| Literature DB >> 32111391 |
Claudio Babiloni1, Susanna Lopez2, Claudio Del Percio3, Giuseppe Noce4, Maria Teresa Pascarelli5, Roberta Lizio4, Stefan J Teipel6, Gabriel González-Escamilla7, Hovagim Bakardjian8, Nathalie George9, Enrica Cavedo10, Simone Lista10, Patrizia Andrea Chiesa10, Andrea Vergallo11, Pablo Lemercier10, Giuseppe Spinelli8, Michel J Grothe12, Marie-Claude Potier13, Fabrizio Stocchi14, Raffaele Ferri5, Marie-Odile Habert15, Francisco J Fraga16, Bruno Dubois8, Harald Hampel11.
Abstract
Cognitive reserve is present in Alzheimer's disease (AD) seniors with high education attainment making them clinically resilient to extended brain neuropathology and neurodegeneration. Here, we tested whether subjective memory complaint (SMC) seniors with AD neuropathology and high education attainment of the prospective INSIGHT-preAD cohort (Paris) may present abnormal eyes-closed resting state posterior electroencephalographic rhythms around individual alpha frequency peak, typically altered in AD patients. The SMC participants negative to amyloid PET AD markers (SMCneg) with high (over low-moderate) education level showed higher posterior alpha 2 power density (possibly "neuroprotective"). Furthermore, amyloid PET-positive SMC (SMCpos) participants with high (over low-moderate) education level showed higher temporal alpha 3 power density (possibly "neuroprotective") and lower posterior alpha 2 power density (possibly "compensatory"). This effect may reflect cognitive reserve as no differences in brain gray-white matter, and cognitive functions were observed between these SMCpos/SMCneg subgroups. Preclinical Alzheimer's neuropathology may interact with education attainment and neurophysiological mechanisms generating cortical alpha rhythms around individual alpha frequency peak (i.e., alpha 2 and 3) in quiet wakefulness.Entities:
Keywords: Alpha rhythms; INSIGHT-preAD study; Preclinical Alzheimer's disease (AD); Preclinical Alzheimer's neuropathology; Resting state EEG rhythms; Subjective memory complaint (SMC)
Year: 2020 PMID: 32111391 DOI: 10.1016/j.neurobiolaging.2020.01.012
Source DB: PubMed Journal: Neurobiol Aging ISSN: 0197-4580 Impact factor: 4.673