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* ADD test data from giga connectome artefact Just one subject * FIX atlases/ should be include the func level FIX error in file name * MeanFrameWiseDisplacement -> MeanFramewiseDisplacement
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{ | ||
"BIDSVersion": "1.9.0", | ||
"License": null, | ||
"Name": null, | ||
"ReferencesAndLinks": [], | ||
"DatasetDOI": null, | ||
"DatasetType": "derivative", | ||
"GeneratedBy": [ | ||
{ | ||
"Name": "giga_connectome", | ||
"Version": "0.5.1.dev13+gd722c8a.d20240502", | ||
"CodeURL": "https://github.com/bids-apps/giga_connectome.git" | ||
} | ||
], | ||
"HowToAcknowledge": "Please refer to our repository: https://github.com/bids-apps/giga_connectome.git." | ||
} |
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These results were generated with | ||
giga_connectome (version 0.5.1.dev13+gd722c8a.d20240502, https://giga-connectome.readthedocs.io/en/latest/) | ||
using Nilearn (version 0.10.3, RRID:SCR_001362) | ||
and TemplateFlow (version 0.8.1). | ||
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The following steps were followed. | ||
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1. Retrieve subject specific grey matter mask in MNI space (MNI152NLin2009cAsym). | ||
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1. Sampled the Schaefer20187Networks atlas to the space of subject specific grey matter mask in MNI space. | ||
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1. Calculated the conjunction of the subject specific grey matter mask and resampled atlas to find valid parcels. | ||
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1. Used the subject specific grey matter mask and atlas to extract time series and connectomes for each subject. | ||
The time series data were denoised as follow: | ||
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- Time series extractions through label or map maskers are performed on the denoised nifti file. | ||
- Denoising steps were performed on the voxel level: | ||
- spatial smoothing (FWHM: 5.0 mm) | ||
- detrending, only if high pass filter was not applied through confounds | ||
- regressing out confounds (using a simple strategy) | ||
- standardized (using zscore) | ||
- Extracted time series from atlas | ||
- Computed correlation matrix (Pearson's correlation with LedoitWolf covariance estimator) | ||
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{ | ||
"Measure": "Pearson correlation", | ||
"MeasureDescription": "Pearson correlation", | ||
"Weighted": false, | ||
"Directed": false, | ||
"ValidDiagonal": true, | ||
"StorageFormat": "Full", | ||
"NonNegative": "", | ||
"Code": "https://github.com/bids-apps/giga_connectome.git" | ||
} |
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{"MeanFramewiseDisplacement": 0.03, "ConfoundRegressors": ["csf", "white_matter", "grey_matter", "cosine00", "cosine01", "cosine02", "cosine03", "trans_x", "trans_y", "trans_z", "rot_x", "rot_y", "rot_z"], "NumberOfVolumesDiscardedByMotionScrubbing": 0, "NumberOfVolumesDiscardedByNonsteadyStatesDetector": 5, "SamplingFrequency": 0.5} |
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{"MeanFramewiseDisplacement": 0.03, "ConfoundRegressors": ["csf", "white_matter", "grey_matter", "cosine00", "cosine01", "cosine02", "cosine03", "trans_x", "trans_y", "trans_z", "rot_x", "rot_y", "rot_z"], "NumberOfVolumesDiscardedByMotionScrubbing": 0, "NumberOfVolumesDiscardedByNonsteadyStatesDetector": 5, "SamplingFrequency": 0.5} |
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{"MeanFramewiseDisplacement": 0.03, "ConfoundRegressors": ["csf", "white_matter", "grey_matter", "cosine00", "cosine01", "cosine02", "cosine03", "trans_x", "trans_y", "trans_z", "rot_x", "rot_y", "rot_z"], "NumberOfVolumesDiscardedByMotionScrubbing": 0, "NumberOfVolumesDiscardedByNonsteadyStatesDetector": 5, "SamplingFrequency": 0.5} |
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{"MeanFramewiseDisplacement": 0.03, "ConfoundRegressors": ["csf", "white_matter", "grey_matter", "cosine00", "cosine01", "cosine02", "cosine03", "trans_x", "trans_y", "trans_z", "rot_x", "rot_y", "rot_z"], "NumberOfVolumesDiscardedByMotionScrubbing": 0, "NumberOfVolumesDiscardedByNonsteadyStatesDetector": 5, "SamplingFrequency": 0.5} |
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{"MeanFramewiseDisplacement": 0.03, "ConfoundRegressors": ["csf", "white_matter", "grey_matter", "cosine00", "cosine01", "cosine02", "cosine03", "trans_x", "trans_y", "trans_z", "rot_x", "rot_y", "rot_z"], "NumberOfVolumesDiscardedByMotionScrubbing": 0, "NumberOfVolumesDiscardedByNonsteadyStatesDetector": 5, "SamplingFrequency": 0.5} |
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{"MeanFramewiseDisplacement": 0.03, "ConfoundRegressors": ["csf", "white_matter", "grey_matter", "cosine00", "cosine01", "cosine02", "cosine03", "trans_x", "trans_y", "trans_z", "rot_x", "rot_y", "rot_z"], "NumberOfVolumesDiscardedByMotionScrubbing": 0, "NumberOfVolumesDiscardedByNonsteadyStatesDetector": 5, "SamplingFrequency": 0.5} |
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{"MeanFramewiseDisplacement": 0.03, "ConfoundRegressors": ["csf", "white_matter", "grey_matter", "cosine00", "cosine01", "cosine02", "cosine03", "trans_x", "trans_y", "trans_z", "rot_x", "rot_y", "rot_z"], "NumberOfVolumesDiscardedByMotionScrubbing": 0, "NumberOfVolumesDiscardedByNonsteadyStatesDetector": 5, "SamplingFrequency": 0.5} |
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