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.
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