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  Age-related changes in sleep EEG are attenuated in highly intelligent individuals

Potari, A., Ujma, P. P., Konrad, B. N., Genzel, L., Simor, P., Kormendi, J., et al. (2017). Age-related changes in sleep EEG are attenuated in highly intelligent individuals. NEUROIMAGE, 146, 554-560. doi:10.1016/j.neuroimage.2016.09.039.

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 Creators:
Potari, Adrian1, Author
Ujma, Peter P.1, Author
Konrad, Boris N.1, Author
Genzel, Lisa1, Author
Simor, Peter1, Author
Kormendi, Janos1, Author
Gombos, Ferenc1, Author
Steiger, Axel2, Author           
Dresler, Martin1, 2, Author           
Bodizs, Robert1, Author
Affiliations:
1external, ou_persistent22              
2Max Planck Institute of Psychiatry, Max Planck Society, ou_1607137              

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Free keywords: SLOW-WAVE ACTIVITY; SOCIOECONOMIC-STATUS; RISK-FACTORS; DENSITY; CHILDREN; POWER; HOMEOSTASIS; MATURATION; PLASTICITY; MORTALITYNeurosciences & Neurology; Radiology, Nuclear Medicine & Medical Imaging; Sleep; Electroencephalography; Slow wave activity; Aging; Intelligence; Fluid reasoning;
 Abstract: Impaired sleep is a frequent complaint in ageing and a risk factor for many diseases. Non-rapid eye movement (NREM) sleep EEG delta power reflects neural plasticity and, in line with age-related cognitive decline, decreases with age. Individuals with higher general intelligence are less affected by age-related cognitive decline or other disorders and have longer lifespans. We investigated the correlation between age and EEG power in 159 healthy human subjects (age range: 17-69 years), and compared an average (IQ < 120; N=87) with a high (IQ >= 120; N=72) intelligence subgroup. We found less age-related decrease in all-night relative NREM sleep EEG delta power in the high intelligence subgroup. Our results suggest that highly intelligent individuals are less affected by the sleep-related effects of biological ageing, and therefore potentially less at risk for age-related cognitive deficits and other diseases.

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Language(s): eng - English
 Dates: 2017
 Publication Status: Issued
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: NEUROIMAGE
Source Genre: Journal
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Publ. Info: ACADEMIC PRESS INC ELSEVIER SCIENCE
Pages: - Volume / Issue: 146 Sequence Number: - Start / End Page: 554 - 560 Identifier: ISSN: 1053-8119