Abstract #0879

Evidence of Dense Functional Connectivity in the Human Brain

Ankita Saha¹, Ishaan Batta², and Rahul Garg¹

¹Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi, India, ²Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, United States

Aimed at studying the nature of voxel-wise interactions in the brain, this study finds the evidence of dense functional connectivity in the brain using resting state fMRI data from over 700 subjects. To study the nature of these interactions, we used a bipartite graph embedding algorithm on the connectivity network obtained with multiple pre-processing strategies with respect to global signal regression. We also analyzed interactions between and whithin grey and white matter. The results point to a dense non-bipartite network covering 74.63% of the brain leading to new insights towards understanding the human functional connectome.

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.