Hervé Abdi

IndivSTATIS: A multivariate approach to analyze brain network configurations with individualized parcellation

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

Comparing the stability and reproducibility of brain-behaviour relationships found using Canonical Correlation Analysis and Partial Least Squares within the ABCD Sample

A generalization of partial least squares regression and correspondence analysis for categorical and mixed data: An application with the ADNI data

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.

Generalization of the minimum covariance determinant algorithm for categorical and mixed data types

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

Multivariate genotypic analyses that identify specific genotypes to characterize disease and control groups in ADNI

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

The Latent Semantic Space and Corresponding Brain Regions of the Functional Neuroimaging Literature

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.