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3393 Total Publications

MRI-based brain atrophy rates in ADNI phase 2: acceleration and enrichment considerations for clinical trials
X. Hua, C. R. K. Ching, A. Mezher, B. A. Gutman, D. P. Hibar, P. Bhatt, A. D. Leow, C. R. Jack, Jr., M. A. Bernstein, M. W. Weiner, P. M. Thompson and I. Alzheimer's Disease Neuroimaging
PMID: 26545631 ; PMCID:4827255 ; 2015; Journal Neurobiol Aging; vol. 37; pp. 26-37; doi:10.1016/j.neurobiolaging.2015.09.018
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data
Huang, M., Nichols, T., Huang, C., Yu, Y., Lu, Z., Knickmeyer, R. C., … Zhu, H.
PMID: 26025292 ; PMCID:4554832 ; 2015; Journal Neuroimage; vol. 118; pp. 613-27; doi:10.1016/j.neuroimage.2015.05.043
Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol
Boccardi, M., Bocchetta, M., Morency, F. C., Collins, D. L., Nishikawa, M., Ganzola, R., … Initiative, E.-A. W. G. on T. H. P. for M. H. S. and for the A. D. N.
PMID: 25616957 ; 2015; Journal Alzheimer's and Dementia; vol. 11; pp. 175-183; doi:10.1016/j.jalz.2014.12.002
Early detection of Alzheimer's disease using MRI hippocampal texture.
L. Sorensen, C. Igel, N. Liv Hansen, M. Osler, M. Lauritzen, E. Rostrup, M. Nielsen, I. Alzheimer's Disease Neuroimaging, B. the Australian Imaging and A. Lifestyle Flagship Study of
PMID: 26686837 ; 2015; Journal Hum Brain Mapp; vol. 37; no. 3; pp. 1148-61; doi:10.1002/hbm.23091
Corpus Callosum Atrophy Rate in Mild Cognitive Impairment and Prodromal Alzheimer’s Disease
Elahi, S., Bachman, A. H., Lee, S. H., Sidtis, J. J., & Ardekani, B. A.
PMID: 25633676 ; PMCID:4451933 ; 2015; Journal Journal of Alzheimer's Disease; vol. 45; no. 3; pp. 921-31; doi:10.3233/JAD-142631
Exploring Multifractal-Based Features for Mild Alzheimer’s Disease Classification
Ni, H., Zhou, L., Ning, X., & Wang, L.
PMID: 26193379 ; 2015; Journal Magnetics Resonance in Medicine; vol. 76; no. 1; pp. 259-69; doi:10.1002/mrm.25853
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI
Iglesias, J. E., Augustinack, J. C., Nguyen, K., Player, C. M., Player, A., Wright, M., … Van Leemput, K.
PMID: 25936807 ; PMCID:4461537 ; 2015; Journal Neuroimage; vol. 115; pp. 117-137; doi:10.1016/j.neuroimage.2015.04.042
Optimizing Regions-of-Interest Composites for Capturing Treatment Effects on Brain Amyloid in Clinical Trials.
Tryputsen, V., DiBernardo, A., Samtani, M., Novak, G. P., Narayan, V. A., & Raghavan, N.
PMID: 25114074 ; 2015; Journal Journal of Alzheimer's Disease; vol. 43; no. 3; pp. 809-821; doi:10.3233/JAD-131979
Brain Amyloid-􏰀 Burden Is Associated with Disruption of Intrinsic Functional Connectivity within the Medial Temporal Lobe in Cognitively Normal Elderly
Song Z1, Insel PS2, Buckley S2, Yohannes S3, Mezher A2, Simonson A2, Wilkins S4, Tosun D2, Mueller S2, Kramer JH4, Miller BL4, Weiner MW5.
PMID: 25698758 ; PMCID:4331637 ; 2015; Journal J Neurosci; vol. 35; no. 7; pp. 3240-7; doi:10.1523/JNEUROSCI.2092-14.2015
Round robin test on quantification of amyloid-β 1–42 in cerebrospinal fluid by mass spectrometry
J. Pannee, J. Gobom, L. M. Shaw, M. Korecka, E. E. Chambers, M. Lame, R. Jenkins, W. Mylott, M. C. Carrillo, I. Zegers, H. Zetterberg, K. Blennow and E. Portelius
PMID: 26206625 ; 2015; Journal Alzheimers Dement; vol. 12; no. 1; pp. 55-9; doi:10.1016/j.jalz.2015.06.1890