The DOI matches its Crossref record; 91 of the 92 references it cites were found in a registry or an index.
Physical Activity and Cardiorespiratory Fitness Are Beneficial for White Matter in Low-Fit Older Adults
Open accessAbstract
Physical activity (PA) and cardiorespiratory fitness (CRF) are associated with better cognitive function in late life, but the neural correlates for these relationships are unclear. To study these correlates, we examined the association of both PA and CRF with measures of white matter (WM) integrity in 88 healthy low-fit adults (age 60-78). Using accelerometry, we objectively measured sedentary behavior, light PA, and moderate to vigorous PA (MV-PA) over a week. We showed that greater MV-PA was related to lower volume of WM lesions. The association between PA and WM microstructural integrity (measured with diffusion tensor imaging) was region-specific: light PA was related to temporal WM, while sedentary behavior was associated with lower integrity in the parahippocampal WM. Our findings highlight that engaging in PA of various intensity in parallel with avoiding sedentariness are important in maintaining WM health in older age, supporting public health recommendations that emphasize the importance of active lifestyle.
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“Cardiorespiratory fitness and aerobic exercise have been positively associated with fronto-parietal and medial temporal lobe white matter tracts including the fornix, cingulum bundle and superior longitudinal fasciculus”
From Exercise Intervention in PTSD: A Narrative Review and Rationale for Implementation (2019) · cites this paper as [99]
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Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Nonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265
Exercise training increases size of hippocampus and improves memory
Erickson, K. I., Voss, M. W., Prakash, R. S., Basak, C., Szabo, A., Chaddock, L., Kim, J. S., Heo, S., Alves, H., White, S. M., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015950108 · Cited by 4,855
Self-citationThe basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825
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- MW Voss, 2013, The influence of aerobic fitness on cerebral white matter integrity and cognitive function in older adults: results of a one-year exercise intervention, Hum Brain Mapp, 34, 2972, 10.1002/hbm.22119 · DOI · Paper page
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Stillman, C. M., Cohen, J., Lehman, M. E., & Erickson, K. I. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00626 · Cited by 421
Exercise-Induced Neuroplasticity: A Mechanistic Model and Prospects for Promoting Plasticity
El‐Sayes, J., Harasym, D., Turco, C. V., Locke, M. B., & Nelson, A. J. (2018) · The Neuroscientist · doi:10.1177/1073858418771538 · Cited by 335
Sexton, C. E., Betts, J. F., Demnitz, N., Dawes, H., Ebmeier, K. P., & Johansen‐Berg, H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.071 · Cited by 278
Metadata
- Authors
- Burzynska, A. Z., Chaddock-Heyman, L., Voss, M. W., Wong, C. N., Gothe, N. P., Olson, E. A., Knecht, A., Lewis, A., Monti, J. M., Cooke, G. E., Wojcicki, T. R., Fanning, J., Chung, H. D., Awick, E., McAuley, E., & Kramer, A. F.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of Iowa (US)
- Corresponding author
- Burzynska, Agnieszka Zofia
- Voss, Michelle W.
- Wong, Chelsea N.
- Gothe, Neha P.
- Olson, Erin A.
- Knecht, Anya
- Lewis, Andrew
- Monti, Jim M.
- Cooke, Gillian E.
- Fanning, Jason
- Chung, Hyondo David
- Awick, Elisabeth
- McAuley, Edward
- Kramer, Arthur F.
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-09-17
- Volume
- 9
- Issue
- 9
- Pages
- e107413
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4167864
- OpenAlex
- W2074572113
- Cited by
- 161
- References
- 92
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 12 · 2023: 15 · 2022: 10 · 2021: 18 · 2020: 18 · 2019: 20 · 2018: 10 · 2017: 14 · 2016: 12 · 2015: 19 · 2014: 1
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Robert Bosch Stiftung
- University of Illinois at Urbana-Champaign
- National Institute on Aging (AG025667, R37AG025667)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- physical activity, cardiorespiratory fitness, white matter integrity, older adults, sedentary behavior, moderate-to-vigorous physical activity, white matter lesions, diffusion tensor imaging
- MeSH terms
- Age Factors, Aged, Cognition, Female, Humans, Life Style, Male, Middle Aged, Motor Activity, Physical Fitness, Sex Factors, Diffusion Tensor Imaging, Sedentary Behavior, White Matter
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