Cognitive Control During Sleep: the Strange Case of Self-Awakening

NCT ID: NCT06685380

Last Updated: 2024-11-15

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 40 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-01-22
• Study Completion Date: 2027-12-31

Brief Summary

The experimental model of self-awakening highlights several important issues, particularly the lack of a reliable model for estimating the time interval, from minutes to hours, that passes between falling asleep at night and the moment of self-awakening. This may be explained by limited knowledge of ultradian brain oscillators (i.e., biorhythms with periods shorter than 24 hours) related to the perception of time during nighttime sleep, although the processes involved in the internal timing of circadian rhythms have been extensively studied. These are biologically regulated by a relatively small group of around 10,000 neurons in the suprachiasmatic nucleus of the hypothalamus, oscillating with a 24-hour rhythm.

Little is known about ultradian timekeepers of sleep, especially related to the REM (Rapid Eye Movement) sleep cycle, but they likely play a crucial role in self-awakening. So far, self-awakening has been studied using various subjective and objective methodologies, including questionnaires, sleep diaries, actigraphy, and polysomnography. However, no study has integrated all these different approaches Objective The primary aim of this project will be to investigate the psychophysiological and neuropsychophysiological characteristics underlying the phenomenon of self-awakening, introducing an innovative multimodal approach by combining three main methodologies (ecological assessment, neuropsychological approach, and polysomnographic recording). Specifically, the first part of the study will aim to confirm, through an actigraphic survey, that subjects who report this ability at a subjective level (evaluated via the SAQ questionnaire) are indeed capable of performing it. Secondly, the polysomnographic study will aim to evaluate the EEG characteristics of 'self-awakeners' in the 30 minutes preceding self-awakening, compared to those preceding forced awakening caused by an external stimulus. Finally, the neuropsychological assessment will aim to evaluate differences in the cognitive control domains and temporal estimation abilities in 'self-awakeners' compared to subjects unable to self-awaken.

The hypothesis is that subjects capable of self-awakening will exhibit distinctive neurophysiological and neuropsychological characteristics. In particular, these subjects are expected to show a reduction in the density and power of slow waves starting 30 minutes before self-awakening, thus indicating the ability to inhibit deep sleep in preparation for wakefulness. Additionally, it is hypothesized that these subjects may exhibit better performance in neuropsychological variables related to cognitive control and temporal estimation.

Detailed Description

Sleep is often mistakenly conceived as a passive state; however, it actually plays a fundamental role in regulating daytime cognitive functions such as memory and emotion (Klinzing et al., 2019). Additionally, other phenomena suggest that complex cognitive processing may be active during sleep. For example, lucid dreaming, the ability to be aware of dreaming while in the dream, involves a form of volitional control during sleep (Baird et al., 2019). Another scarcely studied experience related to regained cognitive activity during sleep is self-awakening. People habitually use alarms to wake up at a specific time in the morning. Interestingly, some individuals report the ability to wake up without the aid of any timekeeper; we refer to this phenomenon as self-awakening. Although the experience is commonly reported, certain specifics are needed to identify and understand the phenomenon.

Firstly, awakening from sleep can be induced by external stimuli but may also occur spontaneously. Secondly, spontaneous awakening can be divided into natural awakening, caused by a "natural" cessation of sleep due to the dissipation of physiological sleep pressure, or self-awakening, driven by the intent to wake up. Thirdly, self-awakening itself requires clarification: it may be habitual (i.e., a person wakes up at the same time every day), in which case circadian rhythms are the driving factor, or it can be induced by will. This latter phenomenon is the primary focus of interest here.

Studying self-awakening is not only fascinating but could also provide insights into the presence of specific cognitive processes even at minimal or absent levels of consciousness. There are at least three cognitive operations that a sleeping person must successfully perform to awaken at the intended time. First, they must encode and remember the target time, which should be easily accessible; second, elapsed time during sleep should be constantly estimated and compared to the target time; third, one must regain voluntary control during sleep to awaken. All these operations must be carried out while the sleeping subject is in a state typically characterized by minimal levels of consciousness (Tononi & Massimini, 2008).

The experimental model of self-awakening highlights several important issues, particularly the lack of a reliable model for estimating the time interval, from minutes to hours, that passes between falling asleep at night and the moment of self-awakening. This may be explained by limited knowledge of ultradian brain oscillators (i.e., biorhythms with periods shorter than 24 hours) related to the perception of time during nighttime sleep, although the processes involved in the internal timing of circadian rhythms have been extensively studied. These are biologically regulated by a relatively small group of around 10,000 neurons in the suprachiasmatic nucleus of the hypothalamus, oscillating with a 24-hour rhythm.

Little is known about ultradian timekeepers of sleep, especially related to the REM (Rapid Eye Movement) sleep cycle, but they likely play a crucial role in self-awakening. So far, self-awakening has been studied using various subjective and objective methodologies, including questionnaires, sleep diaries, actigraphy, and polysomnography. However, no study has integrated all these different approaches Objective The primary aim of this project will be to investigate the psychophysiological and neuropsychophysiological characteristics underlying the phenomenon of self-awakening, introducing an innovative multimodal approach by combining three main methodologies (ecological assessment, neuropsychological approach, and polysomnographic recording). Specifically, the first part of the study will aim to confirm, through an actigraphic survey, that subjects who report this ability at a subjective level (evaluated via the SAQ questionnaire) are indeed capable of performing it. Secondly, the polysomnographic study will aim to evaluate the EEG characteristics of 'self-awakeners' in the 30 minutes preceding self-awakening, compared to those preceding forced awakening caused by an external stimulus. Finally, the neuropsychological assessment will aim to evaluate differences in the cognitive control domains and temporal estimation abilities in 'self-awakeners' compared to subjects unable to self-awaken.

The hypothesis is that subjects capable of self-awakening will exhibit distinctive neurophysiological and neuropsychological characteristics. In particular, these subjects are expected to show a reduction in the density and power of slow waves starting 30 minutes before self-awakening, thus indicating the ability to inhibit deep sleep in preparation for wakefulness. Additionally, it is hypothesized that these subjects may exhibit better performance in neuropsychological variables related to cognitive control and temporal estimation.

Conditions

Self-awakening: Ability to Wake Up Without the Aid of Any Timekeeper

Study Design

• Observational Model Type: CASE_CONTROL
• Study Time Perspective: PROSPECTIVE

Study Groups

Self Awakening

Not applicable- observational study

Intervention Type: OTHER

For observational studies, participants are not assigned an intervention as part of the study

Control

Not applicable- observational study

Intervention Type: OTHER

For observational studies, participants are not assigned an intervention as part of the study

Interventions

Not applicable- observational study

For observational studies, participants are not assigned an intervention as part of the study

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Subjects, both men and women
• aged over 18 and under 65
• Ability to understand and sign the informed consent

Exclusion Criteria

• Subjects unable to read, understand, or correctly complete the procedures required by the study
• Subjects with significant respiratory disorders (respiratory failure, pneumopathy, pneumothorax, COPD-Chronic Obstructive Pulmonary Disease) and sleep-related respiratory disorders (OSA-Obstructive Sleep Apnea Syndrome, central apneas)
• Subjects with nocturnal epilepsy, epilepsy, REM (Rapid Eye Movement) and NREM (Non-Rapid Eye Movement) parasomnias
• Subjects with neurological and/or psychiatric disorders
• Subjects with any form of senile dementia
• Subjects with significant internal medical conditions that could impair sleep, at the discretion of the study physician (diabetes, arterial hypertension, thyroid disorders, metabolic syndrome)

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

IRCCS San Raffaele

OTHER

Sponsor Role: lead

Responsible Party

Luigi Ferini Strambi

Director

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Luigi Ferini-Strambi, MD

Role: PRINCIPAL_INVESTIGATOR

UO Neurologia Centro di Medicina del sonno

Locations

UO Neurologia Centro di Medicina del sonno

Milan, Italy, Italy

Site Status: RECRUITING

Countries

Italy

Central Contacts

Luigi Ferini-Strambi, MD

Role: CONTACT

ferinistrambi.luigi@hsr.it

+390226433363

Facility Contacts

Luigi Ferini-Strambi, MD

Role: primary

ferinistrambi.luigi@hsr.it

+390226433363

Other Identifiers

CET 68-2023

Identifier Type: -

Identifier Source: org_study_id