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Clinical Trials/NCT06457945
NCT06457945RecruitingNot Applicable

Mind-wandering and Predictive Processes in Narcolepsy: a Putative Mechanism Through Covert REM Intrusions, the NarcoWandering Study

Hospices Civils de Lyon1 site in 1 country180 target enrollmentStarted: December 3, 2024Last updated:
Conditions
Interventions

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
Enrollment
180
Locations
1
Primary Endpoint
Difference in accuracy in responses between high-and low- probability trials during the ASRT

Study Overview

Brief Summary

Mind wandering is a state in which attention turns away from the external environment or current task to focus on internal thoughts (past experiences, future events, planned actions...). Humans are thought to spend at least one third of their waking lives in this state. Mind wandering can be assessed experimentally by investigating mental content during well-controlled tasks. In this case, task-unrelated thoughts likely to arise during tasks of varying cognitive demand are studied. Mind wandering (=task-unrelated thoughts) has a deleterious effect on cognitive performance in most paradigms, particularly those requiring sustained attention and executive control. However, this phenomenon could also have cognitive benefits, although knowledge on this issue remains limited. For example, it has been suggested that mind wandering could promote creativity, anticipation of future scenarios and prospective memory. In a recent behavioural study, we investigated the cost and benefit of mind wandering in an implicit visual-motor probabilistic learning task (ASRT - Alternating Serial Reaction Time Task). ASRT distinguishes between two fundamental processes: visuomotor performance and implicit statistical learning. While the former reflects visuo-spatial discrimination efficiency, the latter refers to the unintentional acquisition of probabilistic regularities of external inputs. Reduced visuo-spatial accuracy and faster but less accurate responses have been observed during periods of mind-wandering. On the other hand, mind-wandering was associated with enhanced statistical learning reflecting improved predictive processing.

Whereas the study of the neural correlates of mind-wandering is constantly growing, the mechanisms triggering mind-wandering are far from being unravelled, but may involve sleep pressure. Thus, the frequency of mind wandering tends to increase after sleep deprivation or during attention-demanding cognitive tasks, during which neurophysiological markers of local sleep appear. These markers of sleep during wakefulness are frequently observed in hypersomnolence disorders. They are generally defined by the appearance of slow waves (typical of slow wave sleep, SWS). Nevertheless, sleep intrusions during wakefulness may not be limited to non-rapid-eye-movement (NREM) sleep but also concern REM sleep. REM sleep is the sleep state when the most intense forms of dreaming occur, and could therefore be phenomenologically similar to the reverie of mind wandering. Thus, daytime mental wandering could be triggered by intrusions of REM sleep during wakefulness.

Patients with narcolepsy type 1 (NT1) exhibit frequent REM sleep onset during daytime wakefulness. The study of ASRT in this population therefore offers a unique opportunity to investigate the role of REM sleep intrusions in mind wandering. The hypothesis is that mind wandering would be observed more frequently during the ASRT task in NT1 patients (with REM sleep intrusions during wakefulness) than in patients with idiopathic hypersomnia (IH) (with NREM sleep intrusions during wakefulness) and patients with subjective hypersomnolence (little or no sleep intrusion). Furthermore, it could be possible that REM sleep-related mind wandering would be associated with impaired visuomotor performance in terms of accuracy, but improved predictive processing (probabilistic learning) compared to NREM sleep intrusions or no sleep intrusion during the task.

Study Design

Study Type
Interventional
Allocation
Non Randomized
Intervention Model
Parallel
Primary Purpose
Basic Science
Masking
None

Eligibility Criteria

Ages
18 Years to 65 Years (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •Patients with NT1 or IH diagnosis according to ICSD3-TR criteria (American Academy of Sleep, 2023)
  • •For patient with IH: with abnormal Mean Sleep Latency Test (MSLT) (mean latency ≤ 8 min, ≤ 1 SOREMp)
  • •Patients with subjective hypersomnolence without underlying cause (negative extensive work-up including actigraphy, PSG, MSLT, 24h bedrest, biological tests, MRI, psychiatric consultation; this allows to rule out sleep deprivation, irregular sleep/wake schedule, sleep apnea or other sleep disorders associated with sleep fragmentation, somatic/psychiatric causes of hypersomnolence, sedative substance intake). This type of "controls" have already been used in studies on hypersomnolence disorders.

Exclusion Criteria

  • •Cognitive impairment not compatible with the task
  • •Treatment with antidepressant
  • •Other cause of hypersomnolence: untreated severe obstructive sleep apnea, sleep-wake circadian rhythm disorders, sleep deprivation, somatic/psychiatric causes of hypersomnolence, sedative substance intake
  • •Unstable medical or psychiatric condition
  • •Refusal to participate

Arms & Interventions

Narcolepsy type 1

Experimental

Patients with narcolepsy type 1 according to International Classification of Sleep Disorders (ICSD3-TR) criteria; they will have to fill study questionnaires and perform the ASRT.

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

Intervention: ASRT (Behavioral)

Narcolepsy type 1

Experimental

Patients with narcolepsy type 1 according to International Classification of Sleep Disorders (ICSD3-TR) criteria; they will have to fill study questionnaires and perform the ASRT.

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

Intervention: Questionnaires (Behavioral)

Narcolepsy type 1

Experimental

Patients with narcolepsy type 1 according to International Classification of Sleep Disorders (ICSD3-TR) criteria; they will have to fill study questionnaires and perform the ASRT.

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

Intervention: Electrophysiological recordings (Device)

Idiopathic hypersomnia

Experimental

Patients with Idiopathic hypersomnia according to ICSD3-TR and with mean sleep latency ≤8min at the multiple sleep latency test (MSLT) (whatever total sleep time/24h bedrest); they will have to fill study questionnaires and perform the ASRT.

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

Intervention: Questionnaires (Behavioral)

Idiopathic hypersomnia

Experimental

Patients with Idiopathic hypersomnia according to ICSD3-TR and with mean sleep latency ≤8min at the multiple sleep latency test (MSLT) (whatever total sleep time/24h bedrest); they will have to fill study questionnaires and perform the ASRT.

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

Intervention: ASRT (Behavioral)

Idiopathic hypersomnia

Experimental

Patients with Idiopathic hypersomnia according to ICSD3-TR and with mean sleep latency ≤8min at the multiple sleep latency test (MSLT) (whatever total sleep time/24h bedrest); they will have to fill study questionnaires and perform the ASRT.

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

Intervention: Electrophysiological recordings (Device)

Subjective hypersomnolence

Active Comparator

Patient with subjective hypersomnolence without underlying cause (negative extensive work-up including actigraphy, polysomnography (PSG), MSLT, 24h bedrest, biological tests, MRI, psychiatric consultation; this allows to rule out sleep deprivation, irregular sleep/wake schedule, sleep apnea or other sleep disorders associated with sleep fragmentation, somatic/psychiatric causes of hypersomnolence, sedative substance intake).

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

They will have to fill study questionnaires and perform the ASRT.

Intervention: ASRT (Behavioral)

Subjective hypersomnolence

Active Comparator

Patient with subjective hypersomnolence without underlying cause (negative extensive work-up including actigraphy, polysomnography (PSG), MSLT, 24h bedrest, biological tests, MRI, psychiatric consultation; this allows to rule out sleep deprivation, irregular sleep/wake schedule, sleep apnea or other sleep disorders associated with sleep fragmentation, somatic/psychiatric causes of hypersomnolence, sedative substance intake).

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

They will have to fill study questionnaires and perform the ASRT.

Intervention: Questionnaires (Behavioral)

Subjective hypersomnolence

Active Comparator

Patient with subjective hypersomnolence without underlying cause (negative extensive work-up including actigraphy, polysomnography (PSG), MSLT, 24h bedrest, biological tests, MRI, psychiatric consultation; this allows to rule out sleep deprivation, irregular sleep/wake schedule, sleep apnea or other sleep disorders associated with sleep fragmentation, somatic/psychiatric causes of hypersomnolence, sedative substance intake).

A subset of patients will undergo polysomnography recording (EEG, EOG, EMG, ECG) during the ASRT.

They will have to fill study questionnaires and perform the ASRT.

Intervention: Electrophysiological recordings (Device)

Outcomes

Primary Outcomes

Difference in accuracy in responses between high-and low- probability trials during the ASRT

Time Frame: At inclusion, during the ASRT

Statistical learning will be assessed by the difference in accuracy (percentage of correct location) in responses between high-and low probability trials during the ASRT in the 3 groups (NT1, IH, subjective sleepiness). Mean accuracy scores will be computed for each block for high-and low- probability trials, and the above learning indices will be extracted for each block.

Difference in reaction time in responses between high-and low- probability trials during the ASRT

Time Frame: At inclusion, during the ASRT

Statistical learning will be assessed by the difference in reaction time (in ms) in responses between high-and low probability trials during the ASRT in the 3 groups (NT1, IH, subjective sleepiness). Median reaction times will be computed for each block for high-and low- probability trials, and the above learning indices will be extracted for each block.

Secondary Outcomes

  • Spontaneous and Deliberate Mind Wandering Scales (SDMWS) score(At inclusion)
  • Dream recall frequency(At inclusion)
  • Insomnia Severity Index score(At inclusion)
  • Neurophysiological patterns during the ASRT(At inclusion, during the ASRT)
  • Subjective states of mind during the ASRT(At inclusion, at the end of each block of ASRT)
  • Epworth Sleepiness Scale score(At inclusion)
  • Frequency of sleep-related hallucinations(At inclusion)

Investigators

Sponsor Class
Other
Responsible Party
Sponsor

Study Sites (1)

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