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Publications

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2110 Total Publications

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
Advanced Psychometric Analysis and the Alzheimer’s Disease Neuroimaging Initiative:Reports from the 2011 Friday Harbor Conference
Mungas D1, Crane PK, Gibbons LE, Manly JJ, Glymour MM, Jones RN
PMID: 23232798 ; PMCID:3532555 ; 2012; Journal Brain Imaging Behav; vol. 6; no. 4; pp. 485-8; doi:10.1007/s11682-012-9211-2
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
Chu, C., Hsu, A. L., Chou, K. H., Bandettini, P., & Lin, C.
PMID: 22166797 ; 2012; Journal Neuroimage; vol. 60; no. 1; pp. 59-70; doi:10.1016/j.neuroimage.2011.11.066
CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade
Yang, X., Tan, M. Z., & Qiu, A.
PMID: 23284610 ; PMCID:3526616 ; 2012; Journal PloS One; vol. 7; no. 12; pp. e47406; doi:10.1371/journal.pone.0047406
Comparison of Imaging Biomarkers in the Alzheimer Disease Neuroimaging Initiative and the Mayo Clinic Study of Aging
Whitwell, J. L., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Roberts, R. O., … Jack, C. R.
PMID: 22782510 ; PMCID:3569033 ; 2012; Journal JAMA Neurology; vol. 69; no. 5; pp. 614-22; doi:10.1001/archneurol.2011.3029