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 (MCI). This study investigates 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 func...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Front Comput Neurosci
Egile Nagusiak: Zeng, Ke, Wang, Yinghua, Ouyang, Gaoxiang, Bian, Zhijie, Wang, Lei, Li, Xiaoli
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Frontiers Media S.A. 2015
Gaiak:
Neuroscience
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4624867/
https://ncbi.nlm.nih.gov/pubmed/26578946
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2015.00133
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