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Journal Abstract Search

224 related items for PubMed ID: 31522127

  • 1. Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease.
    Pusil S, Dimitriadis SI, López ME, Pereda E, Maestú F.
    Neuroimage Clin; 2019; 24():101972. PubMed ID: 31522127
    [Abstract] [Full Text] [Related]

  • 2. Selective impairment of hippocampus and posterior hub areas in Alzheimer's disease: an MEG-based multiplex network study.
    Yu M, Engels MMA, Hillebrand A, van Straaten ECW, Gouw AA, Teunissen C, van der Flier WM, Scheltens P, Stam CJ.
    Brain; 2017 May 01; 140(5):1466-1485. PubMed ID: 28334883
    [Abstract] [Full Text] [Related]

  • 3. 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 01; 10(3):799-817. PubMed ID: 26363784
    [Abstract] [Full Text] [Related]

  • 4. Hypersynchronization in mild cognitive impairment: the 'X' model.
    Pusil S, López ME, Cuesta P, Bruña R, Pereda E, Maestú F.
    Brain; 2019 Dec 01; 142(12):3936-3950. PubMed ID: 31633176
    [Abstract] [Full Text] [Related]

  • 5. Short timescale abnormalities in the states of spontaneous synchrony in the functional neural networks in Alzheimer's disease.
    Sitnikova TA, Hughes JW, Ahlfors SP, Woolrich MW, Salat DH.
    Neuroimage Clin; 2018 Dec 01; 20():128-152. PubMed ID: 30094163
    [Abstract] [Full Text] [Related]

  • 6. Temporal and Spatial Analysis of Alzheimer's Disease Based on an Improved Convolutional Neural Network and a Resting-State FMRI Brain Functional Network.
    Sun H, Wang A, He S.
    Int J Environ Res Public Health; 2022 Apr 08; 19(8):. PubMed ID: 35457373
    [Abstract] [Full Text] [Related]

  • 7. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
    Spasov S, Passamonti L, Duggento A, Liò P, Toschi N, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage; 2019 Apr 01; 189():276-287. PubMed ID: 30654174
    [Abstract] [Full Text] [Related]

  • 8. Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia.
    Wang M, Jiang J, Yan Z, Alberts I, Ge J, Zhang H, Zuo C, Yu J, Rominger A, Shi K, Alzheimer’s Disease Neuroimaging Initiative.
    Eur J Nucl Med Mol Imaging; 2020 Nov 01; 47(12):2753-2764. PubMed ID: 32318784
    [Abstract] [Full Text] [Related]

  • 9. Language Network Connectivity Increases in Early Alzheimer's Disease.
    Pistono A, Senoussi M, Guerrier L, Rafiq M, Giméno M, Péran P, Jucla M, Pariente J.
    J Alzheimers Dis; 2021 Nov 01; 82(1):447-460. PubMed ID: 34024825
    [Abstract] [Full Text] [Related]

  • 10. Network Disruption in the Preclinical Stages of Alzheimer's Disease: From Subjective Cognitive Decline to Mild Cognitive Impairment.
    López-Sanz D, Garcés P, Álvarez B, Delgado-Losada ML, López-Higes R, Maestú F.
    Int J Neural Syst; 2017 Dec 01; 27(8):1750041. PubMed ID: 28958179
    [Abstract] [Full Text] [Related]

  • 11. Small World Index in Default Mode Network Predicts Progression from Mild Cognitive Impairment to Dementia.
    Miraglia F, Vecchio F, Marra C, Quaranta D, Alù F, Peroni B, Granata G, Judica E, Cotelli M, Rossini PM.
    Int J Neural Syst; 2020 Feb 01; 30(2):2050004. PubMed ID: 31957512
    [Abstract] [Full Text] [Related]

  • 12. Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Multivariate Follow-Up Study.
    López ME, Turrero A, Cuesta P, López-Sanz D, Bruña R, Marcos A, Gil P, Yus M, Barabash A, Cabranes JA, Maestú F, Fernández A.
    J Alzheimers Dis; 2016 Mar 05; 52(1):133-43. PubMed ID: 27060953
    [Abstract] [Full Text] [Related]

  • 13. 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 Mar 05; 14(9):937-950. PubMed ID: 28290245
    [Abstract] [Full Text] [Related]

  • 14. Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes: A multicenter study.
    Moguilner S, García AM, Perl YS, Tagliazucchi E, Piguet O, Kumfor F, Reyes P, Matallana D, Sedeño L, Ibáñez A.
    Neuroimage; 2021 Jan 15; 225():117522. PubMed ID: 33144220
    [Abstract] [Full Text] [Related]

  • 15. Altered functional brain networks in amnestic mild cognitive impairment: a resting-state fMRI study.
    Cai S, Chong T, Peng Y, Shen W, Li J, von Deneen KM, Huang L, Alzheimer’s Disease Neuroimaging Initiative.
    Brain Imaging Behav; 2017 Jun 15; 11(3):619-631. PubMed ID: 26972578
    [Abstract] [Full Text] [Related]

  • 16. Choroid plexus volumes and auditory verbal learning scores are associated with conversion from mild cognitive impairment to Alzheimer's disease.
    Pearson MJ, Wagstaff R, Williams RJ, Alzheimer's Disease Neuroimaging Initiative.
    Brain Behav; 2024 Jul 15; 14(7):e3611. PubMed ID: 38956818
    [Abstract] [Full Text] [Related]

  • 17. A novel joint HCPMMP method for automatically classifying Alzheimer's and different stage MCI patients.
    Sheng J, Wang B, Zhang Q, Liu Q, Ma Y, Liu W, Shao M, Chen B.
    Behav Brain Res; 2019 Jun 03; 365():210-221. PubMed ID: 30836158
    [Abstract] [Full Text] [Related]

  • 18. 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 Jun 03; 16():343-354. PubMed ID: 28861336
    [Abstract] [Full Text] [Related]

  • 19. Influence of the APOE ε4 allele and mild cognitive impairment diagnosis in the disruption of the MEG resting state functional connectivity in sources space.
    Cuesta P, Garcés P, Castellanos NP, López ME, Aurtenetxe S, Bajo R, Pineda-Pardo JA, Bruña R, Marín AG, Delgado M, Barabash A, Ancín I, Cabranes JA, Fernandez A, Del Pozo F, Sancho M, Marcos A, Nakamura A, Maestú F.
    J Alzheimers Dis; 2015 Jun 03; 44(2):493-505. PubMed ID: 25281603
    [Abstract] [Full Text] [Related]

  • 20. Cerebrovascular disease influences functional and structural network connectivity in patients with amnestic mild cognitive impairment and Alzheimer's disease.
    Vipin A, Loke YM, Liu S, Hilal S, Shim HY, Xu X, Tan BY, Venketasubramanian N, Chen CL, Zhou J.
    Alzheimers Res Ther; 2018 Aug 18; 10(1):82. PubMed ID: 30121086
    [Abstract] [Full Text] [Related]

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