This work examines the effect of lithium treatment in bipolar disorder on the structure of the hippocampus and amygdala.

Cloud based processing, atlas mapping, and visualization of massive neuroimages for multiple species and modalities.

This work discusses atrophy in the medial temporal lobe during the progression of early Alzheimer's disease.

This work discusses the association between visbular function (measured through cervical vestibular-evoked myogenic potential) and brain structures of interest using imaging data from the Baltimore Longitudinal Study of Aging.

This work discusses time dependent models of shape changes to study neurodegeneration.

We developed optimal control formulations for parameterizing deformations and features described at multiple scales. This work is contributing to brain atlasing initatives for microscopy images.

This work discusses the challenges of 3D printing hippocampi from annotated post mortem MRI. This work will help visualize subtle changes to complex anatomy during the disease.

As acquiring bigger data becomes easier in experimental brain science, com-putational and statistical brain science must achieve similar advances to fullycapitalize on these data. Tackling these problems will benefit from a moreexplicit and concerted effort to work together. Specifically, brain sciencecan be further democratized by harnessing the power of community-driven tools, which both are built by and benefit from many different people with different backgroundsand expertise. This perspective can be applied across modalities and scales and enables collabora-tions across previously siloed communities.

We develop methods for accurate image registration between images of different modalities, possibly in the presence of damaged or missing tissue. We use this approach to build the first 3D reconstruction of tau tangle pathology in the medial temporal lobe for an individual who died of Alzheimer's disease.