Age-related differences in working memory evoked gamma oscillations
Autor: | Natasha Radhu, Zafiris J. Daskalakis, Tarek K. Rajji, Reza Zomorrodi, Mera S. Barr, Crissa L. Guglietti, Paul Ritvo |
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Rok vydání: | 2014 |
Předmět: |
Adult
Male Aging medicine.medical_specialty Electroencephalography Audiology Developmental psychology Young Adult Reference Values Elderly population Age related Reaction Time medicine Gamma Rhythm Humans Elderly adults Cognitive decline Healthy aging Evoked Potentials Molecular Biology medicine.diagnostic_test Gamma power Working memory General Neuroscience Brain Middle Aged Verbal Learning Memory Short-Term Educational Status Female Neurology (clinical) Psychology Developmental Biology |
Zdroj: | Brain Research. 1576:43-51 |
ISSN: | 0006-8993 |
DOI: | 10.1016/j.brainres.2014.05.043 |
Popis: | Objective Working memory is associated with gamma oscillations (30–50 Hz). Previous studies have demonstrated altered gamma oscillations in the elderly population that may be related to general cognitive decline. However, it is unknown how gamma oscillations change with age or if there is an age when gamma oscillations optimally mediate working memory performance. That is, gamma oscillations may be maximal in middle-aged adults compared to younger and elderly adults. The objective of this study was to evaluate working memory evoked gamma oscillations in adults aged 19–29 years (mean 23.32±2.85 1 SD) compared to adults aged 30–60 years (mean 39.10±8.11 1 SD). Methods Subjects completed the verbal N-back task administered at four working loads (0, 1, 2, 3), while electroencephalography (EEG) was collected. Gamma power was measured during correct responses. Results Reduced gamma oscillations were observed in the adults aged 19–29 compared to those aged 30–60 years. Age was found to be positively related to the power of gamma oscillations. No differences were found on N-Back accuracy. Conclusions Increased working memory evoked gamma oscillatory activity may provide a neurophysiological marker in the healthy aging brain. |
Databáze: | OpenAIRE |
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