alzheimer's disease (AD)

Decisional capacity to consent to treatment and research in patients affected by Mild Cognitive Impairment. A systematic review and meta-analysis

Objectives: To perform a meta-analysis of clinical studies on the differences in treatment or research decision-making capacity among patients with Mild Cognitive Impairment (MCI), Alzheimer's disease (AD), and healthy comparisons (HCs). Design: A systematic search was conducted on Medline/Pubmed, CINAHL, PsycINFO, Web of Science, and Scopus. Standardized mean differences and random-effects model were used in all cases. Setting: The United States, France, Japan, and China. Participants: Four hundred and ten patients with MCI, 149 with AD, and 368 HCs were included.

Sleep deprivation and Modafinil affect cortical sources of resting state electroencephalographic rhythms in healthy young adults

Objective: It has been reported that sleep deprivation affects the neurophysiological mechanisms underpinning the vigilance. Here, we tested the following hypotheses in the PharmaCog project (www.pharmacog.org): (i) sleep deprivation may alter posterior cortical delta and alpha sources of resting state eyes-closed electroencephalographic (rsEEG) rhythms in healthy young adults; (ii) after the sleep deprivation, a vigilance enhancer may recover those rsEEG source markers.

What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons

Electrophysiology provides a real-time readout of neural functions and network capability in different brain states, on temporal (fractions of milliseconds) and spatial (micro, meso, and macro) scales unmet by other methodologies. However, current international guidelines do not endorse the use of electroencephalographic (EEG)/magnetoencephalographic (MEG) biomarkers in clinical trials performed in patients with Alzheimer's disease (AD), despite a surge in recent validated evidence.

Ongoing electroencephalographic activity associated with cortical arousal in trangenic pdapp mice

Background: It has been shown that theta (6-10 Hz) and delta (1-6 Hz) ongoing
electroencephalographic (EEG) rhythms revealed variations in the cortical arousal in C57 Wild Type
(WT) mice during cage exploration (active condition) compared to awake quiet behavior (passive
condition; IMI PharmaCog project, www.pharmacog.eu).
Objective: The objective was to test if these EEG rhythms might be abnormal in old PDAPP mice
modeling Alzheimer’s disease (AD) with a hAPP Indiana V717F mutation (They show abnormal neural

Classification of healthy subjects and Alzheimer's disease patients with dementia from cortical sources of resting state EEG rhythms. A study using artificial neural networks

Previous evidence showed a 75.5% best accuracy in the classification of 120 Alzheimer's disease (AD) patients with dementia and 100 matched normal elderly (Nold) subjects based on cortical source current density and linear lagged connectivity estimated by eLORETA freeware from resting state eyes-closed electroencephalographic (rsEEG) rhythms (Babiloni et al., 2016a). Specifically, that accuracy was reached using the ratio between occipital delta and alpha1 current density for a linear univariate classifier (receiver operating characteristic curves).

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