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P1‐158: Spectral ongoing eeg markers of motor activity in mouse models in physiological aging and Alzheimer's disease
Author(s) -
Babiloni Claudio,
Del Percio Claudio,
Lopez Susanna,
Bastlund Jesper F.,
Clausen Bettina,
Forloni Gianluigi,
Frasca Angelisa,
Bentivoglio Marina,
Fabene Paolo Francesco,
Bertini Giuseppe,
Kelley Jonathan,
Dix Sophie,
Richardson Jill,
Drinkenburg Wilhelmus
Publication year - 2015
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2015.06.357
Subject(s) - electroencephalography , pathological , disease , psychology , medicine , physiology , audiology , neuroscience , cardiology
Background:Gray mouse lemurs share several genetic, physiological, and anatomical similarities with humans; they show a complex nervous system andmimic the heterogeneity observed in the human population. With the aim of characterise this promising animal model, in the framework of IMI PharmaCog project (Grant Agreement n 115009, www.pharmacog.org), we explored translatable electrophysiological biomarkers to bridge cortical and motor activity before and after a sleep deprivation (SD) challenge. Methods: All animal studies were ethically reviewed and carried out in accordance with European Directive 86/609/EEC. Electroencephalographic (EEG, bipolar electrodes in frontal cortex) and electromyographic (EMG; bipolar electrodes sutured in neck muscles) data were recorded in 8 male adult (about 3 years) lemurs. All the animals underwent to a light off/on cycle (22.00-08.00: light off; 08.00-22.00: light on). The SD protocol was performed with a duration of 8 hours in light on condition (mostly 08.00-16.00). Artifact-free EEG segments were used as an input for EEG power density analysis focusing on the effects of SD (before SD vs. after SD condition) on EEG rhythms. Results: Figure 1a shows the grand average across animals (n1⁄47mouse lemurs) of the normalized EEG power density spectra (0-30 Hz) in before SD and after SD condition (period of interest during nighttime). Normalized EEG power density values showed an higher value between 8 and 12 Hz, namely in the putative alpha range, and a less value between 2 and 4 Hz, namely in the putative delta range, in the before SD condition compared with after SD condition. Figure 1b illustrates the statistical significant result of t-test computed with the delta-toalpha ratio of the normalized EEG power density as dependent variable between the before and after SD condition. Conclusions: On-going EEG markers change in gray mouse lemurs after SD as a consequence of cortical deactivation induced by SD challenge. These results should be confirmed with the assessment of behavioural state in order to evaluate improve our understanding of the neurophysiological mechanisms underlying the motor activity and cortical arousal in this animal model.