Effects of spatial transformation on regional brain volume estimates

John S. Allen; Joel Bruss; Sonya Mehta; Thomas Grabowski; C. Kice Brown; Hanna Damasio

doi:10.1016/j.neuroimage.2008.05.047

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Effects of spatial transformation on regional brain volume estimates

Journal article

Peer reviewed

Effects of spatial transformation on regional brain volume estimates

John S. Allen, Joel Bruss, Sonya Mehta, Thomas Grabowski, C. Kice Brown and Hanna Damasio

NeuroImage (Orlando, Fla.), Vol.42(2), pp.535-547

08/15/2008

DOI: 10.1016/j.neuroimage.2008.05.047

PMCID: PMC2581899

PMID: 18599317

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https://www.ncbi.nlm.nih.gov/pmc/articles/2581899View

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Abstract

Spatial transformation of MR brain images is a standard tool used in automated anatomical parcellation and other quantitative and qualitative methods to assess brain tissue volume, composition, and distribution. Despite widespread use, the quantitative effects of spatial transformation on regional brain volume estimates have been little studied. We report oil the effects of transformation oil regional brain volumes of 38 (17M, 21 F) manually parcellated brains. After tracing in native space, regions of interest were transformed using a classic piecewise-linear Talairach transformation (Tal) or a nonlinear registration (AIR 5th order nonlinear algorithm, 158 parameters) to one of three Talairach-based templates: 1) Tal50, constructed from 50 Talairach-transformed normal brains, 2) the MNI 305 atlas, 3) IA38, constructed from MNI305-transformed scans of the 38 subjects used in this study. Native volumes were compared to the transformed volumes. We found that: 1) significant group-level differences can be obtained in transformed data sets that are in the opposite direction of effects obtained in native space; 2) the effects of transformation are heterogeneous across brain regions, even after covarying for total brain Volume and age; 3) volumetric intra-class correlations between native and transformed brains differ by registration method and template choice, region, and tissue type; and 4) transformed brains produced hippocampus and corpus callosum volume proportions that were significantly different from those obtained in native space. Our results suggest that region-based volumetric differences uncovered by spatial-transformation-based methods should be replicated in native-space brains, and that meta-analyses should take into account whether volumes are determined using spatially-transformed images and/or specific automated methods. (C) 2008 Elsevier Inc. All rights reserved.

Life Sciences & Biomedicine

Neuroimaging

Neurosciences

Neurosciences & Neurology

Radiology, Nuclear Medicine & Medical Imaging

Science & Technology

Details

Title: Subtitle: Effects of spatial transformation on regional brain volume estimates
Creators: John S. Allen - University of Southern California
Joel Bruss - University of Iowa
Sonya Mehta - University of Iowa
Thomas Grabowski - University of Iowa
C. Kice Brown - Lone Tree Biostat LLC, Lone Tree, IA 52755 USA
Hanna Damasio - University of Southern California
Resource Type: Journal article
Publication Details: NeuroImage (Orlando, Fla.), Vol.42(2), pp.535-547
DOI: 10.1016/j.neuroimage.2008.05.047
PMID: 18599317
PMCID: PMC2581899
NLM abbreviation: Neuroimage
ISSN: 1053-8119
eISSN: 1095-9572
Publisher: Elsevier
Number of pages: 13
Grant note: Mathers Foundation P50NS019632 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) NS 19632 / NINDS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
Language: English
Date published: 08/15/2008
Academic Unit: Stead Family Department of Pediatrics
Record Identifier: 9984622057202771

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