Literature DB >> 20022139

MCI patients' EEGs show group differences between those who progress and those who do not progress to AD.

D V Moretti1, G B Frisoni, C Fracassi, M Pievani, C Geroldi, G Binetti, P M Rossini, O Zanetti.   

Abstract

The theta/gamma and alpha3/alpha2 ratio were investigated as early markers for prognosticating of progression to dementia. 76 subjects with mild cognitive impairment (MCI) underwent EEG recording, MRI scans and neuropsychological (NPS) tests. After 3 years of follow-up, three subgroups were characterized as converters to Alzheimer's disease (AD, N=18), converters to non-AD dementia (N=14) and non-converters (N=44). The theta/gamma and alpha3/alpha2 ratio, performance on cognitive tests and hippocampal volume, as evaluated at the time of initial MCI diagnosis, were studied in the three groups. As expected, MCI to AD converters had the smallest mean hippocampal volume and poorest performance on verbal learning tests, whereas MCI to non-AD converters had poorest cognitive performance in non-verbal learning tests, abstract thinking, and letter fluency. Increased theta/gamma ratio was associated with conversion to both AD and non-AD dementia; increased alpha3/alpha2 ratio was only associated with conversion to AD. Theta/gamma and alpha3/alpha2 ratio could be promising prognostic markers in MCI patients. In particular, the increase of high alpha frequency seems to be associated with conversion in AD. EEG markers allow a mean correct percentage of correct classification up to 88.3%. Future prospective studies are needed to evaluate the sensitivity and specificity of these measures for predicting an AD outcome.
Copyright © 2009 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 20022139     DOI: 10.1016/j.neurobiolaging.2009.04.003

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  43 in total

1.  Neuropsychiatric symptoms in Alzheimer's disease.

Authors:  Constantine G Lyketsos; Maria C Carrillo; J Michael Ryan; Ara S Khachaturian; Paula Trzepacz; Joan Amatniek; Jesse Cedarbaum; Robert Brashear; David S Miller
Journal:  Alzheimers Dement       Date:  2011-09       Impact factor: 21.566

2.  Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer's disease.

Authors:  Claudio Babiloni; Claudio Del Percio; Marina Boccardi; Roberta Lizio; Susanna Lopez; Filippo Carducci; Nicola Marzano; Andrea Soricelli; Raffaele Ferri; Antonio Ivano Triggiani; Annapaola Prestia; Serenella Salinari; Paul E Rasser; Erol Basar; Francesco Famà; Flavio Nobili; Görsev Yener; Derya Durusu Emek-Savaş; Loreto Gesualdo; Ciro Mundi; Paul M Thompson; Paolo M Rossini; Giovanni B Frisoni
Journal:  Neurobiol Aging       Date:  2014-09-21       Impact factor: 4.673

3.  Alpha rhythm oscillations and MMSE scores are differently modified by transdermal or oral rivastigmine in patients with Alzheimer's disease.

Authors:  Davide V Moretti
Journal:  Am J Neurodegener Dis       Date:  2014-09-06

4.  The Mirror Neurons Network in Aging, Mild Cognitive Impairment, and Alzheimer Disease: A functional MRI Study.

Authors:  Elisabetta Farina; Francesca Baglio; Simone Pomati; Alessandra D'Amico; Isabella C Campini; Sonia Di Tella; Giulia Belloni; Thierry Pozzo
Journal:  Front Aging Neurosci       Date:  2017-11-15       Impact factor: 5.750

5.  Atrophy and lower regional perfusion of temporo-parietal brain areas are correlated with impairment in memory performances and increase of EEG upper alpha power in prodromal Alzheimer's disease.

Authors:  Vito Davide Moretti
Journal:  Am J Neurodegener Dis       Date:  2015-09-10

6.  Distinguishing rhythmic from non-rhythmic brain activity during rest in healthy neurocognitive aging.

Authors:  Jeremy B Caplan; Monica Bottomley; Pardeep Kang; Roger A Dixon
Journal:  Neuroimage       Date:  2015-03-10       Impact factor: 6.556

7.  Discrimination of stroke-related mild cognitive impairment and vascular dementia using EEG signal analysis.

Authors:  Noor Kamal Al-Qazzaz; Sawal Hamid Bin Mohd Ali; Siti Anom Ahmad; Mohd Shabiul Islam; Javier Escudero
Journal:  Med Biol Eng Comput       Date:  2017-11-08       Impact factor: 2.602

8.  Electroencephalogram alpha asymmetry in geriatric depression : Valid or vanished?

Authors:  Andreas K Kaiser; Michael Doppelmayr; Bernhard Iglseder
Journal:  Z Gerontol Geriatr       Date:  2016-07-15       Impact factor: 1.281

9.  Anatomical Substrate and Scalp EEG Markers are Correlated in Subjects with Cognitive Impairment and Alzheimer's Disease.

Authors:  Davide V Moretti; Giovanni B Frisoni; Giuliano Binetti; Orazio Zanetti
Journal:  Front Psychiatry       Date:  2011-01-04       Impact factor: 4.157

10.  Analysis of grey matter in thalamus and basal ganglia based on EEG α3/α2 frequency ratio reveals specific changes in subjects with mild cognitive impairment.

Authors:  Davide V Moretti; Donata Paternicò; Giuliano Binetti; Orazio Zanetti; Giovanni B Frisoni
Journal:  ASN Neuro       Date:  2012-12-14       Impact factor: 4.146

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