Hervé Abdi

IndivSTATIS integrates individualized brain parcellations into a shared component space to compare network configurations and predict individual differences.

The paper introduces PLS-CA-R, a method that generalizes partial least squares regression to handle categorical and mixed data, and applies it to ADNI data.

This paper generalizes the MCD algorithm for categorical and mixed data using correspondence analysis, demonstrating its application on neuroimaging and genetics data.

The paper uses PLS-CA to identify specific genotypes associated with AD and control groups, revealing both known and novel genetic effects.

This paper constructs a semantic space of functional neuroimaging literature to identify primary domains and their associated brain regions, revealing trends and terminology variations across domains.