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Publications

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4453 Total Publications

Power Calculations for Two-Wave, Change from Baseline to Follow-Up Study Designs.
Ard, M. C., & Edland, S. D.
2012; Journal International Journal of Statistics in Medical Research;

Is radiological evaluation as good as computer-based volumetry to assess hippocampal atrophy in Alzheimer's disease?
Boutet, C, Chupin, M, Colliot, O, Sarazin, M, Mutlu, G, Drier, A, Pellot, A, Dormont, D and Leh√©ricy, S
2012; Journal Neuroradiology; vol. 54; no. 12; pp. 1321-30;

The interleukin 3 gene (IL3) contributes to human brain volume variation by regulating proliferation and survival of neural progenitors
Luo, XJ, Li, M, Huang, L, Nho, K, Deng, M, Chen, Q, Weinberger, DR, Vasquez, AA, Rijpkema, M, Mattay, VS, Saykin, AJ, Shen, L, Fern√°ndez, G, Franke, B, Chen, JC, Chen, XN, Wang, JK, Xiao, X, Qi, XB, Xiang, K, Peng, YM, Cao, XY, Li, Y, Shi, XD, Gan, L and Su, B
2012; Journal PLoS One; vol. 7; no. 11; pp. e50375;

Identification of common variants associated with human hippocampal and intracranial volumes.
Stein, J. L., Medland, S. E., Vasquez, A. A., Hibar, D. P., Senstad, R. E., Winkler, A. M., … Thompson, P. M.
2012; Journal Nature Genetics; vol. 44; no. 5; pp. 552-561; doi:10.1038/ng.2250

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer’s disease.
Zhang, D., & Shen, D.
2012; Journal Neuroimage; vol. 59; no. 2; pp. 895-907; doi:10.1016/j.neuroimage.2011.09.069

Structural brain alterations before mild cognitive impairment in ADNI: validation of volume loss in a predefined antero-temporal region.
Smith, C. D., Andersen, A. H., & Gold, B. T.
2012; Journal Journal of Alzheimer's Disease; vol. 3; no. 3; pp. S49-58; doi:10.3233/JAD-2012-120157

Risk classification in mild cognitive impairment patients for developing Alzheimer’s disease.
Zhou, B., Nakatani, E., Teramukai, S., Nagai, Y., & Fukushima, M.
2012; Journal Journal of Alzheimer's Disease; vol. 30; no. 2; pp. 367-75; doi:10.3233/JAD-2012-112117

Identification of gene pathways implicated in Alzheimer’s disease using longitudinal imaging phenotypes with sparse regression.
Silver, M., Janousova, E., Hua, X., Thompson, P. M., & Montana, G.
2012; Journal Neuroimage; vol. 63; no. 3; pp. 1681-1694; doi:10.1016/j.neuroimage.2012.08.002

Resting state FDG-PET functional connectivity as an early biomarker of Alzheimer’s disease using conjoint univariate and independent component analyses.
Toussaint, P. J., Perlbarg, V., Bellec, P., Desarnaud, S., Lacomblez, L., Doyon, J., … Benali, H.
2012; Journal Neuroimage; vol. 63; no. 2; pp. 936-946; doi:10.1016/j.neuroimage.2012.03.091

Practical management of heterogeneous neuroimaging metadata by global neuroimaging data repositories.
Neu, S. C., Crawford, K. L., & Toga, A. W.
2012; Journal Frontiers in Neuroinformatics; vol. 6; pp. 8; doi:10.3389/fninf.2012.00008