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@ARTICLE{Kppers:283185,
      author       = {Küppers, Vincent and Bi, Hanwen and Nicolaisen-Sobesky,
                      Eliana and Hoffstaedter, Felix and Yeo, B T Thomas and
                      Drzezga, Alexander and Eickhoff, Simon B and Tahmasian,
                      Masoud},
      title        = {{M}ultivariate associations of motor performance, sleep
                      quality, depressive symptoms, and grey matter volume in
                      younger and mid-to-older adults.},
      journal      = {Scientific reports},
      volume       = {16},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {DZNE-2026-00064},
      pages        = {1318},
      year         = {2026},
      abstract     = {Motor performance (MP) is essential for maintaining
                      functional independence, particularly in later life.
                      However, the relationship between MP and sleep quality,
                      depressive symptoms, and their underlying brain substrates
                      remains obscure. We employed four samples of
                      younger/mid-to-older adults (n = 1,954) from the Human
                      Connectome Project-Young Adult (HCP-YA), HCP-Aging (HCP-A),
                      and enhanced Nathan Kline Institute-Rockland sample
                      (eNKI-RS) to assess the replicability of our findings. Using
                      canonical correlation analyses within a machine learning
                      framework, we investigated the associations of sleep
                      quality, depressive symptoms, and grey matter volume (GMV)
                      with MP. In the combined model of the HCP-YA sample, a
                      canonical variate of better sleep, mild, sub-clinical
                      depressive symptoms, and altered GMV of several cortical
                      (including precentral and fusiform gyrus), thalamus, and
                      cerebellar brain regions was associated with a canonical
                      variate of better MP (r = 0.2, SD = 0.05). This pattern was
                      conceptually replicated in the young eNKI-RS sample (r =
                      0.25, SD = 0.13). In the HCP-A sample, a variate of better
                      sleep quality, fewer depressive symptoms, and increased GMV
                      was associated with a variate of MP (r = 0.18, SD = 0.1),
                      but these findings did not replicate in the mid-to-older
                      eNKI-RS sample (r = 0, SD = 0.12). Across all samples,
                      variates of increased GMV were associated with variates of
                      better MP, suggesting potential neuroanatomical
                      underpinnings. We observed age-related variations in the
                      multivariate associations between sleep quality, depressive
                      symptoms, and GMV with MP.},
      keywords     = {Humans / Gray Matter: diagnostic imaging / Gray Matter:
                      pathology / Male / Female / Depression: physiopathology /
                      Adult / Middle Aged / Sleep Quality / Aged / Young Adult /
                      Magnetic Resonance Imaging / Aging: physiology / Connectome
                      / Brain / Brain structure (Other) / Canonical correlation
                      analysis (Other) / Depressive symptoms (Other) / Mental
                      health (Other) / Motor behavior (Other) / Sleep quality
                      (Other)},
      cin          = {AG Boecker},
      ddc          = {600},
      cid          = {I:(DE-2719)1011202},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41519920},
      doi          = {10.1038/s41598-025-34951-y},
      url          = {https://pub.dzne.de/record/283185},
}