Title |
Ageing increases reliance on sensorimotor prediction through structural and functional differences in frontostriatal circuits
|
---|---|
Published in |
Nature Communications, October 2016
|
DOI | 10.1038/ncomms13034 |
Pubmed ID | |
Authors |
Noham Wolpe, James N. Ingram, Kamen A. Tsvetanov, Linda Geerligs, Rogier A. Kievit, Richard N. Henson, Daniel M. Wolpert, James B. Rowe |
Abstract |
The control of voluntary movement changes markedly with age. A critical component of motor control is the integration of sensory information with predictions of the consequences of action, arising from internal models of movement. This leads to sensorimotor attenuation-a reduction in the perceived intensity of sensations from self-generated compared with external actions. Here we show that sensorimotor attenuation occurs in 98% of adults in a population-based cohort (n=325; 18-88 years; the Cambridge Centre for Ageing and Neuroscience). Importantly, attenuation increases with age, in proportion to reduced sensory sensitivity. This effect is associated with differences in the structure and functional connectivity of the pre-supplementary motor area (pre-SMA), assessed with magnetic resonance imaging. The results suggest that ageing alters the balance between the sensorium and predictive models, mediated by the pre-SMA and its connectivity in frontostriatal circuits. This shift may contribute to the motor and cognitive changes observed with age. |
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Geographical breakdown
Country | Count | As % |
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Spain | 2 | 7% |
Germany | 1 | 4% |
France | 1 | 4% |
Japan | 1 | 4% |
Canada | 1 | 4% |
Russia | 1 | 4% |
Netherlands | 1 | 4% |
Other | 0 | 0% |
Unknown | 10 | 36% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 17 | 61% |
Scientists | 8 | 29% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 183 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 38 | 21% |
Student > Ph. D. Student | 37 | 20% |
Student > Master | 24 | 13% |
Other | 12 | 6% |
Student > Bachelor | 10 | 5% |
Other | 33 | 18% |
Unknown | 31 | 17% |
Readers by discipline | Count | As % |
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Neuroscience | 46 | 25% |
Psychology | 37 | 20% |
Engineering | 15 | 8% |
Agricultural and Biological Sciences | 11 | 6% |
Medicine and Dentistry | 9 | 5% |
Other | 17 | 9% |
Unknown | 50 | 27% |