- PhD – University of Georgia
- Masters of Science – University of Memphis
- Bachelors of Science – John Carroll University
- NIH Fellow – University of Florida
- Fulbright Scholar – University of Oslo
- Young Investigator Award; American Pain Society
- fMRI: Advanced Course in Experimental Design & Image Analysis; Medical College of Wisconsin
Content Expertise/Teaching Responsibility:
• Chronic pain, neuroimaging, neuroanatomy
I have a broad background in research design and methodology with specific training and expertise in multivariate statistics, structural equation modeling (SEM), hierarchical linear modeling (HLM), and advanced neuroimaging data analysis. These skills are routinely used in my research, which focuses on modeling the neural networks, and their associated structural components, which underpin the biopsychosocial factors that influence the development and maintenance of chronic pain.
Awards & Honors:
- 2006-2009: NIH Fellow: Integrative and Transitional Pain Research (5T32NS045551-03, Robert Yezierski, Ph.D., Director)
- 2009: Young Investigator Award to the American Pain Society, San Diego, California
- 2008: Young Investigator Award to the American Pain Society, Tampa, Florida
- 2007: Young Investigator Award to the American Pain Society, Washington, DC
- 2006: Young Investigator Award to the American Pain Society, San Antonio, Texas
- 2003: Graduate School Dean’s Research Award: Examining functional brain processes using functional magnetic resonance imaging in familial dyslexia. The University of Georgia
- 2002-2003: Fulbright Scholar: statistical model of reading as a basic neurocognitive process; University of Oslo, Norway Sponsors: George W Hynd, Ed.D. (USA); Knut Hagtvet, Ph.D. (Norway)
Currently, Jason works in the Department of Physical Therapy, with an appointment in Psychological Sciences, as an Assistant Professor at the University of Missouri. His proficiencies are in methodology, research design, and data analysis. He has been extensively trained in the use of path analyses, structural equation modeling (SEM), hierarchical linear modeling (HLM), and longitudinal data analyses. Jason routinely uses these skills in my research involving the use of complex data sets to identify factors associated with temporal changes (e.g., treatment outcome), identifying neural networks and their related structural components that facilitate endogenous sleep and pain related information. His research goals are to develop a better understanding of, and treatments for, individuals with persistent issues related to sleep and/or pain. Toward this end, he has maintained over a decade of NIH funding. The results of which have led to the development of novel models of the neural-networks associated with pain, chronic pain, and placebo analgesia. Additionally, Jason’s research has helped illuminate the neural underpinnings associated with both chronic pain and chronic insomnia.
Dr. Jason Craggs’s research can be found here.