@article{bbad6ced47e746eeb9529fe628cd788e,
title = "Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry",
abstract = "This paper responds to Thompson and Holland (2011), who challenged our tensor-based morphometry (TBM) method for estimating rates of brain changes in serial MRI from 431 subjects scanned every 6. months, for 2. years. Thompson and Holland noted an unexplained jump in our atrophy rate estimates: an offset between 0 and 6. months that may bias clinical trial power calculations. We identified why this jump occurs and propose a solution. By enforcing inverse-consistency in our TBM method, the offset dropped from 1.4% to 0.28%, giving plausible anatomical trajectories. Transitivity error accounted for the minimal remaining offset. Drug trial sample size estimates with the revised TBM-derived metrics are highly competitive with other methods, though higher than previously reported sample size estimates by a factor of 1.6 to 2.4. Importantly, estimates are far below those given in the critique. To demonstrate a 25% slowing of atrophic rates with 80% power, 62 AD and 129 MCI subjects would be required for a 2-year trial, and 91 AD and 192 MCI subjects for a 1-year trial.",
author = "Xue Hua and Boris Gutman and Boyle, {Christina P.} and Priya Rajagopalan and Leow, {Alex D.} and Igor Yanovsky and Kumar, {Anand R.} and Toga, {Arthur W.} and Jack, {Clifford R.} and Norbert Schuff and Alexander, {Gene E.} and Kewei Chen and Reiman, {Eric M.} and Weiner, {Michael W.} and Thompson, {Paul M.}",
note = "Funding Information: We thank Wes Thompson and Dominic Holland for noticing surprising aspects of our prior data that we address here. Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904 ). ADNI is funded by the National Institute on Aging , the National Institute of Biomedical Imaging and Bioengineering , and through generous contributions from the following: Abbott , AstraZeneca AB , Bayer Schering Pharma AG , Bristol-Myers Squibb , Eisai Global Clinical Development , Elan Corporation , Genentech , GE Healthcare , GlaxoSmithKline , Innogenetics , Johnson and Johnson , Eli Lilly and Co. , Medpace, Inc. , Merck and Co., Inc. , Novartis AG , Pfizer Inc , F. Hoffman-La Roche , Schering-Plough , Synarc, Inc. , and Wyeth , as well as non-profit partners the Alzheimer's Association and Alzheimer's Drug Discovery Foundation , with participation from the U.S. Food and Drug Administration . Private sector contributions to ADNI are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org < http://www.fnih.org >). The grantee organization is the Northern California Institute for Research and Education , and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory of Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30 AG010129 , K01 AG030514 , and the Dana Foundation . Algorithm development and image analysis for this study was funded by grants to P.T. from the NIBIB ( R01 EB007813 , R01 EB008281 , and R01 EB008432 ), NICHD ( R01 HD050735 ), and NIA ( R01 AG020098 ). Author contributions were as follows: XH, BG, CB, PR, AL, AK, IY, AT, and PT performed the image analyses, algorithm developments and evaluations; CJ, NS, GE, KC, ER, and MW contributed substantially to the image and data acquisition, study design, quality control, calibration and pre-processing, databasing and image analysis. We thank Anders Dale for his contributions to the image pre-processing and the ADNI project. We thank Jason Stein, Neda Jahanshad, and Sarah Madsen for their comments on this manuscript. ",
year = "2011",
month = jul,
day = "1",
doi = "10.1016/j.neuroimage.2011.01.079",
language = "English (US)",
volume = "57",
pages = "5--14",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "1",
}