Literature DB >> 16917185

Quantitative magnetoencephalography of spontaneous brain activity in Alzheimer disease: an exhaustive frequency analysis.

Alberto Fernández1, Roberto Hornero, Agustín Mayo, Jesús Poza, Fernando Maestú, Tomás Ortiz Alonso.   

Abstract

Quantitative magnetoencephalography (qMEG) was used to investigate differences in the 2 to 60 Hz spectral power, between Alzheimer disease (AD) patients and control subjects. Twenty-two AD patients and 21 age-matched control subjects participated in this study. MEG signal analysis comprised the division of the entire 2 to 60 Hz spectrum in 2 Hz-width subbands. Both the relative power and the contribution of each subband to the correct classification of AD patients and controls were calculated. The relative power in 2 bands comprised between 2 to 4 Hz and 16 to 28 Hz was selected by a restrictive multiple-comparison test, among the entire 2 to 60 Hz spectrum. Using 2 to 4 Hz values it is possible to choose a classification rule with an estimate sensitivity and specificity given by 68% and 76% respectively. Alternatively, when 16 to 28 Hz values are used, it is possible to obtain a better classification rule with an estimate sensitivity and specificity given by 81% and 80%, respectively. To the best of our knowledge, this is the first electroencephalography or MEG study where a so exhaustive analysis of the magneto-electric spectrum has been performed. This study supports the notion that more attention should be devoted to the study of beta band in AD.

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Year:  2006        PMID: 16917185     DOI: 10.1097/00002093-200607000-00006

Source DB:  PubMed          Journal:  Alzheimer Dis Assoc Disord        ISSN: 0893-0341            Impact factor:   2.703


  8 in total

1.  Potential utility of resting-state magnetoencephalography as a biomarker of CNS abnormality in HIV disease.

Authors:  James T Becker; Melissa Fabrizio; Gustavo Sudre; Anna Haridis; Timothy Ambrose; Howard J Aizenstein; William Eddy; Oscar L Lopez; David A Wolk; Lauri Parkkonen; Anto Bagic
Journal:  J Neurosci Methods       Date:  2012-03-05       Impact factor: 2.390

2.  Transcallosal connectivity and cortical rhythms: findings in children with spina bifida.

Authors:  Eduardo M Castillo; Jack M Fletcher; Zhimin Li; Mayre M Hoskison; Khader M Hasan; Anthony Passaro; Andrew C Papanicolaou
Journal:  Neuroreport       Date:  2009-08-26       Impact factor: 1.837

3.  MEG spectral analysis in subtypes of mild cognitive impairment.

Authors:  M E López; P Cuesta; P Garcés; P N Castellanos; S Aurtenetxe; R Bajo; A Marcos; M L Delgado; P Montejo; J L López-Pantoja; F Maestú; A Fernandez
Journal:  Age (Dordr)       Date:  2014-02-16

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

Authors:  Edward Zamrini; Fernando Maestu; Eero Pekkonen; Michael Funke; Jyrki Makela; Myles Riley; Ricardo Bajo; Gustavo Sudre; Alberto Fernandez; Nazareth Castellanos; Francisco Del Pozo; C J Stam; Bob W van Dijk; Anto Bagic; James T Becker
Journal:  Int J Alzheimers Dis       Date:  2011-04-10

5.  Slowing of Hippocampal Activity Correlates with Cognitive Decline in Early Onset Alzheimer's Disease. An MEG Study with Virtual Electrodes.

Authors:  Marjolein M A Engels; Arjan Hillebrand; Wiesje M van der Flier; Cornelis J Stam; Philip Scheltens; Elisabeth C W van Straaten
Journal:  Front Hum Neurosci       Date:  2016-05-20       Impact factor: 3.169

6.  Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimer's Disease: An Analysis Based on Frequency Bands.

Authors:  Ignacio Echegoyen; David López-Sanz; Johann H Martínez; Fernando Maestú; Javier M Buldú
Journal:  Entropy (Basel)       Date:  2020-01-18       Impact factor: 2.524

7.  Diagnosis of Alzheimer's Disease in Developed and Developing Countries: Systematic Review and Meta-Analysis of Diagnostic Test Accuracy.

Authors:  Miguel A Chávez-Fumagalli; Pallavi Shrivastava; Jorge A Aguilar-Pineda; Rita Nieto-Montesinos; Gonzalo Davila Del-Carpio; Antero Peralta-Mestas; Claudia Caracela-Zeballos; Guillermo Valdez-Lazo; Victor Fernandez-Macedo; Alejandro Pino-Figueroa; Karin J Vera-Lopez; Christian L Lino Cardenas
Journal:  J Alzheimers Dis Rep       Date:  2021-01-11

Review 8.  An Overview of ICA/BSS-Based Application to Alzheimer's Brain Signal Processing.

Authors:  Wenlu Yang; Alexander Pilozzi; Xudong Huang
Journal:  Biomedicines       Date:  2021-04-06
  8 in total

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