File Download
Supplementary
Conference Paper: Exploration of resting state networks in human cervical spinal cord
Title | Exploration of resting state networks in human cervical spinal cord |
---|---|
Authors | |
Issue Date | 2014 |
Publisher | ISMRM-ESMRMB 2014. |
Citation | The 2014 joint ISMRM-ESMRMB Annual Meeting, Milano, Italy, 10-16 May 2014. How to Cite? |
Abstract | 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. |
Description | Scientific Session 35 - Functional Connectivity: no. 0445 ISMRM Merit Award: Magna cum Laude |
Persistent Identifier | http://hdl.handle.net/10722/204134 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, X | en_US |
dc.contributor.author | Li, X | en_US |
dc.contributor.author | Zhou, F | en_US |
dc.contributor.author | Cui, J | en_US |
dc.contributor.author | Tsang, AHW | en_US |
dc.contributor.author | Zhou, IY | en_US |
dc.contributor.author | Wu, EX | en_US |
dc.contributor.author | Hu, Y | en_US |
dc.date.accessioned | 2014-09-19T20:06:36Z | - |
dc.date.available | 2014-09-19T20:06:36Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | The 2014 joint ISMRM-ESMRMB Annual Meeting, Milano, Italy, 10-16 May 2014. | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/204134 | - |
dc.description | Scientific Session 35 - Functional Connectivity: no. 0445 | - |
dc.description | ISMRM Merit Award: Magna cum Laude | - |
dc.description.abstract | 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. | - |
dc.language | eng | en_US |
dc.publisher | ISMRM-ESMRMB 2014. | - |
dc.relation.ispartof | ISMRM-ESMRMB 2014 Joint Annual Meeting | en_US |
dc.title | Exploration of resting state networks in human cervical spinal cord | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Zhou, F: fqchou@hku.hk | en_US |
dc.identifier.email | Tsang, AHW: ahwtsang@hku.hk | en_US |
dc.identifier.email | Zhou, IY: iriszhou@eee.hku.hk | - |
dc.identifier.email | Wu, EX: ewu1@hkucc.hku.hk | - |
dc.identifier.email | Hu, Y: yhud@hku.hk | - |
dc.identifier.authority | Zhou, IY=rp01739 | en_US |
dc.identifier.authority | Wu, EX=rp00193 | en_US |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.hkuros | 240597 | en_US |
dc.publisher.place | Italy | en_US |