2016 Glasser MMP1.0 Cortical Atlases
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https://figshare.com/articles/dataset/2016_Glasser_MMP1_0_Cortical_Atlases/24431146/8
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The human connectome project's group level multimodal parcellation (MMP; Glasser et al. [2016] Nature) is here projected from surface coordinates into volumetric space using registration fusion. 329 participants from two previously published studies (N=88 and N=241) contributed their individual alignments for registration fusion, all of which were computed by running fmriprep with default parameters and --recon-all to produce freesurfer surface segmentations and alignments. By passing the surface atlas through the subject specific transformations we obtain subject specific projections of the atlas onto two standard templates in widespread use, MNI152NLin6Asym (FSL/HCP "standard" space) and MNI152NLin2009cAsym (fmriprep's default space). Probabilistic parcel labels were derived based on individual subject alignments. Data is available as probability maps for each parcel, and also as labeled parcellations obtained using winner-take-all label assignments and a 0.2 probability threshold, in addition to individual subject segmentations in template space.File dictionary:<br>glasser_MNI152NLin[2009c|6]Asym_atlas.nii.gz - probabilistic maps projected to two templates' spaces<br>glasser_atlas_labels.txt - labels of parcels above, line order corresponds to volume order.<br>glasser_MNI152NLin[2009cA|6]Asym_labeled_p20.nii.gz - winner-takes-all parcellation derived from probabilistic maps (p > 0.2) with a connectome workbench compatible color map.<br>[lr]h_[bmrk5|paingen]_MNI152NLin[2009c|6]Asym.nii.gz - subject specific parcellations projected in templates' space. One per hemisphere<br>[rl]h.HCP.MMP1 - glasser atlas resampled to fsaverage surfaces<br>methods - informal methods description (but still pretty formal)Refer to methods.txt for scanning protocols and participant details.For a comparison with https://figshare.com/articles/dataset/HCP-MMP1_0_projected_on_MNI2009a_GM_volumetric_in_NIfTI_format/3501911 please see README here:<br>https://github.com/canlab/Neuroimaging_Pattern_Masks/tree/master/Atlases_and_parcellations/2016_Glasser_Nature_HumanConnectomeParcellation
提供机构:
Wager, Tor; A. Lindquist, Martin; Ceko, Marta; Friedman, Naomi P.; A. Reynolds Losin, Elizabeth; petre, bogdan; C. Keller, Matthew
创建时间:
2023-11-09



