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MEGA-sLASER_vs_MASE-sLASER
відгалужено від smortezar/MEGA-sLASER_vs_MASE-sLASER
DOI
10.12751/g-node.6d38c0
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MEGA-sLASER and MASE-sLASER both at TE=68 ms at 7T were used to acquire spectra from the human brain in vivo. The data are proton single voxel magnetic resonance spectra for two predominantly GM and WM voxels for seven subjects and each method.

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README.md

MEGA-sLASER_vs_MASE-sLASER

MEGA-sLASER and MASE-sLASER both at TE=68 ms at 7T were used to acquire spectra from the human brain in vivo. The data are proton single voxel magnetic resonance spectra for two predominantly GM and WM voxels for seven subject and each method.

datacite.yml
Title Measurement of GABA with MASE-sLASER and MEGA-sLASER sequences in the human brain at 7T
Authors Rohani Rankouhi,Seyedmorteza;Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany;https://orcid.org/0000-0002-7144-3568
Hong,Donghyun;Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany
Norris,David;Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands; Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany
Description Two distinct methods of MEGA-sLASER and MASE-sLASER both at TE=68 ms at 7T were used to acquire spectra from predominantly white matter and predominantly gray matter voxels in the human brain in vivo. A correlation between the two methods to measure GABA is found. The data are proton single voxel magnetic resonance spectra for seven subjects and for two predominantly GM and WM voxels for each subject and each method. The data are ON and OFF modes for the MEGA-sLASER acquisitions (MSL) and for MASE acquisitions.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References PublicationName [] (IsSupplementTo)
PublicationName [] (IsPartOf)
Funding ICEMED
Keywords single voxel MRS
MEGA-sLASER
MASE-sLASER
GABA
human brain
Ultrahigh field
Resource Type Dataset