Multi-site voxel-based morphometry: methods and a feasibility demonstration with childhood absence epilepsy.

Abstract:

AIM:Voxel-based morphometry analysis of neurological disorders would benefit if it could use data acquired from different scanners, but scanner based contrast variation could interfere with the detection of disease-specific structural abnormalities. In this study we examine MRI data from three different sites to investigate structural differences between childhood absence epilepsy (CAE) subjects and controls. METHODS:T1-weighted structural MRI scans were acquired from: Site A. 10 CAE, 213 controls; Site B. 15 CAE, 33 controls; and Site C. 19 CAE, 11 controls. The images were processed using the optimised VBM protocol. Three statistical analyses were undertaken: (1) Comparisons of CAE subjects and controls stratified by site. (2) Between-site comparison of controls from each site. (3) Factorial analysis of all data with site and disease status as factors. RESULTS:Consistent regions of structural change, located in the thalamic nuclei, were observed in the within-site analysis of CAE vs controls. Analysis of control scans, however, indicated site-specific differences between controls, which required that we adjust for site in combined analyses. Analysis of all data with adjustment for site confirmed the finding of thalamic atrophy in CAE cases. CONCLUSION:Combined VBM analysis of structural MRI scans acquired from different sites yield consistent patterns of structural change in CAE when site is included as a factor in the statistical analysis of the processed images. In MRI studies of diseases where only a limited number of subjects can be imaged at each site, our study supports the possibility of effective multi-site studies as long as both disease subjects and healthy controls are acquired from each site.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Pardoe H,Pell GS,Abbott DF,Berg AT,Jackson GD

doi

10.1016/j.neuroimage.2008.05.007

subject

Has Abstract

pub_date

2008-08-15 00:00:00

pages

611-6

issue

2

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(08)00617-4

journal_volume

42

pub_type

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