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@ARTICLE{Magielse:1047331,
      author       = {Magielse, Neville and Manoli, Aikaterina and Eickhoff,
                      Simon B. and Fox, Peter T. and Saberi, Amin and Valk, Sofie
                      L.},
      title        = {{A} bias-accounting meta-analytic approach refines and
                      expands the cerebellar behavioral topography},
      journal      = {Neuroscience $\&$ biobehavioral reviews},
      volume       = {179},
      issn         = {0149-7634},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2025-04240},
      pages        = {106418 -},
      year         = {2025},
      abstract     = {The cerebellum plays important roles in motor, cognitive,
                      and emotional behaviors. Previous cerebellar
                      coordinate-based meta-analyses (CBMAs) have complemented
                      precision-mapping and parcellation approaches by finding
                      generalizable cerebellar activations across the largest
                      possible set of behaviors. However, cerebellar CBMAs face
                      challenges due to inherent methodological limitations,
                      exacerbated by historical cerebellar neglect in neuroimaging
                      studies. Here, we show overrepresentation of superior
                      activations, rendering the null hypothesis of standard
                      activation likelihood estimation (ALE) unsuitable. Our new
                      method, cerebellum-specific ALE (C-SALE), finds behavioral
                      convergence beyond baseline activation rates. It does this
                      by testing experimental activations versus null models
                      sampled from a data-driven probability distribution of
                      finding activations at any cerebellar location.
                      Task-specific mappings in the BrainMap meta-analytic
                      database illustrated improved specificity of the new method.
                      Multiple (sub)domains reached convergence in specific
                      cerebellar subregions, supporting dual motor representations
                      and placing cognition in posterior-lateral regions. We show
                      our method and findings are replicable using the NeuroSynth
                      database. Across both databases, 54/138 task domains or
                      behavioral terms, including sustained attention,
                      somesthesis, inference, anticipation and rhythm, reached
                      convergence in specific cerebellar subgregions. Our
                      meta-analyic maps largely corresponded with cerebellar
                      atlases but also showed many complementary mappings.
                      Repeated subsampling analysis showed that motor behaviors,
                      and to a lesser extent language and working memory, mapped
                      to especially consistent cerebellar subregions. Lastly, we
                      found that cerebellar clusters were parts of brain-wide
                      coactivation networks with cortical and subcortical regions
                      implied in these behaviors. Together, our method further
                      complements and expands understanding of cerebellar
                      involvement in human behavior, highlighting regions for
                      future investigation in both basic and clinical
                      applications.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {41086937},
      UT           = {WOS:001382263100001},
      doi          = {10.1016/j.neubiorev.2025.106418},
      url          = {https://juser.fz-juelich.de/record/1047331},
}