Jun Hua

Johns Hopkins University School of Medicine, Baltimore, Maryland, United States

Title: High-resolution functional MRI of differential laminar activation in the human entorhinal cortex

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Biography

Dr. Hua is an associate professor in the F.M. Kirby Research Center for Functional Brain Imaging at Kennedy Krieger Institute. He also holds a joint appointment as an associate professor in the Russell H. Morgan Department of Radiology at Johns Hopkins University. Dr. Hua received his master's (2005) and doctoral (2009) degrees in biomedical engineering and electrical engineering at the Johns Hopkins University. His doctoral training centered on the development of novel MRI technologies for in vivo physiological imaging in the brain, such as protein content and cerebral blood volume.After completing a post-doctoral fellowship in the Department of Radiology at the Johns Hopkins University from 2009 to 2010, Dr. Hua became a faculty member in the Department of Radiology at Johns Hopkins University School of Medicine and Kennedy Krieger Institute. Dr. Hua’s research has centered on the development of novel MRI technologies for in vivo functional and physiological imaging in the brain, and the application of such methods for studies in healthy and diseased brains. These include the development of human and animal MRI methods to measure functional brain activities, cerebral perfusion and oxygen metabolism at high (3 Tesla) and ultra-high (7 Tesla and above) magnetic fields. He is particularly interested in novel MRI approaches to image small blood and lymphatic vessels in the brain. Collaborating with clinical investigators, these techniques have been applied 1) to detect functional, vascular and metabolic abnormalities in the brain in neurodegenerative diseases such as Huntingdon’s disease (HD), Parkinson’s disease (PD), Alzheimer’s disease (AD) and mental disorders such as schizophrenia; and 2) to map brain functions and cerebrovascular reactivity for presurgical planning in patients with vascular malformations, brain tumors and epilepsy.

Abstract

Neuroscience of Aging