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-1_task-motor_run-04_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-1_task-motor_run-04_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-1_task-motor_run-04_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-1_task-motor_run-04_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-1_task-motor_run-04_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-1_task-motor_run-04_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-1_task-motor_run-04_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-1_task-motor_run-04_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-1/func/sub-53_ses-1_task-motor_run-04_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumd8ee46395b09c0810f6246ee450bafe7

AcquisitionMatrixPE100
AcquisitionNumber1
AcquisitionTime13:14:22.155000
BandwidthPerPixelPhaseEncode18.519
BaseResolution100
BodyPartExaminedBRAIN
ConsistencyInfoN4_VE11C_LATEST_20160120
ConversionSoftwaredcm2niix
ConversionSoftwareVersionv1.0.20180622 GCC4.9.2
DerivedVendorReportedEchoSpacing0.000539986
DeviceSerialNumber166078
DwellTime2.1e-06
EchoTime0.034
EchoTrainLength100
EffectiveEchoSpacing0.000539986
FlipAngle90
ImageOrientationPatientDICOM[0.99914, 0.0114361, 0.0398486, 3.13087e-08, 0.9612, -0.275854]
ImageType['ORIGINAL', 'PRIMARY', 'M', 'ND', 'MOSAIC']
InPlanePhaseEncodingDirectionDICOMCOL
InstitutionAddressStreet_StreetNo_Bei_Jing_District_CN_ZIP
InstitutionNameBeiJing_Normal_University
InstitutionalDepartmentNameDepartment
MRAcquisitionType2D
MagneticFieldStrength3
ManufacturerSiemens
ManufacturersModelNamePrisma
ModalityMR
MultibandAccelerationFactor3
PartialFourier1
PatientPositionHFS
PercentPhaseFOV100
PhaseEncodingDirectionj-
PhaseEncodingSteps100
PhaseResolution1
PixelBandwidth2380
ProcedureStepDescriptionBNU_P2018_64CH_Liu.Jia
ProtocolNamebold_100x100_s3_2x2x2_232
PulseSequenceDetails%SiemensSeq%_ep2d_bold
ReceiveCoilActiveElementsHC1-7;NC1
ReceiveCoilNameHeadNeck_64
ReconMatrixPE100
RepetitionTime2
SAR0.064678
ScanOptionsFS
ScanningSequenceEP
SequenceName_epfid2d1_100
SequenceVariantSK
SeriesDescriptionbold_100x100_s3_2x2x2_232
SeriesNumber8
ShimSetting[-5438, -11472, -1304, 275, -113, -333, -118, -64]
SliceThickness2
SliceTiming[1.485, 0, 0.99, 0.0825, 1.0725, 0.165, 1.155, 0.2475, 1.2375, 0.33, 1.32, 0.4125, 1.4025, 0.5775, 1.5675, 0.66, 1.65, 0.7425, 1.7325, 0.825, 1.815, 0.9075, 1.8975, 0.495, 1.485, 0, 0.99, 0.0825, 1.0725, 0.165, 1.155, 0.2475, 1.2375, 0.33, 1.32, 0.4125, 1.4025, 0.5775, 1.5675, 0.66, 1.65, 0.7425, 1.7325, 0.825, 1.815, 0.9075, 1.8975, 0.495, 1.485, 0, 0.99, 0.0825, 1.0725, 0.165, 1.155, 0.2475, 1.2375, 0.33, 1.32, 0.4125, 1.4025, 0.5775, 1.5675, 0.66, 1.65, 0.7425, 1.7325, 0.825, 1.815, 0.9075, 1.8975, 0.495]
SoftwareVersionssyngo_MR_E11
SpacingBetweenSlices2
StationNameAWP166078
TaskNamemotor
TotalReadoutTime0.0534586
TxRefAmp238.915
dcmmetaaffine[[-1.9982805252075195, 6.261741702928703e-08, 0.08291423320770264, 96.36469268798828], [-0.022872157394886017, 1.9223991632461548, -0.5512335300445557, -66.622314453125], [0.0796971470117569, 0.5517078638076782, 1.9207464456558228, -123.61256408691406], [0.0, 0.0, 0.0, 1.0]]
dcmmetareorient_transform[[0.0, -1.0, 0.0, 99.0], [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[100, 100, 72, 232]
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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aor0.0008257327586206897
aqi0.017742087155172413
dummy_trs0
dvarsnstd48.77526110701301
dvarsstd1.0546925377922074
dvarsvstd0.9846842668831166
efc0.6276
fber86.3673
fdmean0.20178638097605706
fdnum100
fdperc43.10344827586207
fwhmavg3.3321966666666665
fwhmx3.185915
fwhmy3.348155
fwhmz3.46252
gcor0.0103526
gsrx0.0355055071413517
gsry0.050881337374448776
sizet232
sizex100
sizey100
sizez72
snr2.1430706104742065
spacingtr2.0
spacingx2.0
spacingy2.0
spacingz2.0
summarybgk14.3282
summarybgmad23.3318
summarybgmean115.1758
summarybgmedian64.0
summarybgn557164.0
summarybgp0544.0
summarybgp95419.0
summarybgstdv136.6355
summaryfgk0.7601
summaryfgmad243.4375
summaryfgmean614.524
summaryfgmedian592.0
summaryfgn162836.0
summaryfgp05166.0
summaryfgp951119.0
summaryfgstdv276.2383
tsnr28.609930920414627
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