Karla L. Miller

This paper introduces DIPPI, a new MRI technique that estimates the g-ratio per fibre population in crossing voxels, improving myelin quantification in complex white matter regions.

This paper introduces a reformulated low-rank fMRI reconstruction method with L2 constraints, showing improved reconstruction quality at higher acceleration factors and lower SNR.

This paper proposes using two-flip angle DW-SSFP data and a Gamma distribution model to correct for B1 inhomogeneity and improve diffusivity estimates in post-mortem human brains at 7T.

This paper identifies and analyzes potential confounds in UK Biobank brain imaging data, emphasizing their impact on statistical analyses and suggesting considerations for future studies.

The paper describes a pipeline for quantitative susceptibility and R2* mapping in post-mortem brains and compares results between ALS patients and controls using histology validation.

This paper presents a semi-automated method for dense segmentation of 3D white matter EM data, producing detailed annotations of cellular and subcellular compartments.

The paper identifies 62 distinct modes of brain aging from multimodal imaging data, showing varied genetic and lifestyle associations.

This study shows that somatosensory experience in adult rats alters white matter structure and myelin-related gene expression, suggesting myelination as an underlying mechanism.

The paper introduces a pipeline for automatically aligning histological images with whole-brain MRI data, achieving sub-millimetre accuracy and outperforming manual methods.

This paper improves statistical efficiency in simultaneous multi-slice fMRI by introducing temporally adaptive regularization, enhancing tSNR and GLM efficiency while reducing noise amplification.

This paper proposes a joint model for diffusion MRI and microscopy data to improve microstructural analysis by combining complementary information from both modalities.

The paper evaluates methods for estimating brain age delta from brain imaging data and identifies variables strongly correlated with it using UK Biobank data.

This study examines the visual network in a Rhesus macaque lacking primary visual cortex, finding an intact extrastriate network but no enhanced subcortical input to V5/MT.

This study investigates white matter degeneration in the perforant path of ALS patients using diffusion MRI, polarized light imaging, and immunohistochemistry, finding significant changes in fractional anisotropy and myelin density.

The paper uses MRI data to show that white matter microstructure predicts functional connectivity between brain regions, with genetic variants linked to this relationship.

This paper introduces a novel MRI reconstruction method that achieves higher acceleration factors than conventional techniques without loss of resolution.

This paper introduces a trace-based correction method to reduce breathing-induced ghosting artifacts in spinal cord T2*-weighted imaging, improving quantitative metrics and temporal signal-to-noise ratio.

This study performs genome-wide association analyses on brain imaging phenotypes from UK Biobank, identifying 148 significant SNP-imaging associations with potential relevance to neurological and psychiatric disorders.

The paper describes an automated processing and quality control pipeline for brain imaging data from the first 10,000 UK Biobank participants.