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Publications

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3393 Total Publications

Alzheimer’s disease progression model based on integrated biomarkers and clinical measures
Qiu, Y., Li, L., Zhou, T., & Lu, W.
PMID: 25088003 ; PMCID:4155529 ; 2014; Journal Acta Pharmacologica Sinica; doi:10.1038/aps.2014.57

SUCLG2 identified as both a determinator of CSF Aβ1-42 levels and an attenuator of cognitive decline in Alzheimer's disease
Ramirez, A., van der Flier, W. M., Herold, C., Ramonet, D., Heilmann, S., Lewczuk, P., … Nöthen, M. M.
PMID: 25027320 ; PMCID:4240204 ; 2014; Journal Human Molecular Genetics; vol. 23; no. 24; pp. 6644-6658; doi:10.1093/hmg/ddu372

Variants in PPP3R1 and MAPT are associated with more rapid functional decline in Alzheimer's disease: the Cache County Dementia Progression Study.
Peterson, D., Munger, C., Crowley, J., Corcoran, C., Cruchaga, C., Goate, A. M., … Kauwe, J. S. K.
PMID: 23727081 ; PMCID:3809344 ; 2014; Journal Alzheimer's and Dementia; vol. 10; no. 3; pp. 366-371; doi:10.1016/j.jalz.2013.02.010

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates
Pipitone J1, Park MT2, Winterburn J2, Lett TA3, Lerch JP4, Pruessner JC5, Lepage M6, Voineskos AN7, Chakravarty MM8; Alzheimer's Disease Neuroimaging Initiative
PMID: 24784800 ; 2014; Journal Neuroimage; vol. 101; pp. 494-512; doi:10.1016/j.neuroimage.2014.04.054

Fully Automated Segmentation of the Pons and Midbrain Using Human T1 MR Brain Images
Nigro, S., Cerasa, A., Zito, G., Perrotta, P., Chiaravalloti, F., Donzuso, G., … Quattrone, A.
PMID: 24489664 ; PMCID:3904850 ; 2014; Journal PloS One; vol. 9; no. 1; pp. e85618; doi:10.1371/journal.pone.0085618

Variables associated with hippocampal atrophy rate in normal aging and mild cognitive impairment
Nosheny, R. L., Insel, P. S., Truran, D., Schuff, N., Jack, C. R., Aisen, P. S., … Weiner, M. W.
PMID: 25175807 ; PMCID:5832349 ; 2014; Journal Neurobiology of Aging; pp. 273-282; doi:10.1016/j.neurobiolaging.2014.07.036

Alleles that increase risk for type 2 diabetes mellitus are not associated with increased risk for Alzheimer’s disease.
Proitsi, P., Lupton, M. K., Velayudhan, L., Hunter, G., Newhouse, S., Lin, K., … Powell, J. F.
2014; Journal Neurobiology of Aging; vol. 35; no. 12; pp. 2883.e3-2883.e10; doi:10.1016/j.neurobiolaging.2014.07.023

Tractography of the uncinate fasciculus and the posterior cingulate fasciculus in patients with mild cognitive impairment and Alzheimer disease.
Larroza, A., Moratal, D., D’Ocon Alcaniz, V., Arana, E., & por la Alzheimer’s Disease Neuroimaging, I.
2014; Journal Neurologia; vol. 29; no. 1; pp. 11-20; doi:10.1016/j.nrl.2013.02.002

Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer’s Disease and mild cognitive impairment identification.
Liu, F., Wee, C. Y., Chen, H., & Shen, D.
2014; Journal Neuroimage; vol. 84; pp. 466-475; doi:10.1016/j.neuroimage.2013.09.015

Improved DTI registration allows voxel-based analysis that outperforms Tract-Based Spatial Statistics
Schwarz, C. G., Reid, R. I., Gunter, J. L., Senjem, M. L., Przybelski, S. a., Zuk, S. M., … Jack, C. R.
PMID: 24650605 ; PMCID:4137565 ; 2014; Journal Neuroimage; vol. 94; pp. 65-78; doi:10.1016/j.neuroimage.2014.03.026