Combined Total Sleep Deprivation and Light Therapy in the Treatment of Drug-Resistant Bipolar Depression: Acute Response and Long-Term Remission Rates

2007 ◽  
Vol 2007 ◽  
pp. 210-211
Author(s):  
J.C. Ballenger
2005 ◽  
Vol 66 (12) ◽  
pp. 1535-1540 ◽  
Author(s):  
Francesco Benedetti ◽  
Barbara Barbini ◽  
Mara Cigala Fulgosi ◽  
Cristina Colombo ◽  
Sara Dallaspezia ◽  
...  

2000 ◽  
Vol 95 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Cristina Colombo ◽  
Adelio Lucca ◽  
Francesco Benedetti ◽  
Barbara Barbini ◽  
Euridice Campori ◽  
...  

2013 ◽  
Vol 144 (1-2) ◽  
pp. 28-33 ◽  
Author(s):  
Masaru Echizenya ◽  
Hideka Suda ◽  
Masahiro Takeshima ◽  
Yoshiyuki Inomata ◽  
Tetsuo Shimizu

2013 ◽  
Vol 75 (02) ◽  
pp. 133-140 ◽  
Author(s):  
Francesco Benedetti ◽  
Roberta Riccaboni ◽  
Clara Locatelli ◽  
Sara Poletti ◽  
Sara Dallaspezia ◽  
...  

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A56-A56
Author(s):  
Mark McCauley ◽  
Peter McCauley ◽  
Hans Van Dongen

Abstract Introduction In commercial aviation and other operational settings where biomathematical models of fatigue are used for fatigue risk management, accurate prediction of recovery during rest periods following duty periods with sleep loss and/or circadian misalignment is critical. The recuperative potential of recovery sleep is influenced by a variety of factors, including long-term, allostatic effects of prior sleep/wake history. For example, recovery tends to be slower after sustained sleep restriction versus acute total sleep deprivation. Capturing such dynamics has proven to be challenging. Methods Here we focus on the dynamic biomathematical model of McCauley et al. (2013). In addition to a circadian process, this model features differential equations for sleep/wake regulation including a short-term sleep homeostatic process capturing change in the order of hours/days and a long-term allostatic process capturing change in the order of days/weeks. The allostatic process modulates the dynamics of the homeostatic process by shifting its equilibrium setpoint, which addresses recently observed phenomena such as reduced vulnerability to sleep loss after banking sleep. It also differentiates the build-up and recovery rates of fatigue under conditions of chronic sleep restriction versus acute total sleep deprivation; nonetheless, it does not accurately predict the disproportionately rapid recovery seen after total sleep deprivation. To improve the model, we hypothesized that the homeostatic process may also modulate the allostatic process, with the magnitude of this effect scaling as a function of time awake. Results To test our hypothesis, we added a parameter to the model to capture modulation by the homeostatic process of the allostatic process build-up during wakefulness and dissipation during sleep. Parameter estimation using previously published laboratory datasets of fatigue showed this parameter as significantly different from zero (p<0.05) and yielding a 10%–20% improvement in goodness-of-fit for recovery without adversely affecting goodness-of-fit for pre-recovery days. Conclusion Inclusion of a modulation effect of the allostatic process by the homeostatic process improved prediction accuracy in a variety of sleep loss and circadian misalignment scenarios. In addition to operational relevance for duty/rest scheduling, this finding has implications for understanding mechanisms underlying the homeostatic and allostatic processes of sleep/wake regulation. Support (if any) Federal Express Corporation


2008 ◽  
Vol 32 (8) ◽  
pp. 1863-1866 ◽  
Author(s):  
Francesco Benedetti ◽  
Barbara Barbini ◽  
Alessandro Bernasconi ◽  
Mara Cigala Fulgosi ◽  
Cristina Colombo ◽  
...  

2018 ◽  
Vol 229 ◽  
pp. 371-376 ◽  
Author(s):  
Masahiro Suzuki ◽  
Sara Dallaspezia ◽  
Clara Locatelli ◽  
Makoto Uchiyama ◽  
Cristina Colombo ◽  
...  

2009 ◽  
Vol 173 (3) ◽  
pp. 238-242 ◽  
Author(s):  
Francesco Benedetti ◽  
Giovanna Calabrese ◽  
Alessandro Bernasconi ◽  
Marcello Cadioli ◽  
Cristina Colombo ◽  
...  

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