TY  - JOUR
AU  - Kalc, Polona
AU  - Ter Veer, Mayla
AU  - Dahnke, Robert
AU  - Ziegler, Gabriel
AU  - Kühn, Simone
AU  - Gaser, Christian
TI  - Factors Contributing to Short-Term Structural Variability in a Longitudinal MRI Dataset.
JO  - Human brain mapping
VL  - 47
IS  - 4
SN  - 1065-9471
CY  - New York, NY
PB  - Wiley-Liss
M1  - DZNE-2026-00276
SP  - e70500
PY  - 2026
AB  - 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.
KW  - Humans
KW  - Magnetic Resonance Imaging: methods
KW  - Magnetic Resonance Imaging: standards
KW  - Male
KW  - Longitudinal Studies
KW  - Gray Matter: diagnostic imaging
KW  - Gray Matter: anatomy & histology
KW  - Female
KW  - Adult
KW  - Brain: diagnostic imaging
KW  - Brain: anatomy & histology
KW  - Young Adult
KW  - Image Processing, Computer-Assisted
KW  - Neuroimaging: standards
KW  - longitudinal (Other)
KW  - partial least squares (Other)
KW  - structural MRI (Other)
KW  - within‐subject variance (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:41817026
DO  - DOI:10.1002/hbm.70500
UR  - https://pub.dzne.de/record/285637
ER  -