Literature DB >> 31741703

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

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

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.

Entities:  

Keywords:  SPM; biomarkers; connectivity; fMRI; preprocessing

Year:  2019        PMID: 31741703      PMCID: PMC6860361          DOI: 10.1109/ISBI.2019.8759526

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  8 in total

1.  A rating scale for depression.

Authors:  M HAMILTON
Journal:  J Neurol Neurosurg Psychiatry       Date:  1960-02       Impact factor: 10.154

2.  Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks.

Authors:  Susan Whitfield-Gabrieli; Alfonso Nieto-Castanon
Journal:  Brain Connect       Date:  2012-07-19

3.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Authors:  Yashar Behzadi; Khaled Restom; Joy Liau; Thomas T Liu
Journal:  Neuroimage       Date:  2007-05-03       Impact factor: 6.556

4.  The first step for neuroimaging data analysis: DICOM to NIfTI conversion.

Authors:  Xiangrui Li; Paul S Morgan; John Ashburner; Jolinda Smith; Christopher Rorden
Journal:  J Neurosci Methods       Date:  2016-03-02       Impact factor: 2.390

5.  Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design.

Authors:  Madhukar H Trivedi; Patrick J McGrath; Maurizio Fava; Ramin V Parsey; Benji T Kurian; Mary L Phillips; Maria A Oquendo; Gerard Bruder; Diego Pizzagalli; Marisa Toups; Crystal Cooper; Phil Adams; Sarah Weyandt; David W Morris; Bruce D Grannemann; R Todd Ogden; Randy Buckner; Melvin McInnis; Helena C Kraemer; Eva Petkova; Thomas J Carmody; Myrna M Weissman
Journal:  J Psychiatr Res       Date:  2016-03-15       Impact factor: 4.791

6.  Preprocessing strategy influences graph-based exploration of altered functional networks in major depression.

Authors:  Viola Borchardt; Anton Richard Lord; Meng Li; Johan van der Meer; Hans-Jochen Heinze; Bernhard Bogerts; Michael Breakspear; Martin Walter
Journal:  Hum Brain Mapp       Date:  2016-02-17       Impact factor: 5.038

7.  Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.

Authors:  Alexander Schaefer; Ru Kong; Evan M Gordon; Timothy O Laumann; Xi-Nian Zuo; Avram J Holmes; Simon B Eickhoff; B T Thomas Yeo
Journal:  Cereb Cortex       Date:  2018-09-01       Impact factor: 5.357

8.  Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination.

Authors:  William R Shirer; Heidi Jiang; Collin M Price; Bernard Ng; Michael D Greicius
Journal:  Neuroimage       Date:  2015-05-15       Impact factor: 6.556

  8 in total

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