Eugene Paul Duff

The paper examines how proximity to tangle-bearing neurons affects transcriptional states in human entorhinal cortex cells, finding that nearby neurons and glia show distinct molecular signatures related to disease.

This study shows that single-cell experiments often lack power to detect small-effect genes, even with 600 donors, and highlights the impact of sequencing depth and cell counts on results.

The paper identifies intrinsic molecular features of calbindin-expressing neurons in the entorhinal cortex that contribute to their vulnerability in Alzheimer's disease and suggests potential therapeutic targets.

Precon_all is a pipeline for non-human cortical surface reconstruction that generalizes human methods to multiple species, enabling comparative neuroimaging studies.

The paper describes the release of a large fetal fMRI dataset and presents methods for its preprocessing and analysis to study in utero brain connectivity.

This study examines dynamic functional connectivity in neonatal brains using fMRI and links it to neurodevelopmental outcomes in early childhood.

The paper shows that functional connectivity gradients in resting state networks are present in the human fetal brain from 25 weeks gestation, with spatial consistency increasing in primary sensory and motor networks.

This paper introduces a new analytical framework called matnets to study fetal brain connectivity, revealing that high-level associative areas develop functional connections before birth.

The paper investigates structural and functional asymmetry in the neonatal cerebral cortex using MRI data from term and preterm neonates and adults.

The paper examines how functional brain centrality develops in neonates and how preterm birth affects it, finding age-related changes and regional differences but no direct link to 18-month neurodevelopmental outcomes.

The paper identifies a stable structural connectome fingerprint in preterm neonates that can distinguish individuals more effectively than functional connectomes.

This paper harmonises white matter hyperintensity measurements across two neuroimaging datasets by standardising preprocessing and modelling demographic and physiological differences.

The paper uses functional and diffusion MRI to predict infants' noxious-evoked brain activity from resting-state data and links it to white matter microstructure.

The paper analyzes neonatal functional MRI data to study functional connectivity in term and preterm infants, finding age-related maturation and preterm birth-related disruptions in brain networks.

This paper creates a common space for comparing pig and human structural connectomes to assess the translational validity of porcine neurological disease models.

This paper introduces an automated pipeline for processing neonatal resting-state fMRI data, improving motion correction and quality assurance in the developing Human Connectome Project.

The paper extends probabilistic functional modes to model subject variability in fMRI data, showing spatial maps capture most cross-subject variability and functional coupling reflects cognitive state.

This paper translates adult fMRI pain signatures to infants, finding similar basic nociceptive encoding but differences in higher-level cognitive modulation of pain.

The paper shows that whole-brain functional connectivity patterns remain consistent across different task states, despite changes in brain activation.

This paper introduces the Additive Signal Change (ASC) method to improve the specificity of functional connectivity analysis by disambiguating signal changes underlying neural activity correlations.

The paper introduces a fully automated pipeline for neonatal cortical surface reconstruction from MRI, achieving high accuracy in 85% of cases.

The paper uses fMRI data to predict emotional valence and pharmacologic effects of antidepressants, finding consistent emotional valence patterns but inconsistent drug-placebo discrimination.

The paper uses high-field fMRI and geospatial analysis to identify topographically clustered signals for binocular stereo depth in human visual cortex.