As an alternative to template based brain parcellation in functional connectivity analysis, nearly equal-sized random parcellations are applied to individual subjects multiple times to obtain a pseudo-bootstrap sample of the functional network. As one application, the method was applied on the HCP resting state dataset to identify individuals across scan sessions based on the mean functional connectivity. With a parcellation number of 278 and bootstrap sample size of 400, an accuracy rate of ~90% was achieved by simply finding the maximum correlation of mean functional connectivity of pseudo-bootstrap samples between two scan sessions.
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.
Keywords