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Publications

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1736 Total Publications

Heart fatty acid binding protein and Aβ-associated Alzheimer’s neurodegeneration.
Rahul S Desikan, Wesley K Thompson, Dominic Holland, Christopher P Hess, James B Brewer, Henrik Zetterberg, Kaj Blennow, Ole A Andreassen, Linda K McEvoy, Bradley T Hyman, Anders M Dale, and for the Alzheimer’s Disease Neuroimaging Initiative.
2013; Journal Molecular Neurodegeneration; vol. 8; no. 39; doi:10.1186/1750-1326-8-39

A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer’s disease
Nestor, S. M., Gibson, E., Gao, F. Q., Kiss, A., & Black, S. E.
2013; Journal Neuroimage; vol. 66; pp. 50-70; doi:10.1016/j.neuroimage.2012.10.081

Associations between Alzheimer disease biomarkers, neurodegeneration, and cognition in cognitively normal older people.
Wirth, M., Villeneuve, S., Haase, C. M., Madison, C. M., Oh, H., Landau, S. M., … Jagust, W. J.
2013; Journal JAMA Neurology; vol. 70; no. 12; pp. 1512-9; doi:10.1001/jamaneurol.2013.4013

Cerebral atrophy in mild cognitive impairment and Alzheimer disease: rates and acceleration.
Leung, K. K., Bartlett, J. W., Barnes, J., Manning, E. N., Ourselin, S., & Fox, N. C.
2013; Journal Neurology; vol. 80; no. 7; pp. 648-54; doi:10.1212/WNL.0b013e318281ccd3

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

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