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Journal Abstract Search

546 related items for PubMed ID: 23643516

  • 1. Decreased functional connectivity of the amygdala in Alzheimer's disease revealed by resting-state fMRI.
    Yao H, Liu Y, Zhou B, Zhang Z, An N, Wang P, Wang L, Zhang X, Jiang T.
    Eur J Radiol; 2013 Sep; 82(9):1531-8. PubMed ID: 23643516
    [Abstract] [Full Text] [Related]

  • 2. Longitudinal alteration of amygdalar functional connectivity in mild cognitive impairment subjects revealed by resting-state FMRI.
    Yao H, Zhou B, Zhang Z, Wang P, Guo Y, Shang Y, Wang L, Zhang X, An N, Liu Y, Alzheimer’s Disease Neuroimaging Initiative.
    Brain Connect; 2014 Jun; 4(5):361-70. PubMed ID: 24846713
    [Abstract] [Full Text] [Related]

  • 3. Aberrant Functional Connectivity Architecture in Alzheimer's Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis.
    Zhou B, Yao H, Wang P, Zhang Z, Zhan Y, Ma J, Xu K, Wang L, An N, Liu Y, Zhang X.
    Biomed Res Int; 2015 Jun; 2015():495375. PubMed ID: 26167487
    [Abstract] [Full Text] [Related]

  • 4. Impaired functional connectivity of the thalamus in Alzheimer's disease and mild cognitive impairment: a resting-state fMRI study.
    Zhou B, Liu Y, Zhang Z, An N, Yao H, Wang P, Wang L, Zhang X, Jiang T.
    Curr Alzheimer Res; 2013 Sep; 10(7):754-66. PubMed ID: 23905993
    [Abstract] [Full Text] [Related]

  • 5. Impaired Parahippocampus Connectivity in Mild Cognitive Impairment and Alzheimer's Disease.
    Liu J, Zhang X, Yu C, Duan Y, Zhuo J, Cui Y, Liu B, Li K, Jiang T, Liu Y.
    J Alzheimers Dis; 2016 Sep; 49(4):1051-64. PubMed ID: 26599055
    [Abstract] [Full Text] [Related]

  • 6. Resting-state global functional connectivity as a biomarker of cognitive reserve in mild cognitive impairment.
    Franzmeier N, Caballero MÁA, Taylor ANW, Simon-Vermot L, Buerger K, Ertl-Wagner B, Mueller C, Catak C, Janowitz D, Baykara E, Gesierich B, Duering M, Ewers M, Alzheimer’s Disease Neuroimaging Initiative.
    Brain Imaging Behav; 2017 Apr; 11(2):368-382. PubMed ID: 27709513
    [Abstract] [Full Text] [Related]

  • 7. Changes of intranetwork and internetwork functional connectivity in Alzheimer's disease and mild cognitive impairment.
    Zhu H, Zhou P, Alcauter S, Chen Y, Cao H, Tian M, Ming D, Qi H, Wang X, Zhao X, He F, Ni H, Gao W.
    J Neural Eng; 2016 Aug; 13(4):046008. PubMed ID: 27247279
    [Abstract] [Full Text] [Related]

  • 8. Abnormal Resting-State Functional Connectivity Strength in Mild Cognitive Impairment and Its Conversion to Alzheimer's Disease.
    Li Y, Wang X, Li Y, Sun Y, Sheng C, Li H, Li X, Yu Y, Chen G, Hu X, Jing B, Wang D, Li K, Jessen F, Xia M, Han Y.
    Neural Plast; 2016 Aug; 2016():4680972. PubMed ID: 26843991
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  • 10. Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
    Khazaee A, Ebrahimzadeh A, Babajani-Feremi A.
    Brain Imaging Behav; 2016 Sep; 10(3):799-817. PubMed ID: 26363784
    [Abstract] [Full Text] [Related]

  • 11. A study of structural and functional connectivity in early Alzheimer's disease using rest fMRI and diffusion tensor imaging.
    Balachandar R, John JP, Saini J, Kumar KJ, Joshi H, Sadanand S, Aiyappan S, Sivakumar PT, Loganathan S, Varghese M, Bharath S.
    Int J Geriatr Psychiatry; 2015 May; 30(5):497-504. PubMed ID: 24990445
    [Abstract] [Full Text] [Related]

  • 12. Resting-state whole-brain functional connectivity networks for MCI classification using L2-regularized logistic regression.
    Zhang X, Hu B, Ma X, Xu L.
    IEEE Trans Nanobioscience; 2015 Mar; 14(2):237-47. PubMed ID: 25700453
    [Abstract] [Full Text] [Related]

  • 13. A whole-brain computational modeling approach to explain the alterations in resting-state functional connectivity during progression of Alzheimer's disease.
    Demirtaş M, Falcon C, Tucholka A, Gispert JD, Molinuevo JL, Deco G.
    Neuroimage Clin; 2017 Mar; 16():343-354. PubMed ID: 28861336
    [Abstract] [Full Text] [Related]

  • 14. Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer's disease.
    Zhang HY, Wang SJ, Xing J, Liu B, Ma ZL, Yang M, Zhang ZJ, Teng GJ.
    Behav Brain Res; 2009 Jan 30; 197(1):103-8. PubMed ID: 18786570
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  • 17. Differentiated Effective Connectivity Patterns of the Executive Control Network in Progressive MCI: A Potential Biomarker for Predicting AD.
    Cai S, Peng Y, Chong T, Zhang Y, von Deneen KM, Huang L, Alzheimer's Disease Neuroimaging Initiative.
    Curr Alzheimer Res; 2017 Jan 30; 14(9):937-950. PubMed ID: 28290245
    [Abstract] [Full Text] [Related]

  • 18. 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 17; 16(5):056030. PubMed ID: 31112938
    [Abstract] [Full Text] [Related]

  • 19. Structural Connectivity Changes Underlying Altered Working Memory Networks in Mild Cognitive Impairment: A Three-Way Image Fusion Analysis.
    Teipel S, Ehlers I, Erbe A, Holzmann C, Lau E, Hauenstein K, Berger C.
    J Neuroimaging; 2015 Sep 17; 25(4):634-42. PubMed ID: 25354135
    [Abstract] [Full Text] [Related]

  • 20. Network Optimization of Functional Connectivity Within Default Mode Network Regions to Detect Cognitive Decline.
    Chaovalitwongse WA, Won D, Seref O, Borghesani P, Askren MK, Willis S, Grabowski TJ.
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jul 17; 25(7):1079-1089. PubMed ID: 28287976
    [Abstract] [Full Text] [Related]

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