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Publications

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3911 Total Publications

Structural interactions within the default mode network identified by Bayesian network analysis in Alzheimer’s disease.
Wang, Y., Chen, K., Yao, L., Jin, Z., & Guo, X.
2013; Journal PloS One; vol. 8; no. 8; pp. e74070; doi:10.1371/journal.pone.0074070

Disease progression model in subjects with mild cognitive impairment from the Alzheimer’s disease neuroimaging initiative: CSF biomarkers predict population subtypes.
Samtani, M. N., Raghavan, N., Shi, Y., Novak, G., Farnum, M., Lobanov, V., … Narayan, V. a.
2013; Journal British Journal of Clinical Pharmacology; vol. 75; no. 1; pp. 146-161; doi:10.1111/j.1365-2125.2012.04308.x

Prediction of Alzheimer’s disease and mild cognitive impairment using cortical morphological patterns.
Wee, C.-Y., Yap, P.-T., & Shen, D.
2013; Journal Human Brain Mapping; vol. 34; no. 12; pp. 3411-3425; doi:10.1002/hbm.22156

Critical ages in the life course of the adult brain: nonlinear subcortical aging.
Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I., Espeseth, T., Reinvang, I., … Walhovd, K. B.
2013; Journal Neurobiology of Aging; vol. 34; no. 10; pp. 2239-47; doi:10.1016/j.neurobiolaging.2013.04.006

Advanced Psychometric Analysis and the Alzheimer's Disease Neuroimaging Initiative: Reports from the 2011 Friday Harbor Conference
Dan Mungas,1 Paul K. Crane,2 Laura E. Gibbons,2 Jennifer J. Manly,3 M. Maria Glymour,4 and Richard N. Jones5
PMID: 23232798 ; PMCID:3532555 ; 2013; Journal Brain Imaging Behavior; vol. 6; no. 4; pp. 485–488; doi:10.1007/s11682-012-9211-2

Alzheimer’s Disease Risk Assessment Using Large-Scale Machine Learning Methods
Casanova, R., Hsu, F.-C., Sink, K. M., Rapp, S. R., Williamson, J. D., Resnick, S. M., & Espeland, M. a.
PMID: 24250789 ; PMCID:3826736 ; 2013; Journal PloS One; vol. 8; pp. e77949; doi:10.1371/journal.pone.0077949

GWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer’s Disease
Cruchaga, C., Kauwe, J. S. K., Harari, O., Jin, S. C., Cai, Y., Karch, C. M., … Goate, A. M.
PMID: 23562540 ; PMCID:3664945 ; 2013; Journal Neuron; vol. 78; no. 2; pp. 256-68; doi:10.1016/j.neuron.2013.02.026

Consistent 4D Brain Extraction of Serial Brain MR Images
Wang Y1, Li G2, Nie J2, Yap PT2, Guo L3, Shen D2.
PMID: 25089172 ; PMCID:4116794 ; 2013; Journal Proc SPIE Int Soc Opt Eng; doi:10.1117/12.2006651

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus
Shi, J., Thompson, P. M., Gutman, B., & Wang, Y.
2013; Journal Neuroimage; vol. 78; pp. 111-134; doi:10.1016/j.neuroimage.2013.04.018

Brain development and aging: Overlapping and unique patterns of change.
Tamnes, C. K., Walhovd, K. B., Dale, A. M., Østby, Y., Grydeland, H., Richardson, G., … Fjell, A. M.
2013; Journal Neuroimage; vol. 68; no. 2013; pp. 63-74; doi:10.1016/j.neuroimage.2012.11.039