Dataset Information

Examples of sub-millimeter, 7T, T₁-weighted EPI datasets acquired with the T₁23DEPI sequence.

ABSTRACT: These imaging data are examples of sub-millimeter resolution T₁-weighted EPI (Echo Planar Imaging) acquired using the T₁23DEPI (T₁-imaging with 2 3D-EPIs) sequence [1]; functional MRI data with matching resolution and distortion, and MP2RAGE (Magnetization Prepared 2 Rapid Acquisition Gradient Echoes) anatomical images [2], from the same subjects. Data from two protocols and subjects presented in the paper describing the sequence [1] are made available here: 1)0.8?mm protocol: whole brain, axial T₁23DEPI T₁-weighted images; a 5-minute fMRI run with the same orientation and 27?mm coverage in the slice selection direction, covering the primary visual cortex. fMRI data were acquired while the volunteer viewed a flashing checkerboard stimulus; the unsmoothed GLM results of the fMRI and a 0.64?mm resolution MP2RAGE from the same subject. These data are from Experiment 3 in [1] 2)0.7?mm protocol: partial brain T₁23DEPI T₁-weighted images with longer or shorter readouts; matching coronal echo planar images again acquired while viewing a flashing checkerboard stimulus and a 0.64?mm whole brain MP2RAGE from the same subject. These data are from Experiment 1 in [1].

SUBMITTER: van der Zwaag W

PROVIDER: S-EPMC6116420 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Examples of sub-millimeter, 7T, T1-weighted EPI datasets acquired with the T123DEPI sequence.

van der Zwaag Wietske W Buur Pieter F PF Fracasso Alessio A van Doesum Tessa T Uludağ Kâmil K Versluis Maarten M Marques José P JP

Data in brief 20180816

These imaging data are examples of sub-millimeter resolution T1-weighted EPI (Echo Planar Imaging) acquired using the T123DEPI (T1-imaging with 2 3D-EPIs) sequence [1]; functional MRI data with matching resolution and distortion, and MP2RAGE (Magnetization Prepared 2 Rapid Acquisition Gradient Echoes) anatomical images [2], from the same subjects. Data from two protocols and subjects presented in the paper describing the sequence [1] are made available here: 1)0. ...[more]

PMID: 30175207

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Project description:BackgroundMaps can portray trends, patterns, and spatial differences that might be overlooked in tabular data and are now widely used in health research. Little has been reported about the process of using maps to communicate epidemiological findings.MethodPopulation weighted raster maps show colour changes over the study area. Similar to the rasters of barometric pressure in a weather map, data are the health occurrence--a peak on the map represents a higher value of the indicator in question. The population relevance of each sentinel site, as determined in the stratified last stage random sample, combines with geography (inverse-distance weighting) to provide a population-weighted extension of each colour. This transforms the map to show population space rather than simply geographic space.ResultsMaps allowed discussion of strategies to reduce violence against women in a context of political sensitivity about quoting summary indicator figures. Time-series maps showed planners how experiences of health services had deteriorated despite a reform programme; where in a country HIV risk behaviours were improving; and how knowledge of an economic development programme quickly fell off across a region. Change maps highlighted where indicators were improving and where they were deteriorating. Maps of potential impact of interventions, based on multivariate modelling, displayed how partial and full implementation of programmes could improve outcomes across a country. Scale depends on context. To support local planning, district maps or local government authority maps of health indicators were more useful than national maps; but multinational maps of outcomes were more useful for regional institutions. Mapping was useful to illustrate in which districts enrolment in religious schools--a rare occurrence--was more prevalent.ConclusionsPopulation weighted raster maps can present social audit findings in an accessible and compelling way, increasing the use of evidence by planners with limited numeracy skills or little time to look at evidence. Maps complement epidemiological analysis, but they are not a substitute. Much less do they substitute for rigorous epidemiological designs, like randomised controlled trials.

Dataset Information

Examples of sub-millimeter, 7T, T₁-weighted EPI datasets acquired with the T₁23DEPI sequence.

Publications

Examples of sub-millimeter, 7T, T<sub>1</sub>-weighted EPI datasets acquired with the T<sub>1</sub>23DEPI sequence.

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