Keywords: Functional Connectivity, fMRI (resting state)
Motivation: Brain modeling based on functional connectivity is a powerful tool for characterizing brain networks, yet the search for AD related network biomarkers has yielded few consistent results.
Goal(s): We show how cohesion-focused network analysis of intrinsic sub-networks correlate with AD disease progression.
Approach: Several node-based and global graph-theoretic measures were calculated, and were examined across several intrinsic sub-networks.
Results: Two network metrics, cohesion and small-worldness, showed progressive changes from cognitively normal (CN) to mildly cognitive impaired (MCI) to AD. The fraction of rich club nodes decreased with disease progression, and the distributions of these nodes transferred from the DMN to VAN and SN.
Impact: The data demonstrate increasing disorganization within the brain with potential compensatory reorganization in other sub-networks.
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