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-01/figures/sub-01_ses-coco_task-coco_run-08_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-01/figures/sub-01_ses-coco_task-coco_run-08_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-01/figures/sub-01_ses-coco_task-coco_run-08_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-01/figures/sub-01_ses-coco_task-coco_run-08_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-01/figures/sub-01_ses-coco_task-coco_run-08_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-01/figures/sub-01_ses-coco_task-coco_run-08_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-01/figures/sub-01_ses-coco_task-coco_run-08_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-01/figures/sub-01_ses-coco_task-coco_run-08_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-01/ses-coco/func/sub-01_ses-coco_task-coco_run-08_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumefc0d814b87f3dc766da42e43c927722

AcquisitionMatrixPE100
AcquisitionNumber1
AcquisitionTime10:18:42.657500
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, 0.983255, -0.182236]
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
SAR0.0602094
ScanOptionsFS
ScanningSequenceEP
SequenceName_epfid2d1_100
SequenceVariantSK
SeriesDescriptionbold_100x100_s3_2x2x2_static_test_241
SeriesNumber12
ShimSetting[-5464, -11487, -1276, 377, -26, -110, -132, 54]
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
TxRefAmp206.412
dcmmetaaffine[[-2.0, 0.0, 0.0, 100.0], [0.0, 1.9665098190307617, -0.36447104811668396, -84.17688751220703], [0.0, 0.36447104811668396, 1.9665096998214722, -89.79066467285156], [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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aor0.0005794190871369294
aqi0.007007358132780084
dummy_trs0
dvarsnstd36.633253225000004
dvarsstd1.1011852339166661
dvarsvstd0.9953077840833334
efc0.6005
fber142.2377
fdmean0.064994695645476
fdnum0
fdperc0.0
fwhmavg3.5861867372088674
fwhmx3.532465
fwhmy3.67559
fwhmz3.550505211626602
gcor0.0188722
gsrx0.013938235118985176
gsry0.0872383639216423
sizet241
sizex100
sizey100
sizez72
snr1.9400575609067496
spacingtr2.0
spacingx2.0
spacingy2.0
spacingz1.9999998807907104
summarybgk27.3762
summarybgmad19.9628
summarybgmean120.2882
summarybgmedian61.0
summarybgn532034.0
summarybgp0545.0
summarybgp95450.0
summarybgstdv163.5775
summaryfgk0.9013
summaryfgmad332.392
summaryfgmean777.6495
summaryfgmedian728.0
summaryfgn187966.0
summaryfgp05206.0
summaryfgp951489.0
summaryfgstdv375.2456
tsnr40.23950423579663
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