Raúl Rodríguez‐Cruces

HippoMaps provides a toolbox and data warehouse for mapping and analyzing hippocampal data across multiple modalities and scales.

This study identifies reduced microstructural differentiation in TLE patients, linking it to cognitive dysfunction and network reorganization.

This study identifies atypical intrinsic neural timescales in temporal lobe epilepsy, showing reduced timescales in multiple brain regions and high accuracy in classifying patients and lateralizing seizure foci.

The paper characterizes weighted structural brain networks using white matter microstructural features to improve structure-function models.

The paper shares a multimodal MRI dataset for studying multiscale brain organization, including connectomes and gradients from multiple imaging modalities.

Micapipe is an open pipeline for processing multimodal MRI data, generating structural and functional connectomes, geodesic distances, and microstructural profiles across multiple brain parcellations and surface spaces.

This paper predicts brain function from the structural connectome using a Riemannian approach based on diffusion maps and random walks, showing performance plateaus around the third walk.

The paper investigates how mind-wandering during reading affects neural coupling between the default mode network and visual regions, showing that decoupling impairs comprehension.

BrainStat provides a toolbox for statistical analysis and feature association in neuroimaging data, integrating multiple modalities and templates to enhance cross-modal research.

This study characterizes the anatomy of the human default mode network using histology and neuroimaging, revealing its cytoarchitectural diversity and unique signal flow properties.

This study identifies divergent patterns of atypical cortical asymmetry and regional atrophy in temporal lobe epilepsy using MRI data from a large multi-site cohort.

The paper investigates how long-range brain connections relate to microarchitectural and cognitive hierarchies in the human brain, finding that transmodal association cortices have distributed long-range connections linked to similar microarchitecture.

This study links structural network changes in epilepsy syndromes to risk gene expression patterns using ENIGMA data.

The paper identifies microglial activation as a factor contributing to cortical thinning in epilepsy by integrating neuroimaging and gene expression data.

The paper uses manifold learning to analyze longitudinal structural connectome data, showing expansion in transmodal regions during adolescence and linking it to cognitive outcomes.

This study identifies white matter microstructural differences across epilepsy syndromes using diffusion MRI data from a large multicenter cohort.

This study identifies network associations with atrophy patterns in epilepsy using neuroimaging and connectome analysis across 1,021 patients and 1,564 controls.

This study identifies multidimensional associations between cognitive performance and structural network topology in temporal lobe epilepsy using canonical correlation analysis and bootstrap-based clustering.