Principal Investigator


Semi-Automated Shape Analysis (SASHA)

M. Miller, JHU Morphometry BIRN

The SASHA project is developing a seamless and robust processing pipeline among multiple institutional sites that segments sub cortical structures from structural MRI data, computes the geodesics in the space of infinite dimensional diffeomorphisms, visualizes results and enables statistical analyses of the results. Using statistical analysis of the shape changes of the hippocampus for a group of subjects including Normal controls, Alzheimer's disease and Semantic Dementia, we were able to identify grouping of subjects.

CardioVascular Research Grid (CVRG) project

R. Winslow, M. Miller, L. Younes, J. Ratnanather

The aim of the CardioVascular Research Grid (CVRG) project is to create a grid infrastructure for sharing cardiovascular data and data analysis tools. The CVRG will support national and international multi-institutional collaborations in cardiovascular science, and will build on and extend tools developed in the caBIG and BIRN projects. The CVRG project is supported by the National Heart Lung & Blood Institute. The project is based at the Institute for Computational Medicine at Johns Hopkins University, in collaboration with the Department of Biomedical Informatics at The Ohio State University, and the Center for Research in Biological Systems at the University of California, San Diego. Project 4 is focused on Grid-Tools for Cardiac Computational Anatomy.

Alzheimer's Disease Neuroimaging Initiative (ADNI)

A. Dale, UCSD

Alzheimer's disease (AD) is the most common cause of dementia in the elderly. Amnestic mild cognitive impairment (MCI) with memory dysfunction often precedes the onset of AD. We assessed the surface deformation of the subcortical circuits in structural magnetic resonance data of 383 subjects to optimally distinguish amnestic MCI and AD.

Mouse - Parkinsons, FragileX

M. Ellisman, UCSD M. Martone UCSD

Shape analysis of dendrite spines from animal models of Parkinsons' Disease and Fragile X may help understand subtle anatomical changes in the synapse structure in neurotransmission. Segmented spines were obtained from the NCMIR facility at UCSD (Ellisman and Martone) and processed for LDDMM analysis.

Shape Analysis of Hippocampus in Twin Study of Depression

K. Botteron, Wash. U

This study involves shape analysis of the hippocampus in a group of young female twins, some of whom have been diagnosed with Major Depressive Disorder. Surface mapping of subjects is underway to determine what shape changes in the hippocampus can be related to Major Depressive Disorder, and what indicators for early detection may be present.

Healthy Aging and Senile Dementia

J. Morris, Wash. U T. Ratnanather, JHU

We are studying the time-dependent changes in the hippocampus in subjects with very mild dementia of the Alzheimer type as compared to nondemented control subjects. The hippocampal data consist of surfaces for each subject at multiple time points (average scan interval is approximately 2 years): all subjects have at least two time points, one third have three, and some have four or five. We are applying surface-based LDDMM and parallel translation to bring all surfaces into correct, template-based, registration in order to analyze local, longitudinal, changes.

ADHD and Autism

S. Mostofsky, JHU/KKI

Autism is affecting an increasing number of children, yet the neurobiologic underpinnings of the disorder remain poorly defined. Identification of biomarkers of pathology are critical in neurological disorders; such insights have contributed to important advances in the clinical care of patients with adult neurodegenerative disorders such as Parkinson's, Huntington's and Alzheimer's diseases, as well as developmental disorders such as dyslexia, Down syndrome and Rett syndrome. It follows that identifying these biomarkers in autism is crucial. Shape analysis of brain structures to measure changes in autism.

Multi-Center Research on Alzheimer's Disease

M. Ewers, University of Munich

The project aims to apply lddmm for multicentre semi-automated MRI-based hippocampus volumetry and shape analysis in a sample of patients with Alzheimer's disease and mild cognitive impairement. MRI scans have been collected both cross-sectionally and longitudinally over a 2 year period in over 800 patients. Manual volumetry of the hippocampus is currently being performed in these patients for validation purposes. Automated volumetry and topology will be eventually tested for application as a potential biomarker for the detection and prediction of Alzheimer's disease across centers.

Vietnam Era Twin Study of Aging (VETSA)

A. Dale, UCSD

The Vietnam Era Twin Study of Aging is using Morphometric and diffusion imaging to better understand genetic correlates of brain changes. University of California at San Diego (UCSD) has provided surface files for the left and right hippocampus of twenty twin pairs.