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Examining the impact of sleep restriction on reward learning

Examining the impact of sleep restriction on reward learning in healthy adults

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12623000181606
Acronym
Digital Rapid Eye Movement Sleep Study (DREM Sleep Study)
Enrollment
69
Registered
2023-02-21
Start date
2022-07-20
Completion date
2023-12-04
Last updated
2024-08-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

A disruption in reward processing is suggested to underpin a number of mental health disorders. Current evidence indicates alterations in brain regions during the anticipation and receipt of reward characterise individuals with eating-related disorders (e.g., obesity, binge-eating), non-substance addictions and substance use disorders. These alterations may facilitate compulsive behaviours and potentiate craving. Current evidence suggests reward processing is also impaired in conditions of sleep disruption, with a number of studies indicating impaired ability to discriminate between reward and punishment and increased reward-driven approach behaviour following sleep deprivation. Given an increasing number of individuals in today’s society function without adequate sleep this may indicate a role for sleep disruption in the development and maintenance of disorders characterised by disrupted reward-processing. This study aims to assess the mechanisms through which reward learning and appetitive behaviour could be impacting on clinical populations via sleep. We hypothesise adults who undergo sleep restriction (prescribed a 5 hour sleep opportunity), relative to well rested adults (prescribed an 9 hour sleep opportunity), will have disrupted reward learning. Furthermore, we hypothesise key sleep stages, particularly REM sleep parameters (e.g., percentage, duration, onset latency, etc.), will mediate the relationship between sleep restriction and poor reward learning.

Interventions

Participants will be randomised to either sleep restriction or well-rested conditions, for 8 nights of at-home sleep monitoring. Participants in the sleep restriction condition will be expected to keep a regular sleep schedule involving 5hrs/night total time in bed, prescribed by the research team. Participants will be asked to ensure they adhere to the bed and wake times prescribed, and researchers will monitor their adherence each day via the protocols described below. During the at-home sle

Participants will be randomised to either sleep restriction or well-rested conditions, for 8 nights of at-home sleep monitoring. Participants in the sleep restriction condition will be expected to keep a regular sleep schedule involving 5hrs/night total time in bed, prescribed by the research team. Participants will be asked to ensure they adhere to the bed and wake times prescribed, and researchers will monitor their adherence each day via the protocols described below. During the at-home sleep monitoring period, participants will be asked to wear an actigraph/fitbit 24-hours per day (except when engaged in activities that may damage the device). Participants will also be asked to complete a daily sleep diary and call-ins to a designated voicemail system. Call-ins are made day and night as a secondary measure of adherence to the bed and wakes times. Lastly, participants will be expected to wear an at-home EEG device for 5 nights. To achieve this, participants will be provided with a Dreem headband, which they are expected to wear during their allocated sleep times (5hrs/night). The device is worn on the head during sleep and collects data via 5 EEG sensors (EEG) and a 3-D accelerometer. Participants will attend a 30-min video conference during their at-home monitoring period to discuss how to use the device. They will also be provided with detailed manuals on the device. On the 7th day of at-home sleep monitoring, participants will complete a battery of reward-based cognitive tasks and questionnaires on their home device.

Sponsors

Monash University
Lead SponsorUniversity

Study design

Allocation
Randomised controlled trial
Intervention model
Parallel
Primary purpose
Prevention
Masking
Open (masking not used)

Eligibility

Sex/Gender
All
Age
18 Years to 39 Years
Healthy volunteers
Yes

Inclusion criteria

- Healthy adults - Aged between 18-39 years - Fluent in English

Exclusion criteria

- Any history or current serious medical (e.g., autoimmune disorders, inflammatory disorders, epilepsy, migraine, neurological disorders, colour blindness, eye disorders/diseases, or cancer), sleep, or psychiatric diagnoses - Family history of mood or psychotic disorders - Atypical sleep schedule (defined as a regular bedtime NOT between 10pm-12:30am or wake time NOT between 6am and 9am or a total sleep time more than 9 hours or less than 7 hours). - A current or past smoker (within last year) - Any illicit/recreational use of drug or medications (including prescription medications used outside of the prescribed use) within the past 3 months - Taking psychotropic (anti-depressants, antipsychotics, and mood stabilisers), sleep or pain medications - A moderate to severe traumatic brain injury (i.e., head injury accompanied by loss of consciousness > 30 minutes and/or altered mental state > 24 hours) - An average daily consumption of more than 400mg caffeine within the past 3 months. - An average weekly consumption of more than 10 standard alcoholic drinks per week or more than 6 drinks per day, within the past 3 months. - Any shift work within the past 3 months, defined as any work undertaken after 10pm and/or before 6am - A BMI of <18.5 or >30 - Insufficient fluency in English to understand tasks and questionnaires - No computer/laptop or internet connection to complete remote cognitive testing

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026