Complex network analysis of resting state EEG in amnestic mild cognitive impairment patients with ty...
Complex network analysis of resting state EEG in amnestic mild cognitive impairment patients with type 2 diabetes
About this item
Full title
Author / Creator
Zeng, Ke , Wang, Yinghua , Ouyang, Gaoxiang , Bian, Zhijie , Wang, Lei and Li, Xiaoli
Publisher
Switzerland: Frontiers Research Foundation
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: Frontiers Research Foundation
Subjects
More information
Scope and Contents
Contents
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 function in subjects with type 2 diabetes (T2D).
In this stu...
Alternative Titles
Full title
Complex network analysis of resting state EEG in amnestic mild cognitive impairment patients with type 2 diabetes
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_965cf70170e545f2b2839f2aba022e3c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_965cf70170e545f2b2839f2aba022e3c
Other Identifiers
ISSN
1662-5188
E-ISSN
1662-5188
DOI
10.3389/fncom.2015.00133
