Literature DB >> 21971461

Resting state cortical rhythms in mild cognitive impairment and Alzheimer's disease: electroencephalographic evidence.

Claudio Babiloni1, Fabrizio Vecchio, Roberta Lizio, Raffaele Ferri, Guido Rodriguez, Nicola Marzano, Giovanni B Frisoni, Paolo M Rossini.   

Abstract

Physiological brain aging is characterized by a combination of synaptic pruning, loss of cortico-cortical connections and neuronal apoptosis that provoke age-dependent decline of cognitive functions. Neural/synaptic redundancy and plastic remodeling of brain networking, also secondary to mental and physical training, promotes maintenance of brain activity in healthy elderly for everyday life and fully productive affective and intellectual capabilities. Unfortunately, in pathological situations, aging triggers neurodegenerative processes that impact on cognition, like Alzheimer's disease (AD). Oscillatory electromagnetic brain activity is a hallmark of neuronal network function in various brain regions. Modern neurophysiological techniques including digital electroencephalography (EEG) allow non-invasive analysis of cortico-cortical connectivity and neuronal synchronization of firing, and coherence of brain rhythmic oscillations at various frequencies. The present review of field EEG literature suggests that discrimination between physiological and pathological brain aging clearly emerges at the group level, with some promising result on the informative value of EEG markers at the individual level. Integrated approaches utilizing neurophysiological techniques together with biological markers and structural and functional imaging are promising for large-scale, low-cost, widely available on the territory and non-invasive screening of at-risk populations.

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Year:  2011        PMID: 21971461     DOI: 10.3233/JAD-2011-0051

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  20 in total

1.  The Road Ahead to Cure Alzheimer's Disease: Development of Biological Markers and Neuroimaging Methods for Prevention Trials Across all Stages and Target Populations.

Authors:  E Cavedo; S Lista; Z Khachaturian; P Aisen; P Amouyel; K Herholz; C R Jack; R Sperling; J Cummings; K Blennow; S O'Bryant; G B Frisoni; A Khachaturian; M Kivipelto; W Klunk; K Broich; S Andrieu; M Thiebaut de Schotten; J-F Mangin; A A Lammertsma; K Johnson; S Teipel; A Drzezga; A Bokde; O Colliot; H Bakardjian; H Zetterberg; B Dubois; B Vellas; L S Schneider; H Hampel
Journal:  J Prev Alzheimers Dis       Date:  2014-12

2.  Theta responses are abnormal in mild cognitive impairment: evidence from analysis of theta event-related synchronization during a temporal expectancy task.

Authors:  Giuseppe Caravaglios; Emma Gabriella Muscoso; Giulia Di Maria; Erminio Costanzo
Journal:  J Neural Transm (Vienna)       Date:  2012-11-21       Impact factor: 3.575

3.  Family-based genome-wide association study of frontal θ oscillations identifies potassium channel gene KCNJ6.

Authors:  S J Kang; M Rangaswamy; N Manz; J-C Wang; L Wetherill; T Hinrichs; L Almasy; A Brooks; D B Chorlian; D Dick; V Hesselbrock; J Kramer; S Kuperman; J Nurnberger; J Rice; M Schuckit; J Tischfield; L J Bierut; H J Edenberg; A Goate; T Foroud; B Porjesz
Journal:  Genes Brain Behav       Date:  2012-05-31       Impact factor: 3.449

4.  Imaging the Alzheimer brain.

Authors:  J Wesson Ashford; Ahmad Salehi; Ansgar Furst; Peter Bayley; Giovanni B Frisoni; Clifford R Jack; Osama Sabri; Maheen M Adamson; Kerry L Coburn; John Olichney; Norbert Schuff; Daniel Spielman; Steven D Edland; Sandra Black; Allyson Rosen; David Kennedy; Michael Weiner; George Perry
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

5.  Temporo-frontal functional connectivity during auditory change detection is altered in Alzheimer's disease.

Authors:  Fu-Jung Hsiao; Wei-Ta Chen; Pei-Ning Wang; Chia-Hsiung Cheng; Yung-Yang Lin
Journal:  Hum Brain Mapp       Date:  2014-06-27       Impact factor: 5.038

6.  tDCS effects on brain network properties during physiological aging.

Authors:  Fabrizio Vecchio; Francesca Miraglia; Claudia Rodella; Francesca Alù; Carlo Miniussi; Paolo Maria Rossini; Maria Concetta Pellicciari
Journal:  Pflugers Arch       Date:  2020-07-04       Impact factor: 3.657

7.  Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer's Disease Screening from EEG Signals.

Authors:  Jordi Solé-Casals; François-Benoît Vialatte
Journal:  Sensors (Basel)       Date:  2015-07-23       Impact factor: 3.576

8.  On-Going Frontal Alpha Rhythms Are Dominant in Passive State and Desynchronize in Active State in Adult Gray Mouse Lemurs.

Authors:  Francesco Infarinato; Anisur Rahman; Claudio Del Percio; Yves Lamberty; Regis Bordet; Jill C Richardson; Gianluigi Forloni; Wilhelmus Drinkenburg; Susanna Lopez; Fabienne Aujard; Claudio Babiloni; Fabien Pifferi
Journal:  PLoS One       Date:  2015-11-30       Impact factor: 3.240

9.  Altered oscillation and synchronization of default-mode network activity in mild Alzheimer's disease compared to mild cognitive impairment: an electrophysiological study.

Authors:  Fu-Jung Hsiao; Yuh-Jen Wang; Sui-Hing Yan; Wei-Ta Chen; Yung-Yang Lin
Journal:  PLoS One       Date:  2013-07-11       Impact factor: 3.240

10.  Spectral Analysis of EEG in Familial Alzheimer's Disease with E280A Presenilin-1 Mutation Gene.

Authors:  Rene Rodriguez; Francisco Lopera; Alfredo Alvarez; Yuriem Fernandez; Lidice Galan; Yakeel Quiroz; Maria Antonieta Bobes
Journal:  Int J Alzheimers Dis       Date:  2014-01-02
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