Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals.

ABSTRACT: The oscillatory patterns of electroencephalography (EEG), during resting states, are informative and helpful in understanding the functional states of brain network and their contribution to behavioral performances. The aim of this study is to characterize the functional brain network alterations in patients with amnestic mild cognitive impairment (aMCI). To this end, rsEEG signals were recorded before and after a cognitive task. Functional connectivity metrics were calculated using debiased weighted phase lag index (DWPLI). Topological features of the functional connectivity network were analyzed using both the classical graph approach and minimum spanning tree (MST) algorithm. Subsequently, the network and connectivity values together with Mini-Mental State Examination cognitive test wer

SUBMITTER: Youssef N 

PROVIDER: S-EPMC8579961 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature