Christopher J. Steele

This paper maps sleep spindles and slow oscillations across the brain using MEG and EEG, showing that single scalp derivations provide a selective and composite view of these rhythms.

This study examines regional white matter hyperintensity (WMH) burden in coronary artery disease (CAD) and finds that CAD is associated with higher WMH volumes, with CABG linked to greater superficial WMH burden than PCI.

This paper introduces EEG-ChiMamba, a state space model for dementia detection from rs-EEG, achieving 57.65% accuracy on a large dataset.

This study identifies white matter microstructural alterations in older adults with coronary artery disease using a multivariate approach and links them to cognitive performance.

The paper analyzes quantitative MRI metrics in healthy adults to understand their relationships and potential for uncovering cortical gradients.

This study identifies white matter disconnection patterns linked to proprioceptive deficits after stroke using CLSM and kinematic assessments in chronic stroke survivors.

The paper examines sex-specific and APOE4-related associations between cardiometabolic risk factors and white matter microstructure in individuals with a family history of Alzheimer's disease.

The paper examines cerebellar-cortical structural covariance in humans and finds distinct patterns between sensorimotor and cognitive networks, with implications for developmental and genetic influences.

The paper identifies structural covariation patterns between cerebellum subregions and cerebral cortex in a large cohort, revealing dissociations and novel associations with phenotypes.

The paper examines the relationship between white matter microstructure and cognitive-motor behavior using multivariate analysis, revealing distinct and overlapping associations across brain regions.

The paper introduces MVComp, a tool for computing Mahalanobis distance in brain MRI data to assess deviations from reference groups and provide insights into white matter microstructure.

This study investigates brain plasticity in the intraparietal sulcus during endovascular skill acquisition using multimodal MR imaging.

This study maps pontocerebellar connectivity using diffusion MRI tractography, revealing a rostral-to-caudal gradient in the pons associated with non-motor and motor cerebellar lobules.

This study examines resting state functional connectivity changes after sequence-specific motor learning, finding sequence-specific decreases in the right supplementary motor area during overall learning.

This study examines how sex and hematocrit influence the relationship between aortic stiffness, cerebrovascular reactivity, and cognitive function in older adults.

This study investigates white matter microstructural changes during short-term motor sequence learning using MRI scans and finds significant changes in early learning phases and functional connectivity.

The paper predicts future cognitive decline using non-brain and multimodal brain imaging data in healthy and pathological aging, finding that non-brain data and structural MRI improve predictions.

This paper presents a high-resolution atlas of the human venous brain vasculature using 7T MRI data to characterize vessel location, diameter, and curvature.

The paper examines the relationship between fitness, cerebral blood flow, and cerebrovascular reactivity in older adults, finding that higher fitness is associated with reduced cerebrovascular reactivity and altered hemodynamic responses.

This paper introduces BIDS Apps, a framework for creating portable neuroimaging analysis tools compatible with BIDS data, improving reproducibility and ease of use.