The use of low-density EEG for the classification of PPA and MCI

The use of low-density EEG for the classification of PPA and MCI

ObjectiveDissociating Primary Progressive Aphasia (PPA) from Mild Cognitive Impairment (MCI) is an important, yet challenging task. Given the need for low-cost and time-efficient classification, we used low-density electroencephalography (EEG) recordings to automatically classify PPA, MCI and health...

Full description

Saved in:
Bibliographic Details
Main Authors: Panteleimon Chriskos, Kyriaki Neophytou, Christos A. Frantzidis, Jessica Gallegos, Alexandros Afthinos, Chiadi U. Onyike, Argye Hillis, Panagiotis D. Bamidis, Kyrana Tsapkini
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Human Neuroscience
Subjects:
primary progressive aphasia
mild cognitive impairment
classification
electroencephalography (EEG)
functional connectivity
energy rhythms
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1526554/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2025.1526554/full

Similar Items