Robert Elton Smith

The paper uses longitudinal dMRI data to show that subcortical visual pathways weaken while cortical pathways strengthen during early adolescence, with both linked to faster visual processing.

This paper introduces a framework for longitudinal quantitative streamline tractography that reduces spurious changes in white matter connectivity estimates by fixing trajectories and varying density weights between sessions.

This study investigates postoperative atrophy in non-resected brain regions following resective neurosurgery, linking it to transneuronal degeneration and showing that structural network reorganisations may be artifacts of image processing.

TRAMFIX evaluates the reproducibility of fixel-based analysis across multiple MRI scanners and finds high reliability for whole-brain and tract-level metrics, with some variability at the fixel level.

Robust-tedana improves automated denoising of multi-echo fMRI data, enhancing both single-subject and group-level analysis accuracy.

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 evaluates the Vogt-Bailey Index in task-based fMRI across different pulse sequence protocols, finding it consistently identifies motor cortex connectivity despite protocol variations.

The paper re-evaluates the comparative explanatory power of geometric and connectome eigenmodes in predicting brain activity, finding that connectome eigenmodes can achieve comparable accuracy when improved connectome mapping is used.

The paper provides a large-scale connectome resource for 40,000 UK Biobank participants, including structural and functional brain networks with multiple parcellations and preprocessing techniques.

This paper introduces Connectome Spatial Smoothing (CSS) to improve the reliability and sensitivity of structural connectomes by applying spatial smoothing to tractography 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 uses NODDI to examine age-related changes in neurite density and orientation dispersion in children's white matter, finding increases in density but no change in dispersion.

The paper quantifies white matter development in early childhood using fixel-based analysis and finds greater morphological than microstructural changes.

The paper proposes a method to correct over-estimation of white matter bundle connectivity in diffusion MRI when axons are truncated due to pathology.

MRtrix3 provides an open-source C++11 and Python software framework, command-line suite, and OpenGL 3.3 viewer for fast multi-dimensional medical image processing and diffusion MRI analysis.

The paper evaluates whether removing weak connections from dense weighted structural connectomes is necessary for graph-theoretical analysis and finds it is not required.

This study uses longitudinal fixel-based analysis to show increased white matter fibre density and cross-section in specific brain regions over 16 months, with no significant effect of pubertal stage.

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