Alexandre R. Franco

The paper examines sex differences in functional brain connectivity across youth, finding that males show greater network integration while females show greater network segregation along the sensorimotor-association axis.

This study shows that awake memory reactivation is embedded in dynamic whole-brain states that influence memory retention outcomes.

Resting-state fMRI intrinsic timescale lengthens with age in association, not sensorimotor, cortex during ages 8-22, following the sensorimotor-association axis in two cohorts; it is largely age-stable in young adults.

This study links childhood environmental exposures to white matter structure in children, showing that advantaged environments correlate with larger white matter tracts and reduced orientation dispersion.

This study uses resting-state fMRI to predict seizure onset zones in drug-resistant epilepsy patients, achieving high accuracy in identifying epileptogenic regions non-invasively.

This study identifies two axes of white matter development in human cortico-cortical tracts using diffusion MRI across three datasets, revealing non-uniform maturation patterns.

The paper uses AI to analyze clinical interviews of youths with ADHD and ASD, finding distinct behavioral features that differentiate the conditions despite overlapping traits.

The paper introduces Reproducible Brain Charts (RBC), an open data resource integrating brain development data from 6,346 youth, showing the benefits of harmonized phenotypes and reproducible processing for studying psychopathology.

The paper presents HBN-EEG, a FAIR-formatted EEG dataset from the Healthy Brain Network project, including behavioral annotations and task data for over 2,600 participants.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

The paper evaluates the impact of different preprocessing pipelines on functional MRI reproducibility and shows moderate inter-pipeline agreement, affecting brainwide association study consistency.

The paper shows thalamocortical connections develop along a sensorimotor-association gradient in youth, linking structural connectivity to cortical plasticity and environmental sensitivity.

This paper introduces a method to estimate spatially fine-grained connectivity gradients efficiently, enhancing brain-behavior predictions without reducing spatial resolution.

The paper examines how functional connectivity develops along the sensorimotor-association axis during childhood to adolescence, finding that sensorimotor connectivity increases while association connectivity decreases, reinforcing cortical hierarchy.

The paper introduces BABS, a Python package for reproducible and scalable neuroimaging data processing using BIDS Apps and HPC systems.

The paper introduces an open-access dataset combining EEG and fMRI data from naturalistic viewing tasks to study brain function and preprocessing methods.

This paper introduces COINSTAC Vaults to enhance collaborative neuroimaging research through federated analysis and reproducibility by hosting standardized datasets.

The paper curates and provides analysis-ready diffusion MRI data for pediatric brain white-matter research, including automated quality control using a trained neural network.

CuBIDS streamlines reproducible curation of large BIDS datasets by validating metadata, managing variability, and preparing data for preprocessing pipelines.

This study compares two MRI sequences, MPRAGE and MPRAGE+PMC, finding that MPRAGE+PMC offers higher intra-sequence reliability but lower quality control metrics compared to MPRAGE.

This paper evaluates test-retest reliability of multilayer network measures in neuroimaging, identifying methodological factors affecting reliability and task-specific requirements.

This paper validates a method to estimate eye gaze from fMRI during naturalistic viewing and identifies head motion as a key factor affecting its accuracy.

The paper examines neural correlates of exceptional memory in SuperAgers using PET and MRI, finding increased FDG SUVr in the left subgenual ACC and reduced connectivity between sACC and posterior cingulate.