Information The longitudinal stream extracts reliable volume and thickness estimations across individuals across multiple time points. This workflow generates an unbiased within-subject template space and image to create a new data set in a longitudinal series, improving robustness and sensitivity of the overall longitudinal analysis.
Further information on the importance of the longitudinal pre-processing stream, and steps on how to run it are listed here and here. In summary, the longitudinal stream extracts reliable volume and thickness estimations across individuals over time by using an unbiased within-subject template space and image.
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There are 3 main steps for longitudinal pre-processing:
1. Recon-all
Cross sectionally process all time points with the default recon-all pipeline (manually or automatically)
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