A Numerical Variability Approach to Results Stability Tests and Its Application to Neuroimaging

Chatelain, Yohan; Tetrel, Loïc; Markiewicz, Christopher J.; Goncalves, Mathias; Kiar, Gregory; Esteban, Oscar; Bellec, Pierre; Glatard, Tristan

doi:10.1109/tc.2024.3475586

IEEE Trans. Comput.

2025

DOI: 10.1109/tc.2024.3475586

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A Numerical Variability Approach to Results Stability Tests and Its Application to Neuroimaging

Yohan Chatelain,

Loïc Tetrel,

Christopher J. Markiewicz

et al.

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The impact of FreeSurfer versions on structural neuroimaging analyses of Parkinson’s disease

Sokołowski,

Bhagwat,

Kirbizakis

et al. 2024

Preprint

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Image processing software impacts the quantification of brain measures, playing an important role in the search for clinical biomarkers. We investigated the impact of the variability between FreeSurfer releases on the estimation of structural brain measures in Parkinson’s disease (PD). Structural brain scans from 106 controls and 209 patients were analyzed with FreeSurfer versions 5.3, 6.0.1, and 7.3.2, including longitudinal data from 125 patients. First, we measured the differences in the estimation of volume, surface area, and cortical thickness between FreeSurfer versions. Second, we focused on the relationship between MRI-derived brain measures and group differences as well as disease severity clinical outcomes, which were evaluated both cross-sectionally and longitudinally. We found high software-induced variability in the estimation of all three structural measures, which impacted clinical outcomes. There were differences between software versions in group differences between patients and healthy controls in subcortical volume and vertex-wise cortical thickness. Software variability also impacted the estimated relationship between brain structure and disease severity in patients. Hence, software variability not only relates to the estimation of structural measures, but it also impacts clinically- relevant MRI measures. Our study provides insight into the reproducibility of structural neuroimaging studies in PD populations.

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The impact of FreeSurfer versions on structural neuroimaging analyses of Parkinson’s disease

Sokołowski,

Bhagwat,

Kirbizakis

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

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A Numerical Variability Approach to Results Stability Tests and Its Application to Neuroimaging

Cited by 1 publication

References 22 publications

The impact of FreeSurfer versions on structural neuroimaging analyses of Parkinson’s disease

The impact of FreeSurfer versions on structural neuroimaging analyses of Parkinson’s disease

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