Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure.

نویسندگان

  • Daniel Abásolo
  • Roberto Hornero
  • Carlos Gómez
  • María García
  • Miguel López
چکیده

In this study we have investigated the electroencephalogram (EEG) background activity in patients with Alzheimer's disease (AD) using non-linear analysis methods. We calculated the Lempel-Ziv (LZ) complexity - applying two different sequence conversion methods - and the central tendency measure (CTM) of the EEG in 11 AD patients and 11 age-matched control subjects. CTM quantifies the degree of variability, while LZ complexity reflects the arising rate of new patterns along with the EEG time series. We did not find significant differences between AD patients and control subjects' EEGs with CTM. On the other hand, AD patients had significantly lower LZ complexity values (p<0.01) at electrodes P3 and O1 with a two-symbol sequence conversion, and P3, P4, O1 and T5 using three symbols. Our results show a decreased complexity of EEG patterns in AD patients. In addition, we obtained 90.9% sensitivity and 72.7% specificity at O1, and 72.7% sensitivity and 90.9% specificity at P3 and P4. These findings suggest that LZ complexity may contribute to increase the insight into brain dysfunction in AD in ways which are not possible with more classical and conventional statistical methods.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Electroencephalogram Lempel-Ziv Complexity analysis in Alzheimer’s Disease with different Coarse Graining Techniques

This work explores the possible benefits of adopting k-means as a coarse graining technique (CGT) when measuring electroencephalograms (EEG) complexity using the Lempel-Ziv (LZ) algorithm for the diagnosis of Alzheimer’s disease (AD). A significant (p<0.01) complexity decrease between AD patients and control subjects is identified at Occipital, Parietal and Temporal regions of the brain. An acc...

متن کامل

Non-linear analysis of EEG and MEG in patients with Alzheimer’s disease

The aim of the present study is to show the utility of non-linear methods to analyse the electroencephalogram (EEG) and magnetoencephalogram (MEG) in patients with Alzheimer’s disease (AD). The following non-linear methods have been applied to study the EEG and MEG background activity in AD patients and control subjects: approximate entropy, sample entropy, multiscale entropy, auto-mutual infor...

متن کامل

Investigation of Alzheimer’s Disease EEG Frequency Components with Lempel-Ziv Complexity

This pilot study applied Lempel-Ziv Complexity (LZC) to 22 resting EEG signals, collected using the 10-20 international system, from 11 patients with Alzheimer’s disease (AD) and 11 age-matched controls. This allowed for frequency band analysis as the EEG signals were first prefiltered with a third order Hamming window in the ranges F to F+WHz with both F and W equal to 1-30Hz respectively. Con...

متن کامل

Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease.

The aim of the present study is to show the usefulness of nonlinear methods to analyse the electroencephalogram (EEG) and magnetoencephalogram (MEG) in patients with Alzheimer's disease (AD). The following nonlinear methods have been applied to study the EEG and MEG background activity in AD patients and control subjects: approximate entropy, sample entropy, multiscale entropy, auto-mutual info...

متن کامل

Assessing the Effects of Alzheimer’s disease on EEG Signals Using the Entropy Measure: a Meta-Analysis

Introduction and Aims: Alzheimer’s disease is the most prevalent neurodegenerative disorder and a type of dementia. 80% of dementia in older adults is because of Alzheimer’s disease. According to multiple research articles, Alzheimer's has several changes in EEG signals such as slowing of rhythms, reduction in complexity and reduction in functional associations, and disordered functional commun...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Medical engineering & physics

دوره 28 4  شماره 

صفحات  -

تاریخ انتشار 2006