The Atlas package provides a collection of anatomical and functional atlases of the human cerebellum. The atlases are provided as NIFTI-volumes in two subdirectories:
- atlasesSUIT: Atlases aligned to SUIT space
- atlasesMNI: Atlases aligned to MNI space
Probabilistic atlas of cerebellar lobules:
The anatomical definitions are based on the fMRI atlas of an individual cerebellum by Schmahmann et al. (2000). We manually identified the main lobules on MRI scans of 20 healthy young participants (ROIs 1-28). Using a different set of 23 participants, we also identified the deep cerebellar nuclei (ROIs 29-34).
Lobules-SUIT.nii: Map signifying the most probable compartment.
Lobules-SUIT.txt: Assignment of compartment numbers to lobules.
Lobules-SUIT-maxprob.nii: Probability of the compartment with the highest probability
Lobules-SUIT-prob.nii: Full probability maps for each of the compartments
- Diedrichsen, J., Balsters, J. H., Flavell, J., Cussans, E., & Ramnani, N. (2009). A probabilistic atlas of the human cerebellum. Neuroimage.
- Diedrichsen, J., Maderwald, S., Kuper, M., Thurling, M., Rabe, K., Gizewski, E. R., et al. (2011). Imaging the deep cerebellar nuclei: A probabilistic atlas and normalization procedure. Neuroimage.
More information: diedrichsenlab.org/imaging/propatlas.htm
Task free parcellation:
Buckner et al. (2011) presented the first comprehensive functional atlas of the human cerebellum, based on the correlation of each cerebellar voxel and with cortical resting state networks. based on the data from 1000 subjects. A parcellation of 7 and 17 regions is available.
Buckner_7Networks.nii: Assignment of cerebellar voxels to the 7 network parcellation
Buckner_17Networks.nii: Assignment of cerebellar voxels to the 17 network parcellation
- Buckner RL, Krienen FM, Castellanos A, Diaz JC, Yeo BT (2011) The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol 106:2322-2345.
Ji et al. (2019) presented a parcellation of subcortical structures based on correlation with 10 cortical networks, based on the HCP resting state data.
- Ji, J.L., Spronk, M., Kulkarni, K., Repovš, G., Anticevic, A., and Cole, M.W. (2019). Mapping the human brain’s cortical-subcortical functional network organization. Neuroimage *185*, 35–57.
More information: diedrichsenlab.org/imaging/suit_connect.htm
Multi-domain task battery (MDTB) parcellation:
King et al. (2019) provided an extensive characterization of the functional organization of the cerebellum, by collecting data from 47 task conditions in 24 healthy, young participants. Based on the the task data, a parcellation of the cerebellum in 7, 10, or 17 regions was supplied.
MDTB_10Regions.nii: Assignment of all cerebellar voxels to 10 functional regions
- King, M., Hernandez-Castillo, C.R., Poldrack, R.R., Ivry, R., and Diedrichsen, J. (2019). Functional Boundaries in the Human Cerebellum revealed by a Multi-Domain Task Battery. Nat. Neurosci.
More information: diedrichsenlab.org/imaging/mdtb.htm
Retinotopic maps of the cerebellum
Based on an openly available 7T data set for retinotopic mapping, van Es et al. (2019) identified 3 areas in the human cerebellum that showed lateralized visual activity. The area in the oculo-motor vermis (OVM) and lobule VIII could further be subdivided into a medial and lateral aspect.
vanEs_retinotopy.nii: Assignment of all cerebellar voxels to 10 visuospatial areas
- van Es, D.M., van der Zwaag, W., and Knapen, T. (2019). Retinotopic maps of visual space in the human cerebellum. Curreny Biology.
Somatotopic organisation based on HCP task data set
Based on the movement conditions of the HCP data set (Barch et al. 2013), we derived a winner-take-all map for left foot, right foot, left hand, right hand, and tongue conditions.
HCP_somatotopy.nii: Bodypart, for which maximal activation can be observed, thresholded at 0.7
- Barch, D.M., Burgess, G.C., Harms, M.P., Petersen, S.E., Schlaggar, B.L., Corbetta, M., Glasser, M.F., Curtiss, S., Dixit, S., Feldt, C., et al. (2013). Function in the human connectome: task-fMRI and individual differences in behavior. Neuroimage 80, 169–189.