Literature DB >> 34741753

Functional Gradients of the Cerebellum: a Review of Practical Applications.

Xavier Guell1,2.   

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.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Cerebellum; Gradients; Resting-state functional connectivity; fMRI

Year:  2021        PMID: 34741753      PMCID: PMC9072599          DOI: 10.1007/s12311-021-01342-8

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.648


  29 in total

Review 1.  Connectopic mapping with resting-state fMRI.

Authors:  Koen V Haak; Andre F Marquand; Christian F Beckmann
Journal:  Neuroimage       Date:  2017-06-27       Impact factor: 6.556

2.  Atypical functional connectome hierarchy in autism.

Authors:  Seok-Jun Hong; Reinder Vos de Wael; Richard A I Bethlehem; Sara Lariviere; Casey Paquola; Sofie L Valk; Michael P Milham; Adriana Di Martino; Daniel S Margulies; Jonathan Smallwood; Boris C Bernhardt
Journal:  Nat Commun       Date:  2019-03-04       Impact factor: 14.919

3.  BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Authors:  Reinder Vos de Wael; Oualid Benkarim; Jonathan Smallwood; Boris C Bernhardt; Casey Paquola; Sara Lariviere; Jessica Royer; Shahin Tavakol; Ting Xu; Seok-Jun Hong; Georg Langs; Sofie Valk; Bratislav Misic; Michael Milham; Daniel Margulies
Journal:  Commun Biol       Date:  2020-03-05

4.  Cerebellar contributions to rapid semantic processing in reading.

Authors:  Anila M D'Mello; Tracy M Centanni; John D E Gabrieli; Joanna A Christodoulou
Journal:  Brain Lang       Date:  2020-07-17       Impact factor: 2.381

5.  Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion.

Authors:  Georg Langs; Polina Golland; Satrajit S Ghosh
Journal:  Med Image Comput Comput Assist Interv       Date:  2015-11-20

6.  Metalinguistic deficits in patients with cerebellar dysfunction: empirical support for the dysmetria of thought theory.

Authors:  Xavier Guell; Franziska Hoche; Jeremy D Schmahmann
Journal:  Cerebellum       Date:  2015-02       Impact factor: 3.847

Review 7.  The WU-Minn Human Connectome Project: an overview.

Authors:  David C Van Essen; Stephen M Smith; Deanna M Barch; Timothy E J Behrens; Essa Yacoub; Kamil Ugurbil
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

8.  A graded tractographic parcellation of the temporal lobe.

Authors:  Claude J Bajada; Rebecca L Jackson; Hamied A Haroon; Hojjatollah Azadbakht; Geoff J M Parker; Matthew A Lambon Ralph; Lauren L Cloutman
Journal:  Neuroimage       Date:  2017-04-12       Impact factor: 6.556

9.  Surface-Based Display of Volume-Averaged Cerebellar Imaging Data.

Authors:  Jörn Diedrichsen; Ewa Zotow
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

10.  Functional gradients of the cerebellum.

Authors:  Xavier Guell; Jeremy D Schmahmann; John DE Gabrieli; Satrajit S Ghosh
Journal:  Elife       Date:  2018-08-14       Impact factor: 8.140

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