Óscar Miranda-Domínguez

This paper introduces PCM, a method to assess network assignment confidence in rs-fMRI data, improving precision with limited scan durations.

The paper examines how perceived discrimination relates to amygdala connectivity in children, finding stronger connections in BIPOC youth with higher trauma exposure.

This study identifies distinct cortical thickness and curvature patterns in autism and ADHD using harmonized, large-scale brain imaging data.

The paper estimates heritability of subcortical brain volumes in adolescents using a multi-site cohort, finding high heritability in cerebellum cortex and hippocampus.

This study shows stimulant medications affect brain connectivity in action/motor and reward-related regions, not attention networks, and mimic the effects of sleep.

The paper introduces SHAMAN, a method to assess motion impact on brain-behavior associations in fMRI studies, finding significant motion overestimation and underestimation in various traits.

This study estimates the heritability of functional brain networks in adolescents using SNP and twin data from the ABCD study, finding low genetic contributions.

This study identifies infant brain areas with adult-like functional network organization, showing less age-related variation and higher reliability, and suggests implications for using adult network models in infants.

This study shows that optimizing study design, such as increasing age variability and adding longitudinal measurements, improves replicability and effect sizes in brain-wide association studies.

The paper investigates how an individual's exposome influences functional brain network organization and cognitive functioning in youth, finding that exposome factors predict cognitive performance better than neuroimaging data.

XCP-D provides a standardized, reproducible post-processing pipeline for fMRI data, supporting multiple pre-processing pipelines and BIDS best practices.

This paper introduces Synth, a field map-less distortion correction method for fMRI data, showing comparable or better performance than field map-based approaches in pediatric and adult datasets.

The paper defines personalized functional networks in children to predict cognitive differences, finding that fronto-parietal network representation correlates with general cognition.

The paper develops a precision functional brain atlas to capture individual-specific network topography and demonstrates its utility in generating reproducible statistical maps of brain function.

This study characterizes cortical thickness development in Japanese macaques using latent growth models and identifies how maternal diet and inflammation influence regional cortical maturation patterns.

A curated collection of processed ABCD neuroimaging derivatives plus utilities for access, sharing and analysis, letting researchers exchange derivatives they cannot share through the central archive.

This study examines how pubertal timing and chronic stress affect socioemotional behavior and amygdala connectivity in adolescent female macaques, finding overlapping and distinct neural effects.

Brain-behaviour correlations in ABCD are tiny (median |r|=0.01), so samples of typical size (N=25) give inflated, irreproducible results; estimates only stabilise around N⪆2,000.

This paper identifies and removes high-frequency motion artifacts in single-band fMRI data, improving motion estimates and reducing data loss without biasing functional connectivity.

This paper develops a band-stop filter to correct respiratory artifacts in MRI motion estimates, improving data quality and demonstrating real-time implementation.

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.

This study shows that individual differences in brain connectivity predict changes in reward waiting preferences during adolescence, beyond what age alone can explain.

The paper develops a model to explain mouse brain functional connectivity by integrating anatomical connectivity, gene expression, and fMRI data, showing their synergistic role in shaping brain activity.

This study establishes data and scanning conditions for reproducible, stable, and internally valid areal parcellations in non-human primates using fMRI.