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-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_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-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_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-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_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-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_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-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_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-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_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-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-0103/figures/sub-0103_ses-02_task-faces_acq-mb8_run-03_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-0103/ses-02/func/sub-0103_ses-02_task-faces_acq-mb8_run-03_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum069e6ab82f3e090dab7a1379907dec65

AcquisitionMatrixPE82
AcquisitionNumber1
AcquisitionTime21:46:2.725000
BandwidthPerPixelPhaseEncode24.888
BaseResolution82
BodyPartExaminedBRAIN
ConsistencyInfoN4_VE11E_LATEST_20181129
ConversionSoftwaredcm2niix
ConversionSoftwareVersionv1.0.20201102
DerivedVendorReportedEchoSpacing0.00049
DeviceSerialNumber66112
DwellTime2e-06
EchoTime0.0272
EchoTrainLength82
EffectiveEchoSpacing0.00049
FlipAngle44
ImageCommentsUnaliased MB8/PE3
ImageOrientationPatientDICOM[0.999172, -0.00408363, 0.0404816, 0.00994044, 0.9893, -0.145554]
ImageType['ORIGINAL', 'PRIMARY', 'M', 'MB', 'ND', 'NORM', 'MOSAIC']
ImagingFrequency123.259
InPlanePhaseEncodingDirectionDICOMCOL
InstitutionAddressMaynard 3,Hanover,NH,US,03755
InstitutionNameDartmouth College - PBS
InstitutionalDepartmentNameDepartment
MRAcquisitionType2D
MagneticFieldStrength3
ManufacturerSiemens
ManufacturersModelNamePrisma
ModalityMR
MultibandAccelerationFactor8
PartialFourier1
PatientPositionHFS
PercentPhaseFOV100
PercentSampling100
PhaseEncodingDirectionj-
PhaseEncodingSteps82
PhaseResolution1
PixelBandwidth3050
ProcedureStepDescriptionWager_Wager^1076_spacetop
ProtocolNamefunc_run-03_task-faces_acq-ap-mb8
PulseSequenceDetails%CustomerSeq%\cmrr_mbep2d_bold
ReceiveCoilActiveElementsHEA;HEP
ReceiveCoilNameHead_32
ReconMatrixPE82
RepetitionTime0.46
SAR0.0816062
ScanOptionsFS
ScanningSequenceEP
SequenceNameepfid2d1_82
SequenceVariantSK\SS
SeriesDescriptionfunc_run-03_task-faces_acq-ap-mb8
SeriesNumber20
ShimSetting[4229, -7749, -7234, 226, -153, -253, -87, 49]
SliceThickness2.7
SliceTiming[0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19, 0, 0.2525, 0.065, 0.315, 0.1275, 0.3775, 0.19]
SoftwareVersionssyngo MR E11
SpacingBetweenSlices2.7
StationNameAWP66112
TaskNamefaces
TotalReadoutTime0.03969
TxRefAmp232.744
WipMemBlockc66e3d77-d612-4aed-b428-8d58fcc423b8||Sequence: R016 ve11e/master r/434b28f1; Aug 7 2019 18:53:46 by eja
dcmmetaaffine[[-2.6807053089141846, 0.026669465005397797, 0.1065259724855423, 102.82587432861328], [0.010956082493066788, 2.6542205810546875, -0.39375755190849304, -90.80953216552734], [0.1086091622710228, 0.3905114233493805, 2.669008493423462, -97.28569030761719], [0.0, 0.0, 0.0, 1.0]]
dcmmetareorient_transform[[0.0, -1.0, 0.0, 81.0], [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[82, 82, 56, 914]
dcmmetaslice_dim2
dcmmetaversion0.6
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aor0.00042512595837897047
aqi0.024501300109529025
dummy_trs1
dvarsnstd38.2452654211842
dvarsstd1.246934745910088
dvarsvstd0.9953933193640359
efc0.4571
fber6377.5322
fdmean0.1093831801528299
fdnum83
fdperc9.090909090909092
fwhmavg2.5119963928170357
fwhmx2.501909394895286
fwhmy2.5979425744238585
fwhmz2.436137209131962
gcor0.0153678
gsrx-0.009738674387335777
gsry0.01774289272725582
sizet913
sizex82
sizey82
sizez56
snr4.035821830056552
spacingtr0.46000000834465027
spacingx2.682926893234253
spacingy2.682926893234253
spacingz2.6999998092651367
summarybgk24.0327
summarybgmad37.9614
summarybgmean160.0401
summarybgmedian46.0
summarybgn305278.0
summarybgp0515.0
summarybgp95763.0
summarybgstdv316.7574
summaryfgk2.8777
summaryfgmad505.8978
summaryfgmean3488.9805
summaryfgmedian3695.0
summaryfgn71266.0
summaryfgp051231.0
summaryfgp954492.0
summaryfgstdv915.5444
tsnr42.31392178335227
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