Stuart Oldham

The paper maps cerebellar functional connectivity in neonates, identifying intrinsic networks and cerebro-cerebellar clusters that mature with age, suggesting early foundations of adult organization.

The paper presents a game-theoretic model showing human cortical networks prioritize computational reliability over communication efficiency and wiring cost.

This paper develops a geometric model of cortical connectomes that outperforms existing approaches in reproducing topological and topographical properties across multiple species.

This study examines the development of functional brain gradients in neonates using resting-state fMRI, finding that short- and long-range connectivity patterns parallel the emergence of macroscale brain organisation.

This study examines how thalamocortical innervation timing and spatial distribution influence cortical network formation during gestation, finding that hubs emerge from spatiotemporal constraints rather than preferential targeting.

The paper identifies prenatal transcriptomic signatures of network hubs in the neonatal human brain, showing how early gene expression programs shape brain network connectivity.

This study introduces a heterochronous generative network model to better capture the spatial and temporal aspects of brain network development, improving model fit and identification of individual differences.

The paper benchmarks overlapping community detection methods on human connectomes, finding OSLOM best identifies overlapping structures and reveals hierarchical cortical organization.

The paper examines how pre- and postnatal factors influence human cortical microstructure using MRI data from neonates, finding distinct effects on microstructural density and homogeneity.

The paper examines white matter volume deviations in psychiatric disorders using normative modeling, finding heterogeneous patterns with some aggregation in autism and schizophrenia.

This study shows that generative network models fail to capture the spatial embedding of long-range brain connectivity, highlighting issues with current model evaluation methods.

This study maps thalamocortical connectivity in infants using diffusion MRI and finds a conserved anterior/posterior gradient that matures during gestation.

The paper presents a 3D digital atlas of the human fetal brain at 21 weeks gestation, revealing molecular signatures of cortical expansion linked to neurogenesis timing and evolutionary boundaries.

This study examines how thalamocortical connectivity changes with age and contributes to the development of large-scale functional brain networks from infancy to young adulthood.

This study identifies a medial-lateral thalamic axis of genetic and connectomic variation linked to cortical projections and neurodevelopmental disorders.

This study evaluates how different diffusion MRI processing pipelines affect the identification of connectome hubs in humans, finding significant variability in hub location and connectivity based on processing choices.

This study develops a model to capture wiring cost and topological complexity in human brain connectivity but finds models struggle to capture spatial embedding.

This paper shows that fMRI preprocessing choices significantly affect dynamical models of brain activity, highlighting the importance of data quality in model accuracy.

This study shows that regional transcriptional heterogeneity in excitatory and inhibitory receptor gene expression improves the accuracy of models of brain functional connectivity and supports complex neuronal dynamics.

This study identifies genetic influences on hub connectivity in the human connectome using diffusion-weighted imaging in twins and transcriptomic data.

This study evaluates how different preprocessing steps affect motion-related contamination in diffusion MRI structural connectivity estimates, finding that specific motion correction methods significantly reduce cross-subject correlations between motion and connectivity strength.

This study shows that individual differences in haemoglobin levels affect BOLD fMRI functional connectivity and its relationship with cognition, with sex-specific patterns observed.

The paper shows that fMRI timescales correlate with structural connectivity strength in humans, mirroring findings in mice.