Connor Scott

This paper develops a hybrid diffusion MRI-microscopy tractography method to improve 3D brain connectivity reconstruction by combining high-resolution microscopy with diffusion MRI data.

The paper uses long-read RNA-seq to study splicing changes in an Alzheimer's mouse model, identifying novel transcript isoforms and alternative splicing events in response to amyloid-beta.

The paper introduces the BigMac dataset, combining multi-contrast MRI and microscopy data from a macaque brain, enabling multimodal analysis across scales and tissue states.

This paper introduces an automated pipeline to extract quantitative histological metrics for voxelwise MRI-histology comparisons and finds activated microglia strongly predicts DTI FA, suggesting diffusion MRI sensitivity to neuroinflammation.

The paper introduces the Digital Brain Bank, an open access platform providing curated post-mortem neuroimaging datasets across species and modalities for neuroanatomical and neuropathological research.

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.