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Do preprocessing algorithms and statistical models influence voxel‐based morphometry (VBM) results in amyotrophic lateral sclerosis patients? A systematic comparison of popular VBM analytical methods
Author(s) -
Rajagopalan Venkateswaran,
Yue Guang H.,
Pioro Erik P.
Publication year - 2014
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24415
Subject(s) - statistical parametric mapping , voxel , voxel based morphometry , nonparametric statistics , computer science , magnetic resonance imaging , artificial intelligence , parametric statistics , pattern recognition (psychology) , amyotrophic lateral sclerosis , nuclear medicine , medicine , mathematics , pathology , statistics , white matter , radiology , disease
Purpose To study whether inconsistent findings in voxel‐based morphometry (VBM) in amyotrophic lateral sclerosis (ALS) brain are due to use of different data preprocessing and statistical methods in two software packages. Materials and Methods T1‐weighted magnetic resonance imaging (MRI) was obtained during routine clinical imaging at 1.5T in ALS patients with frontotemporal dementia (ALS‐FTD) ( n =18) and in unaffected neurologic controls ( n =15). Gray matter (GM) VBM analysis was carried out using FMRIB software library (FSL) 4.1.5 and statistical parametric mapping 8 (SPM8). Comparison of processing steps segmentation, registration, and statistical methods (nonparametric vs. parametric) between the two softwares was performed by subjecting the same dataset through standard VBM processing pipelines. Results GM volume was significantly ( P <0.05) reduced in motor and extramotor regions of ALS‐FTD when compared to controls. Percentage of atrophied GM voxels in the entire brain that reached statistical significance using FSL was 22.52% compared to 0.81% in SPM. Similarly, 0.81% (3308 voxels) reached statistical significance using nonparametric statistics when compared to parametric statistics (0.50%, 2056 voxels). Conclusion The differences in GM volume atrophy measures found by FSL and SPM analytic methods indicate that variable results in previous VBM studies may arise from differences in their image processing algorithms and statistical models. J. Magn. Reson. Imaging 2014;40:662–667 . © 2013 Wiley Periodicals, Inc .