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 *

122 related articles for article (PubMed ID: 38083569)

  • 1. PLI-Based Connectivity in Resting-EEG is a Robust and Generalizable Feature for Detecting MCI and AD: A Validation on a Diverse Multisite Clinical Dataset.
    Trinh TT; Liu YH; Wu CT; Peng WH; Hou CL; Weng CH; Lee CY
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-6. PubMed ID: 38083569
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Characterizing the fluctuations of dynamic resting-state electrophysiological functional connectivity: reduced neuronal coupling variability in mild cognitive impairment and dementia due to Alzheimer's disease.
    Núñez P; Poza J; Gómez C; Rodríguez-González V; Hillebrand A; Tola-Arribas MA; Cano M; Hornero R
    J Neural Eng; 2019 Sep; 16(5):056030. PubMed ID: 31112938
    [TBL] [Abstract][Full Text] [Related]  

  • 3. PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer's disease.
    Kim NH; Park U; Yang DW; Choi SH; Youn YC; Kang SW
    Sci Rep; 2023 Jun; 13(1):10299. PubMed ID: 37365198
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Resting-State EEG Signal for Major Depressive Disorder Detection: A Systematic Validation on a Large and Diverse Dataset.
    Wu CT; Huang HC; Huang S; Chen IM; Liao SC; Chen CK; Lin C; Lee SH; Chen MH; Tsai CF; Weng CH; Ko LW; Jung TP; Liu YH
    Biosensors (Basel); 2021 Dec; 11(12):. PubMed ID: 34940256
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features.
    Buscema M; Vernieri F; Massini G; Scrascia F; Breda M; Rossini PM; Grossi E
    Artif Intell Med; 2015 May; 64(1):59-74. PubMed ID: 25997573
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic Diagnosis of Mild Cognitive Impairment Based on Spectral, Functional Connectivity, and Nonlinear EEG-Based Features.
    Movahed RA; Rezaeian M
    Comput Math Methods Med; 2022; 2022():2014001. PubMed ID: 35991131
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Single-Channel EEG-Based Approach to Detect Mild Cognitive Impairment via Speech-Evoked Brain Responses.
    Khatun S; Morshed BI; Bidelman GM
    IEEE Trans Neural Syst Rehabil Eng; 2019 May; 27(5):1063-1070. PubMed ID: 30998476
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG.
    Sibilano E; Brunetti A; Buongiorno D; Lassi M; Grippo A; Bessi V; Micera S; Mazzoni A; Bevilacqua V
    J Neural Eng; 2023 Feb; 20(1):. PubMed ID: 36745929
    [No Abstract]   [Full Text] [Related]  

  • 9. Phase lag index and spectral power as QEEG features for identification of patients with mild cognitive impairment in Parkinson's disease.
    Chaturvedi M; Bogaarts JG; Kozak Cozac VV; Hatz F; Gschwandtner U; Meyer A; Fuhr P; Roth V
    Clin Neurophysiol; 2019 Oct; 130(10):1937-1944. PubMed ID: 31445388
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Resting state EEG biomarkers of cognitive decline associated with Alzheimer's disease and mild cognitive impairment.
    Meghdadi AH; Stevanović Karić M; McConnell M; Rupp G; Richard C; Hamilton J; Salat D; Berka C
    PLoS One; 2021; 16(2):e0244180. PubMed ID: 33544703
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
    Ramírez J; Górriz JM; Ortiz A; Martínez-Murcia FJ; Segovia F; Salas-Gonzalez D; Castillo-Barnes D; Illán IA; Puntonet CG;
    J Neurosci Methods; 2018 May; 302():47-57. PubMed ID: 29242123
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals.
    Siuly S; Alcin OF; Kabir E; Sengur A; Wang H; Zhang Y; Whittaker F
    IEEE Trans Neural Syst Rehabil Eng; 2020 Sep; 28(9):1966-1976. PubMed ID: 32746328
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A comparison of resting state EEG and structural MRI for classifying Alzheimer's disease and mild cognitive impairment.
    Farina FR; Emek-Savaş DD; Rueda-Delgado L; Boyle R; Kiiski H; Yener G; Whelan R
    Neuroimage; 2020 Jul; 215():116795. PubMed ID: 32278090
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs.
    Trinh TT; Tsai CF; Hsiao YT; Lee CY; Wu CT; Liu YH
    Front Comput Neurosci; 2021; 15():700467. PubMed ID: 34421565
    [TBL] [Abstract][Full Text] [Related]  

  • 15. M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective.
    Yang S; Bornot JMS; Wong-Lin K; Prasad G
    IEEE Trans Biomed Eng; 2019 Oct; 66(10):2924-2935. PubMed ID: 30762522
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Detection Tool for Mild Cognitive Impairment Patients Based on Eye Movement and Electroencephalogram.
    Jiang J; Yan Z; Sheng C; Wang M; Guan Q; Yu Z; Han Y; Jiang J
    J Alzheimers Dis; 2019; 72(2):389-399. PubMed ID: 31594231
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEG.
    Li Y; Xiao S; Li Y; Li Y; Yang B
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():256-259. PubMed ID: 33017977
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fully automated discrimination of Alzheimer's disease using resting-state electroencephalography signals.
    Ding Y; Chu Y; Liu M; Ling Z; Wang S; Li X; Li Y
    Quant Imaging Med Surg; 2022 Feb; 12(2):1063-1078. PubMed ID: 35111605
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Longitudinal resting-state EEG in amyloid-positive patients along the Alzheimer's disease continuum: considerations for clinical trials.
    Scheijbeler EP; de Haan W; Stam CJ; Twisk JWR; Gouw AA
    Alzheimers Res Ther; 2023 Oct; 15(1):182. PubMed ID: 37858173
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sugihara causality analysis of scalp EEG for detection of early Alzheimer's disease.
    McBride JC; Zhao X; Munro NB; Jicha GA; Schmitt FA; Kryscio RJ; Smith CD; Jiang Y
    Neuroimage Clin; 2015; 7():258-65. PubMed ID: 25610788
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.