Advertisement

Advances in Gerontology

, Volume 9, Issue 3, pp 361–365 | Cite as

Motivational Inductors of Behavior as Reserves of Successful Aging

  • O. M. RazumnikovaEmail author
  • N. V. Asanova
Article
  • 1 Downloads

Abstract

Age-related characteristics of motivational inductors of behavior and internal control, which contribute to “successful” aging, are studied. University students and elderly women (20 ± 1.1 and 65.1 ± 5.8 years, respectively) are involved in the study. The dominance of cognitive activity in the profile of motivational inductors regardless of the age and time period of self-appraisal is established. Age differences are found for the “future” situation: increased importance of physical activity for the elderly and significantly greater importance of the “emotional state” components both in the present and in the future for young female students. However, the recognition of the priority of cognitive activity does not correspond to the practical implementation of the cognitive training program, presumably due to the age-related weakening of executive control in initiating new activities.

Keywords:

executive control of behavior age motivation cognitive reserves 

Notes

FUNDING

The work was financially supported by the Russian Foundation for Basic Research (project no. 17-06-00166, “Organization of inhibitory control in ontogeny: implications for learning and adaptations”).

COMPLIANCE WITH ETHICAL STANDARDS

Conflict of interests. The authors declare that they have no conflict of interest.

Statement of compliance with standards of research involving humans as subjects. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants involved in the study.

REFERENCES

  1. 1.
    Nikolaeva, E.I. and Vergunov, E.G., What are “executive functions” and their development in ontogenesis, Teor. Eksp. Psikhol., 2017, no. 2, pp. 62–81.Google Scholar
  2. 2.
    Nuttin, J., Motivation, Planning, and Action: A Relational Theory of Behavior Dynamics, Leuven: Leuven Univ. Press, 1984.Google Scholar
  3. 3.
    Razumnikova, O.M., Patterns of brain aging and activation of its compensatory resources, Usp. Fiziol. Nauk, 2015, vol. 46, no. 2, pp. 3–16.Google Scholar
  4. 4.
    Razumnikova, O.M., Prokhorova, L.V., and Yashanina, A.A., Age-related features of the relationship between intelligence and self-assessment of life quality, Usp. Gerontol., 2016, vol. 29, no. 2, pp. 353–359.Google Scholar
  5. 5.
    Acosta, L.M., Goodman, I.J., and Heilman, K.M., Unilateral perseveration, Cognit. Behav. Neurol., 2013, vol. 26, no. 4, pp. 181–188.CrossRefGoogle Scholar
  6. 6.
    Blanchard-Fields, F., Flexible and adaptive socio-emotional problem solving in adult development and aging, Restor. Neurol. Neurosci., 2009, vol. 27, pp. 539–550.Google Scholar
  7. 7.
    Brass, M. and Haggard, P., The what, when, whether model of intentional action, Neurosci. Rev. J. Bringing Neurobiol. Neurol. Psychiatry, 2008, vol. 14, no. 4, pp. 319–325.Google Scholar
  8. 8.
    Charles, S.T., Piazza, J.R., Mogle, J.A., et al., Age differences in emotional well-being vary by temporal recall, J. Gerontol., Ser. B, 2016, vol. 71, no. 5, pp. 798–807.Google Scholar
  9. 9.
    Crockett, M.J., Clark, L., Hauser, M.D., and Robbins, T.W., Serotonin selectively influences moral judgment and behavior through effects on harm aversion, Proc. Natl. Acad. Sci. U.S.A., 2010, vol. 107, no. 40, pp. 17433–17438.CrossRefGoogle Scholar
  10. 10.
    Díaz, E., Vargas, J.P., Quintero, E., et al., Differential implication of dorsolateral and dorsomedial srtiatum in encoding and recovery processes of latent inhibition, Neurobiol. Learn. Mem., 2014, vol. 111, pp. 19–25.Google Scholar
  11. 11.
    Filevich, E., Kühn, S., and Haggard, P., Intentional inhibition in human action: the power of ‘no’, Neurosci. Biobehav. Rev., 2012, vol. 36, pp. 1107–1118.CrossRefGoogle Scholar
  12. 12.
    Forstmann, B.U., Keuken, M.C., Jahfari, S., et al., Corticosubthalamic white matter tract strength predicts interindividual efficacy in stopping a motor response, NeuroImage, 2012, vol. 60, pp. 370–375.CrossRefGoogle Scholar
  13. 13.
    King, A.V., Linke, J., Gass, A., et al., Microstructure of a three-way anatomical network predicts individual differences in response inhibition: a tractography study, NeuroImage, 2012, vol. 59, pp. 1949–1959.CrossRefGoogle Scholar
  14. 14.
    Kühn, S., Haggard, P., and Brass, M., Intentional inhibition: how the veto-area exerts control, Hum. Brain Map., 2009, vol. 30, no. 9, pp. 2834–2843.Google Scholar
  15. 15.
    Laureiro-Martinez, D., Trujillo, C.A., and Unda, J., Time perspective and age: a review of age associated differences, Front. Psychol., 2017, vol. 8, art. ID 101.CrossRefGoogle Scholar
  16. 16.
    Luna, B., Padmanabhan, A., and O’Hearn, K., What has fMRI told us about the development of cognitive control through adolescence?, Brain Cognit., 2010, vol. 72, no. 1, pp. 101–113.CrossRefGoogle Scholar
  17. 17.
    Passingham, R.E., Bengtsson, S.L., and Lau, H.C., Medial frontal cortex: from self-generated action to reflection on one’s own performance, Trends Cognit. Sci., 2009, vol. 14, no. 1, pp. 16–21.CrossRefGoogle Scholar
  18. 18.
    Razumnikova, O., Savinykh, M., Suslov, R., and Petrov, R., A computerized cognitive test battery. Individual differences in cognitive characteristics: measuring and dynamic of training, Proc. 11th Int. Forum on Strategic Technology (IFOST), Novosibirsk, 2016, pp. 256–258.Google Scholar
  19. 19.
    Ripke, S., Hübner, T., Mennigen, E., et al., Reward processing and intertemporal decision making in adults and adolescents: the role of impulsivity and decision consistency, Brain Res., 2012, vol. 1478, pp. 36–47.CrossRefGoogle Scholar
  20. 20.
    Schel, M.A., Ridderinkhof, K.R., and Crone, E.A., Choosing not to act: neural bases of the development of intentional inhibition, Dev. Cognit. Neurosci., 2014, vol. 10, pp. 93–103.CrossRefGoogle Scholar
  21. 21.
    Scheres, A., De Water, E., and Mies, G.W., The neural correlates of temporal reward discounting, Wiley Interdiscip. Rev.: Cognit. Sci., 2013, vol. 4, no. 5, pp. 523–545.CrossRefGoogle Scholar
  22. 22.
    Shoraka, A.R., Otzel, D.M., Zilli, E.M., et al., Effects of aging on action-intentional programming, Aging, Neuropsychol., Cognit., 2018, vol. 25, no. 2, pp. 244–258.Google Scholar
  23. 23.
    Turner, G.R. and Spreng, R.N., Executive functions and neurocognitive aging: dissociable patterns of brain activity, Neurobiol. Aging, 2012, vol. 33, pp. 826.e1–826.e13CrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Ltd. 2019

Authors and Affiliations

  1. 1.Novosibirsk State Technical UniversityNovosibirskRussia
  2. 2.Scientific Research Institute of Physiology and Basic MedicineNovosibirskRussia

Personalised recommendations