Abstract
Eighteen older adults and 18 younger adults were compared on two quantitative measures describing changes over time in the spatial distribution of running EEG. EEG was collected from 128 electrodes under resting eyes-open and eyes-closed conditions and during performance of a 13 minute sustained attention task. One EEG measure, the recrudescence rate, represented the number of changes in the location of the highest squared voltage per second. A second EEG measure consisted of the algorithmic complexity of changes in the location of the highest squared voltage over time. Regardless of the task condition, older adults had significantly higher scores than younger adults on both the recrudescence rate and the measure of algorithmic complexity. The implications of the results for neurologically-based theories of performance declines in older adults are discussed.
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Cerella, J. Information processing rates in the elderly. Psychological Bulletin, 1985, 98: 67-83.
Duffy, F.H., Albert, M.S., McAnulty, G. and Garvey, A.J. Age-related differences in brain electrical activity of healthy subjects. Annals of Neurology, 1984, 16: 430-438.
Folstein, M.F., Folstein, S. and McHugh, P. Mini-mental state: A practical method for grading the cognitive state of patients for the clinician. Experimental Aging Research, 1975, 12(4): 721-726.
Hartikainen, P., Soininen, H., Partanen, J., Helkala, E.L. and Riekkinen, P. Aging and spectral analysis of EEG in normal subjects: a link to memory and CSF AchE. Acta. Neurol. Scand., 1992, 86: 148-155.
Hasher, L. and Zacks, R.T. Working memory, comprehension, and aging: A review and a new view. In: G. H. Bower (Ed.), The Psychology of Learning and Motivation: Advances in research and theory. Vol. 22. Academic Press, New York, 1988: 193-226.
Jimenez-Montano, M.A. On the syntactic structure of protein sequences and the concept of complexity. Bulletin of Mathematical Biology, 1984, 46: 641-659.
Kolmogorov, A.N. Three approaches to the definition of the concept of the quantity of information. IEEE Trans. Inform. Theory, IT14, 1965, 14: 662-669.
Klass, D.W. and Brenner, R. P. Electroencephalography of the elderly. Journal of Clinical Neurophysiology, 1995, 12(6): 116-131.
Madden, D.J., Turkington, T.G., Provenzale, J.M., Denny, L.L., Hawk, T.C., Gottlob, L.R. and Coleman, R.E. Adult age differences in the functional neuroanatomy of verbal recognition memory. Human Brain Mapping, 1999, 7: 115-135.
Marciani, M.G., Maschio, M., Spanedda, F., Caltagirone, C., Gigli, G.L. and Bernardi, G. Quantitative EEG evaluation in normal elderly subjects during mental processes: Age-related changes. International Journal of Neuroscience, 1994, 76: 131-140.
Myerson, J., Hale, S., Wagstaff, D., Poon, L.W. and Smith, G.A. The information loss model: A mathematical theory of age-related cognitive slowing. Psychological Review, 1990, 97: 475-487.
Potts, G., Dien J., Hartry-Speiser, A., McDougal, L. and Tucker, D. M. Dense sensor array topography of the event-related potential to task-relevant auditory stimuli. Electroencephalography and Clinical Neurophysiology, 1998, 97: 444-456.
Pribram, K.H., King, J. S., Pierce, T.W. and Warren, A.M. Some methods for dynamic analysis of scalp EEG. Brain Topography, 1996, 8: 235-244.
Rapp, P.E., Zimmerman, I.D., Vining, E.P., Cohen, N., Albano, A.M. and Jimenez-Montano, M.A. The algorithmic complexity of neural spike trains increase during focal seizures. The Journal of Neuroscience, 1994, 14(8): 4731-4739.
Salthouse, T.A. Speed of behavior and its implications for cognition. In: J.E. Birren and K.W. Schaie (Eds.), Handbook of the Psychology of Aging (2nd ed). Van Nostrand Reinhold, New York, 1985: 400-426.
Salthouse, T. Theoretical Perspectives on Cognitive Aging. Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 1991.
Sanford, J.A. Intermediate Visual and Auditory Continuous Performance Test: Interpretation Manual Version 1.2. Braintrain, Richmond, VA, 1995.
Storella, R.J., Shi, Y., Wood, H.W., Jimenez-Montano, M.A., Albano, A. M. and Rapp, P.E. The variance and the algorithmic complexity of heart rate variability display different responses to anesthesia. International Journal of Bifurcation and Chaos, 1996, 6: 2169-2172.
Tucker, D. Spatial sampling of head electrical fields: the geodesic sensor net. Electroencephalography and Clinical Neurophysiology, 1993, 87: 154-163.
Tucker, D.M., Liotti, M., Potts, G.F., Russell, G.S. and Posner, M.I. Spatiotemporal analysis of brain electrical fields. Human Brain Mapping, 1994, 1: 134-152.
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Pierce, T.W., Kelly, S.P., Watson, T.D. et al. Age Differences in Dynamic Measures of EEG. Brain Topogr 13, 127–134 (2000). https://doi.org/10.1023/A:1026659102713
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DOI: https://doi.org/10.1023/A:1026659102713