The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The relationship of age and cardiovascular fitness to cognitive and motor processes
Abstract
Older and younger aerobically trained and sedentary adults participated in an S1‐S2‐S3 paradigm designed to elicit event‐related potential (ERP) and behavioral responses to determine the influence of cardiovascular fitness on cognitive and motor processes. The paradigm provided warning (S1) as to the difficulty level of an upcoming decision task (S2). Participants had to decide the taller of two bars on presentation of S2 but hold their response until S3, to which they indicated their choice motorically. Results revealed age‐related differences for ERP measures as older participants showed increased amplitude of the stimulus preceding negativity (SPN) prior to S2, and longer latencies and equipotentiality of P3 in response to S2. Fitness effects were also observed for the contingent negative variation (CNV) with decreased amplitude for fit relative to sedentary individuals. Age interacted with fitness for P3 latency to S2 as older sedentary individuals showed the longest latency followed by older fit and both younger groups. No significant group differences were observed for reaction time (RT) to S3. Therefore, physical fitness is associated with attenuation of cognitive decline in older individuals and greater economy of motor preparation for both young and older participants.
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Cites
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Running enhances neurogenesis, learning, and long-term potentiation in mice
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The influence of physical fitness and exercise upon cognitive functioning: a meta-analysis
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Long-term Effects of Exercise on Psychological Functioning in Older Men and Women
Blumenthal, J. A., Emery, C. F., Madden, D. J., Schniebolk, S., Walsh-riddle, M., George, L. K., McKee, D. C., Higginbotham, M. B., Cobb, F. R., & Coleman, R. E. (1991) · Journal of Gerontology · doi:10.1093/geronj/46.6.p352 · Cited by 241
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Be smart, exercise your heart: Exercise effects on brain and cognition
Hillman, C. H., Erickson, K. I., & Kramer, A. F. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2298 · Cited by 3,563
Self-citationPaterson, D. H., & Warburton, D. E. (2010) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-7-38 · Cited by 953
Dishman, R. K., Berthoud, H., Booth, F. W., Cotman, C. W., Edgerton, V. R., Fleshner, M. R., Gandevia, S. C., Gomez‐Pinilla, F., Greenwood, B. N., Hillman, C. H., et al. (2006) · Obesity · doi:10.1038/oby.2006.46 · Cited by 958
Self-citationBherer, L., Erickson, K. I., & Liu-Ambrose, T. (2013) · Journal of Aging Research · doi:10.1155/2013/657508 · Cited by 899
A meta-regression to examine the relationship between aerobic fitness and cognitive performance
Etnier, J. L., Nowell, P. M., Landers, D. M., & Sibley, B. A. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.01.002 · Cited by 749
Metadata
- Authors
- Hillman, C. H., Weiss, E. P., Hagberg, J. M., & Hatfield, B. D.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2002-05
- Volume
- 39
- Issue
- 3
- Pages
- 303-312
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2155265198
- Cited by
- 163
- References
- 6
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.