Brian A. Gordon, PhD
Assistant Professor of Radiology
Research Centers:Neuroimaging Labs Research Center
Lab:Brian Gordon Lab
Brian A. Gordon, PhD, is an assistant professor of radiology and a principal investigator in the Neuroimaging Labs Research Center, based in Mallinckrodt Institute of Radiology (MIR) at Washington University School of Medicine in St. Louis, as well as an assistant professor of psychological & brain sciences and biomedical engineering. He is also a faculty member in the Neuroscience PhD program and the interdisciplinary Data Science PhD program. Trained as a cognitive neuroscientist, Gordon’s research focuses on utilizing advanced neuroimaging techniques such as PET and MRI to understand the complex biology of healthy aging and neurodegenerative disorders. He takes a systems level approach and is interested in how a myriad of factors including genetics, environmental exposures and social influences can act to promote or hinder successful aging.
Gordon completed his doctorate at the University of Illinois, where he utilized MRI, optical imaging and electrophysiological measures (EEG/ERPs) to study aging. After completing a fellowship at Washington University, he transitioned to faculty and obtained an NIH K01 award, which supports early career researchers. He currently leads a project to study tau pathology in autosomal dominant Alzheimer pathology (U19AG032438), is a site-PI on a collaborative study to understand tau pathology (R01AG075336), and is a member of the Knight ADRC imaging core, which supports multiple major grants studying sporadic Alzheimer’s disease. He has also received funding from the American Society for Neuroradiology, the Alzheimer’s Association, the Michael J. Fox Foundation and the Donor Cures Foundation.
Healthy aging, Alzheimer's disease, neuroimaging, biofluids, cognition, neuropsychology, genetics, modifiable lifestyle factors
Link to Publications
Hope Center for Neurological Disorders
Knight Alzheimer’s Disease Research Center
Associate Editor, Psychophysiology
Organizer, Neuroimaging Informatics and Analysis Center lecture series