A data science toolbox for analysis of Human Connectome Project diffusion MRI

University Of Washington
RFA-MH-19-147
2019
1RF1MH121868-01
Rokem, Ariel Shalom

The Human Connectome Project provides one of the largest publicly available datasets of diffusion MRI from a sample of healthy individuals. Dr. Rokem and team will create an end-to-end pipeline for analysis of human white matter connections by using “tractometry” methods to analyze the diffusion MRI dataset from the Human Connectome Project. In tractometry, tissue properties are estimated in the long-range connections between remote brain regions. This project aims to generate a normative distribution of tissue properties in the major white matter connections, develop novel statistical methods to connect the properties of white matter connections to cognitive abilities, and create visualization tools to further explore and communicate the data. These tools may create an easily accessible platform that could be applied to other important neuroscience datasets.

9886761
Funded Status: 
Active