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-02_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-02_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-02_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-02_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-02_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-02_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-02_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-02_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-02_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum3e903df63628813b31e346713e4e4408

AcquisitionMatrixPE100
AcquisitionNumber1
AcquisitionTime09:18:43.130000
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
SeriesNumber4
ShimSetting[-5464, -11487, -1276, 377, -26, -110, -132, 54]
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
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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aor0.00046639004149377593
aqi0.005145089419087137
dummy_trs0
dvarsnstd35.753598411958365
dvarsstd1.0990293221249998
dvarsvstd0.9978316985000005
efc0.5937
fber151.0739
fdmean0.07060067557577675
fdnum0
fdperc0.0
fwhmavg3.557165069498424
fwhmx3.510035
fwhmy3.66349
fwhmz3.4979702084952717
gcor0.00712837
gsrx0.013941203244030476
gsry0.07955752313137054
sizet241
sizex100
sizey100
sizez72
snr1.9283352563535316
spacingtr2.0
spacingx2.0
spacingy2.0
spacingz1.9999998807907104
summarybgk32.3641
summarybgmad19.766
summarybgmean114.6459
summarybgmedian61.0
summarybgn531936.0
summarybgp0545.0
summarybgp95409.0
summarybgstdv151.7567
summaryfgk0.9506
summaryfgmad352.0534
summaryfgmean790.8842
summaryfgmedian744.0
summaryfgn188064.0
summaryfgp05191.0
summaryfgp951490.0
summaryfgstdv385.824
tsnr42.819607760058716
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