@article{c988e4e93a2140488e9c621ca2abca7a,
title = "Does MRI scan acceleration affect power to track brain change?",
abstract = "The Alzheimer's Disease Neuroimaging Initiative recently implemented accelerated T1-weighted structural imaging to reduce scan times. Faster scans may reduce study costs and patient attrition by accommodating people who cannot tolerate long scan sessions. However, little is known about how scan acceleration affects the power to detect longitudinal brain change. Using tensor-based morphometry, no significant difference was detected in numerical summaries of atrophy rates from accelerated and nonaccelerated scans in subgroups of patients with Alzheimer's disease, early or late mild cognitive impairment, or healthy controls over a 6- and 12-month scan interval. Whole-brain voxelwise mapping analyses revealed some apparent regional differences in 6-month atrophy rates when comparing all subjects irrespective of diagnosis (n= 345). No such whole-brain difference was detected for the 12-month scan interval (n= 156). Effect sizes for structural brain changes were not detectably different in accelerated versus nonaccelerated data. Scan acceleration may influence brain measures but has minimal effects on tensor-based morphometry-derived atrophy measures, at least over the 6- and 12-month intervals examined here.",
keywords = "Alzheimer's disease, Biomarker, Drug trial enrichment, Longitudinal, MRI, Neuroimaging, Scan acceleration, Tensor-based morphometry",
author = "{Alzheimer's Disease Neuroimaging Initiative} and Ching, {Christopher R.K.} and Xue Hua and Hibar, {Derrek P.} and Ward, {Chadwick P.} and Gunter, {Jeffrey L.} and Bernstein, {Matt A.} and Jack, {Clifford R.} and Weiner, {Michael W.} and Thompson, {Paul M.}",
note = "Funding Information: Algorithm development and image analysis for this study was funded, in part, by grants to Paul Thompson from the NIBIB ( R01 EB008281 , R01 EB008432 and R21 EB01651 ) and by the NIA (P50 AG016570-019002, R01 AG040060, U01 AG024904-01) , NIBIB , NIMH , the U.S. National Library of Medicine (R01 LM05639) , and the National Center for Research Resources ( AG016570 , AG040060 , EB01651 , MH097268 , LM05639 , and RR019771 to Paul Thompson). Data collection and sharing for this project was funded by ADNI ( NIH grant U01 AG024904 ). ADNI is funded by the National Institute on Aging , the National Institute of Biomedical Imaging and Bioengineering , and through contributions from the following: Abbott ; Alzheimer's Association ; Alzheimer Drug Discovery Foundation ; Amorfix Life Sciences Ltd ; AstraZeneca ; Bayer Healthcare ; BioClinica, Inc ; Biogen Idec Inc ; Bristol-Myers Squibb Company ; Eisai ; Elan Pharmaceuticals Inc ; Eli Lilly and Company ; F. Hoffmann-La Roche Ltd ; and its affiliated company Genentech, Inc ; GE Healthcare ; Innogenetics , N.V.; IXICO Ltd ; Janssen Alzheimer Immunotherapy Research & Development, LLC ; Johnson & Johnson Pharmaceutical Research & Development LLC ; Medpace, Inc ; Merck & Co, Inc ; Meso Scale Diagnostics, LLC ; Novartis Pharmaceuticals Corporation ; Pfizer ; Servier ; Synarc Inc ; and Takeda Pharmaceutical North America . The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health . 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 for Neuro Imaging at the University of Southern California. This research was also supported by NIH grants P30 AG010129 and K01 AG030514 from the National Institute of General Medical Sciences . Investigators within ADNI contributed to the design and implementation of ADNI and/or provided data, but many of them did not participate in analysis or writing of this report. For a complete listing of ADNI investigators, please see http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf . Christopher R. K. Ching was partially funded by the UCLA Neuroimaging Training Program Fellowship, National Institutes of Health , grant numbers R90 DA022768 and T90 DA023422 (UCLA, 2012). Publisher Copyright: {\textcopyright} 2015 Elsevier Inc.",
year = "2015",
month = jan,
day = "1",
doi = "10.1016/j.neurobiolaging.2014.05.039",
language = "English (US)",
volume = "36",
pages = "S167--S177",
journal = "Neurobiology of Aging",
issn = "0197-4580",
publisher = "Elsevier Inc.",
number = "S1",
}