Cerebellar involvement has been implicated in a large spectrum of disorders. Reduced cerebellar volumes have been reported in alcoholism, autism spectrum disorders, schizophrenia, mood disorders, and essential head tremors. As an example of the work demonstrating the more widespread role of the cerebellum in brain function, Sullivan and colleagues have demonstrated impairment in static upright balance with excessive sway in individuals with pathology of the anterior superior vermis, and have shown that alterations in nodes of the frontocerebellar circuitry can predict executive dysfunction in prefrontal regions. There has been an explosion of studies in the last decade examining functional brain networks using task-activated fMRI, and resting state functional connectivity MRI . For the most part, cerebellar morphometric studies and studies of the cerebellar components of brain networks have been ignored, largely as a consequence of lack of tools to support such investigations. The time is ripe for reliable and valid tools to support such studies. We believe that a cerebellar analysis toolkit (CATK) not only has a waiting audience and market, but its availability will act as a catalyst for the incorporation of the cerebellum in studies of brain structure and function, and thus will be of great significance. ! The goal of this SBIR project is to develop an integrated cerebellar segmentation / parcellation and analysis suite. The core component will be MR image delineation of the cerebellum and its subregions. The suite will include a comprehensive set of image and surface analysis tools, including the capability for shape analysis of cerebellar structures, and for visualization and surface editing. We will develop an integrated analysis environment with high performance tools implementation on GPUs using CUDA. CATK will have three major components: 1) cerebellar delineation, 2) A CUDA-based surface and image processing toolbox, and 3) A CUDA/openGL based rendering/surface editing tool. The product will provide a low cost means for extracting valuable information from existing MR image databases as well as from new data.

Public Health Relevance

Cerebellar involvement has been implicated in a large spectrum of disorders. Reduced cerebellar volumes have been reported in alcoholism, autism spectrum disorders, schizophrenia, mood disorders, and essential head tremors. The goal of this SBIR project is to develop an integrated cerebellar segmentation / parcellation and analysis suite. Which will help give further insight into the significance of this structure in a myriad of diseases, helping to deepen our understanding of the cerebellum

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43AA021945-01A1
Application #
8056940
Study Section
Special Emphasis Panel (ZRG1-ETTN-K (10))
Program Officer
Matochik, John A
Project Start
2012-06-01
Project End
2014-05-31
Budget Start
2012-06-01
Budget End
2013-05-31
Support Year
1
Fiscal Year
2012
Total Cost
$134,999
Indirect Cost
Name
Neurobehavioral Research, Inc.
Department
Type
DUNS #
070950972
City
Honolulu
State
HI
Country
United States
Zip Code
96814
Price, Mathew; Cardenas, Valerie A; Fein, George (2014) Automated MRI cerebellar size measurements using active appearance modeling. Neuroimage 103:511-21