% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Lehto:279431,
      author       = {Lehto, Annaliis and Schumacher, Julia and Teipel, Stefan
                      and Machts, Judith and Vielhaber, Stefan and Hermann,
                      Andreas and Prudlo, Johannes and Kasper, Elisabeth},
      title        = {{C}erebellar grey matter volume is associated with semantic
                      fluency performance in amyotrophic lateral sclerosis
                      patients},
      journal      = {Brain communications},
      volume       = {7},
      number       = {3},
      issn         = {2632-1297},
      address      = {[Oxford]},
      publisher    = {Oxford University Press},
      reportid     = {DZNE-2025-00762},
      pages        = {fcaf230},
      year         = {2025},
      abstract     = {The cerebellum has been shown to contribute to different
                      cognitive functions such as verbal fluency and different
                      aspects of executive functioning, which are also commonly
                      impaired in amyotrophic lateral sclerosis (ALS) patients.
                      Whereas cerebellar involvement has been indicated in ALS
                      patients in general, its relative contribution to the
                      patients' specific cognitive deficits remains unclear. In
                      the current analyses, the demographic, clinical,
                      neuropsychological and imaging data of 120 ALS patients and
                      88 healthy controls were analysed. Grey matter volume (GMV)
                      and white matter (WM) fractional anisotropy were extracted
                      for a comprehensive list of cerebral and cerebellar regions
                      and bootstrapped elastic net regularized regression analyses
                      were employed to identify regional structural metrics that
                      were related to various cognitive scores. We further
                      examined the stability of predictor variables selection and
                      the regression coefficient distributions across the
                      bootstrap samples. Both regional GMV and WM integrity are
                      featured as informative predictors for patients' cognitive
                      scores. The GMV of cerebellar lobules V and VIIIa were
                      related to semantic fluency, but cerebellar regions did not
                      reliably contribute to other cognitive outcomes. The GMV of
                      pallidum was positively correlated with fluency outcomes and
                      working memory, whereas hippocampus volume was positively
                      related to fluency and episodic memory outcomes.
                      Unsurprisingly, educational achievement emerged as the most
                      general and reliable predictor of cognitive performance.
                      Based on the current findings, cerebellar GMV seems to be
                      specifically associated with semantic fluency performance in
                      ALS patients but not any of the other cognitive measures.
                      Further cognitive functions were associated with both
                      cerebral grey matter (GM) and WM metrics. Future
                      investigations could examine the possible involvement of the
                      cerebellum in the affective and social-emotional dysfunction
                      present in a subset of ALS patients.},
      keywords     = {amyotrophic lateral sclerosis (Other) / cerebellum (Other)
                      / cognition (Other) / diffusion tensor imaging (Other) /
                      grey matter volume (Other)},
      cin          = {AG Teipel / AG Storch / AG Hermann},
      ddc          = {610},
      cid          = {I:(DE-2719)1510100 / I:(DE-2719)5000014 /
                      I:(DE-2719)1511100},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40574975},
      doi          = {10.1093/braincomms/fcaf230},
      url          = {https://pub.dzne.de/record/279431},
}