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-53/figures/sub-53_ses-01_task-piper_run-01_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-53/figures/sub-53_ses-01_task-piper_run-01_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-53/figures/sub-53_ses-01_task-piper_run-01_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-53/figures/sub-53_ses-01_task-piper_run-01_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-53/figures/sub-53_ses-01_task-piper_run-01_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-53/figures/sub-53_ses-01_task-piper_run-01_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-53/figures/sub-53_ses-01_task-piper_run-01_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-53/figures/sub-53_ses-01_task-piper_run-01_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-53/ses-01/func/sub-53_ses-01_task-piper_run-01_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum9270b57e7a2d113fce7f63f3e6391650

ConversionSoftwaredcm2niix
ConversionSoftwareVersionv1.0.20170207
EchoTime0.0302
EffectiveEchoSpacing0.000640002
FlipAngle90
ImageType['ORIGINAL', 'PRIMARY', 'M', 'MB', 'ND', 'MOSAIC']
MagneticFieldStrength3
ManufacturerSiemens
ManufacturersModelNamePrisma
PhaseEncodingDirectionj-
ProcedureStepDescriptionCAMRIS_CHOP
ProtocolNameBOLD_resting1
RepetitionTime2
SliceTiming[0, 0.08, 0.1575, 0.2375, 0.3175, 0.395, 0.475, 0.555, 0.6325, 0.7125, 0.7925, 0.87, 0.95, 1.03, 1.1075, 1.1875, 1.2675, 1.345, 1.425, 1.505, 1.5825, 1.6625, 1.7425, 1.8225, 1.9, 0, 0.08, 0.1575, 0.2375, 0.3175, 0.395, 0.475, 0.555, 0.6325, 0.7125, 0.7925, 0.87, 0.95, 1.03, 1.1075, 1.1875, 1.2675, 1.345, 1.425, 1.505, 1.5825, 1.6625, 1.7425, 1.8225, 1.9, 0, 0.08, 0.1575, 0.2375, 0.3175, 0.395, 0.475, 0.555, 0.6325, 0.7125, 0.7925, 0.87, 0.95, 1.03, 1.1075, 1.1875, 1.2675, 1.345, 1.425, 1.505, 1.5825, 1.6625, 1.7425, 1.8225, 1.9]
TaskNamepiper
dcmmetaaffine[[-2.0, 0.0, 0.0, 100.21700286865234], [0.0, 2.0, 0.0, -86.16899871826172], [0.0, 0.0, 2.0, -63.75899887084961], [0.0, 0.0, 0.0, 1.0]]
dcmmetareorient_transform[[0.0, -1.0, 0.0, 95.0], [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 1.0]]
dcmmetashape[96, 96, 75, 150]
dcmmetaslice_dim2
dcmmetaversion0.6
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aor0.0023233999999999998
aqi0.009071291399999999
dummy_trs0
dvarsnstd48.94398295013423
dvarsstd1.269478356979866
dvarsvstd1.024953199194631
efc0.5707
fber419.8226
fdmean0.21495793760552295
fdnum62
fdperc41.333333333333336
fwhmavg3.546753333333333
fwhmx3.361955
fwhmy3.73594
fwhmz3.542365
gcor0.00568061
gsrx0.00942421704530716
gsry0.048164766281843185
sizet150
sizex96
sizey96
sizez75
snr2.1446082575049807
spacingtr2.0
spacingx2.0
spacingy2.0
spacingz2.0
summarybgk27.012
summarybgmad133.0092
summarybgmean633.9325
summarybgmedian287.0
summarybgn496629.0
summarybgp05181.0
summarybgp952323.0
summarybgstdv916.5849
summaryfgk0.2158
summaryfgmad2620.9048
summaryfgmean6240.679
summaryfgmedian5888.0
summaryfgn194571.0
summaryfgp052151.0
summaryfgp9511227.0
summaryfgstdv2745.4827
tsnr38.941542487591505
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