Modeling Developmental Change: Practical Integration of Advanced Neuroimaging and Statistical Methods

  • Byrne, Michelle (Primary Chief Investigator (PCI))
  • Sabb, Fred (Chief Investigator (CI))
  • Mills, Kathryn L. (Chief Investigator (CI))
  • Allen, Nicholas Brian (Chief Investigator (CI))
  • Pfeifer, Jennifer H. (Chief Investigator (CI))

Project: Research

Project Details

Project Description

National Science Foundation: USD$19,900.
Neuroimaging techniques, including magnetic resonance imaging (MRI), have allowed researchers to investigate the neural bases of developmental changes in cognition. In recent years, it has become more common for researchers to obtain multiple measures of the same individual across development. These longitudinal MRI datasets require special consideration for processing and analysis, yet the field as a whole has not standardized best practices for these datasets, which could be one reason why it is difficult to replicate results across laboratories and research studies. A two-day workshop will be open to 60 developmental neuroimaging researchers and will teach best practices for processing, analyzing, modeling, and interpreting longitudinal neuroimaging data. This will help researchers conduct robust and consistent research on how the brain and cognition change across development.
Effective start/end date1/06/1731/05/18