclusions:

• Temporal processing variability is linked to clinical markers of PD severity.
• Increased temporal variability may reflect disease progression beyond normal aging.
• Temporal processing variability is a potential target for future PD research.