Christine Lucas Tardif

The paper describes the development of a harmonized multisite MRI protocol for pediatric brain imaging and validates its cross-site consistency.

This study investigates how 16p11.2 copy number variations affect white matter structure by analyzing axonal and myelin volume and g-ratio across different cohorts.

This study examines how control energy in brain networks changes over time in older adults at risk for Alzheimer's disease, finding specific patterns linked to cognitive performance and biomarkers.

The paper analyzes EEG data from 4,812 individuals to identify shared and distinct neurophysiological signatures across psychiatric conditions and rare genetic variants.

An open, instruction-free EEG plus eye-tracking task battery for autism families (344 to 587 participants per task so far), with timing-validated integrated recordings that enable gaze-locked ERP analysis.

The paper examines how fiber-tract development in the human hippocampus correlates with functional specialization across childhood, finding that cross-sectional area of specific tracts predicts functional specialization.

This study integrates multi-feature white matter connectivity into structure-function brain models, showing that myelin strongly predicts functional connectivity across brain regions and timescales.

This study shows how white matter myelin and tract caliber influence large-scale brain communication by shaping distinct functional connectivity patterns.

This study finds that coronary artery disease is associated with demyelination and increased iron deposition in white matter watershed regions, which correlate with cognitive decline.

The paper examines how changes in functional connectivity during rest and task relate to Alzheimer's pathology and episodic memory in older adults.

This study identifies white matter microstructural alterations in older adults with coronary artery disease using a multivariate approach and links them to cognitive performance.

The paper develops a computational framework to study superficial white matter organization using 3D histology and 7T MRI, finding high structural complexity in the first 2 mm below the cortical boundary and correlations with cortical geometry and connectivity.

This paper maps global cortical organization by integrating microstructural, connectivity, and functional data with cytoarchitectural maps, revealing a sensory-fugal gradient and functional diversity across brain areas.

The paper shares a multimodal 7T MRI dataset of ten healthy individuals, providing structural and functional brain data across multiple imaging modalities and parcellation scales.

The paper examines sex-specific and APOE4-related associations between cardiometabolic risk factors and white matter microstructure in individuals with a family history of Alzheimer's disease.

This paper introduces a novel method to map the aggregate g-ratio of white matter tracts using multi-modal MRI and compares it to conventional tractometry in healthy adults.

The paper identifies joint signatures of microstructural and morphological changes in the Alzheimer's spectrum using MRI metrics and non-negative matrix factorization, linking them to risk factors and disease progression.

The paper examines age-related trajectories of MRI cortical markers and finds high spatial overlap but divergent age trends, suggesting different microstructural origins for these markers.

This study assesses white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease by analyzing signal measures from different MRI contrasts and their associations with clinical variables.

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

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.

The paper reports normative values for neuromelanin-sensitive MRI (NM-MRI) signal and volume in older adults and identifies a significant annual decrease in left substantia nigra volume.

This study examines resting state functional connectivity changes after sequence-specific motor learning, finding sequence-specific decreases in the right supplementary motor area during overall learning.

This study examines the impact of MRI scanner upgrades and volumetric navigators on structural and spectroscopy indices, finding mixed reliability and changes in brain measurements.

This study uses shape analysis to examine hippocampal changes across age and finds age-related shape changes linked to sex, education, and cognition.

This study investigates white matter microstructural changes during short-term motor sequence learning using MRI scans and finds significant changes in early learning phases and functional connectivity.

The paper examines age-related changes in hippocampal subfield volumes across the lifespan and shows that MR sequence affects volumetric estimates.

This paper demonstrates that perfusion-based in situ fixation of ex vivo brains preserves structural integrity and antigenicity, enabling accurate MRI and histological analysis up to 10 months post-mortem.

This paper presents a high-resolution atlas of the human venous brain vasculature using 7T MRI data to characterize vessel location, diameter, and curvature.