Sleep EEG functional connectivity varies with age and sex, but not general intelligence

NEUROBIOLOGY OF AGING

卷:78

Article

Ujma, Peter P.^1,2  Konrad, Boris N.³  Simor, Peter^1,4  Gombos, Ferenc^5,6  Kormendi, Janos⁷  Steiger, Axel⁸  Dresler, Martin^3,8  Bodizs, Robert^1,2 

[1] Semmelweis Univ, Inst Behav Sci, Nagyvarad Ter 4, H-1089 Budapest, Hungary

[2] Juhasz Pal Epilepsy Ctr, Natl Inst Clin Neurosci, Budapest, Hungary

[3] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Med Ctr, Nijmegen, Netherlands

[4] Eotvos Lorand Univ, Inst Psychol, ELTE, Budapest, Hungary

[5] Pazmany Peter Catholic Univ, Dept Gen Psychol, Budapest, Hungary

[6] Hungarian Acad Sci, MTA PPKE Adolescent Dev Res Grp, Budapest, Hungary

[7] Pannon Univ, Dept Elect Engn & Informat Syst, Veszprem, Hungary

[8] Max Planck Inst Psychiat, Munich, Germany

关键词: Sleep EEG;    Synchronization;    Aging;    Sex differences;    General intelligence;   

DOI  :  10.1016/j.neurobiolaging.2019.02.007

来源: Elsevier

【 摘 要 】

Variations in the anatomical and functional connectivity between brain areas underlie both healthy and pathological variation in psychological measures. Largely independent from external stimuli, the sleep EEG is particularly well suited to measure individual variations in functional brain connectivity. In this study of 172 healthy individuals (17-69 years old), we show that functional connectivity between distant brain areas-reflected by the weighted phase lag index of the sleep EEG-is strongly affected by the age and sex of participants. Both NREM and REM connectivity in the theta and beta range increased with age, whereas a decrease was seen in the sigma range. Connectivity was substantially greater in females than in males in the high sigma frequency range, but an opposite pattern was seen in the alpha/low sigma and beta range. General intelligence was not significantly associated with connectivity in either sex. Our results confirm strong age effects on sleep spindle-frequency activity, which loses synchrony as a function of aging. Furthermore, we found support for a vigilance state-independent age-related increase in high beta power, previously demonstrated in waking EEG studies. The results highlight that future studies establishing sleep EEG connectivity measures as psychological or psychiatric biomarkers should take into account that sleep EEG synchronization is strongly affected by age and sex, and clinical thresholds must be adjusted accordingly. (C) 2019 Elsevier Inc. All rights reserved.

【 授权许可】

Free