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Journal Abstract Search

209 related items for PubMed ID: 32803660

  • 1. Endocytosis-pathway polygenic scores affects the hippocampal network connectivity and individualized identification across the high-risk of Alzheimer's disease.
    Zhu Y, Zang F, Liu X, Fan D, Zhang Q, Ren Q, Xie C, Alzheimer’s Disease Neuroimaging Initiative.
    Brain Imaging Behav; 2021 Jun; 15(3):1155-1169. PubMed ID: 32803660
    [Abstract] [Full Text] [Related]

  • 2. Functional Connectivity between the Resting-State Olfactory Network and the Hippocampus in Alzheimer's Disease.
    Lu J, Testa N, Jordan R, Elyan R, Kanekar S, Wang J, Eslinger P, Yang QX, Zhang B, Karunanayaka PR.
    Brain Sci; 2019 Nov 25; 9(12):. PubMed ID: 31775369
    [Abstract] [Full Text] [Related]

  • 3. Altered Functional Connectivity of the Basal Nucleus of Meynert in Subjective Cognitive Impairment, Early Mild Cognitive Impairment, and Late Mild Cognitive Impairment.
    Xu W, Rao J, Song Y, Chen S, Xue C, Hu G, Lin X, Chen J.
    Front Aging Neurosci; 2021 Nov 25; 13():671351. PubMed ID: 34248603
    [Abstract] [Full Text] [Related]

  • 4. The use of hippocampal grading as a biomarker for preclinical and prodromal Alzheimer's disease.
    Morrison C, Dadar M, Shafiee N, Collins DL, For Alzheimer's Disease Neuroimaging Initiative.
    Hum Brain Mapp; 2023 Jun 01; 44(8):3147-3157. PubMed ID: 36939138
    [Abstract] [Full Text] [Related]

  • 5. Associations of Pulse and Blood Pressure with Hippocampal Volume by APOE and Cognitive Phenotype: The Alzheimer's Disease Neuroimaging Initiative (ADNI).
    Ngwa JS, Fungwe TV, Ntekim O, Allard JS, Johnson SM, Castor C, Graham L, Nadarajah S, Gillum RF, Obisesan TO, Alzheimer’s Disease Neuroimaging Initiative.
    Dement Geriatr Cogn Disord; 2018 Jun 01; 45(1-2):66-78. PubMed ID: 29694964
    [Abstract] [Full Text] [Related]

  • 6. Morphological and Microstructural Changes of the Hippocampus in Early MCI: A Study Utilizing the Alzheimer's Disease Neuroimaging Initiative Database.
    Lee P, Ryoo H, Park J, Jeong Y, Alzheimer's Disease Neuroimaging Initiative.
    J Clin Neurol; 2017 Apr 01; 13(2):144-154. PubMed ID: 28176504
    [Abstract] [Full Text] [Related]

  • 7. Comparing different algorithms for the course of Alzheimer's disease using machine learning.
    Tang X, Liu J.
    Ann Palliat Med; 2021 Sep 01; 10(9):9715-9724. PubMed ID: 34628897
    [Abstract] [Full Text] [Related]

  • 8. Rostral-Caudal Hippocampal Functional Convergence Is Reduced Across the Alzheimer's Disease Spectrum.
    Therriault J, Wang S, Mathotaarachchi S, Pascoal TA, Parent M, Beaudry T, Shin M, Al B, Kang MS, Ng KP, Dansereau C, Park MTM, Fonov V, Carbonell F, Zimmer E, Chakravarty MM, Bellec P, Gauthier S, Rosa-Neto P, Alzheimer’s Disease Neuroimaging Initiative.
    Mol Neurobiol; 2019 Dec 01; 56(12):8336-8344. PubMed ID: 31230260
    [Abstract] [Full Text] [Related]

  • 9. Default Mode Network Functional Connectivity in Early and Late Mild Cognitive Impairment: Results From the Alzheimer's Disease Neuroimaging Initiative.
    Lee ES, Yoo K, Lee YB, Chung J, Lim JE, Yoon B, Jeong Y, Alzheimer’s Disease Neuroimaging Initiative.
    Alzheimer Dis Assoc Disord; 2016 Dec 01; 30(4):289-296. PubMed ID: 26840545
    [Abstract] [Full Text] [Related]

  • 10. Hippocampal grading provides higher classification accuracy for those in the AD trajectory than hippocampal volume.
    Morrison C, Dadar M, Shafiee N, Collins DL, for Alzheimer's Disease Neuroimaging Initiative.
    Hum Brain Mapp; 2023 Aug 15; 44(12):4623-4633. PubMed ID: 37357974
    [Abstract] [Full Text] [Related]

  • 11. Changes in thalamic connectivity in the early and late stages of amnestic mild cognitive impairment: a resting-state functional magnetic resonance study from ADNI.
    Cai S, Huang L, Zou J, Jing L, Zhai B, Ji G, von Deneen KM, Ren J, Ren A, Alzheimer’s Disease Neuroimaging Initiative.
    PLoS One; 2015 Aug 15; 10(2):e0115573. PubMed ID: 25679386
    [Abstract] [Full Text] [Related]

  • 12. Brain controllability distinctiveness between depression and cognitive impairment.
    Fang F, Gao Y, Schulz PE, Selvaraj S, Zhang Y.
    J Affect Disord; 2021 Nov 01; 294():847-856. PubMed ID: 34375212
    [Abstract] [Full Text] [Related]

  • 13. A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging.
    Forouzannezhad P, Abbaspour A, Li C, Fang C, Williams U, Cabrerizo M, Barreto A, Andrian J, Rishe N, Curiel RE, Loewenstein D, Duara R, Adjouadi M.
    J Neurosci Methods; 2020 Mar 01; 333():108544. PubMed ID: 31838182
    [Abstract] [Full Text] [Related]

  • 14. Altered amplitude of low-frequency fluctuations in early and late mild cognitive impairment and Alzheimer's disease.
    Liang P, Xiang J, Liang H, Qi Z, Li K, Alzheimer's Disease NeuroImaging Initiative.
    Curr Alzheimer Res; 2014 May 01; 11(4):389-98. PubMed ID: 24720892
    [Abstract] [Full Text] [Related]

  • 15. A Multi-Cohort Study of ApoE ɛ4 and Amyloid-β Effects on the Hippocampus in Alzheimer's Disease.
    Khan W, Giampietro V, Banaschewski T, Barker GJ, Bokde AL, Büchel C, Conrod P, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Lemaître H, Nees F, Paus T, Pausova Z, Rietschel M, Smolka MN, Ströhle A, Gallinat J, Vellas B, Soininen H, Kloszewska I, Tsolaki M, Mecocci P, Spenger C, Villemagne VL, Masters CL, Muehlboeck JS, Bäckman L, Fratiglioni L, Kalpouzos G, Wahlund LO, Schumann G, Lovestone S, Williams SC, Westman E, Simmons A, Alzheimer–s Disease Neuroimaging Initiative, AddNeuroMed Consortium, Australian, Imaging, Biomarkers, and Lifestyle Study Research Group, IMAGEN consortium.
    J Alzheimers Dis; 2017 May 01; 56(3):1159-1174. PubMed ID: 28157104
    [Abstract] [Full Text] [Related]

  • 16. Mechanisms of functional compensation, delineated by eigenvector centrality mapping, across the pathophysiological continuum of Alzheimer's disease.
    Skouras S, Falcon C, Tucholka A, Rami L, Sanchez-Valle R, Lladó A, Gispert JD, Molinuevo JL.
    Neuroimage Clin; 2019 May 01; 22():101777. PubMed ID: 30913531
    [Abstract] [Full Text] [Related]

  • 17. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
    Ramzan F, Khan MUG, Rehmat A, Iqbal S, Saba T, Rehman A, Mehmood Z.
    J Med Syst; 2019 Dec 18; 44(2):37. PubMed ID: 31853655
    [Abstract] [Full Text] [Related]

  • 18. Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment.
    Goryawala M, Zhou Q, Barker W, Loewenstein DA, Duara R, Adjouadi M.
    Comput Intell Neurosci; 2015 Dec 18; 2015():865265. PubMed ID: 26101520
    [Abstract] [Full Text] [Related]

  • 19. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.
    Liu M, Li F, Yan H, Wang K, Ma Y, Alzheimer’s Disease Neuroimaging Initiative, Shen L, Xu M.
    Neuroimage; 2020 Mar 18; 208():116459. PubMed ID: 31837471
    [Abstract] [Full Text] [Related]

  • 20. Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer's disease.
    Chong JSX, Liu S, Loke YM, Hilal S, Ikram MK, Xu X, Tan BY, Venketasubramanian N, Chen CL, Zhou J.
    Brain; 2017 Nov 01; 140(11):3012-3022. PubMed ID: 29053778
    [Abstract] [Full Text] [Related]

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