Literature DB >> 16503184

Complexity analysis of the magnetoencephalogram background activity in Alzheimer's disease patients.

Carlos Gómez1, Roberto Hornero, Daniel Abásolo, Alberto Fernández, Miguel López.   

Abstract

The aim of the present study was to analyse the magnetoencephalogram (MEG) background activity in patients with Alzheimer's disease (AD) using the Lempel-Ziv (LZ) complexity. This non-linear method measures the complexity of finite sequences and is related to the number of distinct substrings and the rate of their occurrence along the sequence. The MEGs were recorded with a 148-channel whole-head magnetometer (MAGNES 2500 WH, 4D Neuroimaging) in 21 patients with AD and in 21 age-matched control subjects. Artefact-free epochs were selected for complexity analysis. Results showed that MEG signals from AD patients had lower complexity than control subjects' MEGs and the differences were statistically significant (p<0.01). In order to reduce the dimension of the LZ complexity results, a principal components analysis (PCA) was applied, and only the first principal component was retained. The first component score from PCA was graphically analysed using a box plot and a receiver-operating characteristic (ROC) curve. A specificity of 85.71%, a sensitivity of 80.95% and an area under the ROC curve of 0.9002 were obtained. These preliminary results suggest that cognitive dysfunction in AD is associated with a decreased LZ complexity in the MEG signals.

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Year:  2006        PMID: 16503184     DOI: 10.1016/j.medengphy.2006.01.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies.

Authors:  David Santamarta; Roberto Hornero; Daniel Abásolo; Milton Martínez-Madrigal; Javier Fernández; Jose García-Cosamalón
Journal:  Childs Nerv Syst       Date:  2010-08-03       Impact factor: 1.475

2.  The psychosis-like effects of Δ(9)-tetrahydrocannabinol are associated with increased cortical noise in healthy humans.

Authors:  Jose A Cortes-Briones; John D Cahill; Patrick D Skosnik; Daniel H Mathalon; Ashley Williams; R Andrew Sewell; Brian J Roach; Judith M Ford; Mohini Ranganathan; Deepak Cyril D'Souza
Journal:  Biol Psychiatry       Date:  2015-03-30       Impact factor: 13.382

3.  Entropy and Complexity Analyses in Alzheimer's Disease: An MEG Study.

Authors:  Carlos Gómez; Roberto Hornero
Journal:  Open Biomed Eng J       Date:  2010-10-10

Review 4.  A Comprehensive Review of Magnetoencephalography (MEG) Studies for Brain Functionality in Healthy Aging and Alzheimer's Disease (AD).

Authors:  Pravat K Mandal; Anwesha Banerjee; Manjari Tripathi; Ankita Sharma
Journal:  Front Comput Neurosci       Date:  2018-08-23       Impact factor: 2.380

5.  Relationship between the Presence of the ApoE ε4 Allele and EEG Complexity along the Alzheimer's Disease Continuum.

Authors:  Víctor Gutiérrez-de Pablo; Carlos Gómez; Jesús Poza; Aarón Maturana-Candelas; Sandra Martins; Iva Gomes; Alexandra M Lopes; Nádia Pinto; Roberto Hornero
Journal:  Sensors (Basel)       Date:  2020-07-10       Impact factor: 3.576

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.  Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques.

Authors:  Monika Simjanoska; Martin Gjoreski; Matjaž Gams; Ana Madevska Bogdanova
Journal:  Sensors (Basel)       Date:  2018-04-11       Impact factor: 3.576

  7 in total

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