Functional magnetic resonance imaging (fMRI) data require preprocessing steps before statistical analysis. Multi-subjects fMRI studies are complicated: the brain’s anatomical and functional structure varies across subjects. Anatomical alignment does not capture the functional variability across subjects; the functional alignment is then applied. Generally, group analysis on functionally aligned fMRI data refers to between-subject classification. We propose an inference group analysis arguing that using functional aligned images based on Procrustes transformation does not affect type I error.

Valid inference for group analysis of functionally aligned fMRI images

Andreella Angela
;
2022-01-01

Abstract

Functional magnetic resonance imaging (fMRI) data require preprocessing steps before statistical analysis. Multi-subjects fMRI studies are complicated: the brain’s anatomical and functional structure varies across subjects. Anatomical alignment does not capture the functional variability across subjects; the functional alignment is then applied. Generally, group analysis on functionally aligned fMRI data refers to between-subject classification. We propose an inference group analysis arguing that using functional aligned images based on Procrustes transformation does not affect type I error.
Book of Short Papers SIS 202
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5012541
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