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A hierarchical atlas of the human cerebellum for functional precision mapping

Author

Listed:
  • Caroline Nettekoven

    (Western University
    Western University)

  • Da Zhi

    (Western University
    Western University)

  • Ladan Shahshahani

    (Western University)

  • Ana Luísa Pinho

    (Western University
    Western University)

  • Noam Saadon-Grosman

    (Harvard University)

  • Randy Lee Buckner

    (Harvard University)

  • Jörn Diedrichsen

    (Western University
    Western University
    Western University)

Abstract

The human cerebellum is activated by a wide variety of cognitive and motor tasks. Previous functional atlases have relied on single task-based or resting-state fMRI datasets. Here, we present a functional atlas that integrates information from seven large-scale datasets, outperforming existing group atlases. The atlas has three further advantages. First, the atlas allows for precision mapping in individuals: the integration of the probabilistic group atlas with an individual localizer scan results in a marked improvement in prediction of individual boundaries. Second, we provide both asymmetric and symmetric versions of the atlas. The symmetric version, which is obtained by constraining the boundaries to be the same across hemispheres, is especially useful in studying functional lateralization. Finally, the regions are hierarchically organized across three levels, allowing analyses at the appropriate level of granularity. Overall, the present atlas is an important resource for the study of the interdigitated functional organization of the human cerebellum in health and disease.

Suggested Citation

  • Caroline Nettekoven & Da Zhi & Ladan Shahshahani & Ana Luísa Pinho & Noam Saadon-Grosman & Randy Lee Buckner & Jörn Diedrichsen, 2024. "A hierarchical atlas of the human cerebellum for functional precision mapping," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52371-w
    DOI: 10.1038/s41467-024-52371-w
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    References listed on IDEAS

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    1. Tomoya Nakai & Shinji Nishimoto, 2020. "Quantitative models reveal the organization of diverse cognitive functions in the brain," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
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