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@ARTICLE{Dong:909535,
      author       = {Dong, Debo and Guell, Xavier and GENON, Sarah and Wang,
                      Yulin and Chen, Ji and Eickhoff, Simon B. and Yao, Dezhong
                      and Luo, Cheng},
      title        = {{L}inking cerebellar functional gradients to
                      transdiagnostic behavioral dimensions of psychopathology},
      journal      = {NeuroImage: Clinical},
      volume       = {36},
      issn         = {2213-1582},
      address      = {[Amsterdam u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2022-03224},
      pages        = {103176 -},
      year         = {2022},
      abstract     = {High co-morbidity and substantial overlap across
                      psychiatric disorders encourage a transition in psychiatry
                      research from categorical to dimensional approaches that
                      integrate neuroscience and psychopathology. Converging
                      evidence suggests that the cerebellum is involved in a wide
                      range of cognitive functions and mental disorders. An
                      important question thus centers on the extent to which
                      cerebellar function can be linked to transdiagnostic
                      dimensions of psychopathology. To address this question, we
                      used a multivariate data-driven statistical technique
                      (partial least squares) to identify latent dimensions
                      linking human cerebellar connectome as assessed by
                      functional MRI to a large set of clinical, cognitive, and
                      trait measures across 198 participants, including healthy
                      controls (n = 92) as well as patients diagnosed with
                      attention-deficit/hyperactivity disorder (n = 35), bipolar
                      disorder (n = 36), and schizophrenia (n = 35). Macroscale
                      spatial gradients of connectivity at voxel level were used
                      to characterize cerebellar connectome properties, which
                      provide a low-dimensional representation of cerebellar
                      connectivity, i.e., a sensorimotor-supramodal hierarchical
                      organization. This multivariate analysis revealed
                      significant correlated patterns of cerebellar connectivity
                      gradients and behavioral measures that could be represented
                      into four latent dimensions: general psychopathology,
                      impulsivity and mood, internalizing symptoms and executive
                      dysfunction. Each dimension was associated with a unique
                      spatial pattern of cerebellar connectivity gradients across
                      all participants. Multiple control analyses and 10-fold
                      cross-validation confirmed the robustness and
                      generalizability of the yielded four dimensions. These
                      findings highlight the relevance of cerebellar connectivity
                      as a necessity for the study and classification of
                      transdiagnostic dimensions of psychopathology and call on
                      researcher to pay more attention to the role of cerebellum
                      in the dimensions of psychopathology, not just within the
                      cerebral cortex.},
      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       = {36063759},
      UT           = {WOS:000863158500011},
      doi          = {10.1016/j.nicl.2022.103176},
      url          = {https://juser.fz-juelich.de/record/909535},
}