Meeting Banner
Abstract #0445

Exploration of Resting State Networks in Human Cervical Spinal Cord

Xiaojia Liu 1,2 , Xiang Li 2 , Fuqing Zhou 2 , Jiaolong Cui 2 , Adrian Tsang 1,3 , Iris Y. Zhou 1,3 , Ed X. Wu 1,3 , and Yong Hu 2

1 Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China, 2 Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, China, 3 Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

Resting state networks in the human cervical spinal cord has only been scarcely explored. In this study, we investigated the resting state network using a clinically relevant 3T whole body MRI scanner from 14 healthy subjects. The correlation coefficient computed from rsfMRI images between each ventral or dorsal horn of different segments was used to generate the correlation matrix. Segments C2 and C6 demonstrated stronger correlations with other segments. Segment C2 has a stronger inter-segment correlation than other segments. Functional connectivity distribution among segments was detected, which demonstrated the neural network in the human cervical spinal cord.

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.

Keywords