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-02/figures/sub-02_ses-coco_task-coco_run-07_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-02/figures/sub-02_ses-coco_task-coco_run-07_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-02/figures/sub-02_ses-coco_task-coco_run-07_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-02/figures/sub-02_ses-coco_task-coco_run-07_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-02/figures/sub-02_ses-coco_task-coco_run-07_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-02/figures/sub-02_ses-coco_task-coco_run-07_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-02/figures/sub-02_ses-coco_task-coco_run-07_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-02/figures/sub-02_ses-coco_task-coco_run-07_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-02/ses-coco/func/sub-02_ses-coco_task-coco_run-07_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum5f698186d801cc109e573a6cba11c39d

AcquisitionMatrixPE100
AcquisitionNumber1
AcquisitionTime15:46:3.700000
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[1, 0, 0, 0, 0.999781, -0.0209424]
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_Zhen.ZongLei
ProtocolNamebold_100x100_s3_2x2x2_static_test_241
PulseSequenceDetails%SiemensSeq%_ep2d_bold
ReceiveCoilActiveElementsHC1-7;NC1
ReceiveCoilNameHeadNeck_64
ReconMatrixPE100
RepetitionTime2
SAR0.0770821
ScanOptionsFS
ScanningSequenceEP
SequenceName_epfid2d1_100
SequenceVariantSK
SeriesDescriptionbold_100x100_s3_2x2x2_static_test_241
SeriesNumber11
ShimSetting[-5450, -11528, -1197, 543, 14, -244, 22, 63]
SliceThickness2
SliceTiming[1.4825, 0, 0.99, 0.0825, 1.0725, 0.165, 1.155, 0.2475, 1.2375, 0.33, 1.32, 0.4125, 1.4, 0.5775, 1.565, 0.66, 1.6475, 0.7425, 1.73, 0.825, 1.8125, 0.9075, 1.895, 0.495, 1.4825, 0, 0.99, 0.0825, 1.0725, 0.165, 1.155, 0.2475, 1.2375, 0.33, 1.32, 0.4125, 1.4, 0.5775, 1.565, 0.66, 1.6475, 0.7425, 1.73, 0.825, 1.8125, 0.9075, 1.895, 0.495, 1.4825, 0, 0.99, 0.0825, 1.0725, 0.165, 1.155, 0.2475, 1.2375, 0.33, 1.32, 0.4125, 1.4, 0.5775, 1.565, 0.66, 1.6475, 0.7425, 1.73, 0.825, 1.8125, 0.9075, 1.895, 0.495]
SoftwareVersionssyngo_MR_E11
SpacingBetweenSlices2
StationNameAWP166078
TaskNamecoco
TotalReadoutTime0.0534586
TxRefAmp209.645
dcmmetaaffine[[-2.0, 0.0, 0.0, 100.67469787597656], [0.0, 1.9995613098144531, -0.04188483953475952, -82.38557434082031], [0.0, 0.04188483953475952, 1.9995613098144531, -38.7428092956543], [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, 241]
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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aor0.001057125
aqi0.00652067675
dummy_trs1
dvarsnstd40.531064484518836
dvarsstd1.1453697309623432
dvarsvstd0.9959649787866107
efc0.5867
fber163.9218
fdmean0.058492391719687675
fdnum10
fdperc4.166666666666667
fwhmavg3.277485
fwhmx3.12395
fwhmy3.462175
fwhmz3.24633
gcor0.00488878
gsrx-0.014354771934449673
gsry0.08124957978725433
sizet240
sizex100
sizey100
sizez72
snr2.086087484779943
spacingtr2.0
spacingx2.0
spacingy2.0
spacingz2.0
summarybgk22.3621
summarybgmad14.4492
summarybgmean96.0427
summarybgmedian56.0
summarybgn538810.0
summarybgp0544.0
summarybgp95309.0
summarybgstdv109.0373
summaryfgk0.2978
summaryfgmad332.2666
summaryfgmean753.7774
summaryfgmedian722.0
summaryfgn181190.0
summaryfgp05190.0
summaryfgp951366.0
summaryfgstdv346.1015
tsnr40.98342686891556
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