Basic echo-wise reports

Standard deviation of signal through time

The voxel-wise standard deviation of the signal (variability along time).

Get figure file: sub-pixar080/figures/sub-pixar080_task-pixar_desc-stdev_bold.svg

View of the background of the voxel-wise average of the BOLD timeseries

This panel shows a mosaic enhancing the background around the head. Artifacts usually unveil themselves in the air surrounding the head, where no signal sources are present.

Get figure file: sub-pixar080/figures/sub-pixar080_task-pixar_desc-background_bold.svg

Voxel-wise average of BOLD time-series, zoomed-in covering just the brain

This panel shows a mosaic of the brain. This mosaic is the most suitable to screen head-motion intensity inhomogeneities, global/local noise, signal leakage (for example, from the eyeballs and across the phase-encoding axis), etc.

Get figure file: sub-pixar080/figures/sub-pixar080_task-pixar_desc-zoomed_bold.svg

Carpetplot and nuisance signals

The so-called «carpetplot» may assist in assessing head-motion derived artifacts and respiation effects.

Get figure file: sub-pixar080/figures/sub-pixar080_task-pixar_desc-carpet_bold.svg

Extended echo-wise reports

Voxel-wise average of BOLD time-series

The average signal calculated across the last axis (time).

Get figure file: sub-pixar080/figures/sub-pixar080_task-pixar_desc-mean_bold.svg

Extended reports shared across echos

Brain extraction performance

Brain mask as internally extracted by MRIQC. Defects on the brainmask could indicate problematic aspects of the image quality-wise.

Get figure file: sub-pixar080/figures/sub-pixar080_task-pixar_desc-brainmask_bold.svg

Spatial normalization of the anatomical image

This panel shows a quick-and-dirty nonlinear registration into the MNI152NLin2009cAsym template accessed with TemplateFlow.

Problem loading figure sub-pixar080/figures/sub-pixar080_task-pixar_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-pixar080/figures/sub-pixar080_task-pixar_desc-norm_bold.svg

About

Errors

Reproducibility and provenance information

Thanks for using MRIQC. The following information may assist in reconstructing the provenance of the corresponding derivatives.

Execution environmentsingularity
Input filename/sub-pixar080/func/sub-pixar080_task-pixar_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum8e0b918a492e30f45f06eaf495e6c0ab

FlipAngle90
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aqi0.0037387404166666664
dummy_trs0
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dvarsstd1.3392460664670656
dvarsvstd1.0015860176646703
efc0.5931
fber525.1607
fdmean0.13621764408962564
fdnum23
fdperc13.69047619047619
fwhmavg2.865202469865098
fwhmx2.98011
fwhmy2.7406400000000004
fwhmz2.874857409595293
gcor0.0409897
gsrx-0.007613368332386017
gsry0.05013296753168106
sizet168
sizex64
sizey64
sizez32
snr2.6655678848746636
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz3.3000001907348633
summarybgk29.1099
summarybgmad8.4897
summarybgmean55.176
summarybgmedian28.0
summarybgn87924.0
summarybgp0522.0
summarybgp95195.0
summarybgstdv76.989
summaryfgk1.8644
summaryfgmad199.9704
summaryfgmean677.6728
summaryfgmedian645.0
summaryfgn43148.0
summaryfgp05351.0
summaryfgp951129.0
summaryfgstdv241.9719
tsnr77.43601142242551
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