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Related Experiment Video

Updated: Jun 17, 2026

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

Aging, time scales, and sensorimotor variability.

Karl M Newell¹, Gottfried Mayer-Kress, Yeou-Teh Liu

¹Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA. Kmn1@psu.edu

Psychology and Aging

|December 23, 2009

Summary

This summary is machine-generated.

Aging reduces shorter time scales in movement control, impacting motor variability. Shorter time scales are sensitive biomarkers for detecting early aging and disease effects.

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Published on: January 26, 2024

Area of Science:

Neuroscience
Biophysics
Human Movement Science

Background:

Aging is associated with increased intraindividual variability in behavior.
Understanding the time scales of this variability is crucial for aging research.

Purpose of the Study:

Investigate time scales of variability in aging using a dynamic systems framework.
Examine if shorter time scales are lost with aging and act as sensitive biomarkers.

Main Methods:

Dynamic analysis of movement and postural variability.
Analysis of frequency and time domains of motor output.
Self-organization and dynamic systems framework.

Main Results:

Aging is linked to a reduction or loss of shorter time scales in movement control.
Shorter time scales in motor variability are more sensitive to aging and disease onset.

Conclusions:

Dynamic analysis reveals distinct roles of stability and noise in age-related variability.
Shorter time scales are key indicators for early detection of aging and disease impacts.