Publication Cover
Experimental Aging Research
An International Journal Devoted to the Scientific Study of the Aging Process
Volume 37, 2011 - Issue 4
601
Views
22
CrossRef citations to date
0
Altmetric
Original Articles

Aging and Motor Variability: A Test of the Neural Noise Hypothesis

&
Pages 377-397 | Received 26 Aug 2009, Accepted 24 Jan 2010, Published online: 29 Jul 2011
 

Abstract

Experimental tests of the neural noise hypothesis of aging, which holds that aging-related increments in motor variability are due to increases in white noise in the perceptual-motor system, were conducted. Young (20–29 years old) and old (60–69 and 70–79 years old) adults performed several perceptual-motor tasks. Older adults were progressively more variable in their performance outcome, but there was no age-related difference in white noise in the motor output. Older adults had a greater frequency-dependent structure in their motor variability that was associated with performance decrements. The findings challenge the main tenet of the neural noise hypothesis of aging in that the increased variability of older adults was due to a decreased ability to adapt to the constraints of the task rather than an increment of neural noise per se.

Acknowledgments

The study was supported in part by grants from the National Institute on Aging (T32-AG00048; 1 R03 AG023259). J.J.S. was supported by a Kligman Research Fellowship.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 372.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.