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-04/figures/sub-04_task-rf_run-2_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-04/figures/sub-04_task-rf_run-2_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-04/figures/sub-04_task-rf_run-2_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-04/figures/sub-04_task-rf_run-2_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-04/figures/sub-04_task-rf_run-2_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-04/figures/sub-04_task-rf_run-2_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.

Get figure file: sub-04/figures/sub-04_task-rf_run-2_desc-norm_bold.svg

About

Errors

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Reproducibility and provenance information

Thanks for using MRIQC. The following information may assist in reconstructing the provenance of the corresponding derivatives.

Execution environment		singularity
Input filename		/sub-04/func/sub-04_task-rf_run-2_bold.nii
Versions	MRIQC	24.1.0.dev0+gd5b13cb5.d20240826
Versions	NiPype	1.8.6
Versions	TemplateFlow	24.2.0
md5sum		883bd48875ec1e1dc4789c1509b7a6b7

Authors	['Benjamin J. Griffiths', 'Stephen D. Mayhew', 'Karen J. Mullinger', 'Ian Charest', 'Maria Wimber', 'Simon Hanslmayr']
BIDSVersion	1.1.1
Funding	ERC Consolidator Grant Number 647954
HowToAcknowledge	If you use/reference this dataset in your publications, please cite the original paper TBD and the dataset DOI TBD
InstitutionAddress	University of Birmingham, Edgbaston, Birmingham, West Midlands, United Kingdom, B15 2TT
InstitutionName	University of Birmingham
License	PDDL
MagneticFieldStrength	3T
Manufacturer	Philips
ManufacturersModelName	3T Philips Achieva MRI Scanner
Name	reinstatement_fidelity
NumberOfVolumesDiscardedByScanner	4
NumberOfVolumesDiscardedByUser	0
ReferencesAndLinks	['http://www.memorybham.com/']
RepetitionTime	2
TaskName	rf
VolumeTiming	[0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200, 202, 204, 206, 208, 210, 212, 214, 216, 218, 220, 222, 224, 226, 228, 230, 232, 234, 236, 238, 240, 242, 244, 246, 248, 250, 252, 254, 256, 258, 260, 262, 264, 266, 268, 270, 272, 274, 276, 278, 280, 282, 284, 286, 288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308, 310, 312, 314, 316, 318, 320, 322, 324, 326, 328, 330, 332, 334, 336, 338, 340, 342, 344, 346, 348, 350, 352, 354, 356, 358, 360, 362, 364, 366, 368, 370, 372, 374, 376, 378, 380, 382, 384, 386, 388, 390, 392, 394, 396, 398, 400, 402, 404, 406, 408, 410, 412, 414, 416, 418, 420, 422, 424, 426, 428, 430, 432, 434, 436, 438, 440, 442, 444, 446, 448, 450, 452, 454, 456, 458, 460, 462, 464, 466, 468, 470, 472, 474, 476, 478, 480, 482, 484, 486, 488, 490, 492, 494, 496, 498, 500, 502, 504, 506, 508]

aor			0.003401921568627451
aqi			0.024004382823529416
dummy_trs			0
dvars	nstd		21.29106487822835
dvars	std		1.030765934527559
dvars	vstd		0.8602954154724407
efc			0.4705
fber			-1.0
fd	mean		0.09491502652235487
fd	num		8
fd	perc		3.1372549019607843
fwhm	avg		2.7937961111111114
fwhm	x		2.8491966666666664
fwhm	y		3.170916666666667
fwhm	z		2.361275
gcor			0.00401392
gsr	x		0.01445859670639038
gsr	y		0.001805732841603458
size	t		255
size	x		64
size	y		64
size	z		32
snr			2.9950123901197174
spacing	tr		2.0
spacing	x		3.0
spacing	y		3.0
spacing	z		4.0
summary	bg	k	56.2609
summary	bg	mad	0.0
summary	bg	mean	661.0892
summary	bg	median	0.0
summary	bg	n	95670.0
summary	bg	p05	0.0
summary	bg	p95	3573.0
summary	bg	stdv	1979.1416
summary	fg	k	0.463
summary	fg	mad	6753.6411
summary	fg	mean	26331.1745
summary	fg	median	28515.5
summary	fg	n	35402.0
summary	fg	p05	5115.0
summary	fg	p95	38219.0
summary	fg	stdv	9520.8612
tsnr			32.91065741702914

Basic echo-wise reports

Standard deviation of signal through time

View of the background of the voxel-wise average of the BOLD timeseries

Voxel-wise average of BOLD time-series, zoomed-in covering just the brain

Carpetplot and nuisance signals

Extended echo-wise reports

Voxel-wise average of BOLD time-series

Extended reports shared across echos

Brain extraction performance

Spatial normalization of the anatomical image

About

Errors

Reproducibility and provenance information

Provenance Information

Dataset Information

Extracted Image quality metrics (IQMs)

Overall Quality Rating

Record specific artifacts

Extra details