Abstract
As working memory (WM) is compromised with advancing age, older people may have performance deficits in WM tasks. This is probably due to a great number of WM operations which should be performed for extended periods of time. The reduction of a number of these operations was expected to reduce WM load and age-related deficits in WM performance. Fifty younger (29±3 years) and 49 older (55±3 years) healthy employees had to perform a visual 0-back (oddball) task and a 2-back task. Within the 2-back task, the short (3 or 4 items, low WM load) and long (5 or 6 items, high WM load) target-to-target sub-sequences were analysed separately. Older workers performed worse than younger ones at higher WM loads, except for the oddball condition and low WM load condition. The N2 latency of the event-related potentials (ERPs) increased with WM load and was generally longer in older than younger adults. In addition, the N2 latency decreased with WM load in younger adults but did not change in older ones. Older workers also showed a delayed P3a as well as a delayed and reduced P3b. By contrast, age-related enhancements of the occipital N1 and frontal P2 components under WM load were observed. The parietal slow positive wave (SPW) increased under high WM load but did not vary with age. The results indicate that older adults are able to compensate for age-related WM impairments when the amount of WM operations required does not exceed the limits of their WM capacity. The allocation of cognitive resources to stimulus encoding (N1) and memory retrieval (P2) are putative neuronal mechanisms for these WM improvements. However, older adults have maintenance problems at higher WM loads. This is associated with deficits in neuronal processes relating to response selection (N2), detection of changes in WM representations (P3a) and WM updating (P3b). These results provide a basis for the development of work load criteria and training opportunities for older workers who have to do complex work requiring working memory.
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References
Baddeley, A.: Working Memory. Science 255, 556–559 (1992)
Rodrigue, K.M., Kennedy, K.M.: The cognitive consequences of structural changes to the aging brain. In: Schaie, K.W., Willis, S.L. (eds.) Handbook of the Psychology of Aging, pp. 73–91. Elsevier, Amsterdam (2011)
Friedman, D.: The components of aging. In: Kappenman, E.S., Luck, S.J. (eds.) Oxford Handbook of Event-Related Potential Components. Oxford University Press, New York (2011)
Folstein, J.R., Van Petten, C.: Influence of cognitive control and mismatch on the N2 component of the ERP: a review. Psychophysiol. 45, 152–170 (2008)
Donchin, E., Coles, M.G.H.: Is the P300 component a manifestation of context updating? Behav. Brain Sci. 11, 355–425 (1988)
Polich, J.: Updating P300: An integrative theory of P3a and P3b. Clin. Neurophysiol. 118, 2128–2148 (2007)
Daffner, K.R., Chong, H., Sun, X., Tarbi, E.C., Riis, J.L., McGinnis, S.M., Holcomb, P.J.: Mechanisms underlying age- and performance-related differences in working memory. J. Cogn. Neurosci. 23, 1298–1314 (2011)
McEvoy, L.K., Pellouchoud, E., Smith, M.E., Gevins, A.: Neurophysiological signals of working memory in normal aging. Cogn. Brain Res. 11, 363–376 (2001)
Wild-Wall, N., Falkenstein, M., Gajewski, P.D.: Age-related differences in working memory performance in a 2-back task. Front. Psychol. 2, 186 (2011)
Gazzaley, A., Clapp, W., Kelley, J., McEvoy, K., Knight, R.T., D’Esposito, M.: Age-related top-down suppression deficit in the early stages of cortical visual memory processing. PNAS 105, 13122–13126 (2008)
Hillyard, S.A., Anllo-Vento, L.: Event-related brain potential in the study of visual selective attention. PANAS 95, 781–785 (1998)
Luck, S.J., Hillyard, S.A.: Electrophysiological correlates of feature analysis during visual search. Psychophysiol. 31, 291–308 (1994)
Potts, G.F.: An ERP index of task relevance evaluation of visual stimuli. Brain and Cogn. 56, 5–13 (2004)
Ruchkin, D.S., Johnson Jr., R., Canoune, H., Ritter, W.: Short-term memory storage and retention: an event-related brain potential study. Electroencephalogr. Clin. Neurophysiol. 76, 419–439 (1990)
Gevins, A., Smith, M.E., McEvoy, L., Yu, D.: High-resolution, E.E.G.: EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice. Cereb. Cortex 7, 374–385 (1997)
Schmiedek, F., Li, S.C., Lindenberger, U.: Interference and facilitation in spatial working memory: age-associated differences in lure effects in the n-back paradigm. Psychol. Aging 24, 203–210 (2009)
Cowan, N.: The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behav. Brain Sci. 24, 87–185 (2001)
Chao, L.L., Knight, R.T.: Prefrontal deficits in attention and inhibitory control with aging. Cereb. Cortex 7, 63–69 (1997)
Schapkin, S.A., Gajewski, P.D., Freude, G.: Age differences in memory-based task switching with and without cues: An ERP study. Journal of Psychophysiology (in press, 2014)
Falkenstein, M., Hoormann, J., Hohnsbein, J.: Inhibition-related ERP components: variation with modality, age, and time on-task. J. Psychophysiol. 16, 167–175 (2002)
Gajewski, P.D., Falkenstein, M.: Diversity of the P3 in the task-switching paradigm. Brain Research 1411, 87–97 (2011)
Ritter, W., Simson, R., Vaughan Jr., H.G., Friedman, D.: A brain event related to the making of a sensory discrimination. Science 203, 1358–1361 (1979)
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Schapkin, S.A., Freude, G. (2014). Neuronal Mechanisms of Working Memory Performance in Younger and Older Employees. In: Harris, D. (eds) Engineering Psychology and Cognitive Ergonomics. EPCE 2014. Lecture Notes in Computer Science(), vol 8532. Springer, Cham. https://doi.org/10.1007/978-3-319-07515-0_8
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DOI: https://doi.org/10.1007/978-3-319-07515-0_8
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