Title |
Age-Related Changes in Processing Speed: Unique Contributions of Cerebellar and Prefrontal Cortex
|
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Published in |
Frontiers in Human Neuroscience, January 2010
|
DOI | 10.3389/neuro.09.010.2010 |
Pubmed ID | |
Authors |
Mark A. Eckert, Noam I. Keren, Donna R. Roberts, Vince D. Calhoun, Kelly C. Harris |
Abstract |
Age-related declines in processing speed are hypothesized to underlie the widespread changes in cognition experienced by older adults. We used a structural covariance approach to identify putative neural networks that underlie age-related structural changes associated with processing speed for 42 adults ranging in age from 19 to 79 years. To characterize a potential mechanism by which age-related gray matter changes lead to slower processing speed, we examined the extent to which cerebral small vessel disease influenced the association between age-related gray matter changes and processing speed. A frontal pattern of gray matter and white matter variation that was related to cerebral small vessel disease, as well as a cerebellar pattern of gray matter and white matter variation were uniquely related to age-related declines in processing speed. These results demonstrate that at least two distinct factors affect age-related changes in processing speed, which might be slowed by mitigating cerebral small vessel disease and factors affecting declines in cerebellar morphology. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 3% |
United Kingdom | 2 | <1% |
France | 2 | <1% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
Austria | 1 | <1% |
Unknown | 208 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 52 | 24% |
Researcher | 41 | 19% |
Student > Master | 27 | 12% |
Student > Bachelor | 19 | 9% |
Student > Postgraduate | 12 | 5% |
Other | 33 | 15% |
Unknown | 37 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 80 | 36% |
Neuroscience | 32 | 14% |
Medicine and Dentistry | 24 | 11% |
Engineering | 11 | 5% |
Agricultural and Biological Sciences | 8 | 4% |
Other | 21 | 10% |
Unknown | 45 | 20% |