Abstract
We characterized prion disease by comparing brain functional connectivity network (BFCN), which were constructed by 16-ch scalp-recorded electroencephalograms (EEGs). The connectivity between each pair of nodes (electrodes) were computed by synchronization likelihood (SL). The BFCN was applied to graph theory to discriminate prion disease patients from healthy elderlies and dementia groups.
Original language | English |
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Pages (from-to) | 427-430 |
Number of pages | 4 |
Journal | IEICE Transactions on Information and Systems |
Volume | E106D |
Issue number | 3 |
DOIs | |
State | Published - Mar 2023 |
Keywords
- brain functional connectivity network
- dementia
- EEG
- graph theory
- prion disease