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@ARTICLE{Kalc:285637,
      author       = {Kalc, Polona and Ter Veer, Mayla and Dahnke, Robert and
                      Ziegler, Gabriel and Kühn, Simone and Gaser, Christian},
      title        = {{F}actors {C}ontributing to {S}hort-{T}erm {S}tructural
                      {V}ariability in a {L}ongitudinal {MRI} {D}ataset.},
      journal      = {Human brain mapping},
      volume       = {47},
      number       = {4},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {DZNE-2026-00276},
      pages        = {e70500},
      year         = {2026},
      abstract     = {When planning longitudinal magnetic resonance imaging (MRI)
                      studies, it is advisable to consider various (confounding)
                      factors that could influence brain structural changes over
                      time. The goal of this study was to identify factors that
                      contribute to intraindividual variability of brain structure
                      within a short period of time. We employed multilevel sparse
                      partial least squares regression to investigate the changes
                      in regional gray matter volume in the longitudinal Day2day
                      MRI dataset. The findings suggest that the changes in
                      regional GM volume estimations were primarily driven by
                      image quality, while the outdoor temperature and time since
                      baseline appeared as the main predictors of volumetric
                      changes in insular and diencephalic brain regions. We
                      additionally investigated factors associated with
                      variability in image quality. The findings underscore the
                      importance of maintaining adequate participant arousal
                      during scanning.},
      keywords     = {Humans / Magnetic Resonance Imaging: methods / Magnetic
                      Resonance Imaging: standards / Male / Longitudinal Studies /
                      Gray Matter: diagnostic imaging / Gray Matter: anatomy $\&$
                      histology / Female / Adult / Brain: diagnostic imaging /
                      Brain: anatomy $\&$ histology / Young Adult / Image
                      Processing, Computer-Assisted / Neuroimaging: standards /
                      longitudinal (Other) / partial least squares (Other) /
                      structural MRI (Other) / within‐subject variance (Other)},
      cin          = {AG Düzel},
      ddc          = {610},
      cid          = {I:(DE-2719)5000006},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41817026},
      doi          = {10.1002/hbm.70500},
      url          = {https://pub.dzne.de/record/285637},
}