Heath Pardoe

SYNGAP1 haploinsufficiency disrupts early neurodevelopment and accelerates intrinsic neuronal maturation in human patient-derived models

This study investigates SYNGAP1 haploinsufficiency in human patient-derived models, showing disrupted early neurodevelopment and accelerated neuronal maturation.

Sex-related structural alterations across common epilepsies: a worldwide ENIGMA study

This study examines sex differences in structural brain alterations in common epilepsies using neuroimaging data from a large international cohort, finding some regional differences but no significant sex-by-diagnosis interactions.

Multilayer Network Modelling of the Human Reading System

The paper uses multilayer network modelling to analyze fMRI data and shows that reading ability correlates with specific dynamic interactions within the reading network, particularly involving the left fusiform gyrus and inferior frontal gyrus.

Common pitfalls during model specification in psychophysiological interaction analysis

This paper identifies and corrects common methodological issues in psychophysiological interaction analysis that compromise model validity.

A worldwide ENIGMA study on epilepsy-related gray and white matter compromise across the adult lifespan

This study examines age-related changes in grey and white matter in TLE patients across the adult lifespan, finding accelerated aging effects after age 55.

Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium

The paper demonstrates a data harmonization process for memory testing across 53 studies, reducing inter-site variance while preserving covariate effects.

In-scanner head motion and structural covariance networks

This study shows that in-scanner head motion increases variability in gray matter volume estimates and alters structural covariance networks, suggesting motion introduces error in neuroanatomical connectivity analyses.

Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video

This paper trains a convolutional neural network to estimate head pose changes during structural MRI using eye tracker video, showing correlations with cortical thickness and subcortical volume changes.

White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA Epilepsy study

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

NAPR: a cloud-based framework for neuroanatomical age prediction

NAPR provides a cloud-based framework for age prediction using neuroimaging data, demonstrating models trained on multiple datasets.