The Dorsal Medial Habenula Minimally Impacts Circadian Regulation of Locomotor Activity and Sleep

Hsu, Yun-Wei A.; Gile, Jennifer; Perez, Jazmine G.; Morton, Glenn; Ben-Hamo, Miriam; Turner, Eric E.; Iglesia, Horacio O. de la

doi:10.1177/0748730417730169

Cited by 12 publications

(9 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Manual scores were assigned to 10 s epochs, for 3 h during the final third of the light phase; a time window with the highest probability to detect both stages of sleep, along with wake states. Next, we processed recordings during this same time interval using an autoscoring algorithm that was written in R (version 3.3.0) and described previously [87]. Manual scores were used as a standard to validate the autoscoring algorithm.…”

Section: Star+methods Key Resources Table Contact For Reagent and Resource Sharingmentioning

confidence: 99%

Kisspeptin Neurons in the Arcuate Nucleus of the Hypothalamus Orchestrate Circadian Rhythms and Metabolism

et al. 2019

Self Cite

View full text Add to dashboard Cite

Successful reproduction in female mammals is precisely timed and must be able to withstand the metabolic demand of pregnancy and lactation. We show that kisspeptin-expressing neurons in the arcuate hypothalamus (Kiss1 ARH ) of female mice control the daily timing of food intake, along with the circadian regulation of locomotor activity, sleep, and core body temperature. Toxin-induced silencing of Kiss1 ARH neurons shifts wakefulness and food consumption to the light phase and induces weight gain. Toxin-silenced mice are less physically active and have attenuated temperature rhythms. Because the rhythm of the master clock in the suprachiasmatic nucleus (SCN) appears to be intact, we hypothesize that Kiss1 ARH neurons signal to neurons downstream of the master clock to modulate the output of the SCN. We conclude that, in addition to their wellestablished role in regulating fertility, Kiss1 ARH neurons are a critical component of the hypothalamic circadian oscillator network that times overt rhythms of physiology and behavior.

show abstract

Section: Star+methods Key Resources Table Contact For Reagent and Resource Sharingmentioning

confidence: 99%

Kisspeptin Neurons in the Arcuate Nucleus of the Hypothalamus Orchestrate Circadian Rhythms and Metabolism

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sleep was recorded as previously described [35]. Briefly, mice were anesthetized with isoflurane and placed into a stereotaxic device where isoflurane anesthesia continued throughout surgery.…”

Section: Ecog Recordingsmentioning

confidence: 99%

“…Raw ECoG/EMG data were automatically classified in 10-second bouts as either wake, NREM sleep or REM sleep using a previously described custom algorithm implemented in Python v2.7 [35]. Briefly, the power spectrums of the ECoG and EMG signals are calculated using Welch's method with an overlap window of 50%.…”

Section: Sleep Scoring and Processingmentioning

confidence: 99%

Circadian regulation of sleep in a pre-clinical model of Dravet syndrome: dynamics of sleep stage and siesta re-entrainment

Sánchez

Bussi

Ben-Hamo

et al. 2019

Sleep

Self Cite

View full text Add to dashboard Cite

Study Objectives Sleep disturbances are common co-morbidities of epileptic disorders. Dravet syndrome (DS) is an intractable epilepsy accompanied by disturbed sleep. While there is evidence that daily sleep timing is disrupted in DS, the difficulty of chronically recording polysomnographic sleep from patients has left our understanding of the effect of DS on circadian sleep regulation incomplete. We aim to characterize circadian sleep regulation in a mouse model of DS. Methods Here we exploit long-term electrocorticographic recordings of sleep in a mouse model of DS in which one copy of the Scn1a gene is deleted. This model both genocopies and phenocopies the disease in humans. We test the hypothesis that the deletion of Scn1a in DS mice is associated with impaired circadian regulation of sleep. Results We find that DS mice show impairments in circadian sleep regulation, including a fragmented rhythm of non-rapid eye movement (NREM) sleep and an elongated circadian period of sleep. Next, we characterize re-entrainment of sleep stages and siesta following jet lag in the mouse. Strikingly, we find that re-entrainment of sleep following jet lag is normal in DS mice, in contrast to previous demonstrations of slowed re-entrainment of wheel-running activity. Finally, we report that DS mice are more likely to have an absent or altered daily “siesta”. Conclusions Our findings support the hypothesis that the circadian regulation of sleep is altered in DS and highlight the value of long-term chronic polysomnographic recording in studying the role of the circadian clock on sleep/wake cycles in pre-clinical models of disease.

show abstract

“…15 The DS mouse has been previously described to have deficits in both the circadian and homeostatic regulation of sleep. [15][16][17] Electrocorticographic Recordings Sleep was recorded as previously described 18 . Briefly, mice were anesthetized with isoflurane and placed into a stereotaxic device where isoflurane anesthesia continued throughout surgery.…”

Section: Materials and Methods Animals And Housing Conditionsmentioning

confidence: 99%

Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An open-source platform for automatic sleep staging of rodent polysomnographic data

Caldart

Sánchez

Ben-Hamo

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

AbstractThe temporal distribution of sleep stages is critical for the study of sleep function, regulation, and disorders in higher vertebrates. This temporal distribution is typically determined polysomnographically. In laboratory rodents, scoring of electrocorticography (ECoG) and electromyography (EMG) recordings is usually performed manually, where 5-10 second epochs are categorized as one of three specific stages: wakefulness, rapid-eye-movement (REM) sleep and non-REM (NREM) sleep. This process is laborious, time-consuming, and particularly impractical for large experimental cohorts with recordings lasting longer than 24 hours.To circumvent this problem, we developed an open-source Python toolkit, Sleep Identification Enabled by Supervised Training Algorithms (SIESTA), that automates the detection of these three main behavioral stages in mice. Our supervised machine learning algorithm extracts features from the ECoG and EMG signals, then automatically scores recordings with a hierarchical classifier based on Bagging Random Forest approaches. We evaluated this approach on data collected from wild-type mice housed under both normal and different lighting conditions, as well as from a mutant mouse line with abnormal sleep phenotypes. To validate its performance on test data, we compared SIESTA with manually scored data and obtained F1 scores of 0.92 for wakefulness, 0.81 for REM, and 0.93 for NREM.SIESTA has a user-friendly interface that can be used without coding expertise. To our knowledge, this is the first time that such a strategy has been developed using all open-source and freely available resources, and our aim is that SIESTA becomes a useful tool that facilitates further research of sleep in rodent models.

show abstract

The Dorsal Medial Habenula Minimally Impacts Circadian Regulation of Locomotor Activity and Sleep

Cited by 12 publications

References 40 publications

Kisspeptin Neurons in the Arcuate Nucleus of the Hypothalamus Orchestrate Circadian Rhythms and Metabolism

Kisspeptin Neurons in the Arcuate Nucleus of the Hypothalamus Orchestrate Circadian Rhythms and Metabolism

Circadian regulation of sleep in a pre-clinical model of Dravet syndrome: dynamics of sleep stage and siesta re-entrainment

Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An open-source platform for automatic sleep staging of rodent polysomnographic data

Contact Info

Product

Resources

About