Scan-rescan reliability of subcortical brain volumes derived from automated segmentation.
Abstract
Large-scale longitudinal studies of regional brain volume require reliable quantification
using automated segmentation and labeling. However, repeated MR scanning of the same
subject, even if using the same scanner and acquisition parameters, does not result
in identical images due to small changes in image orientation, changes in prescan
parameters, and magnetic field instability. These differences may lead to appreciable
changes in estimates of volume for different structures. This study examined scan-rescan
reliability of automated segmentation algorithms for measuring several subcortical
regions, using both within-day and across-day comparison sessions in a group of 23
normal participants. We found that the reliability of volume measures including percent
volume difference, percent volume overlap (Dice's coefficient), and intraclass correlation
coefficient (ICC), varied substantially across brain regions. Low reliability was
observed in some structures such as the amygdala (ICC = 0.6), with higher reliability
(ICC = 0.9) for other structures such as the thalamus and caudate. Patterns of reliability
across regions were similar for automated segmentation with FSL/FIRST and FreeSurfer
(longitudinal stream). Reliability was associated with the volume of the structure,
the ratio of volume to surface area for the structure, the magnitude of the interscan
interval, and the method of segmentation. Sample size estimates for detecting changes
in brain volume for a range of likely effect sizes also differed by region. Thus,
longitudinal research requires a careful analysis of sample size and choice of segmentation
method combined with a consideration of the brain structure(s) of interest and the
magnitude of the anticipated effects.
Type
Journal articleSubject
AdultAnalysis of Variance
Brain
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Organ Size
Reproducibility of Results
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https://hdl.handle.net/10161/10970Published Version (Please cite this version)
10.1002/hbm.20973Publication Info
Morey, Rajendra A; Selgrade, Elizabeth S; Wagner, Henry Ryan; Huettel, Scott A; Wang,
Lihong; & McCarthy, Gregory (2010). Scan-rescan reliability of subcortical brain volumes derived from automated segmentation.
Hum Brain Mapp, 31(11). pp. 1751-1762. 10.1002/hbm.20973. Retrieved from https://hdl.handle.net/10161/10970.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Scott Huettel
Professor in the Department of Psychology and Neuroscience
Research in my laboratory investigates the brain mechanisms underlying economic and
social decision making; collectively, this research falls into the field of “decision
neuroscience” or "neuroeconomics". My laboratory uses fMRI to probe brain function,
behavioral assays to characterize individual differences, and other physiological
methods (e.g., eye tracking, pharmacological manipulation, genetics) to link brain
and behavior. Concurrent with research on basic processes, my labo
Rajendra A. Morey
Associate Professor of Psychiatry and Behavioral Sciences
Research in my lab is focused on brain changes associated with posttraumatic stress
disorder (PTSD), traumatic brain injury (TBI), and other neuropsychiatric disorders.
We apply several advanced methods for understanding brain function including functional
MRI, structural MRI, diffusion tensor imaging, and genetic effects.
Henry Ryan Wagner II
Associate Professor in Psychiatry and Behavioral Sciences
My research career into neurobiology and mental health spans two distinct phases.
The first includes doctoral training at the University of New Mexico in psychology
and neurobiology with a major area of emphasis in behavioral neurobiology and two
minor areas of emphasis in learning and memory and statistics and experimental design.
Doctoral training was subsequently supplemented with postdoctoral study in neuropharmacology
at Duke University focusing on brain monoamine systems.&nb
Lihong Wang
Adjunct Assistant Professor in the Department of Psychiatry and Behavioral Sciences
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