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-08VR/figures/sub-08VR_task-audiodeep_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-08VR/figures/sub-08VR_task-audiodeep_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-08VR/figures/sub-08VR_task-audiodeep_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-08VR/figures/sub-08VR_task-audiodeep_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-08VR/figures/sub-08VR_task-audiodeep_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-08VR/figures/sub-08VR_task-audiodeep_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-08VR/figures/sub-08VR_task-audiodeep_run-01_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-08VR/figures/sub-08VR_task-audiodeep_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-08VR/func/sub-08VR_task-audiodeep_run-01_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumaf220f381f40631f195f002c5d1edaad

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime16:51:12.515000
BandwidthPerPixelPhaseEncode40.064
BaseResolution64
BodyPartExaminedBRAIN
ConsistencyInfoN4_VD13D_LATEST_20130810
ConversionSoftwaredcm2niix
ConversionSoftwareVersionv1.0.20191031
DerivedVendorReportedEchoSpacing0.000780002
DeviceSerialNumber67007
DwellTime5.3e-06
EchoTime0.03
EchoTrainLength31
EffectiveEchoSpacing0.000390001
FlipAngle75
ImageOrientationPatientDICOM[0.998818, -0.0476422, 0.00962531, 0.0471031, 0.997634, 0.0500804]
ImageType['ORIGINAL', 'PRIMARY', 'M', 'ND', 'NORM', 'MOSAIC']
ImagingFrequency123.211
InPlanePhaseEncodingDirectionDICOMROW
InstitutionAddressPerth_Drive_100_London_Ontario_CA_N6A_5K8
InstitutionNameRobarts_Research_Institute
InstitutionalDepartmentNameCFMM
MRAcquisitionType2D
MagneticFieldStrength3
ManufacturerSiemens
ManufacturersModelNamePrisma_fit
ModalityMR
ParallelReductionFactorInPlane2
PartialFourier1
PatientPositionHFS
PercentPhaseFOV100
PhaseEncodingDirectioni
PhaseEncodingSteps63
PhaseResolution1
PixelBandwidth1475
ProcedureStepDescriptionOwen_Naci
ProtocolNametaken_deep_sed
PulseSequenceDetails%SiemensSeq%_ep2d_bold
ReceiveCoilActiveElementsHEA;HEP
ReceiveCoilNameHead_32
ReconMatrixPE64
RefLinesPE24
RepetitionTime2
SAR0.101227
ScanOptionsFS
ScanningSequenceEP
SequenceName_epfid2d1_64
SequenceVariantSK
SeriesDescriptiontaken_deep_sed
SeriesNumber11
ShimSetting[5251, -6046, -3915, 536, 34, 175, 27, -29]
SliceThickness3
SliceTiming[1.92, 1.86, 1.8, 1.74, 1.68, 1.62, 1.56, 1.5, 1.44, 1.38, 1.32, 1.26, 1.2, 1.14, 1.08, 1.02, 0.96, 0.9, 0.84, 0.78, 0.72, 0.66, 0.6, 0.54, 0.48, 0.42, 0.36, 0.3, 0.24, 0.18, 0.12, 0.06, 0]
SoftwareVersionssyngo_MR_D13D
SpacingBetweenSlices3.75
StationNameAWP67007
TaskNameaudiodeep
TotalReadoutTime0.0245701
TxRefAmp275.266
dcmmetaaffine[[-2.9964542388916016, 0.1413092017173767, 0.04495676979422569, 87.4243392944336], [0.14292649924755096, 2.992901563644409, 0.18587946891784668, -87.27631378173828], [0.028875920921564102, -0.15024128556251526, 3.7451205253601074, -63.79973602294922], [0.0, 0.0, 0.0, 1.0]]
dcmmetareorient_transform[[0.0, -1.0, 0.0, 63.0], [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[64, 64, 33, 155]
dcmmetaslice_dim2
dcmmetaversion0.6
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aqi0.0208883764516129
dummy_trs0
dvarsnstd26.59671601376624
dvarsstd1.2960180525974028
dvarsvstd1.1786805409740255
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fber3385.5061
fdmean0.2199123537889915
fdnum43
fdperc27.741935483870968
fwhmavg1.9975042222222223
fwhmx1.9996233333333333
fwhmy2.15166
fwhmz1.8412293333333334
gcor0.0142412
gsrx0.0111698592081666
gsry0.02655484899878502
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sizex64
sizey64
sizez33
snr3.9210091917489054
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz3.75
summarybgk63.2606
summarybgmad4.0748
summarybgmean15.727
summarybgmedian6.0
summarybgn100229.0
summarybgp052.0
summarybgp9558.0
summarybgstdv33.4858
summaryfgk2.4186
summaryfgmad56.9797
summaryfgmean324.3274
summaryfgmedian333.0
summaryfgn34939.0
summaryfgp05135.0
summaryfgp95438.0
summaryfgstdv84.9259
tsnr42.716117658885196
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