By Topic

What are the symbols of Alzheimer? A permutation entropy based symbolic analysis for the detection of early changes of the electroencephalographic complexity due to mild Alzheimer

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

13 Author(s)
Frantzidis, C.A. ; Lab. of Med. Inf., Aristotle Univ. (AUTH), Thessaloniki, Greece ; Ladas, A. ; Diamantoudi, M.D. ; Semertzidou, A.
more authors

Alzheimer's disease (AD) is the most common type of dementia, greatly affecting cognitive functioning and independent living of elderly population. The lack of an available drug therapy that could prevent disease progression shifted the research interest towards the early detection of the neurodegeneration symptoms that affect the mature brain and impair the interaction between brain regions, thus partially causing functional disconnection. The notion of electroencephalographic complexity is a valid and reliable method of quantifying the degree of isolation of brain regions due to AD pathology. Recently permutation entropy, which is a methodology of transforming the signal data into symbolic sequences and then computing the frequency distribution of symbolic patterns, gained great attention and was applied in seizure detection and computation of consciousness. The current study aims to investigate whether this complexity marker would be suitable to be applied in dementia research towards the quantification of the degree of cognitive deterioration due to disconnection of brain regions. The promising results indicate that permutation entropy on posterior regions (parieto-occipital areas) abnormally increases during mild dementia and is negatively correlated with the level of cognitive dysfunction, as estimated by the Mini Mental State Examination. Therefore, it may be a fast, accurate and simple tool for screening elderly population prone in Alzheimer.

Published in:

Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on

Date of Conference:

11-13 Nov. 2012