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Conference Paper: Exploration of resting state networks in human cervical spinal cord

TitleExploration of resting state networks in human cervical spinal cord
Authors
Issue Date2014
PublisherISMRM-ESMRMB 2014.
Citation
The 2014 joint ISMRM-ESMRMB Annual Meeting, Milano, Italy, 10-16 May 2014. How to Cite?
AbstractResting 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.
DescriptionScientific Session 35 - Functional Connectivity: no. 0445
ISMRM Merit Award: Magna cum Laude
Persistent Identifierhttp://hdl.handle.net/10722/204134

 

DC FieldValueLanguage
dc.contributor.authorLiu, Xen_US
dc.contributor.authorLi, Xen_US
dc.contributor.authorZhou, Fen_US
dc.contributor.authorCui, Jen_US
dc.contributor.authorTsang, AHWen_US
dc.contributor.authorZhou, IYen_US
dc.contributor.authorWu, EXen_US
dc.contributor.authorHu, Yen_US
dc.date.accessioned2014-09-19T20:06:36Z-
dc.date.available2014-09-19T20:06:36Z-
dc.date.issued2014en_US
dc.identifier.citationThe 2014 joint ISMRM-ESMRMB Annual Meeting, Milano, Italy, 10-16 May 2014.en_US
dc.identifier.urihttp://hdl.handle.net/10722/204134-
dc.descriptionScientific Session 35 - Functional Connectivity: no. 0445-
dc.descriptionISMRM Merit Award: Magna cum Laude-
dc.description.abstractResting 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.languageengen_US
dc.publisherISMRM-ESMRMB 2014.-
dc.relation.ispartofISMRM-ESMRMB Annual Meeting 2014en_US
dc.titleExploration of resting state networks in human cervical spinal corden_US
dc.typeConference_Paperen_US
dc.identifier.emailZhou, F: fqchou@hku.hken_US
dc.identifier.emailTsang, AHW: ahwtsang@hku.hken_US
dc.identifier.emailZhou, IY: iriszhou@eee.hku.hk-
dc.identifier.emailWu, EX: ewu1@hkucc.hku.hk-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityZhou, IY=rp01739en_US
dc.identifier.authorityWu, EX=rp00193en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros240597en_US
dc.publisher.placeItalyen_US

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