PMID- 34790266
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231108
IS  - 1871-4080 (Print)
IS  - 1871-4099 (Electronic)
IS  - 1871-4080 (Linking)
VI  - 15
IP  - 6
DP  - 2021 Dec
TI  - Coupling feature extraction method of resting state EEG Signals from amnestic 
      mild cognitive impairment with type 2 diabetes mellitus based on weight 
      permutation conditional mutual information.
PG  - 987-997
LID - 10.1007/s11571-021-09682-1 [doi]
AB  - This study aimed to find a good coupling feature extraction method to effectively 
      analyze resting state EEG signals (rsEEG) of amnestic mild cognitive 
      impairment(aMCI) with type 2 diabetes mellitus(T2DM) and normal control (NC) with 
      T2DM. A method of EEG signal coupling feature extraction based on weight 
      permutation conditional mutual information (WPCMI) was proposed in this research. 
      With the WPCMI method, coupling feature strength of two time series in Alpha1, 
      Alpha2, Beta1, Beta2 and Gamma bands for aMCI with T2DM and NC with T2DM could be 
      extracted respectively. Then selected three frequency bands coupling feature 
      matrix with the help of multi-spectral image transformation method to map it as 
      spectral image characteristics. And finally classified these characteristics 
      through the convolution neural network method(CNN). For aMCI with T2DM and NC 
      with T2DM, the highest classification accuracy of 96%, 95%, 95% could be achieved 
      respectively in the combination of three frequency bands (Alpha1, Alpha2, Gamma), 
      (Beta1, Beta2 and Gamma) and (Alpha2, Beta1, Beta2). This WPCMI method 
      highlighted the coupling dynamic characteristics of EEG signals, and its 
      classification performance was better than all previous methods in aMCI with T2DM 
      diagnosis field. WPCMI method could be used as an effective biomarker to 
      distinguish EEG signals of aMCI with T2DM and NC with T2DM. The coupling feature 
      extraction method used in this paper provided a new perspective for the EEG 
      analysis of aMCI with T2DM.
CI  - (c) The Author(s), under exclusive licence to Springer Nature B.V. 2021.
FAU - Liu, Yijun
AU  - Liu Y
AD  - School of Science, Yanshan University, Qinhuangdao, China. GRID: grid.413012.5. 
      ISNI: 0000 0000 8954 0417
AD  - School of Information Science and Engineering, Yanshan University, Qinhuangdao, 
      China. GRID: grid.413012.5. ISNI: 0000 0000 8954 0417
FAU - Xu, Xiaodong
AU  - Xu X
AD  - School of Information Science and Engineering, Yanshan University, Qinhuangdao, 
      China. GRID: grid.413012.5. ISNI: 0000 0000 8954 0417
FAU - Zhou, Yanhong
AU  - Zhou Y
AD  - School of Mathematics and Information Science and Technology, Hebei Normal 
      University of Science and Technology, Qinhuangdao, China. GRID: grid.412024.1. 
      ISNI: 0000 0001 0507 4242
FAU - Xu, Jian
AU  - Xu J
AD  - School of Information Science and Engineering, Yanshan University, Qinhuangdao, 
      China. GRID: grid.413012.5. ISNI: 0000 0000 8954 0417
FAU - Dong, Xianling
AU  - Dong X
AD  - Department of Biomedical Engineering, Chengde Medical University, Chengde, China. 
      GRID: grid.413851.a. ISNI: 0000 0000 8977 8425
FAU - Li, Xiaoli
AU  - Li X
AD  - The National Key Laboratory of Cognitive Neuroscience and Learning, Beijing 
      Normal University, Beijing, China. GRID: grid.20513.35. ISNI: 0000 0004 1789 9964
FAU - Yin, Shimin
AU  - Yin S
AD  - Department of Neurology, The Rocket Force Hospital of Chinese People's Liberation 
      Army, Beijing, China. GRID: grid.488137.1. ISNI: 0000 0001 2267 2324
FAU - Wen, Dong
AU  - Wen D
AD  - Institute of Artificial Intelligence, University of Science and Technology 
      Beijing, Beijing, China. GRID: grid.69775.3a. ISNI: 0000 0004 0369 0705
LA  - eng
PT  - Journal Article
DEP - 20210508
PL  - Netherlands
TA  - Cogn Neurodyn
JT  - Cognitive neurodynamics
JID - 101306907
PMC - PMC8572246
OTO - NOTNLM
OT  - Amnestic mild cognitive impairment with type 2 diabetes mellitus
OT  - Coupling feature
OT  - Resting state EEG signals
OT  - Weight permutation conditional mutual information
EDAT- 2021/11/19 06:00
MHDA- 2021/11/19 06:01
PMCR- 2022/12/01
CRDT- 2021/11/18 06:58
PHST- 2021/01/31 00:00 [received]
PHST- 2021/03/28 00:00 [revised]
PHST- 2021/04/19 00:00 [accepted]
PHST- 2021/11/18 06:58 [entrez]
PHST- 2021/11/19 06:00 [pubmed]
PHST- 2021/11/19 06:01 [medline]
PHST- 2022/12/01 00:00 [pmc-release]
AID - 9682 [pii]
AID - 10.1007/s11571-021-09682-1 [doi]
PST - ppublish
SO  - Cogn Neurodyn. 2021 Dec;15(6):987-997. doi: 10.1007/s11571-021-09682-1. Epub 2021 
      May 8.