Electroencephalographic Rhythms in Alzheimer's Disease

Physiological brain aging is characterized by synapses loss and neurodegeneration that slowly lead to an age-related decline of cognition. Neural/synaptic redundancy and plastic remodelling of brain networking, also due to mental and physical training, promotes maintenance of brain activity in healt...

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Main Authors:	Lizio, Roberta, Vecchio, Fabrizio, Frisoni, Giovanni B., Ferri, Raffaele, Rodriguez, Guido, Babiloni, Claudio
Format:	Online
Language:	English
Published:	SAGE-Hindawi Access to Research 2011
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100729/

id	pubmed-3100729
recordtype	oai_dc
spelling	pubmed-31007292011-05-31 Electroencephalographic Rhythms in Alzheimer's Disease Lizio, Roberta Vecchio, Fabrizio Frisoni, Giovanni B. Ferri, Raffaele Rodriguez, Guido Babiloni, Claudio Review Article Physiological brain aging is characterized by synapses loss and neurodegeneration that slowly lead to an age-related decline of cognition. Neural/synaptic redundancy and plastic remodelling of brain networking, also due to mental and physical training, promotes maintenance of brain activity in healthy elderly subjects for everyday life and good social behaviour and intellectual capabilities. However, age is the major risk factor for most common neurodegenerative disorders that impact on cognition, like Alzheimer's disease (AD). Brain electromagnetic activity is a feature of neuronal network function in various brain regions. Modern neurophysiological techniques, such as electroencephalography (EEG) and event-related potentials (ERPs), are useful tools in the investigation of brain cognitive function in normal and pathological aging with an excellent time resolution. These techniques can index normal and abnormal brain aging analysis of corticocortical connectivity and neuronal synchronization of rhythmic oscillations at various frequencies. The present review suggests that discrimination between physiological and pathological brain aging clearly emerges at the group level, with suggested applications also at the level of single individual. The possibility of combining the use of EEG together with biological/neuropsychological markers and structural/functional imaging is promising for a low-cost, non-invasive, and widely available assessment of groups of individuals at-risk. SAGE-Hindawi Access to Research 2011-05-12 /pmc/articles/PMC3100729/ /pubmed/21629714 http://dx.doi.org/10.4061/2011/927573 Text en Copyright © 2011 Roberta Lizio et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Lizio, Roberta Vecchio, Fabrizio Frisoni, Giovanni B. Ferri, Raffaele Rodriguez, Guido Babiloni, Claudio
spellingShingle	Lizio, Roberta Vecchio, Fabrizio Frisoni, Giovanni B. Ferri, Raffaele Rodriguez, Guido Babiloni, Claudio Electroencephalographic Rhythms in Alzheimer's Disease
author_facet	Lizio, Roberta Vecchio, Fabrizio Frisoni, Giovanni B. Ferri, Raffaele Rodriguez, Guido Babiloni, Claudio
author_sort	Lizio, Roberta
title	Electroencephalographic Rhythms in Alzheimer's Disease
title_short	Electroencephalographic Rhythms in Alzheimer's Disease
title_full	Electroencephalographic Rhythms in Alzheimer's Disease
title_fullStr	Electroencephalographic Rhythms in Alzheimer's Disease
title_full_unstemmed	Electroencephalographic Rhythms in Alzheimer's Disease
title_sort	electroencephalographic rhythms in alzheimer's disease
description	Physiological brain aging is characterized by synapses loss and neurodegeneration that slowly lead to an age-related decline of cognition. Neural/synaptic redundancy and plastic remodelling of brain networking, also due to mental and physical training, promotes maintenance of brain activity in healthy elderly subjects for everyday life and good social behaviour and intellectual capabilities. However, age is the major risk factor for most common neurodegenerative disorders that impact on cognition, like Alzheimer's disease (AD). Brain electromagnetic activity is a feature of neuronal network function in various brain regions. Modern neurophysiological techniques, such as electroencephalography (EEG) and event-related potentials (ERPs), are useful tools in the investigation of brain cognitive function in normal and pathological aging with an excellent time resolution. These techniques can index normal and abnormal brain aging analysis of corticocortical connectivity and neuronal synchronization of rhythmic oscillations at various frequencies. The present review suggests that discrimination between physiological and pathological brain aging clearly emerges at the group level, with suggested applications also at the level of single individual. The possibility of combining the use of EEG together with biological/neuropsychological markers and structural/functional imaging is promising for a low-cost, non-invasive, and widely available assessment of groups of individuals at-risk.
publisher	SAGE-Hindawi Access to Research
publishDate	2011
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3100729/
_version_	1611455433053044736

Electroencephalographic Rhythms in Alzheimer's Disease

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