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@ARTICLE{Ophey:1041316,
      author       = {Ophey, Anja and Vinod, Vaishali and Röttgen, Sinah and
                      Scharfenberg, Daniel and Fink, Gereon Rudolf and Sommerauer,
                      Michael and Kalbe, Elke and Maetzler, Walter and Hansen,
                      Clint},
      title        = {{A}ccelerometry-derived features of physical activity,
                      sleep and circadian rhythm relate to non-motor symptoms in
                      individuals with isolated {REM} sleep behavior disorder},
      journal      = {Journal of neurology},
      volume       = {272},
      number       = {3},
      issn         = {0367-004X},
      address      = {[Darmstadt]},
      publisher    = {Steinkopff},
      reportid     = {FZJ-2025-02215},
      pages        = {201},
      year         = {2025},
      note         = {Funding Open Access funding enabled and organized by
                      Projekt DEAL},
      abstract     = {Accelerometry enables passive, continuous, high-frequency
                      monitoring under free-living conditions. For individuals
                      with isolated REM sleep behavior disorder (iRBD), a
                      potential prodromal phase of Parkinson's disease (PD) and
                      dementia with Lewy bodies, accelerometry has been primarily
                      applied to aid diagnosis and to assess phenoconversion risk.
                      To extend this knowledge, we cross-sectionally combined
                      clinical assessments focusing on non-motor symptoms with
                      accelerometry-derived features of physical activity (PA),
                      sleep, and circadian rhythm of N = 68 individuals with iRBD
                      (age: 69.48 ± 6.01 years, self-reported RBD symptom
                      duration: 9.46 ± 6.21 years, 85 $\%$ male).
                      Accelerometry-assessed PA was associated with more stable
                      circadian rhythms. Additionally, higher PA and more stable
                      circadian rhythms were linked to a lower burden of overall
                      non-motor symptoms, depressive symptoms, and fatigue with
                      small to moderate effect sizes. Furthermore, including
                      accelerometry-derived features improved the prediction of
                      individual clinical scores, particularly for cognitive
                      performance. Our findings contribute to the growing body of
                      evidence highlighting the complex interplay between PA,
                      sleep, circadian rhythm, and non-motor symptoms in
                      α-synucleinopathies. Future research should focus on
                      longitudinal studies to monitor changes in clinical outcomes
                      and digital biomarkers over time to enhance our
                      understanding of symptom progression and corresponding
                      lifestyle changes in prodromal and manifest
                      α-synucleinopathies.Keywords: Actigraphy; Digital
                      biomarkers; Digital health technology; Prodromal
                      Parkinson’s disease; Wearables.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {39934559},
      UT           = {WOS:001419949200007},
      doi          = {10.1007/s00415-025-12931-6},
      url          = {https://juser.fz-juelich.de/record/1041316},
}