Olivier Colliot

The paper identifies 617 novel genomic loci and pathways associated with structural covariance patterns in the human brain using a stochastic multivariate factorization method.

The paper compares GLM and LMM approaches for mass-univariate vertex-wise analysis, showing LMMs reduce false positives and cluster size but increase computation.

This paper identifies 58 significant associations between grey matter structure and diverse human phenotypes using large neuroimaging datasets and shows body size factors explain part of these associations.

This paper introduces a diffeomorphic centroid method for shape analysis of large datasets, showing it achieves similar results to variational templates but with 70% faster computation.

This paper introduces a manifold approximation framework for generating brain fingerprints from multi-modal data, showing that multi-modal fingerprints are more discriminative and genetically informative than single-modal ones.

The paper introduces a reproducible framework for evaluating AD classification methods using MRI and PET data, showing FDG PET outperforms T1 MRI and linear classifiers perform best.