The cerebellar atlases are a collection of anatomical and functional atlases of the human cerebellum, both of parcellations and continuous maps. The collection is maintained as a Github repository.

For every maps, we provide some the following files:

The atlases are organized by the first author / year of the main paper

The maps can also be viewed online using our cerebellar atlas viewer.

Probabilistic atlas for cerebellar lobules and nuclei: Diedrichsen (2009)

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).

References and Links:

Resting state network partcellation: Buckner et al. (2011)

Buckner et al. (2011) presented the first comprehensive functional atlas of the human cerebellum, based on the correlation of each cerebellar voxel and with the 7 or 17 cortical resting state networks, described in Yeo et al. Parcellation is based on the data from 1000 subjects. * atl-Buckner7: Assignment of cerebellar voxels to the 7 network parcellation * atl-Buckner17: Assignment of cerebellar voxels to the 17 network parcellation

References and Links:

Individual resting state parcellation: Xue et al. (2020)

Xue et al. (2020) provided two individual parcellations based on resting state data from 31 sessions for each. 10 Cortical networks were estimated using a hierarchical Bayesian model (Kong et al. 2019) and the cerebellum labeled based on the highest correlation with these networks. * atl-Xue10Sub1: Individual parcellation for subject 1 * atl-Xue10Sub2: Individual parcellation for subject 2

References and Links:

Subcortical restingstate parcellation: Ji et al. (2019)

Ji et al. (2019) presented a parcellation of subcortical structures based on correlation with 10 cortical networks, based on the HCP resting state data.

References and Links:

Multi-domain task battery (MDTB) parcellation and contrasts: King et al. (2019)

King et al. (2019) provided an extensive characterization of the functional organization of the cerebellum of 24 healthy, young participants. The contast are for for 47 task conditions, accounted for the activity caused by left hand, right hand, and eye movements. All contrast maps are relative to the mean activitiy across all tasks. The parcellation into 10 regions is defined from the task-evoked activity across all tasks. * atl-MDTB10: MDTB parcellation into 10 regions * con-MDTB01LeftHandMovement: Activity across tasks accounted for by left hand movements * con-MDTB02RightHandMovement: Activity across tasks accounted for by right hand movements * con-MDTB03Saccades: Activity across tasks accounted for by saccadic eye movements * con-MDTB04NoGo: Go-Nogo task with words: No-go * con-MDTB05Go: Go-Nogo task with words: go * ... (see atlas_description.json) * con-MDTB50ResponseAlternativesHard: Execute fast keypress to imparative signal: 4 cued position

References and Links:

Functional cerebellar atlas from fusion across task-based datasets

Functional parcellation into 4 domains, 32 regions or 68 subregions (symmetric or asymmetric). The three levels make up a nested hierarchical organization. An additional version with 128 regions that subdivides the 32 regions spatially into 4 regions (s: superior, i: inferior, t: tertiary, v: vermal) is available. The maps are based on the probabilistic integration of 7 task-based datasets. The color scheme reflects the functional similarity of different regions.

References and Links:

Reference and Licence

The atlas collection was curated by the Diedrichsenlab. If not otherwise noted in the contributing paper, the atlases are distributed under a Creative Commons license CC BY-ND (Attribution - No derivatives).