Mark Brown, PhD
Dr. Brown’s interests are in using MR tools such as magnetic resonance spectroscopy (MRS – 1H and 31P), diffusion tensor imaging and tractography to study a variety of diseases. Current project involvement includes:
- Spectroscopic determinations of neurotransmitters such as glutamate, glutamine, and GABA in autism and schizophrenia.
- 1H MRS determination of muscle lipids and muscle mitochondrial function (via 31P MRS) in diabetics.
- MRI and MRS correlates of cognitive function in SLE (lupus).
- Longitudinal study of cerebral and neurocognitive function in HIV-Infected persons with a history of advanced disease on HAART.
- MRS for quantification of liver fat in infancy.
Kavita Garg, MD
Dr Garg’s research focuses on quantitative imaging in oncology using PET and CT. Active projects include:
- National Lung Screening Trial (NLST), a multicenter imaging trial sponsored by the National Cancer Institute (NCI), to compare lung cancer mortality rates in high-risk individuals who are screened by either low-radiation-dose CT or chest radiography.
- Efficacy of computer aided diagnostic schemes for characterization of malignant nodules and masses.
- Assess tumor response by RECIST and volumetrics. (SWOG protocol).
Ann Scherzinger, PhD
Dr Scherzinger’s research interests include the use of US, MRI and CT to characterize abdominal tissue, adiposity and bone structure and the use of informatics for workflow enhancement and data mining. Active project involvement includes:
- CT measures of the effect of COX inhibition during exercise on muscle metabolism in aging.
- Correlation of liver adiposity by MRI with measures of insulin sensitivity in adolescence
- Magnetic Resonance Imaging for quantification of depot-specific adiposity and liver fat in infancy
- Consistency of protocol definition on PACS and it’s effect on developing hanging protocols
- CT measures of changes in trabecular and cortical bone density in response to exercise-induced weight loss in postmenopausal women
Jody Tanabe, MD
Dr Tanabe’s research involves the development and use of fMRI techniques for neuroimaging. Active projects include:
- Investigation of neural correlates of negative reinforcement learning and their relationship to negative affective states in substance dependence.
- Use of a computational model of decision-making to test hypotheses about the role of fronto-striatal networks in the processing of magnitude compared to frequency information in substance dependent individuals.
- Use of fMRI to examine the neural substrates of decision making in substance dependent adolescents.
- Development of an accurate statistical map of memory activation in the hippocampus (and associated structures in the limbic system such as cingulate cortex) in older subjects.
- Participation in a center grant to investigate the use of behavioral, neuroimaging, and computational methods to examine executive function.