Article in Magnetic resonance imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
3 authors.
Byeong-Yeul LeeCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, MN, USA. Electronic address: bylee@umn.edu.
Xiao-Hong ZhuCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, MN, USA.
Wei ChenCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, MN, USA. Electronic address: wei@cmrr.umn.edu.
Funding
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Breaking Spatiotemporal Barriers of MR Imaging Technologies to Study Human Brain Function and NeuroenergeticsU01EB026978 · NIBIB · UNIVERSITY OF MINNESOTA · PI CHEN, WEI, ZHU, XIAO-HONG · 2018 to 2022
$6.4M
Neurons, Vessels and Voxels: Multi-modal Imaging of Layer Specific SignalsR01MH111447 · NIMH · UNIVERSITY OF MINNESOTA · PI KARA, PRAKASH, NASELARIS, THOMAS P · 2016 to 2020
$5.0M
Integrated fMRI Methods to Study Neurophysiology and Circuit Dynamics at Laminar and Columnar LevelR01MH111413 · NIMH · UNIVERSITY OF MINNESOTA · PI CHEN, WEI · 2016 to 2020
$4.4M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
Noninvasive Study of Cerebral ATP Metabolism, Bioenergetics and Brain FunctionR01NS057560 · NINDS · UNIVERSITY OF MINNESOTA · PI CHEN, WEI · 2009 to 2013
$2.8M
Quantitative and Non-invasive Imaging of Oxygen Metabolism in Human BrainR01NS070839 · NINDS · UNIVERSITY OF MINNESOTA · PI ZHU, XIAO-HONG · 2010 to 2014
$2.2M
Advancing MRI & MRS Technologies for Studying Human Brain Function and EnergeticsR24MH106049 · NIMH · UNIVERSITY OF MINNESOTA · PI CHEN, WEI, YANG, QING X · 2014 to 2016
$1.6M
MULTICHANNEL TRANSMIT FRONTEND FOR 7 TESLAS10RR026783 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2009 to 2009
Spatial averaging of multiple voxels from high-resolution chemical shift imaging (hrCSI) is a common strategy for in vivo metabolic studies to achieve a better signal-to-noise ratio (SNR) for a region-of-interest. However, the mechanism about how the spatial averaging approach influences the respective spectral signal and noise and its relevance to the k-space sampling schemes remains unclear. Using three-dimension
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Quantitative analysis of spatial averaging effect on chemical shift imaging SNR and noise coherence with k-space sampling schemes. · full record | OpenQuestion