Study of the MEG background activity in Alzheimer's disease patients with scaling analysis methods. 2009

Carlos Gomez, and Roberto Hornero, and Daniel Abasolo, and Alberto Fernandez, and Jesus Poza
Biomedical Engineering Group at Department of Signal Theory and Communications, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Campus Miguel Delibes, 47011 - Valladolid, Spain. cargom@tel.uva.es

Alzheimer's disease (AD) is one of the most prominent neurodegenerative disorders. The aim of this research work is to study the magnetoencephalogram (MEG) background activity in AD patients using two scaling analysis methods: detrended fluctuation analysis (DFA) and backward detrended moving average (BDMA). Both measures have been designed to quantify correlations in noisy and non-stationary signals. Five minutes of recording were acquired with a 148-channel whole-head magnetometer in 15 patients with probable AD and 15 control subjects. Both DFA and BDMA exhibited two scaling regions with different slopes. Significant differences between both groups were found in the second region of DFA and in the first region of BDMA (p < 0.01, Student's t-test). Using receiver operating characteristic curves, accuracies of 83.33% with DFA and of 80% with BDMA were reached. Our findings show the usefulness of these scaling analysis methods to increase our insight into AD.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D010363 Pattern Recognition, Automated In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed) Automated Pattern Recognition,Pattern Recognition System,Pattern Recognition Systems
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000369 Aged, 80 and over Persons 80 years of age and older. Oldest Old
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D000544 Alzheimer Disease A degenerative disease of the BRAIN characterized by the insidious onset of DEMENTIA. Impairment of MEMORY, judgment, attention span, and problem solving skills are followed by severe APRAXIAS and a global loss of cognitive abilities. The condition primarily occurs after age 60, and is marked pathologically by severe cortical atrophy and the triad of SENILE PLAQUES; NEUROFIBRILLARY TANGLES; and NEUROPIL THREADS. (From Adams et al., Principles of Neurology, 6th ed, pp1049-57) Acute Confusional Senile Dementia,Alzheimer's Diseases,Dementia, Alzheimer Type,Dementia, Senile,Presenile Alzheimer Dementia,Senile Dementia, Alzheimer Type,Alzheimer Dementia,Alzheimer Disease, Early Onset,Alzheimer Disease, Late Onset,Alzheimer Sclerosis,Alzheimer Syndrome,Alzheimer Type Senile Dementia,Alzheimer's Disease,Alzheimer's Disease, Focal Onset,Alzheimer-Type Dementia (ATD),Dementia, Presenile,Dementia, Primary Senile Degenerative,Early Onset Alzheimer Disease,Familial Alzheimer Disease (FAD),Focal Onset Alzheimer's Disease,Late Onset Alzheimer Disease,Primary Senile Degenerative Dementia,Senile Dementia, Acute Confusional,Alzheimer Dementias,Alzheimer Disease, Familial (FAD),Alzheimer Diseases,Alzheimer Type Dementia,Alzheimer Type Dementia (ATD),Alzheimers Diseases,Dementia, Alzheimer,Dementia, Alzheimer-Type (ATD),Familial Alzheimer Diseases (FAD),Presenile Dementia,Sclerosis, Alzheimer,Senile Dementia
D001185 Artificial Intelligence Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language. AI (Artificial Intelligence),Computer Reasoning,Computer Vision Systems,Knowledge Acquisition (Computer),Knowledge Representation (Computer),Machine Intelligence,Computational Intelligence,Acquisition, Knowledge (Computer),Computer Vision System,Intelligence, Artificial,Intelligence, Computational,Intelligence, Machine,Knowledge Representations (Computer),Reasoning, Computer,Representation, Knowledge (Computer),System, Computer Vision,Systems, Computer Vision,Vision System, Computer,Vision Systems, Computer

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