Exploration of scanning effects in multi-site structural MRI studies.

ABSTRACT:

Background

Pooling of multi-site MRI data is often necessary when a large cohort is desired. However, different scanning platforms can introduce systematic differences which confound true effects of interest. One may reduce multi-site bias by calibrating pivotal scanning parameters, or include them as covariates to improve the data integrity.

New method

In the present study we use a source-based morphometry (SBM) model to explore scanning effects in multi-site sMRI studies and develop a data-driven correction. Specifically, independent components are extracted from the data and investigated for associations with scanning parameters to assess the influence. The identified scanning-related components can be eliminated from the original data for correction.

Results

A sma

SUBMITTER: Chen J 

PROVIDER: S-EPMC4114231 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature