Welcome Mark Zinn to the board and to the treasurer position.
Mark Zinn has a diversified background in quantitative EEG, psychology, computer science, graphic arts, performing arts and applied psychophysiology. Mark also has a background in computer programming in C, web design in WordPress and PHP, and database development. Between 2012 and 2014, Mark was a neuroimaging research consultant Chronic Fatigue Syndrome Initiative at Stanford University Medical School, Dept. of Infectious Diseases and Geographic Medicine. The challenging task has been to examine neural substrates underlying CFS neurocognitive impairment, and to link the patients’ symptoms and complaints with neuroimaging evidence. During that time, Mark analyzed quantitative EEG data collected from patients and controls using a variety of measures (e.g., peak frequencies, spectral analysis) and source localization using exact low resolution electromagnetic tomography (eLORETA). These novel time-sensitive analyses demonstrated a neurobiological basis to the cognitive symptoms being reported by patients. In 2015, Mark continued electrophysiological research projects at the Center for Community Research at DePaul University in Chicago Illinois, under the direction of Dr. Leonard Jason. Today, Mark is using MATLAB brain connectivity toolkits with newer, more relevant graph theory functions that allow functional modeling of complex networks in patients, including brain network visualization of brain system dynamics. Mark is currently a graduate student at DePaul pursuing his doctoral degree in Community Psychology.
Congratulations to Jon Frederick on his election as Sergeant at Arms.
Jon Frederick, PhD earned his degree in experimental psychology in Dr. Joel Lubar’s lab at the University of Tennessee, Knoxville. He has worked as a postdoctoral fellow at the UT Health Sciences Center-Houston and the University of Minnesota, researching topics such as MRI in Autism, evoked potentials in ADHD and the efficacy of neurofeedback for dementia. His current research focuses on mechanisms of learning in physiological self-regulation and interactions between EEG state discrimination and standard neurofeedback training. Currently a research-track faculty at Middle Tennessee State University, he has authored or co-authored 53 scientific publications and conference presentations.