login-2:scratch$ seff 13637849
Job ID: 13637849
Cluster: zaratan
User/Group: ga2541/zt-romeo-prj
State: CANCELLED (exit code 0)
Nodes: 1
Cores per node: 6
CPU Utilized: 06:35:28
CPU Efficiency: 3.19% of 8-14:29:24 core-walltime
Job Wall-clock time: 1-10:24:54
Memory Utilized: 13.66 GB
Memory Efficiency: 58.30% of 23.44 GB
Can you please share the most recent script you are using, the BIDS validation report, and try increasing memory/cpu? Maybe try 16cpu/32gb.
Of course!
#!/bin/bash
#SBATCH --job-name=qsiprep
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=6
#SBATCH --time=50:00:00
#SBATCH --mem=24000
#SBATCH --mail-user=ga2541@umd.edu
#SBATCH --mail-type=ALL
#
Sub=$1
participant=${Sub#sub-}
bids_dir=/scratch/zt1/project/romeo-prj/shared/fact
output_dir=/scratch/zt1/project/romeo-prj/shared/fact_qsiprep_output
work_dir=/scratch/zt1/project/romeo-prj/shared/fact_qsiprep_work
module load apptainer
echo "------------------------------------------------------------------"
echo "started QSIprep"
echo ${Sub}
date
echo "------------------------------------------------------------------"
cd /home/${USER}/scratch
# >>> Add TemplateFlow support
export APPTAINERENV_TEMPLATEFLOW_HOME=/templateflow
# <<< End
apptainer exec --cleanenv --containall \
--bind ${bids_dir}:/data:ro \
--bind ${output_dir}:/out \
--bind ${work_dir}:/work \
--bind /home/${USER}/templateflow:/templateflow \
qsiprep_1.0.1.sif \
qsiprep /data /out participant \
--participant-label ${participant} \
--fs-license-file /home/${USER}/license.txt \
--separate-all-dwis \
--output-resolution 1.25 \
--skip-bids-validation \
-w /work
echo "------------------------------------------------------------------"
echo "Ended QSIprep"
echo ${Sub}
date
echo "------------------------------------------------------------------"
bids-validator report:
login-3:fact$ bids-validator-deno /scratch/zt1/project/romeo-prj/shared/fact/sub-FACT181
[WARNING] GZIP_HEADER_MTIME The gzip header contains a non-zero timestamp.
This may leak sensitive information or indicate a non-reproducible conversion process.
/ses-pre/sub-FACT181_ses-pre_dir-AP_epi.nii.gz
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz
4 more files with the same issue
Please visit https://neurostars.org/search?q=GZIP_HEADER_MTIME for existing conversations about this issue.
[WARNING] SIDECAR_KEY_RECOMMENDED A data file's JSON sidecar is missing a key listed as recommended.
StimulusPresentation
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_events.tsv - Field description: Object containing key-value pairs related to the software used to present
the stimuli during the experiment.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_events.tsv - Field description: Object containing key-value pairs related to the software used to present
the stimuli during the experiment.
1 more files with the same issue
NumberOfVolumesDiscardedByScanner
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Number of volumes ("dummy scans") discarded by the scanner
(as opposed to those discarded by the user post hoc)
before saving the imaging file.
For example, a sequence that automatically discards the first 4 volumes
before saving would have this field as 4.
A sequence that does not discard dummy scans would have this set to 0.
Please note that the onsets recorded in the `events.tsv` file should always
refer to the beginning of the acquisition of the first volume in the
corresponding imaging file - independent of the value of
`"NumberOfVolumesDiscardedByScanner"` field.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Number of volumes ("dummy scans") discarded by the scanner
(as opposed to those discarded by the user post hoc)
before saving the imaging file.
For example, a sequence that automatically discards the first 4 volumes
before saving would have this field as 4.
A sequence that does not discard dummy scans would have this set to 0.
Please note that the onsets recorded in the `events.tsv` file should always
refer to the beginning of the acquisition of the first volume in the
corresponding imaging file - independent of the value of
`"NumberOfVolumesDiscardedByScanner"` field.
1 more files with the same issue
NumberOfVolumesDiscardedByUser
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Number of volumes ("dummy scans") discarded by the user before including the
file in the dataset.
If possible, including all of the volumes is strongly recommended.
Please note that the onsets recorded in the `events.tsv` file should always
refer to the beginning of the acquisition of the first volume in the
corresponding imaging file - independent of the value of
`"NumberOfVolumesDiscardedByUser"` field.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Number of volumes ("dummy scans") discarded by the user before including the
file in the dataset.
If possible, including all of the volumes is strongly recommended.
Please note that the onsets recorded in the `events.tsv` file should always
refer to the beginning of the acquisition of the first volume in the
corresponding imaging file - independent of the value of
`"NumberOfVolumesDiscardedByUser"` field.
1 more files with the same issue
DelayTime
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: User specified time (in seconds) to delay the acquisition of data for the
following volume.
If the field is not present it is assumed to be set to zero.
Corresponds to Siemens CSA header field `lDelayTimeInTR`.
This field is REQUIRED for sparse sequences using the `"RepetitionTime"` field
that do not have the `"SliceTiming"` field set to allowed for accurate
calculation of "acquisition time".
This field is mutually exclusive with `"VolumeTiming"`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: User specified time (in seconds) to delay the acquisition of data for the
following volume.
If the field is not present it is assumed to be set to zero.
Corresponds to Siemens CSA header field `lDelayTimeInTR`.
This field is REQUIRED for sparse sequences using the `"RepetitionTime"` field
that do not have the `"SliceTiming"` field set to allowed for accurate
calculation of "acquisition time".
This field is mutually exclusive with `"VolumeTiming"`.
1 more files with the same issue
AcquisitionDuration
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Duration (in seconds) of volume acquisition.
Corresponds to DICOM Tag 0018, 9073 `Acquisition Duration`.
This field is mutually exclusive with `"RepetitionTime"`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Duration (in seconds) of volume acquisition.
Corresponds to DICOM Tag 0018, 9073 `Acquisition Duration`.
This field is mutually exclusive with `"RepetitionTime"`.
1 more files with the same issue
DelayAfterTrigger
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Duration (in seconds) from trigger delivery to scan onset.
This delay is commonly caused by adjustments and loading times.
This specification is entirely independent of
`"NumberOfVolumesDiscardedByScanner"` or `"NumberOfVolumesDiscardedByUser"`,
as the delay precedes the acquisition.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Duration (in seconds) from trigger delivery to scan onset.
This delay is commonly caused by adjustments and loading times.
This specification is entirely independent of
`"NumberOfVolumesDiscardedByScanner"` or `"NumberOfVolumesDiscardedByUser"`,
as the delay precedes the acquisition.
1 more files with the same issue
Instructions
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Text of the instructions given to participants before the recording.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Text of the instructions given to participants before the recording.
1 more files with the same issue
TaskDescription
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Longer description of the task.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Longer description of the task.
1 more files with the same issue
CogAtlasID
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: [URI](SPEC_ROOT/common-principles.md#uniform-resource-indicator)
of the corresponding [Cognitive Atlas](https://www.cognitiveatlas.org/)
Task term.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: [URI](SPEC_ROOT/common-principles.md#uniform-resource-indicator)
of the corresponding [Cognitive Atlas](https://www.cognitiveatlas.org/)
Task term.
1 more files with the same issue
CogPOID
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: [URI](SPEC_ROOT/common-principles.md#uniform-resource-indicator)
of the corresponding [CogPO](http://www.cogpo.org/) term.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: [URI](SPEC_ROOT/common-principles.md#uniform-resource-indicator)
of the corresponding [CogPO](http://www.cogpo.org/) term.
1 more files with the same issue
ReceiveCoilActiveElements
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Information describing the active/selected elements of the receiver coil.
This does not correspond to a tag in the DICOM ontology.
The vendor-defined terminology for active coil elements can go in this field.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Information describing the active/selected elements of the receiver coil.
This does not correspond to a tag in the DICOM ontology.
The vendor-defined terminology for active coil elements can go in this field.
3 more files with the same issue
GradientSetType
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: It should be possible to infer the gradient coil from the scanner model.
If not, for example because of a custom upgrade or use of a gradient
insert set, then the specifications of the actual gradient coil should be
reported independently.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: It should be possible to infer the gradient coil from the scanner model.
If not, for example because of a custom upgrade or use of a gradient
insert set, then the specifications of the actual gradient coil should be
reported independently.
3 more files with the same issue
MRTransmitCoilSequence
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: This is a relevant field if a non-standard transmit coil is used.
Corresponds to DICOM Tag 0018, 9049 `MR Transmit Coil Sequence`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: This is a relevant field if a non-standard transmit coil is used.
Corresponds to DICOM Tag 0018, 9049 `MR Transmit Coil Sequence`.
3 more files with the same issue
MatrixCoilMode
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: (If used)
A method for reducing the number of independent channels by combining in
analog the signals from multiple coil elements.
There are typically different default modes when using un-accelerated or
accelerated (for example, `"GRAPPA"`, `"SENSE"`) imaging.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: (If used)
A method for reducing the number of independent channels by combining in
analog the signals from multiple coil elements.
There are typically different default modes when using un-accelerated or
accelerated (for example, `"GRAPPA"`, `"SENSE"`) imaging.
3 more files with the same issue
CoilCombinationMethod
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Almost all fMRI studies using phased-array coils use root-sum-of-squares
(rSOS) combination, but other methods exist.
The image reconstruction is changed by the coil combination method
(as for the matrix coil mode above),
so anything non-standard should be reported.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Almost all fMRI studies using phased-array coils use root-sum-of-squares
(rSOS) combination, but other methods exist.
The image reconstruction is changed by the coil combination method
(as for the matrix coil mode above),
so anything non-standard should be reported.
3 more files with the same issue
PulseSequenceType
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: A general description of the pulse sequence used for the scan.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: A general description of the pulse sequence used for the scan.
3 more files with the same issue
MTState
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Boolean stating whether the magnetization transfer pulse is applied.
Corresponds to DICOM Tag 0018, 9020 `Magnetization Transfer`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Boolean stating whether the magnetization transfer pulse is applied.
Corresponds to DICOM Tag 0018, 9020 `Magnetization Transfer`.
3 more files with the same issue
SpoilingState
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: Boolean stating whether the pulse sequence uses any type of spoiling
strategy to suppress residual transverse magnetization.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: Boolean stating whether the pulse sequence uses any type of spoiling
strategy to suppress residual transverse magnetization.
3 more files with the same issue
NumberShots
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The number of RF excitations needed to reconstruct a slice or volume
(may be referred to as partition).
Please mind that this is not the same as Echo Train Length which denotes the
number of k-space lines collected after excitation in a multi-echo readout.
The data type array is applicable for specifying this parameter before and
after the k-space center is sampled.
Please see
[`"NumberShots"` metadata field]\
(SPEC_ROOT/appendices/qmri.md#numbershots-metadata-field)
in the qMRI appendix for corresponding calculations.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The number of RF excitations needed to reconstruct a slice or volume
(may be referred to as partition).
Please mind that this is not the same as Echo Train Length which denotes the
number of k-space lines collected after excitation in a multi-echo readout.
The data type array is applicable for specifying this parameter before and
after the k-space center is sampled.
Please see
[`"NumberShots"` metadata field]\
(SPEC_ROOT/appendices/qmri.md#numbershots-metadata-field)
in the qMRI appendix for corresponding calculations.
3 more files with the same issue
ParallelReductionFactorInPlane
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The parallel imaging (for instance, GRAPPA) factor in plane.
Use the denominator of the fraction of k-space encoded for each slice.
For example, 2 means half of k-space is encoded.
Corresponds to DICOM Tag 0018, 9069 `Parallel Reduction Factor In-plane`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The parallel imaging (for instance, GRAPPA) factor in plane.
Use the denominator of the fraction of k-space encoded for each slice.
For example, 2 means half of k-space is encoded.
Corresponds to DICOM Tag 0018, 9069 `Parallel Reduction Factor In-plane`.
1 more files with the same issue
ParallelReductionFactorOutOfPlane
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The parallel imaging (for instance, GRAPPA) factor in the second phase encoding dimension of 3D sequences.
Use the denominator of the fraction of k-space encoded in the second phase encoding dimension.
For example, 2 means half of k-space is encoded.
Will typically be 1 for 2D sequences, as each slice in a 2D acquisition is usually fully encoded.
`ParallelReductionFactorOutOfPlane` should not be confused with `MultibandAccelerationFactor`,
as they imply different methods of accelerating the acquisition.
Corresponds to DICOM Tag 0018, 9155 `Parallel Reduction Factor out-of-plane`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The parallel imaging (for instance, GRAPPA) factor in the second phase encoding dimension of 3D sequences.
Use the denominator of the fraction of k-space encoded in the second phase encoding dimension.
For example, 2 means half of k-space is encoded.
Will typically be 1 for 2D sequences, as each slice in a 2D acquisition is usually fully encoded.
`ParallelReductionFactorOutOfPlane` should not be confused with `MultibandAccelerationFactor`,
as they imply different methods of accelerating the acquisition.
Corresponds to DICOM Tag 0018, 9155 `Parallel Reduction Factor out-of-plane`.
3 more files with the same issue
ParallelAcquisitionTechnique
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The type of parallel imaging used (for example `"GRAPPA"`, `"SENSE"`).
Corresponds to DICOM Tag 0018, 9078 `Parallel Acquisition Technique`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The type of parallel imaging used (for example `"GRAPPA"`, `"SENSE"`).
Corresponds to DICOM Tag 0018, 9078 `Parallel Acquisition Technique`.
3 more files with the same issue
PartialFourierDirection
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The direction where only partial Fourier information was collected.
Corresponds to DICOM Tag 0018, 9036 `Partial Fourier Direction`.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The direction where only partial Fourier information was collected.
Corresponds to DICOM Tag 0018, 9036 `Partial Fourier Direction`.
3 more files with the same issue
MixingTime
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: In the context of a stimulated- and spin-echo 3D EPI sequence for B1+ mapping
or a stimulated-echo MRS sequence,
corresponds to the interval between spin- and stimulated-echo pulses.
In the context of a diffusion-weighted double spin-echo sequence,
corresponds to the interval between two successive diffusion sensitizing
gradients, specified in seconds.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: In the context of a stimulated- and spin-echo 3D EPI sequence for B1+ mapping
or a stimulated-echo MRS sequence,
corresponds to the interval between spin- and stimulated-echo pulses.
In the context of a diffusion-weighted double spin-echo sequence,
corresponds to the interval between two successive diffusion sensitizing
gradients, specified in seconds.
3 more files with the same issue
InversionTime
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The inversion time (TI) for the acquisition, specified in seconds.
Inversion time is the time after the middle of inverting RF pulse to middle
of excitation pulse to detect the amount of longitudinal magnetization.
Corresponds to DICOM Tag 0018, 0082 `Inversion Time`
(please note that the DICOM term is in milliseconds not seconds).
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The inversion time (TI) for the acquisition, specified in seconds.
Inversion time is the time after the middle of inverting RF pulse to middle
of excitation pulse to detect the amount of longitudinal magnetization.
Corresponds to DICOM Tag 0018, 0082 `Inversion Time`
(please note that the DICOM term is in milliseconds not seconds).
3 more files with the same issue
SliceEncodingDirection
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The axis of the NIfTI data along which slices were acquired,
and the direction in which `"SliceTiming"` is defined with respect to.
`i`, `j`, `k` identifiers correspond to the first, second and third axis of
the data in the NIfTI file.
A `-` sign indicates that the contents of `"SliceTiming"` are defined in
reverse order - that is, the first entry corresponds to the slice with the
largest index, and the final entry corresponds to slice index zero.
When present, the axis defined by `"SliceEncodingDirection"` needs to be
consistent with the `slice_dim` field in the NIfTI header.
When absent, the entries in `"SliceTiming"` must be in the order of increasing
slice index as defined by the NIfTI header.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The axis of the NIfTI data along which slices were acquired,
and the direction in which `"SliceTiming"` is defined with respect to.
`i`, `j`, `k` identifiers correspond to the first, second and third axis of
the data in the NIfTI file.
A `-` sign indicates that the contents of `"SliceTiming"` are defined in
reverse order - that is, the first entry corresponds to the slice with the
largest index, and the final entry corresponds to slice index zero.
When present, the axis defined by `"SliceEncodingDirection"` needs to be
consistent with the `slice_dim` field in the NIfTI header.
When absent, the entries in `"SliceTiming"` must be in the order of increasing
slice index as defined by the NIfTI header.
2 more files with the same issue
MultibandAccelerationFactor
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz - Field description: The multiband factor, for multiband acquisitions.
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz - Field description: The multiband factor, for multiband acquisitions.
3 more files with the same issue
EffectiveEchoSpacing
/ses-pre/anat/sub-FACT181_ses-pre_T1w.nii.gz - Field description: The "effective" sampling interval, specified in seconds,
between lines in the phase-encoding direction,
defined based on the size of the reconstructed image in the phase direction.
It is frequently, but incorrectly, referred to as "dwell time"
(see the `"DwellTime"` parameter for actual dwell time).
It is required for unwarping distortions using field maps.
Note that beyond just in-plane acceleration,
a variety of other manipulations to the phase encoding need to be accounted
for properly, including partial fourier, phase oversampling,
phase resolution, phase field-of-view and interpolation.
PhaseEncodingDirection
/ses-pre/anat/sub-FACT181_ses-pre_T1w.nii.gz - Field description: The letters `i`, `j`, `k` correspond to the first, second and third axis of
the data in the NIFTI file.
The polarity of the phase encoding is assumed to go from zero index to
maximum index unless `-` sign is present
(then the order is reversed - starting from the highest index instead of
zero).
`PhaseEncodingDirection` is defined as the direction along which phase is was
modulated which may result in visible distortions.
Note that this is not the same as the DICOM term
`InPlanePhaseEncodingDirection` which can have `ROW` or `COL` values.
TotalReadoutTime
/ses-pre/anat/sub-FACT181_ses-pre_T1w.nii.gz - Field description: This is actually the "effective" total readout time,
defined as the readout duration, specified in seconds,
that would have generated data with the given level of distortion.
It is NOT the actual, physical duration of the readout train.
If `"EffectiveEchoSpacing"` has been properly computed,
it is just `EffectiveEchoSpacing * (ReconMatrixPE - 1)`.
Please visit https://neurostars.org/search?q=SIDECAR_KEY_RECOMMENDED for existing conversations about this issue.
[WARNING] TSV_ADDITIONAL_COLUMNS_UNDEFINED A TSV file has extra columns which are not defined in its associated JSON sidecar
amplitude
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_events.tsv
TODO -- fill in rows and add more tab-separated columns if desired
/ses-pre/func/sub-FACT181_ses-pre_task-rest_run-01_events.tsv
/ses-pre/func/sub-FACT181_ses-pre_task-topuprest_run-01_events.tsv
Please visit https://neurostars.org/search?q=TSV_ADDITIONAL_COLUMNS_UNDEFINED for existing conversations about this issue.
[WARNING] EVENTS_TSV_MISSING Task scans should have a corresponding 'events.tsv' file.
If this is a resting state scan you can ignore this warning or rename the task to include the word "rest".
/ses-pre/func/sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz
Please visit https://neurostars.org/search?q=EVENTS_TSV_MISSING for existing conversations about this issue.
[ERROR] MISSING_DATASET_DESCRIPTION A dataset_description.json file is required in the root of the dataset
Please visit https://neurostars.org/search?q=MISSING_DATASET_DESCRIPTION for existing conversations about this issue.
[ERROR] INVALID_LOCATION The file has a valid name, but is located in an invalid directory.
/ses-pre/sub-FACT181_ses-pre_dir-AP_epi.nii.gz - Expected location: /sub-FACT181/ses-pre/
/ses-pre/sub-FACT181_ses-pre_dir-AP_epi.json - Expected location: /sub-FACT181/ses-pre/
15 more files with the same issue
Please visit https://neurostars.org/search?q=INVALID_LOCATION for existing conversations about this issue.
Please note that re the two errors it is showing at the end:
- the dataset sescription file is located in the root of the directory like I showed in previous conversation
- the
/ses-pre/sub-FACT181_ses-pre_dir-AP_epi
.json
and.nii.gz
files are both within the/sub-FACT181/ses-pre/
directory so I don’t know why this error persists. But given that QSIPrep didn’t throw errors, we might be good. (?).
I will definitely increase the cpu and memory now when i send multiple subjects as an array.
Thanks!
Gavkhar
Hi @gavkhar_a,
Can you show the tree
output of the bids root and of the subject folder? It is unclear why those errors are still occurring if you made the fixes. And print the content of your dataset description.
Best,
Steven
I didn’t have tree
installed on the server that could get this output so I just copy paster how it looks (hope this is ok):
login-2:fact$ ls
dataset_description.json sub-FACT113 sub-FACT126 sub-FACT138 sub-FACT150 sub-FACT163 sub-FACT177
sub-FACT101 sub-FACT114 sub-FACT127 sub-FACT139 sub-FACT151 sub-FACT165 sub-FACT178
sub-FACT102 sub-FACT115 sub-FACT128 sub-FACT140 sub-FACT152 sub-FACT166 sub-FACT179
sub-FACT103 sub-FACT116 sub-FACT129 sub-FACT141 sub-FACT154 sub-FACT167 sub-FACT180
sub-FACT104 sub-FACT117 sub-FACT130 sub-FACT142 sub-FACT155 sub-FACT168 sub-FACT181
sub-FACT105 sub-FACT118 sub-FACT131 sub-FACT143 sub-FACT156 sub-FACT169 sub-FACT182
sub-FACT106 sub-FACT119 sub-FACT132 sub-FACT144 sub-FACT157 sub-FACT171
sub-FACT107 sub-FACT120 sub-FACT133 sub-FACT145 sub-FACT158 sub-FACT172
sub-FACT108 sub-FACT121 sub-FACT134 sub-FACT146 sub-FACT159 sub-FACT173
sub-FACT109 sub-FACT122 sub-FACT135 sub-FACT147 sub-FACT160 sub-FACT174
sub-FACT110 sub-FACT123 sub-FACT136 sub-FACT148 sub-FACT161 sub-FACT175
sub-FACT111 sub-FACT124 sub-FACT137 sub-FACT149 sub-FACT162 sub-FACT176
Here is the subject folder:
login-2:fact$ cd sub-FACT181
login-2:sub-FACT181$ ls
ses-pre
login-2:sub-FACT181$ cd ses-pre
login-2:ses-pre$ ls
anat dwi fmap func
login-2:ses-pre$ cd func
login-2:func$ ls
sub-FACT181_ses-pre_task-rest_run-01_bold.json sub-FACT181_ses-pre_task-story_run-01_events.tsv
sub-FACT181_ses-pre_task-rest_run-01_bold.nii.gz sub-FACT181_ses-pre_task-topuprest_run-01_bold.json
sub-FACT181_ses-pre_task-rest_run-01_events.tsv sub-FACT181_ses-pre_task-topuprest_run-01_bold.nii.gz
sub-FACT181_ses-pre_task-story_run-01_bold.json sub-FACT181_ses-pre_task-topuprest_run-01_events.tsv
sub-FACT181_ses-pre_task-story_run-01_bold.nii.gz
login-2:func$ cd ..
login-2:ses-pre$ cd anat
login-2:anat$ ls
sub-FACT181_ses-pre_T1w.json sub-FACT181_ses-pre_T1w.nii.gz
login-2:anat$ cd ..
login-2:ses-pre$ cd dwi
login-2:dwi$ ls
sub-FACT181_ses-pre_dwi.bval sub-FACT181_ses-pre_dwi.json
sub-FACT181_ses-pre_dwi.bvec sub-FACT181_ses-pre_dwi.nii.gz
login-2:fmap$ ls
sub-FACT181_ses-pre_dir-AP_epi.json sub-FACT181_ses-pre_dir-AP_epi.nii.gz
content of the dataset description file:
login-2:fact$ cat dataset_description.json
{
"Name": "FACT dataset",
"BIDSVersion": "1.8.0"
}
login-2:fact$
Thanks so much!
Gavkhar
Hi @gavkhar_a,
You can install tree
in a conda environment.
It looks like your BIDS directory is missing other important files like README
, participants.json/tsv
, etc.
There are also more required fields expected in the dataset_description.json
file.
I encourage you to look at the BIDS specification: Modality agnostic files - Brain Imaging Data Structure 1.10.0
And sorry to keep asking for this, but it still is not clear to me what these topup
files (for DWI or fMRI) are. Are they single-volume reverse phase encoded b0 maps straight from the scanner that are meant to be put into topup
? Or are they some derivative of topup
processing? It just seems odd that they would have the same phase encoding direction as the primary DWI series.
Best,
Steven
Best,
Steven
Thanks! I realize that there is no participants.json/tsv
etc missing. A curiosity question though: We were able to run full fmriprep on all these participants recently. I know QSIPrep works similarly to FMRIprep so I wonder why we didn’t’ have any issues when runnign fmriprep previously? Just curious.
And now, considering that I might be missing a few files, would I still be able to run qsiprep (given that I increase the memory and cpu)?
Re the topup runs, I am honestly not sure as this is the dataset I was given and the raw dicoms for this data are no longer available to us so I can’t run the bids conversion by latest standards even if I wanted to unfortunately.
The phase encoding for those says j--
which is why I labeled/renamed them as AP accordingly.
A heads up, I doubt SDC was performed correctly if your topupbold
files were in your func
folder (if that is indeed what the topup
files are meant for).
Those files (e.g., README
) aren’t explicitly used by the softwares, but are still good to make your dataset BIDS compliant.
Is there anyone you can ask?
The file naming doesn’t matter as much as the metadata in the JSON. If it is not reverse phase encoded, it will not do SDC.
Best,
Steven