Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/116900
DC FieldValueLanguage
dc.contributor應物所zh_Tw
dc.creator蔡尚岳zh_TW
dc.creatorHsu, Yi-Chengen_US
dc.creatorChu, Ying-Huaen_US
dc.creatorTsai, Shang-Yuehen_US
dc.creatorKuo, Wen-Juien_US
dc.creatorChang, Chun-Yuanen_US
dc.date2017-12
dc.date.accessioned2018-04-18T06:45:31Z-
dc.date.available2018-04-18T06:45:31Z-
dc.date.issued2018-04-18T06:45:31Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/116900-
dc.description.abstract(BOLD) signals with high sensitivity and specificity. Here we propose a novel method: simultaneous multi-slice inverse imaging (SMS-InI) — a combination of simultaneous multi-slice excitation, simultaneous echo refocusing (SER), blipped controlled aliasing in parallel imaging echo-planar imaging (EPI), and regularized image reconstruction. Using a 32-channel head coil array on a 3 T scanner, SMS-InI achieves nominal isotropic 5-mm spatial resolution and 10 Hz sampling rate at the whole-brain level. Compared with traditional inverse imaging, we found that SMS-InI has higher spatial resolution with lower signal leakage and higher time-domain signal-to-noise ratio with the optimized regularization parameter in the reconstruction. SMS-InI achieved higher effective resolution and higher detection power in detecting visual cortex activity than InI. SMS-InI also detected subcortical fMRI signals with the similar sensitivity and localization accuracy like EPI. The spatiotemporal resolution of SMS-InI was used to reveal that presenting visual stimuli with 0.2 s latency between left and right visual hemifield led to 0.2 s relative hemodynamic response latency between the left and right visual cortices. Together, these results indicate that SMS-InI is a useful tool in measuring cortical and subcortical hemodynamic responses with high spatiotemporal resolution.en_US
dc.format.extent3411915 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationScientific Reports, 2017; 7: 17019.
dc.titleSimultaneous multi-slice inverse imaging of the human brainen_US
dc.typearticle
dc.identifier.doi10.1038/s41598-017-16976-0
dc.doi.urihttps://dx.doi.org/10.1038%2Fs41598-017-16976-0
item.openairetypearticle-
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
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