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@ARTICLE{KblerWeller:280910,
      author       = {Kübler-Weller, Dorothee and Stuke, Heiner and Astalosch,
                      Melanie and Martins Ribeiro, Luísa and Landfried, Elias and
                      Schneider, Gerd-Helge and Faust, Katharina and Krause,
                      Patricia and Roediger, Jan and Haufe, Stefan and Mousavi,
                      Mahta and Al-Fatly, Bassam and Spies, Claudia and Borchers,
                      Friedrich and Kühn, Andrea A},
      title        = {{P}redicting cognition after subthalamic {D}eep {B}rain
                      {S}timulation in {P}arkinson's {D}isease.},
      journal      = {npj Parkinson's Disease},
      volume       = {11},
      number       = {1},
      issn         = {2373-8057},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {DZNE-2025-00993},
      pages        = {265},
      year         = {2025},
      abstract     = {Cognitive deficits have a high impact on quality of life in
                      Parkinson's disease (PD). This study takes into account the
                      multifaceted etiology of cognition to estimate the cognitive
                      outcome after deep brain stimulation (DBS) surgery in PD.
                      Clinical, neuropsychological, perioperative, neuroimaging-
                      and laboratory-based risk factors for cognitive dysfunction
                      were prospectively assessed prior to surgery in 57 patients
                      (21 female; age 60.2 ± 8.2; disease duration 10.5 ± 5.9
                      years, preregistered 9 June 2019 at clinicaltrials.gov,
                      NCT03982953). Elastic net regularized regression and
                      leave-one-out cross-validation were used to fit a
                      multivariable model with the Montréal Cognitive Assessment
                      (MoCA) change one year after surgery as primary outcome. The
                      backward span had the most robust association with the
                      cognitive outcome (rho = 0.499, p < 0.001**; c = 0.302). We
                      propose a post-hoc prediction model for cognition based on
                      the baseline MoCA and backward span (R² = 0.50). After
                      clinical validation, our short and easily applicable
                      prediction model could improve informed therapeutic decision
                      making.},
      cin          = {AG Kühn},
      ddc          = {610},
      cid          = {I:(DE-2719)5000008},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40877314},
      doi          = {10.1038/s41531-025-01128-3},
      url          = {https://pub.dzne.de/record/280910},
}