The impact of FreeSurfer versions on structural neuroimaging analyses of Parkinson's disease
Sokolowski, A.; Bhagwat, N.; Kirbizakis, D.; Chatelain, Y.; Dugre, M.; Poline, J.-B.; Sharp, M.; Glatard, T.
Show abstract
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 Parkinsons 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.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Microstructural Abnormalities of Substantia Nigra in Parkinson’s disease: A Neuromelanin Sensitive MRI Atlas Based Study 96%
- Voxel-Based Diktiometry - Combining convolutional neural networks with voxel-based analysis and its application in diffusion tensor imaging for Parkinson’s disease 96%
- Dynamic properties in functional connectivity changes and striatal dopamine deficiency in Parkinson's disease 95%
Similar papers in this journal
- Striatal dopamine synthesis capacity in Parkinson's disease: Effects of age, sex, and body mass index in a large fluorodopa PET cohort 95%
- Improving fMRI in Parkinson's Disease by Accounting for Brain Region-Specific Activity Patterns 94%
- Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods 94%
Similar papers in this journal
- Anatomical Abnormalities Suggest a Compensatory Role of the Cerebellum in Early Parkinson's Disease 95%
- Quality control strategies for brain MRI segmentation and parcellation: practical approaches and recommendations - insights from The Maastricht Study 95%
- Not all voxels are created equal: reducing estimation bias in regional NODDI metrics using tissue-weighted means 94%
Similar papers in this journal
- Application of the Anatomical Fiducials Framework to a Clinical Dataset of Patients with Parkinsons Disease 96%
- Topographic volume-standardization atlas of the human brain 93%
- Mapping the impact of age and APOE risk factors for late onset Alzheimer disease on long range brain connections through multiscale bundle analysis 92%
Similar papers in this journal
- Nigral volumetric and microstructural measures in individuals with scans without evidence of dopaminergic deficit 94%
- Feasibility of FreeSurfer processing for T1-weighted brain images of 5-year-olds: semiautomated protocol of FinnBrain Neuroimaging Lab 93%
- Separable, symptom specific alterations in brain microstructure associated with early-stage Parkinsons Disease 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.