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Effects of task and age on the magnitude and structure of force fluctuations: insights into underlying neuro-behavioral processes
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  • 作者:Solveig Vieluf ; Jean-Jacques Temprado ; Eric Berton ; Viktor K Jirsa…
  • 关键词:Aging ; Variability ; Signal ; to ; noise ratio ; Complexity ; Multi ; scale entropy ; Frequency analysis
  • 刊名:BMC Neuroscience
  • 出版年:2015
  • 出版时间:December 2015
  • 年:2015
  • 卷:16
  • 期:1
  • 全文大小:1,567 KB
  • 参考文献:1. Hultsch, DF, MacDonald, S Intraindividual variability in performance as a theoretical window onto cognitive aging. In: Dixon, RA, B?ckman, L, Nilsson, LG eds. (2004) New Frontiers in Cognitive Aging. Oxford University Press, Oxford, UK, pp. 65-88 CrossRef
    2. Sosnoff, JJ, Newell, KM (2011) Aging and motor variability: a test of the neural noise hypothesis. Exp Aging Res 37: pp. 377-97 CrossRef
    3. Crossman, ER, Szafran, J (1956) Changes with age in the speed of information-intake and discrimination. Experientia Suppl. IV. Symposium in Exp Gerontol 4: pp. 128-35
    4. Kail, R (1997) The neural noise hypothesis: Evidence from processing speed in adults with multiple sclerosis. Aging Neuropsychol 4: pp. 157-65 CrossRef
    5. Welford, AT (1981) Signal, noise, performance, and age. Hum Factors 23: pp. 97-109
    6. Temprado, J, Sleimen-Malkoun, R, Lemaire, P, Rey-Robert, B, Retornaz, F, Berton, E (2013) Aging of sensorimotor processes: a systematic study in Fitts-task. Exp Brain Res 228: pp. 105-16 CrossRef
    7. Pincus, S (1995) Approximate entropy (ApEn) as a complexity measure. Chaos 5: pp. 110-7 CrossRef
    8. Newell, KM, Vaillancourt, DE, Sosnoff, JJ Aging, complexity, and motor performance. In: Birren, JE, Schaie, KW eds. (2006) Handbook of the psychology of aging. Elsevier, Oxford, UK, pp. 163-82 CrossRef
    9. Benoit, R, Temprado, J, Berton, E (2011) Aging and changes in complexity in the neurobehavioral system. Medicina (Kaunas) 47: pp. 1-10
    10. Vaillancourt, DE, Newell, KM (2002) Changing complexity in human behavior and physiology through aging and disease. Neurobiol Aging 23: pp. 1-11 CrossRef
    11. Costa, M, Goldberger, AL, Peng, C (2005) Multiscale entropy analysis of biological signals. Physical Review E 71: pp. 021906 CrossRef
    12. Faisal, AA, Selen, LP, Wolpert, DM (2008) Noise in the nervous system. Nat Rev Neurosci 9: pp. 292-303 CrossRef
    13. Lipsitz, LA, Goldberger, AL (1992) Loss of’complexity’and aging: potential applications of fractals and chaos theory to senescence. JAMA 267: pp. 1806-9 CrossRef
    14. Slifkin, AB, Newell, KM (1998) Is variability in human performance a reflection of system noise?. Curr Dir Psychol Sci 7: pp. 170-7 CrossRef
    15. Slifkin, AB, Newell, KM (1999) Noise, information transmission, and force variability. J Exp Psychol Human 25: pp. 837-51 CrossRef
    16. Torre, K, Balasubramaniam, R, Delignières, D (2010) Oscillating in synchrony with a metronome: serial dependence, limit cycle dynamics, and modeling. Motor Control 14: pp. 323-43
    17. Newell, KM, Vernon McDonald, P (1994) Information, coordination modes and control in a prehensile force task. Hum Movement Sci 13: pp. 375-91 CrossRef
    18. Ranganathan, VK, Siemionow, V, Sahgal, V, Yue, GH (2001) Effects of aging on hand function. J Am Geriatr Soc 49: pp. 1478-84 CrossRef
    19. Enoka, RM, Christou, EA, Hunter, SK, Kornatz, KW, Semmler, JG, Taylor, AM (2003) Mechanisms that contribute to differences in motor performance between young and old adults. J Electromyogr Kines 13: pp. 1-12 Cr
  • 刊物主题:Neurosciences; Neurobiology; Animal Models;
  • 出版者:BioMed Central
  • ISSN:1471-2202
文摘
Background The present study aimed at characterizing the effects of increasing (relative) force level and aging on isometric force control. To achieve this objective and to infer changes in the underlying control mechanisms, measures of information transmission, as well as magnitude and time-frequency structure of behavioral variability were applied to force-time-series. Results Older adults were found to be weaker, more variable, and less efficient than young participants. As a function of force level, efficiency followed an inverted-U shape in both groups, suggesting a similar organization of the force control system. The time-frequency structure of force output fluctuations was only significantly affected by task conditions. Specifically, a narrower spectral distribution with more long-range correlations and an inverted-U pattern of complexity changes were observed with increasing force level. Although not significant older participants displayed on average a less complex behavior for low and intermediate force levels. The changes in force signal’s regularity presented a strong dependence on time-scales, which significantly interacted with age and condition. An inverted-U profile was only observed for the time-scale relevant to the sensorimotor control process. However, in both groups the peak was not aligned with the optimum of efficiency. Conclusion Our results support the view that behavioral variability, in terms of magnitude and structure, has a functional meaning and affords non-invasive markers of the adaptations of the sensorimotor control system to various constraints. The measures of efficiency and variability ought to be considered as complementary since they convey specific information on the organization of control processes. The reported weak age effect on variability and complexity measures suggests that the behavioral expression of the loss of complexity hypothesis is not as straightforward as conventionally admitted. However, group differences did not completely vanish, which suggests that age differences can be more or less apparent depending on task properties and whether difficulty is scaled in relative or absolute terms.

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