Abstract #3826

Task-Driven Functional Connectivity of White Matter in Projection Pathways of the Human Brain

Xi Wu¹, Wuzhong Bi¹, Stephen K Bailey², Laurie E Cutting^3,4, Jiliu Zhou¹, Adam W Anderson^4,5,6, John C Gore^4,5,6, and Zhaohua Ding^5,6,7

¹Department of Computer Science, Chengu University of Information Technology, Chengdu, China, People's Republic of, ²Brain Institute, Vanderbilt University, Nashville, TN, United States, ³Kennedy Center, Chengu University of Information Technology, Nashville, TN, United States, ⁴Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, ⁵Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, ⁶Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, ⁷Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States

Functional MRI has proven to be most effective in detecting neural activity in brain cortices on the basis of hemodynamic responses, but meanwhile has poor sensitivity in detecting neural activity in white matter. In this study, we demonstrate that MRI signals in the projection pathways have significant correlations to the primary motor cortex in finger tapping conditions, and distributions of the correlations bear clear relations with the sidedness of the task. This indicates that MRI signals in white matter may also encode neural activity, which may be detectable with sensitive methods.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.