Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versions

Kevin P Nguyen; Cherise Chin Fatt; Cooper Mellema; Madhukar H Trivedi; Albert Montillo

doi:10.1109/ISBI.2019.8759526

Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versions

Proc IEEE Int Symp Biomed Imaging. 2019 Apr:2019:1581-1584. doi: 10.1109/ISBI.2019.8759526. Epub 2019 Jul 11.

Authors

Kevin P Nguyen¹, Cherise Chin Fatt², Cooper Mellema¹, Madhukar H Trivedi², Albert Montillo¹

Affiliations

¹ Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, Texas, USA.
² Center for Depression Research and Clinical Care, Department of Psychiatry, UT Southwestern Medical Center, Dallas, Texas, USA.

Abstract

When common software packages (CONN and SPM) are used to process fMRI, results such as functional connectivity measures can substantially differ depending on the versions of the packages used and the tools used to convert image formats such as DICOM to NIFTI. The significance of these differences are illustrated within the context of a realistic research application: finding moderators of antidepressant response from a large psychiatric study of 288 major depressive disorder (MDD) patients. Significant differences in functional connectivity measurements and discrepancies in derived moderators were found between nearly all software configurations. These results should encourage researchers to be vigilant of software versions during fMRI preprocessing, to maintain consistency throughout each project, and to carefully report versions to facilitate reproducibility.

Keywords: SPM; biomarkers; connectivity; fMRI; preprocessing.

Abstract

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