TY - JOUR
T1 - Modeling the adenosine system as a modulator of cognitive performance and sleep patterns during sleep restriction and recovery
AU - Phillips, Andrew J. K.
AU - Klerman, Elizabeth B.
AU - Butler, James P.
PY - 2017/10/26
Y1 - 2017/10/26
N2 - Sleep loss causes profound cognitive impairments and increases the concentrations of adenosine and adenosine A1receptors in specific regions of the brain. Time courses for performance impairment and recovery differ between acute and chronic sleep loss, but the physiological basis for these time courses is unknown. Adenosine has been implicated in pathways that generate sleepiness and cognitive impairments, but existing mathematical models of sleep and cognitive performance do not explicitly include adenosine. Here, we developed a novel receptor-ligand model of the adenosine system to test the hypothesis that changes in both adenosine and A1receptor concentrations can capture changes in cognitive performance during acute sleep deprivation (one prolonged wake episode), chronic sleep restriction (multiple nights with insufficient sleep), and subsequent recovery. Parameter values were estimated using biochemical data and reaction time performance on the psychomotor vigilance test (PVT). The model closely fit group-average PVT data during acute sleep deprivation, chronic sleep restriction, and recovery. We tested the model’s ability to reproduce timing and duration of sleep in a separate experiment where individuals were permitted to sleep for up to 14 hours per day for 28 days. The model accurately reproduced these data, and also correctly predicted the possible emergence of a split sleep pattern (two distinct sleep episodes) under these experimental conditions. Our findings provide a physiologically plausible explanation for observed changes in cognitive performance and sleep during sleep loss and recovery, as well as a new approach for predicting sleep and cognitive performance under planned schedules.
AB - Sleep loss causes profound cognitive impairments and increases the concentrations of adenosine and adenosine A1receptors in specific regions of the brain. Time courses for performance impairment and recovery differ between acute and chronic sleep loss, but the physiological basis for these time courses is unknown. Adenosine has been implicated in pathways that generate sleepiness and cognitive impairments, but existing mathematical models of sleep and cognitive performance do not explicitly include adenosine. Here, we developed a novel receptor-ligand model of the adenosine system to test the hypothesis that changes in both adenosine and A1receptor concentrations can capture changes in cognitive performance during acute sleep deprivation (one prolonged wake episode), chronic sleep restriction (multiple nights with insufficient sleep), and subsequent recovery. Parameter values were estimated using biochemical data and reaction time performance on the psychomotor vigilance test (PVT). The model closely fit group-average PVT data during acute sleep deprivation, chronic sleep restriction, and recovery. We tested the model’s ability to reproduce timing and duration of sleep in a separate experiment where individuals were permitted to sleep for up to 14 hours per day for 28 days. The model accurately reproduced these data, and also correctly predicted the possible emergence of a split sleep pattern (two distinct sleep episodes) under these experimental conditions. Our findings provide a physiologically plausible explanation for observed changes in cognitive performance and sleep during sleep loss and recovery, as well as a new approach for predicting sleep and cognitive performance under planned schedules.
KW - sleep
KW - adenosine
KW - sleep deprivation
KW - cognitive impairment
KW - homeostatic mechanisms
KW - receptor physiology
KW - homeostasis
KW - mathematical models
UR - http://www.scopus.com/inward/record.url?scp=85032724428&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1005759
DO - 10.1371/journal.pcbi.1005759
M3 - Article
C2 - 29073206
AN - SCOPUS:85032724428
SN - 1553-734X
VL - 13
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 10
M1 - e1005759
ER -