Abstract / Description of output
Alzheimer's Disease (AD) affects brain activity. Some of these changes may be reflected in magnetoencephalography (MEG) recordings. Since MEGs are considered as the outputs of a nonlinear system (i.e., the brain), nonlinear methods, such as entropy, have been widely used for their analysis. Entropy shows the amount of information or uncertainty of signals. Because of neuronal death, a general effect of lack of neurotransmitter, and loss of connectivity of local neural networks in AD or mild cognitive impairment (MCI), an entropy decrease in MEG signals for AD or MCI patients may be expected. Thus, we evaluate our introduced dispersion entropy (DispEn) and fluctuation‐based DispEn (FDispEn) in the characterization of MEGs for MCI and AD patients vs. controls
Original language | English |
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DOIs | |
Publication status | Published - 1 Jul 2019 |
Event | Alzheimer's Association International Conference - Los Angeles, United States Duration: 14 Jul 2019 → 18 Jul 2019 |
Conference
Conference | Alzheimer's Association International Conference |
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Abbreviated title | AAIC19 |
Country/Territory | United States |
City | Los Angeles |
Period | 14/07/19 → 18/07/19 |