Predicting Cognitive Resilience Against Sleep Loss
Resilience is the ability to cope effectively and adapt to a wide range of stressful environmental challenges. Sleep loss has been shown to reduce activity in the brain regions responsible for resilience. The ability to resist the effects of sleep loss appears to be a stable, trait-like quality. This study will attempt to predict individuals' trait-resistance to sleep loss based on their neurobiology.
|Study Design:||Intervention Model: Single Group Assignment
Masking: Open Label
Primary Purpose: Screening
|Official Title:||Multimodal Neuroimaging to Predict Cognitive Resilience Against Sleep Loss|
- Differences in the medial prefrontal cortex (MPFC) as measured by fMRI, DTI, and MRS [ Time Frame: Session 2 of study (1 week after enrollment) ] [ Designated as safety issue: No ]It is hypothesized that, relative to vulnerable individuals, those who are highly resistant to the adverse effects of sleep loss on cognition will show: 1) increased gray matter volume in the MPFC, 2) greater white matter integrity as indicated by the Diffusion Tensor Imaging measure of fractional anisotropy (FA) values in the MPFC, 3) greater functional activation in MPFC during cognitively demanding tasks, 4) greater functional connectivity between MPFC and alerting regions of the midbrain and thalamus; and 5) different ratios of GABA and glutamate within the MPFC.
- Psychomotor Vigilance Task (PVT) [ Time Frame: At sleep deprivation session (2 weeks after enrollment) ] [ Designated as safety issue: No ]The PVT will be administered 17 throughout the overnight sleep deprivation session. PVT performance measures participants' alertness and objective resilience to sleep deprivation. PVT performance will be used as a measure to retrospectively assign participants into sleep loss-resistant and sleep loss-vulnerable groups.
- Karolinska Sleepiness Scale (KSS) [ Time Frame: At sleep deprivation session (2 weeks after enrollment) ] [ Designated as safety issue: No ]The KSS will be administered 17 throughout the overnight sleep deprivation session. The KSS provides a measure of subjective sleepiness.
|Study Start Date:||April 2013|
|Estimated Study Completion Date:||October 2014|
|Estimated Primary Completion Date:||October 2014 (Final data collection date for primary outcome measure)|
Experimental: Sleep deprivation
Participants will undergo 29 hours of sleep deprivation, 17 of which will be spent in the laboratory.
Behavioral: Sleep deprivation
Participants will undergo 29 hours of sleep deprivation. They will wake up at 7:00 am on the day of the study and remain awake in the laboratory until 12:00 pm the next day.
Resilience, the ability to cope effectively and adapt to a wide range of stressful environmental challenges, appears to be mediated extensively by the medial prefrontal cortex (MPFC). Sleep deprivation has been shown to reduce metabolic activity throughout the brain, particularly the MPFC. The ability to resist the effects of sleep loss appears to be a stable, trait-like phenomenon that is consistent across situations, suggesting that it may reflect an enduring quality of the underlying neurobiological system. The present study aims to identify the neural basis of resilience and effectively discriminate resistant from vulnerable individuals during an overnight sleep deprivation session. Specifically, the primary aims of this research are 1) to further our understanding of the role of the MPFC in resilience and 2) to develop a statistical prediction algorithm based on multimodal neuroimaging that will reliably discriminate between individuals who are resilient versus vulnerable to the cognitive impairing effects of sleep loss.
|Contact: Hannah Gogelemail@example.com|
|Contact: William Killgore, PhDfirstname.lastname@example.org|
|United States, Massachusetts|
|Belmont, Massachusetts, United States, 02478|
|Contact: William D Killgore, PhD 617-855-3166 email@example.com|
|Contact: Hannah Gogel 617-855-2238 firstname.lastname@example.org|
|Principal Investigator:||William D Killgore, PhD||Mclean Hospital|