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Publications

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1800 Total Publications

How early can we predict Alzheimer’s disease using computational anatomy?
Adaszewski, S., Dukart, J., Kherif, F., Frackowiak, R., & Draganski, B.
PMID: 23890839 ; 2013; Journal Neurobiology of Aging; vol. 34; no. 12; pp. 2815-2826; AWTYIUWHMOwVf_qbJr5V doi:10.1016/j.neurobiolaging.2013.06.015
Brain size and the compensation of Alzheimer's disease symptoms: A longitudinal cohort study
Guo, L.-H., Alexopoulos, P., Wagenpfeil, S., Kurz, A., & Perneczky, R.
PMID: 23232272 ; 2013; Journal Alzheimer's and Dementia; vol. 9; no. 5; pp. 580-6; AWTYG0yudzjauPDbjhln doi:10.1016/j.jalz.2012.10.002
Increased CNV-Region deletions in mild cognitive impairment (MCI) and Alzheimer's disease (AD) subjects in the ADNI sample
Guffanti, G., Torri, F., Rasmussen, J., Clark, A. P., Lakatos, A., Turner, J. a., … Macciardi, F
PMID: 23583670 ; PMCID:4012421 ; 2013; Journal Genomics; vol. 102; no. 2; pp. 112-122; AWTYG0yudzjauPDbjhlk doi:10.1016/j.ygeno.2013.04.004
CD33 Alzheimer’s disease locus: Altered monocyte function and amyloid biology
Bradshaw, E. M., Chibnik, L. B., Keenan, B. T., Ottoboni, L., Raj, T., Tang, A., … De Jager, P. L.
PMID: 23708142 ; PMCID:3703870 ; 2013; Journal Nature Neuroscience; vol. 16; no. 7; pp. 848-50; AWTX7HmYdzjauPDbjhjP doi:10.1038/nn.3435
Mapping the Genetic Variation of Regional Brain Volumes as Explained by All Common SNPs from the ADNI Study
Bryant, C., Giovanello, K. S., Ibrahim, J. G., Chang, J., Shen, D., Peterson, B. S., & Zhu, H.
PMID: 24015190 ; PMCID:3756017 ; 2013; Journal PloS One; vol. 8; no. 8; pp. e71723; AWTX5LQ2MOwVf_qbJr2h doi:10.1371/journal.pone.0071723
Predicting the Location of Human Perirhinal Cortex, Brodmann's area 35, from MRI
Augustinack, J. C., Huber, K. E., Stevens, A. a., Roy, M., Frosch, M. P., van der Kouwe, A. J. W., … Fischl, B.
PMID: 22960087 ; PMCID:3508349 ; 2013; Journal Neuroimage; vol. 64; pp. 32-42; AWTX4SQCwAl_G9zjEvXI doi:10.1016/j.neuroimage.2012.08.071
Mapping Dynamic Changes in Ventricular Volume onto Baseline Cortical Surfaces in Normal Aging, MCI, and Alzheimer’s Disease*
Madsen, S. K., Gutman, B. A., Joshi, S. H., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M.
PMID: 25152934 ; PMCID:4138607 ; 2013; Journal Multimodal Brain Image Analysis; vol. 8159; pp. 84-94; AWTYNIDFwAl_G9zjEvbB doi:10.1007/978-3-319-02126-3_9
Genetic interactions associated with 12-mo atrophy in hippocampus and entorhinal cortex in ADNI
Meda, S. A., Koran, M. E. I., Pryweller, J. R., Vega, J. N., & Thornton-Wells, T. A.
PMID: 23107432 ; PMCID:3570748 ; 2013; Journal Neurobiology of Aging; vol. 34; no. 5; pp. 1518.e9-18; AWTYN5pfwAl_G9zjEvbs doi:10.1016/j.neurobiolaging.2012.09.020
Effect of complement CR1 on brain amyloid burden during aging and its modification by APOE genotype.
Thambisetty, M., An, Y., Nalls, M., Sojkova, J., Swaminathan, S., Zhou, Y., … Resnick, S. M.
2013; Journal Biological Psychiatry; vol. 73; no. 5; pp. 422-428; AWUU_d3HdzjauPDbjhqd doi:10.1016/j.biopsych.2012.08.015
Predicting the Time to Clinically Worsening in Mild Cognitive Impairment Patients and its Utility in Clinical Trial Design by Modeling a Longitudinal Clinical Dementia Rating Sum of Boxes from the ADNI Database
Ito K, Hutmacher M.
PMID: 24531162 ; PMCID:4684492 ; 2013; Journal Journal of Alzheimer's Disease; vol. 40; no. 4; pp. 967-79; AWTYJDUyMOwVf_qbJr5m doi:10.1016/j.jalz.2015.01.010