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

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...

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Bibliographic Details
Main Authors: Ke eZeng, Yinghua eWang, Gaoxiang eOuyang, Zhijie eBian, Lei eWang, Xiaoli eLi
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
diabetes
graph analysis
amnestic mild cognitive impairment (aMCI)
Resting state Electroencephalography (rsEEG)
phase lag index (PLI)
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00133/full

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http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00133/full

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