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-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_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-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_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-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_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-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_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-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_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-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_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-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_run-01_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-0098/figures/sub-0098_ses-02_task-narratives_acq-mb8_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-0098/ses-02/func/sub-0098_ses-02_task-narratives_acq-mb8_run-01_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum6816acfef521b16d7a8935b908708d8c

AcquisitionMatrixPE82
AcquisitionNumber1
AcquisitionTime13:05:58.482500
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[0.99768, -0.0677909, -0.00618284, 0.068015, 0.988996, 0.13138]
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-01_task-narratives_acq-ap-mb8
PulseSequenceDetails%CustomerSeq%\cmrr_mbep2d_bold
ReceiveCoilActiveElementsHEA;HEP
ReceiveCoilNameHead_32
ReconMatrixPE82
RepetitionTime0.46
SAR0.112379
ScanOptionsFS
ScanningSequenceEP
SequenceNameepfid2d1_82
SequenceVariantSK\SS
SeriesDescriptionfunc_run-01_task-narratives_acq-ap-mb8
SeriesNumber10
ShimSetting[4236, -7798, -7165, 235, -102, 72, -39, 85]
SliceThickness2.7
SliceTiming[0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.3125, 0.125, 0.3775, 0.1875]
SoftwareVersionssyngo MR E11
SpacingBetweenSlices2.7
StationNameAWP66112
TaskNamenarratives
TotalReadoutTime0.03969
TxRefAmp254.074
WipMemBlock371afd5b-a5e8-47ce-a9cb-c80e5e3a7010||Sequence: R016 ve11e/master r/434b28f1; Aug 7 2019 18:53:46 by eja
dcmmetaaffine[[-2.676703453063965, 0.18247941136360168, 0.00753721734508872, 105.40565490722656], [0.18187814950942993, 2.6534042358398438, 0.3550384044647217, -107.4439926147461], [-0.0165881160646677, -0.35248273611068726, 2.676544427871704, -25.00989532470703], [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, 967]
dcmmetaslice_dim2
dcmmetaversion0.6
time{'samples': {'AcquisitionNumber': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 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aor0.000705525494276795
aqi0.022983190322580647
dummy_trs6
dvarsnstd34.29092725508335
dvarsstd1.1843051379375
dvarsvstd0.9853489923645835
efc0.4945
fber6224.0117
fdmean0.06777989266523422
fdnum16
fdperc1.6649323621227887
fwhmavg2.497023782614585
fwhmx2.3836169431701433
fwhmy2.7357062984120426
fwhmz2.3717481062615695
gcor0.00380507
gsrx-0.0047105723060667515
gsry0.03670589253306389
sizet961
sizex82
sizey82
sizez56
snr3.817211120143674
spacingtr0.46000000834465027
spacingx2.682926893234253
spacingy2.682926893234253
spacingz2.700000047683716
summarybgk14.8195
summarybgmad51.8679
summarybgmean237.7944
summarybgmedian56.0
summarybgn293631.0
summarybgp0515.0
summarybgp951206.0
summarybgstdv459.1581
summaryfgk2.2564
summaryfgmad683.6675
summaryfgmean4211.8742
summaryfgmedian4428.0
summaryfgn82913.0
summaryfgp051389.0
summaryfgp955601.0
summaryfgstdv1160.0022
tsnr39.41530416440219
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