| Title |
The effect of proprioceptive acuity variability on motor adaptation in older adults
|
|---|---|
| Published in |
Experimental Brain Research, December 2017
|
| DOI | 10.1007/s00221-017-5150-x |
| Pubmed ID | |
| Authors |
Yuming Lei, Jinsung Wang |
| Abstract |
Motor adaptation requires efficient integration of sensory information with predicted sensory consequences of one's own action. However, the effect of reduced sensory acuity on motor adaptation in humans remains to be further investigated. Here, we examined the variability of proprioceptive acuity during an arm-position matching task and the pattern of visuomotor adaptation in older and young adults, and determined the relationship between the two variables. The older adults, a known example of impaired proprioceptive acuity, exhibited greater trial-to-trial variability during the arm-position matching task as compared with the young adults. Furthermore, the older adults showed a slower rate of adaptation to a 30° visuomotor rotation during targeted reaching movements, as well as larger movement errors in the later phase of adaptation, than the young adults. Our correlation analyses indicated a negative association between the variability in proprioceptive acuity and the rate of visuomotor adaptation in the older adults; and no association was observed in the young adults. These findings point to a possibility that an increase in the variability of proprioceptive acuity due to aging may weaken the integration of predicted and actual sensory feedback, which in turn may result in poor visuomotor adaptation in older adults. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Researcher | 10 | 15% |
| Student > Master | 8 | 12% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 6 | 9% |
| Other | 8 | 12% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 20 | 30% |
| Sports and Recreations | 6 | 9% |
| Medicine and Dentistry | 5 | 8% |
| Nursing and Health Professions | 4 | 6% |
| Psychology | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 17 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2018.
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#17,923,510
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Outputs from Experimental Brain Research
#2,398
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Outputs of similar age from Experimental Brain Research
#33
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