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PMID: 21320612 Published · ppublish English Journal Article Comment

Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry.

NeuroImage ·Vol. 57 ·No. 1 ·2011-07-01 ·Pages 5-14

Hua X, Gutman B, Boyle CP, Rajagopalan P, Leow AD, Yanovsky I, Kumar AR, Toga AW, Jack CR, Schuff N, Alexander GE, Chen K, Reiman EM, Weiner MW, Thompson PM, Alzheimer's Disease Neuroimaging Initiative

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.

Authors & Affiliations
16 authors, click to expand affiliations / ORCID
Hua Xue
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Gutman Boris
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Boyle Christina P
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Rajagopalan Priya
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Leow Alex D
Dept. of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA; Dept. of Bioengineering, University of Illinois-Chicago, Chicago, IL, USA; Community Psychiatry Associates, Sacramento, CA, USA.
Yanovsky Igor
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Kumar Anand R
Dept. of Bioengineering, University of Illinois-Chicago, Chicago, IL, USA.
Toga Arthur W
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Jack Clifford R
Dept. of Radiology, Mayo Clinic, Rochester, MN, USA.
Schuff Norbert
Dept. of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA; Dept. of Medicine, UCSF, San Francisco, CA, USA.
Alexander Gene E
Dept. Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Chen Kewei
Banner Alzheimer's Institute and Banner Good Samaritan PET Center, Phoenix, AZ, USA; Dept. of Mathematics and Statistics, Arizona State University, Tempe, AZ, USA.
Reiman Eric M
Banner Alzheimer's Institute and Banner Good Samaritan PET Center, Phoenix, AZ, USA; Dept. Psychiatry, University of Arizona, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute and Arizona Alzheimer's Consortium, AZ, USA.
Weiner Michael W
Dept. of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA; Dept. of Medicine, UCSF, San Francisco, CA, USA; Dept. of Psychiatry, UCSF, San Francisco, CA, USA.
Thompson Paul M
Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA. Electronic address: [email protected].
Alzheimer's Disease Neuroimaging Initiative
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Article Info
Journal
NeuroImage
Abbr.
Neuroimage
ISSN
1095-9572
DOI
10.1016/j.neuroimage.2011.01.079
Email
[email protected]
Published
2011-07-01
Epub
2011-00-23
Pages
5-14
Language
English
Region
United States
NLM ID
9215515
PMCID
PMC3394184
Grants
NIA NIH HHS · K01 AG030514 · United States
NIBIB NIH HHS · R01 EB007813 · United States
NIA NIH HHS · P30 AG010129-13 · United States
NIA NIH HHS · R01 AG020098-09 · United States
NIA NIH HHS · P30 AG010129 · United States
NIA NIH HHS · P30 AG019610 · United States
NIBIB NIH HHS · R01 EB008281 · United States
NIBIB NIH HHS · R01 EB007813-04 · United States
NIA NIH HHS · K01 AG030514-04 · United States
NIA NIH HHS · U01 AG024904 · United States
NIA NIH HHS · U19 AG010483 · United States
NICHD NIH HHS · R01 HD050735-05 · United States
NIBIB NIH HHS · R01 EB008281-14 · United States
NICHD NIH HHS · R01 HD050735 · United States
NIBIB NIH HHS · R01 EB008432 · United States
NIA NIH HHS · U01 AG024904-07 · United States
NIA NIH HHS · R01 AG020098 · United States
NIBIB NIH HHS · R01 EB008432-03 · United States
Corrections
CommentOn
PMID: 21349340
External Links
PubMed source DOI: 10.1016/j.neuroimage.2011.01.079 PMC Full Text View journal details
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