sMRI Acquisition and Modalities
- Different acquisition techniques will offer better quantification of specific brain tissues
sMRI Clean-up
- Presence of artifacts can lead to flawed analysis and incorrect findings
sMRI Spatial Normalization
- Reference coordinate spaces and spatial normalization offer a way to map and compare brain anatomy across modalities, individuals, and studies
sMRI Segmentation and Parcellation
- Brain segmentation and parcellation is a key step towards further analysis
- The brain can be represented via different data format (volume, surface)
- Multiple python libraries are particularly useful to manipulate brain data
sMRI Quality Control
- Image processing failures happen! It is important to perform systematic quality control to minimize biases
sMRI Statistical Analysis
- Multiple volumetric and surface metrics exist to characterize brain structure morphology
- Both conventional statistical models and specific neuroimaging approaches can be used
- Caution should be exercised at both data inspection and model interpretation levels
sMRI Analysis: Reproducibility Considerations
- It is crucial to assess biological vs methodological variation in your findings to avoid reproducibility crisis.