PMC

Example Functional Images
Example functional images aligned to the common space defined by the NMT template.

Example Structural Images
Example structural images aligned to the common space defined by the NMT template.

Spatial Quality Metrics for Morphometry MRI Datasets
Spatial quality metrics include: contrast-to-noise ratio (CNR), smoothness of voxels indexed as full width at half maximum (FWHM), signal-to-noise ratio (SNR), and artifactual voxel detection (Qi1). See for details on this and the other quality metrics released. The colored scatterplots illustrate the quality metrics distribution for each data collection. The violin plots on the left of each panel represent a kernel density estimation of the distribution across all data collections for each quality metric. Starting from the bottom: each horizontal line marks the 1^st, 5^th, 25^th, 50^th, 75^th, 95^th, and 99^th percentiles.

Spatial and Temporal Quality Metrics for Functional MRI Datasets
Spatial quality metrics include: ghost-to-single ratio (GSR), smoothness of voxels indexed as full width at half maximum (FWHM), and signal-to-noise ratio (SNR). Temporal metrics are mean frame-wise displacement (Mean FD), standardized DVARS, global correlation (GCORR), and temporal signal-to-noise ratio (tSNR). See for details on this and the other quality metrics released. The colored scatterplots illustrate the quality metrics distribution for each data collection. The violin plots on the left of each panel represent a kernel density estimation of the distribution across all data collections for each quality metric. Starting from the bottom: each horizontal line marks the 1^st, 5^th, 25^th, 50^th, 75^th, 95^th, and 99^th percentiles.