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2110 Total Publications

Hypertension is associated with worse cognitive function and hippocampal hypometabolism in Alzheimer's disease
I. Moonga, F. Niccolini, H. Wilson, G. Pagano and M. Politis
2017; Journal European Journal of Neurology; vol. 24; no. 9; pp. 1173-1182; doi:10.1111/ene.13374
Neuropsychiatric symptoms predict hypometabolism in preclinical Alzheimer disease
K. P. Ng, T. A. Pascoal, S. Mathotaarachchi, C. O. Chung, A. L. Benedet, M. Shin, M. S. Kang, X. Li, M. Ba, N. Kandiah, P. Rosa-Neto, S. Gauthier and I. Alzheimer's Disease Neuroimaging
PMCID:5419982 ; 2017; Journal Neurology; vol. 88; no. 19; pp. 1814-1821; doi:10.1212/WNL.0000000000003916
FGWAS: Functional genome wide association analysis
C. Huang, P. Thompson, Y. Wang, Y. Yu, J. Zhang, D. Kong, R. R. Colen, R. C. Knickmeyer, H. Zhu and I. Alzheimer's Disease Neuroimaging
2017; Journal Neuroimage; vol. 159; pp. 107-121; doi:10.1016/j.neuroimage.2017.07.030
Sex differences in the association between AD biomarkers and cognitive decline
M. E. I. Koran, M. Wagener, T. J. Hohman and I. Alzheimer's Neuroimaging
PMCID:4972701 ; 2017; Journal Brain Imaging Behav; vol. 11; no. 1; pp. 205-213; doi:10.1007/s11682-016-9523-8
Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score
R. S. Desikan, C. C. Fan, Y. Wang, A. J. Schork, H. J. Cabral, L. A. Cupples, W. K. Thompson, L. Besser, W. A. Kukull, D. Holland, C. H. Chen, J. B. Brewer, D. S. Karow, K. Kauppi, A. Witoelar, C. M. Karch, L. W. Bonham, J. S. Yokoyama, H. J. Rosen, B. L. Miller, W. P. Dillon, D. M. Wilson, C. P. Hess, M. Pericak-Vance, J. L. Haines, L. A. Farrer, R. Mayeux, J. Hardy, A. M. Goate, B. T. Hyman, G. D. Schellenberg, L. K. McEvoy, O. A. Andreassen and A. M. Dale
PMCID:5360219 ; 2017; Journal PLoS Med; vol. 14; no. 3; pp. e1002258; doi:10.1371/journal.pmed.1002258
Plasma neurofilament light chain levels in Alzheimer's disease.
W. Zhou, J. Zhang, F. Ye, G. Xu, H. Su, Y. Su, X. Zhang and I. Alzheimer's Disease Neuroimaging
PMID: 28428015 ; 2017; Journal Neurosci Lett; vol. 650; pp. 60-64; doi:10.1016/j.neulet.2017.04.027
Prediction of Conversion to Alzheimer’s Disease with Longitudinal Measures and Time-To-Event Data
K. Li, W. Chan, R. S. Doody, J. Quinn, S. Luo and I. Alzheimer's Disease Neuroimaging
PMID: 28436391 ; PMCID:5477671 ; 2017; Journal J Alzheimers Dis; vol. 58; no. 2; pp. 361-371; doi:10.3233/JAD-161201
MRI-based classification models in prediction of mild cognitive impairment and dementia in late-life depression
A. K. Lebedeva, E. Westman, T. Borza, M. K. Beyer, K. Engedal, D. Aarsland, G. Selbaek and A. K. Haberg
PMID: 28210220 ; PMCID:5288688 ; 2017; Journal Front Aging Neurosci; vol. 9; pp. 13; doi:10.3389/fnagi.2017.00013
Power analysis to detect treatment effects in longitudinal clinical trials for Alzheimer’s disease
Z. Huang, G. Muniz-Terrera and B. D. M. Tom
PMID: 28890916 ; PMCID:5590710 ; 2017; Journal Alzheimers Dement (N Y); vol. 3; no. 3; pp. 360-366; doi:10.1016/j.trci.2017.04.007
A comparison of accurate automatic hippocampal segmentation methods
A. Zandifar, V. Fonov, P. Coupe, J. Pruessner, D. L. Collins and I. Alzheimer's Disease Neuroimaging
PMID: 28404458 ; 2017; Journal Neuroimage; vol. 155; pp. 383-393; doi:10.1016/j.neuroimage.2017.04.018