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-02CB/figures/sub-02CB_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-02CB/figures/sub-02CB_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-02CB/figures/sub-02CB_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-02CB/figures/sub-02CB_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-02CB/figures/sub-02CB_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-02CB/figures/sub-02CB_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-02CB/figures/sub-02CB_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-02CB/figures/sub-02CB_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-02CB/func/sub-02CB_task-audiodeep_run-01_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum7014b0e2fb3b50b58a97864ee535a02a

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime17:53:11.582500
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[0.999601, 0.0201855, 0.01974, -0.0226841, 0.990467, 0.135869]
ImageType['ORIGINAL', 'PRIMARY', 'M', 'ND', 'NORM', 'MOSAIC']
ImagingFrequency123.211
InPlanePhaseEncodingDirectionDICOMROW
InstitutionAddressPerth_Drive_100_London_Ontario_CA_N6A_5K8
InstitutionNameRobarts-CFMM
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
SAR0.0885226
ScanOptionsFS
ScanningSequenceEP
SequenceName_epfid2d1_64
SequenceVariantSK
SeriesDescriptiontaken_deep_sed
SeriesNumber18
ShimSetting[5237, -6191, -3843, 344, -21, -75, 14, 13]
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
TxRefAmp259.108
dcmmetaaffine[[-2.9988040924072266, -0.06805238127708435, 0.06303481012582779, 97.19085693359375], [-0.06055636331439018, 2.9714012145996094, 0.5109841227531433, -81.46173095703125], [0.05922010913491249, -0.40760642290115356, 3.7144882678985596, -28.151582717895508], [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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dvarsvstd1.0257352635714285
efc0.5894
fber2344.9673
fdmean0.16381862969574135
fdnum41
fdperc26.451612903225808
fwhmavg2.251428
fwhmx2.1688933333333336
fwhmy2.4806733333333333
fwhmz2.1047173333333333
gcor0.0282218
gsrx0.00828272569924593
gsry0.04133676365017891
sizet155
sizex64
sizey64
sizez33
snr3.6826917458129564
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz3.75
summarybgk17.9734
summarybgmad7.0591
summarybgmean25.7277
summarybgmedian8.0
summarybgn89606.0
summarybgp052.0
summarybgp95112.0
summarybgstdv43.8577
summaryfgk1.9149
summaryfgmad74.8906
summaryfgmean387.8793
summaryfgmedian397.0
summaryfgn45562.0
summaryfgp05155.0
summaryfgp95536.0
summaryfgstdv107.8004
tsnr77.85453487932682
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