MRI Segmentation, Analysis, and Visualization
BrainSuite is a collection of open source software tools that enable largely automated processing of magnetic resonance images (MRI) of the human brain. The major functionality of these tools is to extract and parameterize the inner and outer surfaces of the cerebral cortex, to segment and label gray and white matter structures, and to analyze diffusion imaging data. BrainSuite also provides several tools for visualizing and interacting with the data. BrainSuite is supported by NIH Grant R01-NS074980 (PIs: David Shattuck and Richard Leahy).
Perturbation of the Treatment Resistant Depression Connectome by Fast-acting Therapies
Connectomes Related to Human Disease
We are working with Dr. Katherine Narr and her research team on the Fast Acting Treatments of Depression project (NIH Grant U01 MH110008). This project will leverage optimized non-invasive MRI technologies and normative data available through the NIMH/NIA-funded Human Connectome Project to: 1) identify connectome-specific correlates and predictors of successful treatment outcome to 3 therapeutic interventions, each with a rapid onset of action; and 2) characterize alterations in neural connectivity associated with individual clinical, behavioral and physiological differences across treatment resistant depression.
Our group is working on the development of the image processing framework for this project.
Hippocampal Sclerosis in Patients with Calcified NCC Characterizing
BRAIN Initiative project
We are working with Dr. Hector Garcia at the University Peruana Cayetano Heredia to analyze data from subjects affected by neurocysticercosis (NIH Grant R21 NS094976; PI: Garcia). Taenia solium neurocysticercosis (NCC) is a parasitic infection causing much neurological disease, particularly epilepsy, in most of the world. Old calcified brain parasitic NCC lesions are associated with damage to human hippocampal structures (hippocampal sclerosis, HS). The goal of this study is to assess a large existing cohort of individuals with calcified NCC to determine the proportion of them who have HS, the factors associated to HS, and to characterize the particularities of HS in NCC patients.
Defining Cell Types, Lineage and Connectivity in Developing Human Fetal Cortex
BRAIN Initiative project
We are working with Dr. Daniel Geschwind and his group team on developing new methods for analyzing fluorescence microscopy images of CLARITY data, funded by a BRAIN Initiative grant (NIH Grant U01 MH105991; PI: Geschwind). The goal of this project is to develop novel methods and tools to identify the individual cell classes that compose the human fetal cortex, determine the lineage of progenitor cell classes, and map the location, morphology, and connectivity of each cell class.