Literature DB >> 17565502

Synchronization measures of the scalp electroencephalogram can discriminate healthy from Alzheimer's subjects.

Mark A Kramer1, Fen-Lei Chang, Maurice E Cohen, Donna Hudson, Andrew J Szeri.   

Abstract

Three synchronization measures are applied to scalp electroencephalogram (EEG) data collected from 20 patients diagnosed to have either: (1) no dementia, (2) mild cognitive impairment (MCI), or (3) Alzheimer's disease (AD). We apply the three synchronization measures--the phase synchronization, and two measures of nonlinear interdependency--to the data collected from awake patients resting with eyes closed. We show that the synchronization in potential between electrodes near the left and right occipital lobes provides a statistically significant discriminant between the healthy and AD subjects, and the MCI and AD subjects. None of the three measures appears able to distinguish between the healthy and MCI subjects, although MCI subjects show synchronization values intermediate between healthy subjects (with high synchronization values) and AD subjects (with low synchronization values) on average.

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Year:  2007        PMID: 17565502     DOI: 10.1142/S0129065707000932

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  10 in total

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2.  Quantifying synchrony patterns in the EEG of Alzheimer's patients with linear and non-linear connectivity markers.

Authors:  Markus Waser; Heinrich Garn; Reinhold Schmidt; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Helena Schmidt; Stephan Seiler; Günter Sanin; Florian Mayer; Georg Caravias; Dieter Grossegger; Wolfgang Frühwirt; Manfred Deistler
Journal:  J Neural Transm (Vienna)       Date:  2015-09-28       Impact factor: 3.575

3.  Magnetoencephalography as a putative biomarker for Alzheimer's disease.

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Journal:  Int J Alzheimers Dis       Date:  2011-04-10

4.  Synchronization from second order network connectivity statistics.

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5.  Diagnosis of Alzheimer's disease with Electroencephalography in a differential framework.

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6.  Behavioral and Neurophysiological Effects of Transcranial Direct Current Stimulation (tDCS) in Fronto-Temporal Dementia.

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Journal:  Front Behav Neurosci       Date:  2018-10-29       Impact factor: 3.558

7.  Network synchronization deficits caused by dementia and Alzheimer's disease serve as topographical biomarkers: a pilot study.

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Journal:  Brain Struct Funct       Date:  2022-08-23       Impact factor: 3.748

8.  Neural correlates of true and false memory in mild cognitive impairment.

Authors:  Catherine M Sweeney-Reed; Patricia M Riddell; Judi A Ellis; Jayne E Freeman; Slawomir J Nasuto
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

9.  Transcranial Direct Current Stimulation Modulates Cortical Neuronal Activity in Alzheimer's Disease.

Authors:  Sara Marceglia; Simona Mrakic-Sposta; Manuela Rosa; Roberta Ferrucci; Francesca Mameli; Maurizio Vergari; Mattia Arlotti; Fabiana Ruggiero; Elio Scarpini; Daniela Galimberti; Sergio Barbieri; Alberto Priori
Journal:  Front Neurosci       Date:  2016-03-31       Impact factor: 4.677

10.  Selection of Mother Wavelet Functions for Multi-Channel EEG Signal Analysis during a Working Memory Task.

Authors:  Noor Kamal Al-Qazzaz; Sawal Hamid Bin Mohd Ali; Siti Anom Ahmad; Mohd Shabiul Islam; Javier Escudero
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  10 in total

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