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-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-53/figures/sub-53_ses-1_task-motor_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-53/figures/sub-53_ses-1_task-motor_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-53/figures/sub-53_ses-1_task-motor_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-53/figures/sub-53_ses-1_task-motor_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-53/figures/sub-53_ses-1_task-motor_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-53/figures/sub-53_ses-1_task-motor_run-01_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-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-53/ses-1/func/sub-53_ses-1_task-motor_run-01_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum161e4fb286a70ec06f36b07a882e8a60

AcquisitionMatrixPE100
AcquisitionNumber1
AcquisitionTime12:45:36.987500
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
SeriesNumber3
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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aor0.0037465517241379314
aqi0.02941508245689655
dummy_trs0
dvarsnstd53.190263541861476
dvarsstd1.0522631477489175
dvarsvstd0.9858987665800866
efc0.6256
fber87.6995
fdmean0.22518479049475484
fdnum92
fdperc39.6551724137931
fwhmavg3.4476633333333333
fwhmx3.24685
fwhmy3.4269
fwhmz3.66924
gcor0.0101617
gsrx0.033695027232170105
gsry0.05160865560173988
sizet232
sizex100
sizey100
sizez72
snr2.1654225974230252
spacingtr2.0
spacingx2.0
spacingy2.0
spacingz2.0
summarybgk14.6369
summarybgmad22.7503
summarybgmean112.205
summarybgmedian63.0
summarybgn557305.0
summarybgp0544.0
summarybgp95405.0
summarybgstdv133.0105
summaryfgk0.7654
summaryfgmad240.7056
summaryfgmean611.4324
summaryfgmedian590.0
summaryfgn162695.0
summaryfgp05170.0
summaryfgp951108.0
summaryfgstdv272.4633
tsnr23.861576942028478
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