Complex Network Analysis of Resting State EEG in Amnestic Mild Cognitive Impairment Patients with Type 2 Diabetes

Purpose: Diabetes is a great risk factor for dementia and mild cognitive impairment. This study inves-tigates whether complex network-derived features in resting state EEG (rsEEG) could be applied as a biomarker to distinguish amnestic mild cognitive impairment (aMCI) from normal cognitive function...

Description complète

Détails bibliographiques

Auteurs principaux:	Ke eZeng, Yinghua eWang, Gaoxiang eOuyang, Zhijie eBian, Lei eWang, Xiaoli eLi
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2015-10-01
Collection:	Frontiers in Computational Neuroscience
Sujets:	diabetes graph analysis amnestic mild cognitive impairment (aMCI) Resting state Electroencephalography (rsEEG) phase lag index (PLI)
Accès en ligne:	http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00133/full
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!