Taylor Hanayik

The paper introduces FMRI quality control tools in AFNI, providing systematic, in-depth, and interactive QC features for preprocessing pipelines.

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.

The paper proposes using the second derivative (DoG) for edge detection in MRI coregistration, improving alignment quality by generating closed surfaces and reducing intensity dependency.

This paper investigates how the electric field induced by tDCS in the motor cortex correlates with changes in GABA levels, finding that grey matter volume modulates this relationship.

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.

The paper expands genetic associations with brain imaging phenotypes using updated UK Biobank data, finding more genetic variants and associations, including on the X chromosome.