Objective daytime sleepiness in patients with somnambulism or sleep terrors

Lopez, Régis; Jaussent, Isabelle; Dauvilliers, Yves

doi:10.1212/wnl.0000000000001019

Cited by 42 publications

(30 citation statements)

References 27 publications

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“…The information stored in the Thermochron iButton, the actimeter, and light sensor was transferred to a personal computer using the software provided by the manufacturer through an adapter (DS1402D‐DR8; IDC, Spain) or an optical USB Base Station (MAN‐BASE‐U‐4, HOBO). The Circadianware software implemented in the Kronowizard platform (https://kronowizard.um.es/) calculated the single integrated variable, TAP, from the integration of wrist temperature (inverted), motor activity and body position where maximum values should occur at the same time of the day and indicate a high level of activation (values near 1) or complete rest and sleep (around 0) [Lopez, Jaussent, & Dauvilliers, ; Ortiz‐Tudela, Martinez‐Nicolas, Albares, et al, ]. For computing TAP values, motor activity and body position data were added up and averaged, respectively, in 10‐min intervals (matching wrist temperature sampling rate).…”

Section: Methodsmentioning

confidence: 99%

Sleep problems in adults with autism spectrum disorder and intellectual disability

Ballester

Martı́nez

Javaloyes³

et al. 2018

Autism Research

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Sleep problems (SP) are recognized as a common comorbid condition in autism spectrum disorder (ASD) and can influence core autism symptoms and mental and physical health. SPs can be lifelong and have been reported that adults on the autistic spectrum with and without intellectual disability (ID) present SPs (longer sleep latency, frequent night awakenings, and circadian rhythm sleep-wake disorders). A prospective, objective sleep study was conducted in 41 adults with ASD (33 AE 6 years old) and ID and 51 typically developing adults (33 AE 5 years old) using ambulatory circadian monitoring (ACM) recording wrist temperature, motor activity, body position, sleep, and light intensity. The findings indicated that individuals with ASD presented sleep difficulties including low sleep efficiency, prolonged sleep latency and increased number and length of night awakenings, together with daily sedentary behavior, and increased nocturnal activity. Furthermore, indications of an advanced sleepwake phase disorder were found in these autistic adults. Examining sleep and markers of the circadian system showed significant differences between adults with ASD and ID and an age-matched, healthy adult population. The sleep disturbances described for this sample of adults with ASD and ID are similar to those of already described for adults with ASD without ID; their relationship with intellectual ability should be further studied. Improving knowledge of sleep patterns in ASD adults with ID might help to designed targeted interventions to improve their functioning and reduce family stress. Autism Research 2019, 12: 66-79.Lay Summary: SPs are very frequent in autism from childhood to adulthood. We recorded sleep with a watch-like device in adults with autism and ID and compared sleep patterns with nonautistic volunteers. Results showed poorer sleep conditions in adults with autism (increased sleep latency and number/length of night awakenings) that resulted in decreased sleep efficiency. Increasing knowledge of the SPs in adults on the autism spectrum will allow to improve their and their families' quality of life.

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Section: Methodsmentioning

confidence: 99%

Sleep problems in adults with autism spectrum disorder and intellectual disability

Ballester

Martı́nez

Javaloyes³

et al. 2018

Autism Research

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“…All participants underwent one night of PSG recording in the sleep laboratory as previously described56. Twenty-nine patients (45%) were previously treated for RLS [dopaminergic agonists (ropinirole, pramipexole, rotigotine in 86%), alpha 2 delta-ligands (pregabaline, gabapentin, 7%), levodopa-benserazide (3%), clonazepam and opioids (codeine, 4%)].…”

Section: Methodsmentioning

confidence: 99%

MEIS1 variant as a determinant of autonomic imbalance in Restless Legs Syndrome

Thireau

Farah

Molinari

et al. 2017

Sci Rep

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Restless Legs Syndrome (RLS) is a genetically complex neurological disorder in which overlapping genetic risk factors may contribute to the diversity and heterogeneity of the symptoms. The main goal of the study was to investigate, through analysis of heart rate variability (HRV), whether in RLS patients the MEIS1 polymorphism at risk influences the sympathovagal regulation in different sleep stages. Sixty-four RLS patients with periodic leg movement index above 15 per hour, and 38 controls underwent one night of video-polysomnographic recording. HRV in the frequency- and time- domains was analyzed during nighttime sleep. All RLS patients were genotyped, and homozygotes for rs2300478 in the MEIS1 locus were used for further analysis. Comparison of the sympathovagal pattern of RLS patients to control subjects did not show significant differences after adjustments for confounding factors in frequency-domain analyses, but showed an increased variability during N2 and N3 stages in time-domain analyses in RLS patients. Sorting of RLS patients according to MEIS1 polymorphism reconfirmed the association between MEIS1 and PLMS, and showed a significant increased sympathovagal balance during N3 stage in those homozygotes for the risk allele. RLS patients should be considered differently depending on MEIS1 genotype, some being potentially at risk for cardiovascular disorders.

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“…15,16 The EEG characteristics of the first 3 seconds of each SWS interruption were categorized according to 3 patterns already associated with behavioral arousals from NREM sleep in DOA patients. The sum of all SWS interruptions per hour of SWS was named the SWS fragmentation index (SWSFI), as previously described.…”

Section: Vpsg Evaluationmentioning

confidence: 99%

“…The sum of all SWS interruptions per hour of SWS was named the SWS fragmentation index (SWSFI), as previously described. 15,16 The EEG characteristics of the first 3 seconds of each SWS interruption were categorized according to 3 patterns already associated with behavioral arousals from NREM sleep in DOA patients. 17,18 Pattern I (fast arousal) was characterized by predominant alpha and beta activities and <20% of theta and delta activities (Fig, A); pattern III (slow arousal) was characterized by predominant diffuse synchronous delta activity and <20% of alpha, beta, or theta activities (see Fig, C); and pattern II (intermediate or mixed arousal) corresponded to events that did not have the features of pattern I or III (see Fig, B).…”

Section: Vpsg Evaluationmentioning

confidence: 99%

Diagnostic criteria for disorders of arousal: A video‐polysomnographic assessment

Lopez

Shen

Chenini

et al. 2018

Annals of Neurology

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Objective daytime sleepiness in patients with somnambulism or sleep terrors

Abstract: Excessive daytime sleepiness is a common complaint in subjects with SW or ST and shorter sleep latencies in the early morning hours. Despite an increased slow-wave sleep fragmentation found in these patients, we did not identify any association with the level of daytime sleepiness.

Cited by 42 publications

References 27 publications

Sleep problems in adults with autism spectrum disorder and intellectual disability

Sleep problems in adults with autism spectrum disorder and intellectual disability

MEIS1 variant as a determinant of autonomic imbalance in Restless Legs Syndrome

Diagnostic criteria for disorders of arousal: A video‐polysomnographic assessment

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