SLEEP 2011 Abstract Supplement
SLEEP 2011 Abstract Supplement
SLEEP 2011 Abstract Supplement
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A. Basic Science III. Ontogeny/Aging<br />
0072<br />
AGING AFFECTS THE IMPACT OF LIGHT ON NON-VISUAL<br />
COGNITIVE BRAIN FUNCTIONS<br />
Vandewalle G 1,2 , Daneault V 1,2 , Hébert M 3 , Doyon J 1,4 , Dumont M 2 ,<br />
Carrier J 1,2,4<br />
1<br />
Functional Neuroimaging Unit, University of Montréal, Montreal, QC,<br />
Canada, 2 Center for Advanced Research in Sleep Medicine, University<br />
of Montreal, Montreal, QC, Canada, 3 Centre de recherche Université<br />
Laval Robert-Giffard, Laval University, Quebec, QC, Canada, 4 Centre<br />
de recherche en neuropsychologie et en cognition, University of<br />
Montreal, Montreal, QC, Canada<br />
Introduction: Age-related change in non-visual cerebral light sensitivity<br />
may underlie modifications in sleep-wake cycle and circadian<br />
rhythms. Here, we investigated the acute impact of blue light exposure<br />
on non-visual cognitive brain activity as a function of age.<br />
Methods: 16 young (22.8 ± 4 y.o.) and 14 older (60.9 ± 4.5 y.o.) individuals<br />
were alternatively maintained in complete darkness or exposed<br />
to short (45s) monochromatic blue (480nm) illuminations of three irradiance<br />
levels while performing an auditory working memory task in<br />
fMRI. Blue light irradiance levels were 7x10^12, 3x10^13 and 10^14<br />
photons/cm^2/s and pupil constriction was not inhibited. Data acquisition<br />
took place 1h after habitual sleep time. Data were normalized using<br />
state of the art techniques (Dartel in SPM8) to take into account morphological<br />
changes with age.<br />
Results: Performance to the task was equally high in both age groups<br />
(> 87%), was not significantly difference between light conditions, and<br />
showed no significant age x light intensity interaction (p > 0.05), preventing<br />
behavioural bias of fMRI results. fMRI analyses revealed that,<br />
taking into account age-related differences in brain activity independent<br />
of the light condition, increasing irradiance enhanced brain responses to<br />
the task more strongly in younger than older individuals (p corrected <<br />
0.05). These age-related differences in the impact of light irradiance on<br />
brain responses to the task were found in the thalamus, prefrontal cortex,<br />
hippocampus, and cerebellum.<br />
Conclusion: These results show that the stimulating effect of blue light<br />
on non-visual cognitive brain function decreases with age in regions<br />
important for cognition (prefrontal cortex, hippocampus, thalamus) and<br />
alertness regulation (thalamus). Future research will determine if this<br />
decrease reflects age-related changes at the level of the brain, of the eye,<br />
or both.<br />
Support (If Any): IRSC, CRSNG, FRSQ<br />
0073<br />
OBJECTIVE <strong>SLEEP</strong> BY AGE AND SEX IN A LARGE AT-<br />
HOME SAMPLE<br />
Fabregas SE<br />
Sleep Research Center, Zeo, Inc, Newton, MA, USA<br />
Introduction: It may be concluded from previous research that objective<br />
sleep quality depends, in part, on both age and biological sex.<br />
However, there is very little information available about the interacting<br />
effects of age and sex on sleep. This is especially true of objective measures<br />
of sleep taken in home settings.<br />
Methods: The DOZER sleep registry is an IRB approved database of<br />
de-identified, objectively measured sleep (via the Zeo) in the home. Participants<br />
use the instrument and upload data to the registry as they see fit.<br />
Measures include Total Sleep Time (TST), Time in REM (REM), Time<br />
in Light (Light, stages 1 and 2), and Time in Deep (Deep, stages 3 and<br />
4). Age groups were categorized by decade and sleep measures were<br />
averaged for each subject who contributed more than one night of data.<br />
Two-way factorial ANOVAs were run to look for the effects of age and<br />
sex on these measures. An alpha level of 0.001 was set to account for the<br />
large sample size and the number of tests run in the analysis.<br />
Results: 7,473 subjects (ages 17-89, 25% female) contributed 298,500<br />
nights of data for analysis. A significant (p