A new model-based intrinsic connectivity measure: global functional connectivity

Intrinsic connectivity is attractive over seeded connectivity methods as there is no need for localization. However, to-date the measures used for intrinsic connectivity as described in the literature suffer several limitations. We were inspired to apply a Gaussian normalization process by a recent method using the distribution of correlation at each voxel. The new method is very attractive from a theoretical standpoint, as it only depends on the shape of the t-score distribution at each voxel and an appropriately-fitted theoretical Gaussian. Our results support the use of this new measure.

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.