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@ARTICLE{Etteldorf:280114,
author = {Etteldorf, Rika and Coors, Annabell and Estrada, Santiago
and Breteler, Monique M B and Ettinger, Ulrich},
title = {{R}egional {B}rain {V}olume and {C}ortical {T}hickness
{M}ediate {A}ge-{R}elated {D}ifferences in {E}ye {M}ovement
{C}ontrol.},
journal = {The journals of gerontology / Series B},
volume = {80},
number = {7},
issn = {1079-5014},
address = {Oxford [u.a.]},
publisher = {Oxford Univ. Press},
reportid = {DZNE-2025-00897},
pages = {gbaf098},
year = {2025},
abstract = {Eye movements (EMs) are considered biomarkers for
age-related neurological or psychological deficits, and
oculomotor control has been shown to strongly decline with
age. This study aimed to understand the neural pathways of
these age-related changes.The analysis was based on 5,400
participants (aged 30-95 years) from the population-based
Rhineland Study. EMs were recorded using video-based
infrared oculography at 1,000 Hz. Brain structure measures
were obtained from T1-weighted MR images using FreeSurfer.
Relations of brain structure with EM outcomes were
quantified using multivariable linear regression models
while adjusting for age, sex, educational level, and
best-corrected visual acuity. Brain structure measures were
further analyzed as potential mediators in the relation
between age and EM outcomes.Larger volumes of the globus
pallidus and thalamus were associated with shorter saccadic
latencies. Thicker cortex in frontal and parietal brain
regions was associated with fewer direction errors in the
antisaccade task in female but not in male participants.
Thicker cortex in the calcarine sulcus was associated with
better smooth pursuit performance. Cerebellar gray and white
matter volumes were associated with better performance on
the antisaccade and smooth pursuit tasks. Mediation analyses
suggested that age-related differences in brain structures
explain up to $18\%$ of age-related differences in
oculomotor performance.Our findings extend previous studies
by identifying novel brain structural correlates of EM
performance and quantifying the extent to which they explain
age-related differences in EM performance. Our results show
that differences in brain structure partly account for
age-related differences in EM performance.},
keywords = {Humans / Male / Female / Aged / Middle Aged / Aged, 80 and
over / Adult / Aging: physiology / Aging: pathology /
Magnetic Resonance Imaging / Eye Movements: physiology /
Cerebral Cortex: diagnostic imaging / Cerebral Cortex:
anatomy $\&$ histology / Saccades: physiology / Brain /
Brain Cortical Thickness / Globus Pallidus: diagnostic
imaging / Thalamus: diagnostic imaging / Biomarkers (Other)
/ Cognition (Other) / Epidemiology (Other) / Mediation
analysis (Other) / Neuroimaging (Other)},
cin = {AG Breteler / AG Reuter},
ddc = {570},
cid = {I:(DE-2719)1012001 / I:(DE-2719)1040310},
pnm = {354 - Disease Prevention and Healthy Aging (POF4-354)},
pid = {G:(DE-HGF)POF4-354},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40498586},
doi = {10.1093/geronb/gbaf098},
url = {https://pub.dzne.de/record/280114},
}