| Title |
Associations among executive function, cardiorespiratory fitness, and brain network properties in older adults
|
|---|---|
| Published in |
Scientific Reports, January 2017
|
| DOI | 10.1038/srep40107 |
| Pubmed ID | |
| Authors |
Toshikazu Kawagoe, Keiichi Onoda, Shuhei Yamaguchi |
| Abstract |
Aging is associated with deterioration in a number of cognitive functions. Previous reports have demonstrated the beneficial effect of physical fitness on cognitive function, especially executive function (EF). The graph theoretical approach models the brain as a complex network represented graphically as nodes and edges. We analyzed several measures of EF, an index of physical fitness, and resting-state functional magnetic resonance imaging data from healthy older volunteers to elucidate the associations among EF, cardiorespiratory fitness, and brain network properties. The topological neural properties were significantly related to the level of EF and/or physical fitness. Global efficiency, which represents how well the whole brain is integrated, was positively related, whereas local efficiency, which represents how well the brain is functionally segregated, was negatively related, to the level of EF and fitness. The associations among EF, physical fitness and topological resting-state functional network property appear related to compensation and dedifferentiation in older age. A mediation analysis showed that high-fit older adults gain higher global efficiency of the brain at the expense of lower local efficiency. The results suggest that physical fitness may be beneficial in maintaining EF in healthy aging by enhancing the efficiency of the global brain network. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 96 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 16 | 16% |
| Student > Bachelor | 9 | 9% |
| Researcher | 7 | 7% |
| Other | 6 | 6% |
| Other | 16 | 16% |
| Unknown | 27 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 19% |
| Neuroscience | 14 | 14% |
| Sports and Recreations | 10 | 10% |
| Medicine and Dentistry | 7 | 7% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 33 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 July 2017.
All research outputs
#13,277,312
of 22,925,760 outputs
Outputs from Scientific Reports
#58,794
of 123,840 outputs
Outputs of similar age
#206,311
of 420,807 outputs
Outputs of similar age from Scientific Reports
#1,909
of 3,829 outputs
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