Automated video analysis of age-related motor deficits in monkeys using EthoVision

Ashley Walton; Amy Branham; Don M. Gash; Richard Grondin

doi:10.1016/j.neurobiolaging.2005.08.003

Automated video analysis of age-related motor deficits in monkeys using EthoVision

Ashley Walton
, Amy Branham
, Don M. Gash
, Richard Grondin

Neuroscience

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

Previous studies comparing age-related changes in locomotor function in nonhuman primates have generally relied on subjective human observations or rudimentary infrared motion sensors. Here, we used the automated video-tracking system EthoVision to objectively quantify locomotor activity in 6 young, 6 middle-aged and 12 aged female rhesus monkeys. The video records were analyzed for distance traveled, movement speed and vertical activity. Our results showed that the young monkeys (4.9 ± 0.1 years old) traveled twice the distance and moved 48% faster than the middle-aged monkeys (15.7 ± 0.5 years old), and traveled thrice the distance and moved 67% faster than the aged monkeys (26.3 ± 0.9 years old). In addition, young monkeys were vertically more active (20/60 min) than both the middle-aged (7/60 min) and the aged (1/60 min) monkeys. Furthermore, the locomotor performance of the individual animals significantly correlated with increasing age for all three measures. We conclude that EthoVision is a reliable and objective tracking method for detecting age-related differences in locomotor movements in rhesus macaques, and possibly in humans.

Original language	English
Pages (from-to)	1477-1483
Number of pages	7
Journal	Neurobiology of Aging
Volume	27
Issue number	10
DOIs	https://doi.org/10.1016/j.neurobiolaging.2005.08.003
State	Published - Oct 2006

Bibliographical note

Funding Information:
The authors declare having no consulting or other financial arrangements with Noldus Information Technology, the company that produces and markets the automated video-tracking system EthoVision used in the present study. This work was supported by NIH Grant AG13494.

Funding

The authors declare having no consulting or other financial arrangements with Noldus Information Technology, the company that produces and markets the automated video-tracking system EthoVision used in the present study. This work was supported by NIH Grant AG13494.

Funders	Funder number
National Institutes of Health (NIH)
National Institute on Aging	P01AG013494
National Institute on Aging

Keywords

Aging
Motor functions
Nonhuman primates
Rhesus
Video-tracking

ASJC Scopus subject areas

General Neuroscience
Aging
Clinical Neurology
Developmental Biology
Geriatrics and Gerontology

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10.1016/j.neurobiolaging.2005.08.003

Cite this

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title = "Automated video analysis of age-related motor deficits in monkeys using EthoVision",

abstract = "Previous studies comparing age-related changes in locomotor function in nonhuman primates have generally relied on subjective human observations or rudimentary infrared motion sensors. Here, we used the automated video-tracking system EthoVision to objectively quantify locomotor activity in 6 young, 6 middle-aged and 12 aged female rhesus monkeys. The video records were analyzed for distance traveled, movement speed and vertical activity. Our results showed that the young monkeys (4.9 ± 0.1 years old) traveled twice the distance and moved 48\% faster than the middle-aged monkeys (15.7 ± 0.5 years old), and traveled thrice the distance and moved 67\% faster than the aged monkeys (26.3 ± 0.9 years old). In addition, young monkeys were vertically more active (20/60 min) than both the middle-aged (7/60 min) and the aged (1/60 min) monkeys. Furthermore, the locomotor performance of the individual animals significantly correlated with increasing age for all three measures. We conclude that EthoVision is a reliable and objective tracking method for detecting age-related differences in locomotor movements in rhesus macaques, and possibly in humans.",

keywords = "Aging, Motor functions, Nonhuman primates, Rhesus, Video-tracking",

author = "Ashley Walton and Amy Branham and Gash, \{Don M.\} and Richard Grondin",

note = "Funding Information: The authors declare having no consulting or other financial arrangements with Noldus Information Technology, the company that produces and markets the automated video-tracking system EthoVision used in the present study. This work was supported by NIH Grant AG13494.",

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AU - Branham, Amy

AU - Gash, Don M.

AU - Grondin, Richard

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N2 - Previous studies comparing age-related changes in locomotor function in nonhuman primates have generally relied on subjective human observations or rudimentary infrared motion sensors. Here, we used the automated video-tracking system EthoVision to objectively quantify locomotor activity in 6 young, 6 middle-aged and 12 aged female rhesus monkeys. The video records were analyzed for distance traveled, movement speed and vertical activity. Our results showed that the young monkeys (4.9 ± 0.1 years old) traveled twice the distance and moved 48% faster than the middle-aged monkeys (15.7 ± 0.5 years old), and traveled thrice the distance and moved 67% faster than the aged monkeys (26.3 ± 0.9 years old). In addition, young monkeys were vertically more active (20/60 min) than both the middle-aged (7/60 min) and the aged (1/60 min) monkeys. Furthermore, the locomotor performance of the individual animals significantly correlated with increasing age for all three measures. We conclude that EthoVision is a reliable and objective tracking method for detecting age-related differences in locomotor movements in rhesus macaques, and possibly in humans.

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Automated video analysis of age-related motor deficits in monkeys using EthoVision

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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