Abstract
Gradient-based analyses have contributed to the description of cerebellar functional neuroanatomy. More recently, functional gradients of the cerebellum have been used as a multi-purpose tool for neuroimaging research. Here, we provide an overview of the many practical applications of cerebellar functional gradient analyses. These practical applications include examination of intra-cerebellar and cerebellar-extracerebellar organization; transformation of functional gradients into parcellations with discrete borders; projection of functional gradients calculated within cerebellar structures to other extracerebellar structures; interpretation of cerebellar neuroimaging findings using qualitative and quantitative methods; detection of differences in patient populations; and other more complex practical applications of cerebellar gradient-based analyses. This review may serve as an introduction and catalog of options for neuroscientists who wish to design and analyze imaging studies using functional gradients of the cerebellum.
Similar content being viewed by others
References
Guell X, Schmahmann J, Gabrieli J, Ghosh S. Functional gradients of the cerebellum. Elife. 2018;7:e36652.
Coifman RR, Lafon S, Lee AB, Maggioni M, Nadler B, Warner F, et al. Geometric diffusions as a tool for harmonic analysis and structure definition of data: multiscale methods. Proc Natl Acad Sci. 2005;102(21):7432–7.
Langs G, Golland P, Ghosh SS. Predicting activation across individuals with resting-state functional connectivity based multi-atlas label fusion. Med Image Comput Comput Assist Interv. 2015;9350:313–320.
Margulies DS, Ghosh SS, Goulas A, Falkiewicz M, Huntenburg JM, Langs G, et al. Situating the default-mode network along a principal gradient of macroscale cortical organization. Proc Natl Acad Sci. 2016;113(44):12574–9.
Van Essen DC, Smith SM, Barch DM, Behrens TEJ, Yacoub E, Ugurbil K. The WU-Minn human connectome project: an overview. Neuroimage. 2013;80:62–79.
Diedrichsen J, Zotow E. Surface-based display of volume-averaged cerebellar imaging data. PLoS One. 2015;10(7):e0133402. https://doi.org/10.1371/journal.pone.0133402.
Guell X, DE Gabrieli J, Schmahmann JD. Triple representation of language, working memory, social and emotion processing in the cerebellum: convergent evidence from task and seed-based resting-state fMRI analyses in a single large cohort. Neuroimage. 2018;172:437–49.
Buckner R, Krienen F, Castellanos A, Diaz JC, Yeo BT. The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106:2322–45.
Guell X, D’Mello AM, Hubbard NA, Romeo RR, Gabrieli JDE, Whitfield-Gabrieli S, et al. Functional territories of human dentate nucleus. Cereb Cortex. 2020;30(4):2401–2417.
Bukhari Q, Ruf SF, Guell X, Whitfield-Gabrieli S, Anteraper S. Interaction between cerebellum and cerebral cortex, evidence from dynamic causal modeling. Cerebellum. 2021. https://doi.org/10.1007/s12311-021-01284-1.
Guell X, Goncalves M, Kaczmarzyk J, Gabrieli J, Schmahmann J, Ghosh S. LittleBrain: a gradient-based tool for the topographical interpretation of cerebellar neuroimaging findings. PLoS One. 2019;14(1):e0210028.
Gellersen HM, Guell X, Sami S. Differential vulnerability of the cerebellum in healthy ageing and Alzheimer’s disease. NeuroImage Clin. 2021;30:102605.
Guell X, Anteraper SA, Gardner AJ, Whitfield-Gabrieli S, Kay-Lambkin Fs, Iverson GL, et al. Functional connectivity changes in retired rugby league players: a data-driven functional magnetic resonance imaging study. J Neurotrauma. 2020;37(16):1788–96. https://doi.org/10.1089/neu.2019.6782.
Guell X, Anteraper SA, Ghosh SS, Gabrieli JDE, Schmahmann JD. Neurodevelopmental and psychiatric symptoms in patients with a cyst compressing the cerebellum: an ongoing enigma. Cerebellum. 2020;19(1):16–29. https://doi.org/10.1007/s12311-019-01050-4.
D’Mello AM, Centanni TM, Gabrieli JDE, Christodoulou JA. Cerebellar contributions to rapid semantic processing in reading. Brain Lang. 2020;208:104828. https://doi.org/10.1016/j.bandl.2020.104828.
Dong D, Luo C, Guell X, Wang Y, He H, Duan M, et al. Compression of cerebellar functional gradients in schizophrenia. Schizophr Bull. 2020;46(5):1282–95. https://doi.org/10.1093/schbul/sbaa016.
Hong SJ, de Wael RV, Bethlehem RAI, Lariviere S, Paquola C, Valk SL, et al. Atypical functional connectome hierarchy in autism. Nat Commun. 2019;10:1022.
Dong D, Yao D, Wang Y, Hong SJ, Genon S, Xin F, et al. Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia. Psychol Med. 2021;8:1–14.
Benkarim O, Paquola C, Park B, Hong S-J, Royer J, Vos de Wael R, et al. Connectivity alterations in autism reflect functional idiosyncrasy. Commun Biol. 2021;4:1078.
Guell X, Schmahmann JD, Gabrieli JDE. Functional Specialization is Independent of Microstructural Variation in Cerebellum but Not in Cerebral Cortex. bioRxiv. 2018. Available from: https://doi.org/10.1101/424176
Schmahmann J, Guell X, Stoodley C, Halko M. The theory and neuroscience of cerebellar cognition. Annu Rev Neurosci. 2019;42:337–64.
Guell X, Gabrieli JDE, Schmahmann JD. Embodied cognition and the cerebellum: perspectives from the dysmetria of thought and the universal cerebellar transform theories. Cortex. 2018;100:140–8.
Guell X, Hoche F, Schmahmann JD. Metalinguistic deficits in patients with cerebellar dysfunction: empirical support for the dysmetria of thought theory. Cerebellum. 2015;14(1):50–8.
Schmahmann JD. An emerging concept: the cerebellar contribution to higher function. Arch Neurol. 1991;48(11):1178. https://doi.org/10.1001/archneur.1991.00530230086029.
Guell X, Schmahmann JD, Gabrieli JDE, Ghosh SS, Geddes MR. Asymmetric functional gradients in the human subcortex. bioRxiv. 2020. Available from: https://doi.org/10.1101/2020.09.04.283820
Marquand AF, Haak KV, Beckmann CF. Functional corticostriatal connection topographies predict goal-directed behaviour in humans. Nat Hum Behav. 2017;1:0146.
Haak KV, Marquand AF, Beckmann CF. Connectopic mapping with resting-state fMRI. Neuroimage. 2018;170:83–94.
Bajada CJ, Jackson RL, Haroon HA, Azadbakht H, Parker GJM, Lambon Ralph MA, et al. A graded tractographic parcellation of the temporal lobe. Neuroimage. 2017;155:503–12.
Cerliani L, Thomas RM, Jbabdi S, Siero JCW, Nanetti L, Crippa A, et al. Probabilistic tractography recovers a rostrocaudal trajectory of connectivity variability in the human insular cortex. Hum Brain Mapp. 2012;33(9):2005–34.
Logothetis NK, Wandell BA. Interpreting the BOLD signal. Ann Rev Physiol. 2004;66(1):735–69. https://doi.org/10.1146/annurev.physiol.66.082602.092845.
Vos de Wael R, Benkarim O, Paquola C, Lariviere S, Royer J, Tavakol S, et al. BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Commun Biol. 2020;3:103.
Acknowledgements
The author expresses his deep gratitude to Jeremy Schmahmann, MD, John Gabrieli, PhD, and Satrajit Ghosh, PhD for their mentorship and support that were essential for the development of many of the concepts presented here. The author also gratefully acknowledges the thoughtful critique of this manuscript offered by Jeremy Schmahmann, MD. Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 National Institutes of Health and Centers that support the Nation Institutes of Health Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. This work was supported in part by La Caixa Foundation (XG) and by the Massachusetts General Hospital Fund for Medical Discovery Award (XG).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declares no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Guell, X. Functional Gradients of the Cerebellum: a Review of Practical Applications. Cerebellum 21, 1061–1072 (2022). https://doi.org/10.1007/s12311-021-01342-8
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12311-021-01342-8