The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Motor control and aging: Links to age-related brain structural, functional, and biochemical effects
Open accessAbstract
Although connections between cognitive deficits and age-associated brain differences have been elucidated, relationships with motor performance are less well understood. Here, we broadly review age-related brain differences and motor deficits in older adults in addition to cognition-action theories. Age-related atrophy of the motor cortical regions and corpus callosum may precipitate or coincide with motor declines such as balance and gait deficits, coordination deficits, and movement slowing. Correspondingly, degeneration of neurotransmitter systems—primarily the dopaminergic system—may contribute to age-related gross and fine motor declines, as well as to higher cognitive deficits. In general, older adults exhibit involvement of more widespread brain regions for motor control than young adults, particularly the prefrontal cortex and basal ganglia networks. Unfortunately these same regions are the most vulnerable to age-related effects, resulting in an imbalance of “supply and demand”. Existing exercise, pharmaceutical, and motor training interventions may ameliorate motor deficits in older adults.
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The cholinergic hypothesis of geriatric memory dysfunction
Bartus, R. T., Dean, R. L., Beer, B., & Lippa, A. S. (1982) · Science · doi:10.1126/science.7046051 · Cited by 5,545
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
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
Changes in grey matter induced by training
Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004) · Nature · doi:10.1038/427311a · Cited by 2,373
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328
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
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658
Cardiovascular fitness, cortical plasticity, and aging
Colcombe, S. J., Kramer, A. F., Erickson, K. I., Scalf, P., McAuley, E., Cohen, N. J., Webb, A., Jerome, G. J., Marquez, D. X., & Elavsky, S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400266101 · Cited by 1,648
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Fragala, M. S., Cadore, E. L., Dorgo, S., Izquierdo, M., Kraemer, W. J., Peterson, M. D., & Ryan, E. D. (2019) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000003230 · Cited by 1,290
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Lee, J. K., Koppelmans, V., Riascos, R. F., Hasan, K. M., Pasternak, O., Mulavara, A. P., Bloomberg, J. J., & Seidler, R. D. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2018.4882 · Cited by 149
Self-citation
Metadata
- Authors
- Seidler, R. D., Bernard, J. A., Burutolu, T. B., Fling, B. W., Gordon, M. T., Gwin, J. T., Kwak, Y., & Lipps, D. B.
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 34
- Issue
- 5
- Pages
- 721-733
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W2136406126
- Cited by
- 1,791
- References
- 17
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- green
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