Abstract
Although maintained by multiple arousal systems, wakefulness falters if orexin (hypocretin), orexin receptors, or orexin neurons are deficient; narcolepsy results with hypersomnolence or sudden onset of rapid eye movement sleep [or paradoxical sleep (PS)] and loss of muscle tonus. To learn how orexin neurons maintain wakefulness, we recorded neurons in head-fixed rats across the sleep-waking cycle and then labeled them with Neurobiotin to identify them by immunohistochemistry. We show that identified orexin neurons discharge during active waking, when postural muscle tone is high in association with movement, decrease discharge during quiet waking in absence of movement, and virtually cease firing during sleep, when postural muscle tone is low or absent. During PS, they remain relatively silent in association with postural muscle atonia and most often despite phasic muscular twitches. They increase firing before the end of PS and thereby herald by several seconds the return of waking and muscle tone. The orexin neurons would thus stimulate arousal, while antagonizing sleep and muscle atonia.
Introduction
Wakefulness is maintained by many parallel and partially redundant neural systems that use multiple neurotransmitters (Jones, 2003). Lesion of any one of these systems, including the noradrenergic locus ceruleus and cholinergic brainstem or basal forebrain neurons, does not result in an inability to stay awake. Yet, loss of the peptide orexin (Orx) (also called hypocretin), its receptor, or the neurons that contain it, results in an incapacity to maintain wakefulness and a syndrome known as narcolepsy, characterized by hypersomnolence, sudden onset of rapid eye movement sleep (REMS) [also called paradoxical sleep (PS)], and/or cataplexy (Chemelli et al., 1999; Lin et al., 1999; Peyron et al., 2000; Thannickal et al., 2000). Orx neurons thus play a key role in warding off sleep, including, importantly, REMS. They may fulfill this role through their documented projections and excitatory actions on other arousal systems together with their direct stimulatory action on cortical, motor, and sympathetic systems (Peyron et al., 1998; Shirasaka et al., 1999; Bourgin et al., 2000; Eggermann et al., 2001; Eriksson et al., 2001; Bayer et al., 2002; Burlet et al., 2002; Krout et al., 2003; Yamuy et al., 2004). They would do so by releasing Orx from their terminals when they discharge. Studies assessing Orx release in the brain by microdialysis indicated that it is maximal during periods of wakefulness (Zeitzer et al., 2003) yet also indicated that it could be high during REMS (Kiyashchenko et al., 2002). Similarly, studies assessing Orx neuronal activity by examining c-Fos expression have indicated that it was high with waking (W) (Estabrooke et al., 2001) yet also appeared to be high during pharmacologically induced REMS (Torterolo et al., 2001). However, the sensitivity and temporal resolution of microdialysis for studying release of Orx and of c-Fos expression for studying activity of Orx neurons are inadequate for revealing neuronal discharge during sleep-wake states. The discharge of Orx neurons across the sleep-waking cycle can be known only by recording their activity during this cycle. Single-unit recording studies have been performed in the rat within the perifornical lateral hypothalamus where the Orx neurons are located, yet have revealed multiple cell types therein including some neurons that discharge during waking and a larger number that discharge during both waking and PS (Alam et al., 2002; Koyama et al., 2003). Thus, before undertaking the present study, the sleep-wake state-related activity of Orx neurons was uncertain, and how they could maintain wakefulness was frankly puzzling.
To determine the discharge profile of Orx neurons across the sleep-waking cycle, we recorded units during sleeping and waking in head-fixed rats (Lee et al., 2004) and then labeled the cells with Neurobiotin (Nb) using the juxtacellular technique (Pinault, 1996) for their subsequent immunohistochemical identification. We reported preliminary results of this work in abstract form (Lee and Jones, 2004).
Materials and Methods
Surgery and recording. All procedures were approved by the McGill University Animal Care Committee and the Canadian Council on Animal Care, which also meet international standards. Adult Long-Evans rats (200-250 g; Charles River, St. Constant, Quebec, Canada) were operated on under deep anesthesia (ketamine, xylazine, and acepromazine, 65:5:1 mg/kg in a mixture of 2 ml/kg initial dose and 1 mg/kg booster as needed, i.p.). EEG (epidural screws over cortex, including olfactory bulb, anterior medial prefrontal cortex, and retrosplenial cortex) and EMG electrodes (in nuccal muscles) were implanted together with a metal U-frame for holding the head by screws to a sliding carriage adapter within the stereotaxic frame, as described previously (Lee et al., 2004). Animals were maintained before and after surgery and during experimentation on a 12 h light/dark schedule with lights on from 7:00 A.M. to 7:00 P.M. After recovery from surgery (2 d), the animals were habituated to head fixation (6-9 d). Lying within a Plexiglas box, they were prevented from twisting their bodies yet were otherwise able to move their body and limbs relatively freely, as well as to sleep in a sphinx position. After adaptation, the rats were once again anesthetized (as above) and operated on by drilling holes in the skull (anteroposterior, -2.8 mm from bregma; lateral, ±1.3 mm) and opening the dura over the lateral hypothalamic area on each side. After 1 d of recovery, daily recording sessions of ∼6 h (∼11:00 A.M. to 5:00 P.M.) were performed over a maximum of 5 d. Single units were recorded using glass micropipettes (∼1 μm tip) that were filled with 0.5 m NaCl and ∼5% Nb (Vector Laboratories, Burlingame, CA), and an intracellular amplifier (Neurodata IR-283A; Cygnus Technology, Delaware Water Gap, PA). The unit signal was amplified (2000×) and filtered (0.3-3 kHz) using a CyberAmp380 (Molecular Devices, Palo Alto, CA), then acquired at 16 kHz for on-line viewing with Axoscope (version 8.1; Molecular Devices) to verify that the recorded activity was derived from a single unit. The unit signal and EEG/EMG were simultaneously acquired and digitized at 8 kHz and 250 Hz, respectively, using EEG and sleep-wake scoring software (Harmonie, version 5.2; Stellate, Montreal, Quebec, Canada). Video recording of behavior was also acquired simultaneously by the same software. On the last day of recording from one side, the last cell recorded during active wake (aW), slow-wave sleep (SWS), and PS was labeled with Nb using the juxtacellular technique, as described previously (Pinault, 1996; Manns et al., 2000; Lee et al., 2004).
Data analysis. For analysis, units were selected that had been recorded for >5 min and during at least one episode of aW, SWS, and PS. Together with the synchronized video images of behavior, records of EEG and EMG were scored by 10 s epochs for sleep-wake state as described previously (Maloney et al., 1997; Lee et al., 2004). Wake, SWS, and PS states were scored when characteristic EEG/EMG activity occupied >75% of the epoch; transitional stages into SWS and PS were scored when characteristic activity or mixed activity occurred during the epoch. Active wake was scored when movement occurred during the wake epoch, as evident by phasic EMG activity along with video images, and theta EEG activity. The unit activity was subsequently analyzed per 10 s epoch in each sleep-wake state for average discharge rate (spikes per second) and instantaneous firing frequency using the first modal peak of the interspike interval histogram. Gamma (30-58 Hz) power, delta (1-4.5 Hz) power, and theta (4.5-8 Hz) activity were measured per epoch along with EMG amplitude (30-100 Hz) for correlation with unit spike rate. Classification of units according to the state in which their maximal discharge rate occurred was performed by ANOVA followed by post hoc paired comparisons (Lee et al., 2004). All spikes were averaged across the recording for measurement of the spike duration (from first zero crossing on upward deflection to second zero crossing on second upward deflection on return to baseline, set at 10% of peak amplitude from zero). The change in firing during the transition from PS to W was determined by considering the initial increase in discharge as the time when the firing rate during three consecutive 1 s bins was at least 2 SDs greater than the mean rate during 20 s before the state transition.
Histochemistry. After the recording and labeling of units, the rat was anesthetized with an overdose of sodium pentobarbital (Somnotol; ∼100 mg/kg, i.p.) and perfused with 4% paraformaldehyde solution. After immersion in 30% sucrose for 2-3 d, brains were frozen for storage and subsequent cutting in 25-μm-thick sections. For revelation of Neurobiotin, sections were incubated for 2.5 h in cyanine 2 (Cy2)-conjugated streptavidin (1:1000; Jackson ImmunoResearch, West Grove, PA). After location of an Nb-labeled cell, the relevant section was incubated over-night at room temperature in goat anti-Orx A antiserum (1:500; Santa Cruz Biotechnology, Santa Cruz, CA) and subsequently for 2 h in Cy3-conjugated donkey anti-goat antiserum (1:1000; Jackson ImmunoResearch). Nb-labeled cells were located by epifluorescence using a Leica (Nussloch, Germany) DMLB microscope. Images of the labeled cells were acquired and their location mapped onto a computer resident atlas with the aid of Neurolucida (version 5; MicroBrightField, Williston, VT).
Results
We recorded neurons within the perifornical lateral hypothalamus in head-fixed rats that were habituated to sleep in a stereotaxic frame (Lee et al., 2004). After recording a neuron across aW, quiet waking (qW), transition to slow-wave sleep (tSWS), SWS, transition to PS (tPS), and PS, we labeled that neuron with Nb using the juxtacellular technique (Lee et al., 2004) for subsequent immunohistochemical staining of Orx. In initial sampling, we selected cells with different profiles of activity to sample all of the different cell types previously recorded and categorized in the lateral hypothalamus (Alam et al., 2002; Koyama et al., 2003). Twenty-five neurons were successfully recorded across all sleep-wake states, labeled with Nb, and found to be situated within the lateral hypothalamus in the region of the Orx neurons (Fig. 1). Six were immunopositive for Orx (Orx+) (Fig. 1, Table 1). All Nb+/Orx+ cells discharged at their maximal rate during aW and were thus classified as W-max-active (Table 1). Cells that discharged maximally during SWS (S-max-active), PS (P-max-active), or aW and PS (WP-max-active) were all Orx negative (Orx-) (Table 1) (data not shown). And cells that discharged at equivalent rates across states (wsp-eq) were Orx negative (data not shown).
The average discharge rate of the Orx+ neurons during aW was 3.17 ± 0.79 Hz (mean ± SEM; n = 6), and the instantaneous firing frequency (based on the interspike interval mode) was 12.20 ± 2.93 Hz, reflecting a relatively slow discharge in single spikes with some phasic modulation in frequency. Their average spike duration was 2.07 ± 0.08 ms. The W-max-active, Orx-negative cells (n = 5) (Table 1) showed greater variability in their discharge properties and, because of overlap, did not differ significantly as a group from the Orx+ cells in their average discharge rate (12.15 ± 7.20 Hz) or instantaneous firing frequency (40.76 ± 20.94 Hz) during active waking, nor in their average spike duration (1.72 ± 0.22 ms). Along two parameters, however, W-max-active, Orx-negative cells could be distinguished from Orx+ cells (according to values falling outside the 0.99 confidence intervals of the Orx+ cell distributions) by higher average spike rate (>6.5 Hz) and shorter or longer spike duration (<1.76 or >2.38 ms). However, there were Orx-negative cells that discharged maximally in each of the other states or equivalently across states (see above) (Table 1) that could not be distinguished from Orx+ cells by these criteria.
The average discharge rate of the Orx+ neurons decreased markedly from aW (3.17 ± 0.79 Hz; mean ± SEM; n = 6) to qW (0.64 ± 0.22; representing a significant change of rate in six of six cells; p < 0.05) (Fig. 2A). It decreased further from aW and qW to sleep (representing a significant change in rate from aW in six of six cells and from qW in three of six cells; p < 0.05). The low rate during sleep reflected a virtual silence that occurred during tSWS (0.14 ± 0.07 Hz), SWS (0.09 ± 0.05 Hz), and tPS (0.03 ± 0.02 Hz), and that continued during PS (0.24 ± 0.11 Hz; with no significant change in rate across sleep stages in five of six cells; p > 0.05). Across all sleep-wake stages (including tPS and PS), the discharge rate was negatively correlated with delta EEG power (average r = -0.47), weakly correlated with gamma EEG power (average r = 0.14), and positively correlated with EMG amplitude (average r = 0.57). Across W and SWS stages (and not including tPS and PS when Orx neurons are relatively silent despite cortical activation), the discharge rate was more strongly negatively correlated with delta power (average r = -0.64) and positively correlated with gamma power (average r = 0.49), as well as EMG amplitude (average r = 0.36). The positive correlation of discharge rate with EMG amplitude reflected the relatively high discharge rate that occurred with active waking, which was defined by phasic activity on the neck EMG recording and associated theta activity on the EEG recording along with movement of the body, limbs, whiskers, or muzzle evident on the video recording (Fig. 2B,C1) (supplemental video 1, available at www.jneurosci.org as supplemental material). It also reflected the very low discharge rate or relative silence that occurred during SWS with low muscle tone and during PS with absence of muscle tone (Fig. 2C1,C2) (supplemental video 2, available at www.jneurosci.org as supplemental material). When the neurons did discharge with one or two spikes during sleep, they usually did so at a time when a small movement or twitch occurred, although not always and not usually simultaneously. Nonetheless, the neurons remained silent during long periods of PS while prominent twitches of the whiskers and muzzle or even paws occurred (supplemental videos 2 and 3, available at www.jneurosci.org as supplemental material). In contrast, when the Orx neurons began to discharge with several spikes during PS, a brief arousal could occur with a change in EEG activity and appearance of neck muscle tone along with body movement, indicative of waking (Fig. 2C3) (supplemental video 3, available at www.jneurosci.org as supplemental material). In the transition from PS to aW, Orx+ cells consistently began to fire during PS (2-7 s) before the return of EMG activity and (up to 6 s) before the change in EEG activity seen as an attenuation of theta (in six Orx cells) (Fig. 2C3,C4) (supplemental videos 3 and 4, available at www.jneurosci.org as supplemental material). Across sleep-wake states, the spike discharge was thus positively correlated with movement, as indicative of behavioral arousal, yet could also precede as well as occur during movement and increased postural muscle tone. Uniquely across wake and SWS, the discharge was also positively correlated with gamma EEG activity, as indicative of cortical activation that can occur with attentive in addition to active waking and thus independent of movement (Maloney et al., 1997).
Discussion
We show for the first time that Orx neurons discharge during and preceding active waking and virtually cease firing during sleep, including SWS and, importantly, PS (or REMS). Given that Orx neurons have the capacity to sustain neural activity in the absence of synaptic input (Eggermann et al., 2003), we presume that their silence during sleep is caused by inhibitory input from GABAergic sleep-active neurons located in the basal forebrain and preoptic area or elsewhere (Henny and Jones, 2003; Modirrousta et al., 2004). Compared with other arousal systems, the Orx neurons are similar to the noradrenergic locus ceruleus neurons, which are W-On and PS-Off cells that promote cortical and behavioral arousal (Hobson et al., 1975; Aston-Jones and Bloom, 1981). They are entirely different from cholinergic brainstem and basal forebrain neurons, which are W-On and PS-On neurons that stimulate cortical activation during both W and PS, and can also promote the muscle atonia or cataplexy of PS or REMS (Mitler and Dement, 1974; El Mansari et al., 1989; Nishino et al., 1995; Lee et al., 2005). The Orx cell discharge is positively correlated with EMG activity as well as fast, gamma EEG activity during waking and negatively correlated with slow, delta EEG activity. The Orx neurons would thus stimulate both increased muscle tone and cortical activation when they fire before, as well as during, active waking. In fact, local injections of Orx in the brain have been shown to interrupt sleep and stimulate prolonged active waking (Bourgin et al., 2000; Espana et al., 2001). Given their projections and influence (Peyron et al., 1998; Krout et al., 2003), Orx neurons can directly stimulate cortical activation and muscle tone by directly exciting cortical neurons (Bayer et al., 2004) and motor neurons (Yamuy et al., 2004). Also known to play an important role in energy regulation, they moreover have the capacity to stimulate metabolism in parallel with activity through influences on the sympathetic nervous system, the hypothalamo-pituitary-adrenal axis and hypothalamo-pituitary-thyroid axis (Ida et al., 2000; Hara et al., 2001; Espana et al., 2003; Monda et al., 2003; Yamanaka et al., 2003). They would concurrently engage all other, including noradrenergic, arousal systems in the brain (Peyron et al., 1998; Bourgin et al., 2000; Eggermann et al., 2001; Eriksson et al., 2001; Bayer et al., 2002; Burlet et al., 2002; Krout et al., 2003). Indeed, the increase in discharge by the Orx neurons that precedes the cortical activity change and return of muscle tone in the transition from PS to wake, appears to anticipate that of the noradrenergic locus ceruleus neurons (Aston-Jones and Bloom, 1981). With a loss of Orx neurons, early and coordinated engagement of these multiple systems would be deficient, resulting in their inadequate recruitment and thus deficient arousal or hypersomnolence. Their absence would also likely result in an imbalance among systems under certain conditions, resulting in a predominance by the cholinergic W-On/PS-On neurons that would precipitate the loss of muscle tonus together with cortical activation and thus the sudden onset of PS or REMS, as occurs in narcolepsy (Nishino et al., 1995).
Footnotes
This work was supported by Canadian Institutes of Health Research Grant 13458 and National Institutes of Health Grant RO1 MH-60119-01A to B.E.J. We thank Lynda Mainville, Pablo Henny, Mandana Modirrousta, and Frederic Brischoux for assistance with the histochemistry and neuroanatomical analysis.
Correspondence should be addressed to Barbara E. Jones, McGill University, Montreal Neurological Institute, 3801 University Street, Montreal, Quebec, Canada H3A 2B4. E-mail: barbara.jones{at}mcgill.ca.
Copyright © 2005 Society for Neuroscience 0270-6474/05/256716-05$15.00/0
↵* M.G.L. and O.K.H. contributed equally to this work.