These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 34333062)

  • 1. Nonlinear Phase Synchronization Analysis of EEG Signals in Amnesic Mild Cognitive Impairment with Type 2 Diabetes Mellitus.
    Lu H; Liu J; Gu G; Li X; Yin S; Cui D
    Neuroscience; 2021 Sep; 472():25-34. PubMed ID: 34333062
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Slower EEG alpha generation, synchronization and "flow"-possible biomarkers of cognitive impairment and neuropathology of minor stroke.
    Petrovic J; Milosevic V; Zivkovic M; Stojanov D; Milojkovic O; Kalauzi A; Saponjic J
    PeerJ; 2017; 5():e3839. PubMed ID: 28970969
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Magnitude Squared Coherence Method based on Weighted Canonical Correlation Analysis for EEG Synchronization Analysis in Amnesic Mild Cognitive Impairment of Diabetes Mellitus.
    Cui D; Qi S; Gu G; Li X; Li Z; Wang L; Yin S
    IEEE Trans Neural Syst Rehabil Eng; 2018 Oct; 26(10):1908-1917. PubMed ID: 30072334
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Resting-state EEG coupling analysis of amnestic mild cognitive impairment with type 2 diabetes mellitus by using permutation conditional mutual information.
    Wen D; Bian Z; Li Q; Wang L; Lu C; Li X
    Clin Neurophysiol; 2016 Jan; 127(1):335-348. PubMed ID: 26142876
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Multi-channel Synchronization Analysis of Mild Cognitive Impairment in Type 2 Diabetes Patients].
    Cui D; Liu J; Bian Z; Wang J; Li Q; Li X; Wang L
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Apr; 32(2):279-83. PubMed ID: 26211240
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Complex network analysis of resting state EEG in amnestic mild cognitive impairment patients with type 2 diabetes.
    Zeng K; Wang Y; Ouyang G; Bian Z; Wang L; Li X
    Front Comput Neurosci; 2015; 9():133. PubMed ID: 26578946
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cortical source multivariate EEG synchronization analysis on amnestic mild cognitive impairment in type 2 diabetes.
    Cui D; Liu J; Bian Z; Li Q; Wang L; Li X
    ScientificWorldJournal; 2014; 2014():523216. PubMed ID: 25254248
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network.
    Wen D; Zhou Y; Li P; Zhang P; Li J; Wang Y; Li X; Bian Z; Yin S; Xu Y
    J Neural Eng; 2020 Jun; 17(3):036005. PubMed ID: 32315997
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification of mild cognitive impairment EEG using combined recurrence and cross recurrence quantification analysis.
    Timothy LT; Krishna BM; Nair U
    Int J Psychophysiol; 2017 Oct; 120():86-95. PubMed ID: 28711698
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method.
    Wen D; Li P; Li X; Wei Z; Zhou Y; Pei H; Li F; Bian Z; Wang L; Yin S
    Neural Netw; 2020 Apr; 124():373-382. PubMed ID: 32058892
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inter- and intra-hemispheric EEG coherence in patients with mild cognitive impairment at rest and during working memory task.
    Jiang ZY; Zheng LL
    J Zhejiang Univ Sci B; 2006 May; 7(5):357-64. PubMed ID: 16615165
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique.
    Rangaprakash D
    Comput Biol Med; 2014 Mar; 46():11-21. PubMed ID: 24529201
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature Classification Method of Resting-State EEG Signals From Amnestic Mild Cognitive Impairment With Type 2 Diabetes Mellitus Based on Multi-View Convolutional Neural Network.
    Wen D; Li P; Zhou Y; Sun Y; Xu J; Liu Y; Li X; Li J; Bian Z; Wang L
    IEEE Trans Neural Syst Rehabil Eng; 2020 Aug; 28(8):1702-1709. PubMed ID: 32746302
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A new EEG synchronization strength analysis method: S-estimator based normalized weighted-permutation mutual information.
    Cui D; Pu W; Liu J; Bian Z; Li Q; Wang L; Gu G
    Neural Netw; 2016 Oct; 82():30-8. PubMed ID: 27451314
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classification of ERP signal from amnestic mild cognitive impairment with type 2 diabetes mellitus using single-scale multi-input convolution neural network.
    Wen D; Cheng Z; Li J; Zheng X; Yao W; Dong X; Saripan MI; Li X; Yin S; Zhou Y
    J Neurosci Methods; 2021 Nov; 363():109353. PubMed ID: 34492241
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Alpha spectral power and coherence in the patients with mild cognitive impairment during a three-level working memory task.
    Zheng LL; Jiang ZY; Yu EY
    J Zhejiang Univ Sci B; 2007 Aug; 8(8):584-92. PubMed ID: 17657862
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Brain neural synchronization and functional coupling in Alzheimer's disease as revealed by resting state EEG rhythms.
    Babiloni C; Lizio R; Marzano N; Capotosto P; Soricelli A; Triggiani AI; Cordone S; Gesualdo L; Del Percio C
    Int J Psychophysiol; 2016 May; 103():88-102. PubMed ID: 25660305
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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.
    Liu Y; Xu X; Zhou Y; Xu J; Dong X; Li X; Yin S; Wen D
    Cogn Neurodyn; 2021 Dec; 15(6):987-997. PubMed ID: 34790266
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Study on EEG power and coherence in patients with mild cognitive impairment during working memory task.
    Jiang ZY
    J Zhejiang Univ Sci B; 2005 Dec; 6(12):1213-9. PubMed ID: 16358382
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The potential of the Lempel-Ziv complexity of the EEG in diagnosing cognitive impairment in patients with temporal lobe epilepsy.
    Ren Z; Yue M; Han X; Zhao Z; Wang B; Hong Y; Zhao T; Wang N; Zhao P; Hong Y; Wang Q; Zhao Y
    Epileptic Disord; 2023 Jun; 25(3):331-342. PubMed ID: 36938881
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.