The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Systems Neuroplasticity in the Aging Brain: Recruiting Additional Neural Resources for Successful Motor Performance in Elderly Persons
Open accessAbstract
Functional imaging studies have shown that seniors exhibit more elaborate brain activation than younger controls while performing motor tasks. Here, we investigated whether this age-related overactivation reflects compensation or dedifferentiation mechanisms. “Compensation” refers to additional activation that counteracts age-related decline of brain function and supports successful performance, whereas “dedifferentiation” reflects age-related difficulties in recruiting specialized neural mechanisms and is not relevant to task performance. To test these predictions, performance on a complex interlimb coordination task was correlated with brain activation. Findings revealed that coordination resulted in activation of classical motor coordination regions, but also higher-level sensorimotor regions, and frontal regions in the elderly. Interestingly, a positive correlation between activation level in these latter regions and motor performance was observed in the elderly. This performance enhancing additional recruitment is consistent with the compensation hypothesis and characterizes neuroplasticity at the systems level in the aging brain.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Cortical mechanisms of human imitation
Iacoboni, M., Woods, R. P., Brass, M., Bekkering, H., Mazziotta, J. C., & Rizzolatti, G. (1999) · Science · doi:10.1126/science.286.5449.2526 · Cited by 2,683
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
Petrides, M., & Pandya, D. N. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00518.x · Cited by 1,068 · cited 2×
“…information from the occipital, temporal, and parietal cortices (Goldman-Rakic and Schwartz, 1982; Barbas and Pandya, 1989; Seltzer and Pandya, 1989; Pandya and Yeterian, 1990; Petrides and Pandya, 1999) and has preferential connections with the motor system structures (Miller and Cohen, 2001).”
BackgroundAge differences in the frontal lateralization of verbal and spatial working memory revealed by PET
Reuter-Lorenz, P. A., Jonides, J., Smith, E. E., Hartley, A., Miller, A., Marshuetz, C., & Koeppe, R. A. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900561814 · Cited by 998
Calautti, C., Serrati, C., & Baron, J.-C. (2001) · Stroke · doi:10.1161/01.str.32.1.139 · Cited by 164
Research works printed but not linked: 53
- 10.1016/0304-3940(82)90098-2 · DOI
- Baldissera, 1991, Differential control of in-phase and anti-phase coupling of rhythmic movements of ipsilateral hand and foot, Exp Brain Res, 83, 375, 10.1007/BF00231161 · DOI
- 10.1016/S0165-0173(03)00172-3 · DOI · Paper page
- 10.1002/cne.902860306 · DOI · Paper page
- 10.1002/1097-0193(200012)11:4<273::AID-HBM40>3.0.CO;2-0 · DOI · Paper page
- 10.1097/00001756-200108080-00039 · DOI
- 10.1006/nimg.2002.1280 · DOI · Paper page
- Carson, 1995, Phase transitions and critical fluctuations in rhythmic coordination of ipsilateral hand and foot, J Mot Behav, 27, 211, 10.1080/00222895.1995.9941711 · DOI
- 10.1006/nimg.2001.0892 · DOI · Paper page
- 10.1016/j.neuroimage.2003.12.011 · DOI
- 10.1097/00001756-200107030-00054 · DOI
- 10.1046/j.1460-9568.2000.00209.x · DOI
- 10.1006/nimg.1995.1007 · DOI · Paper page
- 10.1007/s004290000127 · DOI · Paper page
- 10.1126/science.6177037 · DOI · Paper page
- 10.1037/0882-7974.17.1.3 · DOI
- Grady, 2003, Evidence from functional neuroimaging of a compensatory prefrontal network in Alzheimer's disease, J Neurosci, 23, 986, 10.1523/JNEUROSCI.23-03-00986.2003 · DOI · Paper page
- 10.1080/026432998381023 · DOI · Paper page
- 10.1097/00001756-200403220-00005 · DOI
- Heuninckx, 2004, Ipsilateral coordination deficits and central processing requirements associated with coordination as a function of aging, J Gerontol B Psychol Sci Soc Sci, 59, 225, 10.1093/geronb/59.5.P225 · DOI
- 10.1523/JNEUROSCI.1263-05.2005 · DOI · Paper page
- Ivry, 1997, Cerebellar timing systems, Int Rev Neurobiol, 41, 555, 10.1016/S0074-7742(08)60370-0 · DOI · Paper page
- 10.1006/nimg.1996.0249 · DOI
- 10.1037/0096-1523.18.3.645 · DOI
- 10.1016/j.neuropsychologia.2004.03.001 · DOI · Paper page
- 10.1002/cne.903410308 · DOI · Paper page
- 10.1007/s002210050683 · DOI · Paper page
- 10.1002/(SICI)1097-0193(1999)7:2<115::AID-HBM5>3.0.CO;2-N · doi:10.1002/(sici)1097-0193(1999)7:2<115::aid-hbm5>3.0.co;2-n
- 10.1093/cercor/bhg113 · DOI
- Mattay, 2002, Neurophysiological correlates of age-related changes in human motor function, Neurology, 58, 630, 10.1212/WNL.58.4.630 · DOI · Paper page
- 10.1146/annurev.neuro.24.1.167 · DOI · Paper page
- 10.1093/brain/122.10.1989 · DOI · Paper page
- 10.1093/cercor/bhh199 · DOI · Paper page
- 10.1016/j.neuroimage.2004.12.005 · DOI · Paper page
- Pandya, 1990, Prefrontal cortex in relation to other cortical areas in rhesus monkey: architecture and connections, Prog Brain Res, 85, 63, 10.1016/S0079-6123(08)62676-X · DOI · Paper page
- 10.1016/S0959-4388(01)00266-5 · DOI · Paper page
- 10.1093/brain/120.2.229 · DOI · Paper page
- 10.1016/j.conb.2005.03.016 · DOI · Paper page
- Reuter-Lorenz PA Mikels J (2006) in Lifespan development and the brain: the perspective of biocultural co-constructivism, The aging brain: implications of enduring plasticity for behavioral and cultural change, eds Baltes P Reuter-Lorenz P Roesler F (Cambridge UP, Cambridge, UK), p 255. · DOI
- 10.1016/j.neuroimage.2005.05.059 · DOI
- 10.1097/00001756-200212200-00010 · DOI
- 10.1016/S1053-8119(03)00074-0 · DOI
- 10.1002/cne.902900402 · DOI
- Serrien, 2000, Age-related deterioration of coordinated interlimb behavior, J Gerontol B Psychol Sci Soc Sci, 55B, 295, 10.1093/geronb/55.5.P295 · DOI
- Swinnen, 1995, Relative phase destabilization during interlimb coordination: the disruptive role of kinesthetic afferences induced by passive movement, Exp Brain Res, 105, 439
- Talairach J Tournoux P (1988) Co-planar stereotaxic atlas of the human brain (Thieme, New York).
- 10.1196/annals.1284.044 · DOI
- 10.1016/S1053-8119(02)00055-1 · DOI
- 10.1093/brain/awg071 · DOI · Paper page
- 10.1093/cercor/bhh075 · DOI
- Wenderoth N Debaere F Swinnen SP (2004b) in Neuro-behavioral determinants of interlimb coordination: a multidisciplinary approach, Neural networks involved in cyclical interlimb coordination as revealed by medical imaging techniques, eds Swinnen SP Duysens J (Kluwer Academic, Boston), pp 127–222. · DOI
- 10.1111/j.1460-9568.2005.04176.x · DOI · Paper page
- 10.1016/j.neuroimage.2005.11.033 · DOI
Cited by
Goble, D. J., Coxon, J. P., Wenderoth, N., Van Impe, A., & Swinnen, S. P. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.08.012 · Cited by 426
Self-citationEnvironment and Brain Plasticity: Towards an Endogenous Pharmacotherapy
Sale, A., Berardi, N., & Maffei, L. (2014) · Physiological Reviews · doi:10.1152/physrev.00036.2012 · Cited by 402
Goble, D. J., Coxon, J. P., Van Impe, A., De Vos, J., Wenderoth, N., & Swinnen, S. P. (2010) · Human Brain Mapping · doi:10.1002/hbm.20943 · Cited by 164
Self-citationDecoding lifespan changes of the human brain using resting-state functional connectivity MRI
Wang, L., Su, L., Shen, H., & Hu, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044530 · Cited by 115
Horr, T., Messinger-Rapport, B., & Pillai, J. A. (2015) · The Journal of nutrition, health and aging · doi:10.1007/s12603-014-0565-6 · Cited by 67
Age-related increases in reaction time result from slower preparation, not delayed initiation
Hardwick, R. M., Forrence, A. D., Costello, M. G., Zackowski, K., & Haith, A. M. (2022) · Journal of Neurophysiology · doi:10.1152/jn.00072.2022 · Cited by 66
Norman, L. J., Dodsworth, C., Foresteire, D., & Thaler, L. (2021) · PLOS ONE · doi:10.1371/journal.pone.0252330 · Cited by 59
“Whilst the older human brain might nonetheless adapt to new challenges, the neuroplastic processes involved may differ between older and younger people [33,34].”
BackgroundEmerging therapies for gait disability and balance impairment: Promises and pitfalls
Maetzler, W., Nieuwhof, F., Hasmann, S. E., & Bloem, B. R. (2013) · Movement Disorders · doi:10.1002/mds.25682 · Cited by 57
Age-related differences in human corticospinal excitability during simple reaction time.
Levin, O., Cuypers, K., Netz, Y., Thijs, H., Nuttin, B., Helsen, W. F., & Meesen, R. L. J. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2010.09.072 · Cited by 33
Sorrentino, G., Franza, M., Zuber, C., Blanke, O., Serino, A., & Bassolino, M. (2021) · Cortex · doi:10.1016/j.cortex.2020.11.021 · Cited by 29
Linnet, E., & Roser, M. E. (2012) · Psychology and Aging · doi:10.1037/a0024905 · Cited by 14
Metadata
- Authors
- Heuninckx, S., Wenderoth, N., & Swinnen, S. P.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2008-01-02
- Volume
- 28
- Issue
- 1
- Pages
- 91-99
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2059976173
- Cited by
- 532
- References
- 9
- FWCI
- 12.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.