Glasser52: A parcellation for MEG-Analysis

Summary A parcellation with 52 parcels that can be linked to anatomical labels of the HCP-MMP atlas and is suitable for analyses of MEG recordings. The parcellation was created based on the Human Connectome Project Multimodal Parcellation (HCP-MMP) atlas (Glasser et al., 2016) following the procedure suggested by Tait et al. (2021). The underlying idea of this procedure is to 1) calculate the influence of each of the 22 regions of the HCP-MMP atlas on MEG recordings obtained from healthy controls and PD volunteers and 2) to merge and divide regions so that 52 parcels with similar influence on the MEG sensor signal are obtained. This approach allows to start from the anatomical HCP-MMP atlas and adapts it according to functional signals obtained from MEG recordings. Thus, it enables a good compromise between solely anatomically or solely functionally derived parcellations. (For more information see the Additional Information.docx).Contents: Glasser52_binary_space-MNI152NLin6_res-8x8x8.nii.gzParcellation for MEG-Analyses (8mm voxel resolution). Glasser52_binary_space-MNI152NLin6_res-2x2x2.nii.gzParcellation for MEG-Analyses (2mm voxel resolution). Glasser52_binary_space-MNI152NLin6_res-1x1x1.nii.gzParcellation for MEG-Analyses (1mm voxel resolution). parcelsFolder with images of parcels for 1mm, 2mm, and 8mm resolution. Glasser_Merging.xlsxExcel sheet with detailed information on why parcels were merged or divided. Labels_short.pShort Labels of the Glasser52 labels. Best loaded with pickle.load(open("../Labels_short.p","rb")). Labels.pLabels of the Glasser52 labels. Best loaded with pickle.load(open("../Labels.p","rb")). Additional Informatio.docxDescription of the motivation, methods used, and creation of the Glasser52 parcellation. parcel_names_and_mni_coordinates.docxTable with MNI-coordinates of Glasser52 parcel centres.