The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Cognitive function, physical activity, and aging: Possible biological links and implications for multimodal interventions
Abstract
Increasing evidence shows the positive effect of physical activity (PA) on maintaining cognitive function. Both processes seem intrinsically linked to each other. The most likely mechanism is a reciprocal stimulation of neuroplasticity. Based on extensive experimental work on animals and humans, the concept of an enriched environment, including PA and challenging cognitive tasks, has provided the basis to systematically assess possible interventions for successful aging. I will use recent findings on brain mechanisms associated with PA and its effects on higher cognitive function at a systems and molecular level to demonstrate the need to design effective interventions. Such interventions should be designed to take advantage of the presumed compensatory mechanisms of elderly individuals, thereby limiting functional decline in higher cognitive performance in aging people. My review of the most recent relevant publications concerning this topic supports the notion that it is a promising approach to provide cognitive training and PA in conjunction, since the combination may generate synergistic beneficial changes than either one individually. Multimodal training programs should therefore be tested. However, at present there is insufficient evidence to conclude that multimodal interventions are superior to isolated cognitive or physical exercise interventions, since major studies addressing this topic are lacking. These studies are needed to conclusively prove that both strategies will positively interact when used in combined interventions. Finally the use of modern technology for these interventions will be discussed.
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Cites
Exercise and Physical Activity for Older Adults
Chodzko-Zajko, W. J., Proctor, D. N., Fiatarone Singh, M. A., Minson, C. T., Nigg, C. R., Salem, G. J., & Skinner, J. S. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181a0c95c · Cited by 5,153
Running increases cell proliferation and neurogenesis in the adult mouse dentate gyrus
van Praag, H., Kempermann, G., & Gage, F. H. (1999) · Nature Neuroscience · doi:10.1038/6368 · Cited by 3,880
The adaptive brain: aging and neurocognitive scaffolding
Park, D. C., & Reuter-Lorenz, P. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093656 · Cited by 2,790
Aerobic Exercise Training Increases Brain Volume in Aging Humans
Colcombe, S. J., Erickson, K. I., Scalf, P. E., Kim, J. S., Prakash, R., McAuley, E., Elavsky, S., Marquez, D. X., Hu, L., & Kramer, A. F. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.11.1166 · Cited by 2,134
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851
Preventing Falls in Elderly Persons
Tinetti, M. E. (2003) · New England Journal of Medicine · doi:10.1056/nejmcp020719 · Cited by 1,660
Black, J. E., Isaacs, K. R., Anderson, B. J., Alcantara, A. A., & Greenough, W. T. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.14.5568 · Cited by 1,161
Angevaren, M., Aufdemkampe, G., Verhaar, H., Aleman, A., & Vanhees, L. (2008) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005381.pub3 · Cited by 1,130
Can training in a real-time strategy video game attenuate cognitive decline in older adults?
Basak, C., Boot, W. R., Voss, M. W., & Kramer, A. F. (2008) · Psychology and Aging · doi:10.1037/a0013494 · Cited by 855
Engvig, A., Fjell, A. M., Westlye, L. T., Moberget, T., Sundseth, Ø., Larsen, V. A., & Walhovd, K. B. (2012) · Human Brain Mapping · doi:10.1002/hbm.21370 · Cited by 250
Dissociations between procedural and episodic memory: Effects of time and aging.
Mitchell, D. B., Brown, A. S., & Murphy, D. R. (1990) · Psychology and Aging · doi:10.1037/0882-7974.5.2.264 · Cited by 124 · cited 1×
“Procedural memory is relatively well preserved in aging ( Mitchell, Brown, & Murphy, 1990 ).”
BackgroundHu, S., Ying, Z., Gomez-Pinilla, F., & Frautschy, S. A. (2009) · Brain Research · doi:10.1016/j.brainres.2008.10.054 · Cited by 79
Cited by
Cao, W., Cao, X., Hou, C., Li, T., Cheng, Y., Jiang, L., Luo, C., Li, C., & Yao, D. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00070 · Cited by 136
Intervention-induced enhancement in intrinsic brain activity in healthy older adults
Yin, S., Zhu, X., Li, R., Niu, Y., Wang, B., Zheng, Z., Huang, X., Huo, L., & Li, J. (2014) · Scientific Reports · doi:10.1038/srep07309 · Cited by 57
Metadata
- Authors
- Kraft, E.
- Venue
- Aging, Neuropsychology, and Cognition
- Publisher
- Informa UK Limited
- Published
- 2012-01
- Volume
- 19
- Issue
- 1-2
- Pages
- 248-263
- ISSN
- 0928-9917 (ISSN-L)
- 1382-5585
- 1744-4128
- OpenAlex
- W2030939266
- Cited by
- 182
- References
- 13
- FWCI
- 8.68
- 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.