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1800 Total Publications

Intrinsic neurocognitive network connectivity differences between normal aging and mild cognitive impairment are associated with cognitive status and age
Sullivan, Margot D, Anderson, John AE, Turner, Gary R, Spreng, R Nathan and Initiative, Alzheimer’s Disease Neuroimaging
PMID: 30391818 ; 2018; Journal Neurobiology of aging; AW5H3KFUdzjauPDbjhv0
Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative
Veitch, D. P., Weiner, M. W., Aisen, P. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D., Jack, C. R., Jr., Jagust, W., Morris, J. C., Petersen, R. C., Saykin, A. J., Shaw, L. M., Toga, A. W. and Trojanowski, J. Q.
PMID: 30321505 ; 2018; Journal Alzheimers Dement; AW5H3KFUdzjauPDbjhv4
Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis
Zhou, T., Thung, K. H., Zhu, X. and Shen, D.
PMID: 30381863 ; 2018; Journal Hum Brain Mapp; AW5H3oAowAl_G9zjEvjY
A comparison of publicly available linear MRI stereotaxic registration techniques
M. Dadar, V. S. Fonov and D. L. Collins
2018; Journal Neuroimage; vol. 174; pp. 191-200; AWUW0BZZdzjauPDbjht4 doi:10.1016/j.neuroimage.2018.03.025
FLCRM: Functional linear cox regression model
D. Kong, J. G. Ibrahim, E. Lee and H. Zhu
PMCID:5832538 ; 2018; Journal Biometrics; vol. 74; no. 1; pp. 109-117; AWUW5r2FdzjauPDbjhue doi:10.1111/biom.12748
Genome-wide association study identifies two loci influencing plasma neurofilament light levels
J. Q. Li, X. Z. Yuan, H. Y. Li, X. P. Cao, J. T. Yu, L. Tan and W. A. Chen
PMCID:5946407 ; 2018; Journal BMC Med Genomics; vol. 11; no. 1; pp. 47; AWUW5r2FdzjauPDbjhuh doi:10.1186/s12920-018-0364-8
Increasing Inaccuracy of Self-Reported Subjective Cognitive Complaints Over 24 Months in Empirically Derived Subtypes of Mild Cognitive Impairment
Edmonds, Emily C, Weigand, Alexandra J, Thomas, Kelsey R, Eppig, Joel, Delano-Wood, Lisa, Galasko, Douglas R, Salmon, David P and Bondi, Mark W
PMID: 30278855 ; 2018; Journal Journal of the International Neuropsychological Society; vol. 24; no. 8; pp. 842-853; AW5HwZDTMOwVf_qbJr_u
Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis
M. Liu, D. Cheng, K. Wang and Y. Wang
2018; Journal Neuroinformatics; AWUW5A4cdzjauPDbjht_ doi:10.1007/s12021-018-9370-4
Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study
V. R. Varma, A. M. Oommen, S. Varma, R. Casanova, Y. An, R. M. Andrews, R. O'Brien, O. Pletnikova, J. C. Troncoso, J. Toledo, R. Baillie, M. Arnold, G. Kastenmueller, K. Nho, P. M. Doraiswamy, A. J. Saykin, R. Kaddurah-Daouk, C. Legido-Quigley and M. Thambisetty
PMCID:5784884 ; 2018; Journal PLoS Med; vol. 15; no. 1; pp. e1002482; AWUW5A4cdzjauPDbjhuD doi:10.1371/journal.pmed.1002482