Homeostatic regulation of sleep in the white-crowned sparrow (Zonotrichia leucophrys gambelii)
- Stephany G Jones†1, 2,
- Vladyslav V Vyazovskiy†2,
- Chiara Cirelli2,
- Giulio Tononi2 and
- Ruth M Benca2Email author
© Jones et al; licensee BioMed Central Ltd. 2008
Received: 11 February 2008
Accepted: 27 May 2008
Published: 27 May 2008
Sleep is regulated by both a circadian and a homeostatic process. The homeostatic process reflects the duration of prior wakefulness: the longer one stays awake, the longer and/or more intense is subsequent sleep. In mammals, the best marker of the homeostatic sleep drive is slow wave activity (SWA), the electroencephalographic (EEG) power spectrum in the 0.5–4 Hz frequency range during non-rapid eye movement (NREM) sleep. In mammals, NREM sleep SWA is high at sleep onset, when sleep pressure is high, and decreases progressively to reach low levels in late sleep. Moreover, SWA increases further with sleep deprivation, when sleep also becomes less fragmented (the duration of sleep episodes increases, and the number of brief awakenings decreases). Although avian and mammalian sleep share several features, the evidence of a clear homeostatic response to sleep loss has been conflicting in the few avian species studied so far. The aim of the current study was therefore to ascertain whether established markers of sleep homeostasis in mammals are also present in the white-crowned sparrow (Zonotrichia leucophrys gambelii), a migratory songbird of the order Passeriformes. To accomplish this goal, we investigated amount of sleep, sleep time course, and measures of sleep intensity in 6 birds during baseline sleep and during recovery sleep following 6 hours of sleep deprivation.
Continuous (24 hours) EEG and video recordings were used to measure baseline sleep and recovery sleep following short-term sleep deprivation. Sleep stages were scored visually based on 4-sec epochs. EEG power spectra (0.5–25 Hz) were calculated on consecutive 4-sec epochs. Four vigilance states were reliably distinguished based on behavior, visual inspection of the EEG, and spectral EEG analysis: Wakefulness (W), Drowsiness (D), slow wave sleep (SWS) and rapid-eye movement (REM) sleep. During baseline, SWA during D, SWS, and NREM sleep (defined as D and SWS combined) was highest at the beginning of the major sleep period and declined thereafter. Moreover, peak SWA in both SWS and NREM sleep increased significantly immediately following sleep deprivation relative to baseline.
As in mammals, sleep deprivation in the white-crowned sparrow increases the intensity of sleep as measured by SWA.
Sleep is regulated by both a circadian and a homeostatic process. The circadian process is the reflection of an endogenously generated rhythm that serves to constrain sleep to the appropriate time throughout the 24-hour period. The homeostatic process is a reflection of the duration of prior wakefulness: extending the duration of wakefulness results in a compensatory increase in the intensity and/or duration of subsequent sleep, suggesting that sleep has some important, and yet unknown, functions . A vast amount of data indicates that the electroencephalographic (EEG) activity in the low frequency range (0.5–4 Hz) of non-rapid eye movement (NREM) sleep, referred to as slow wave activity (SWA, or delta activity), is currently the best marker of the homeostatic sleep drive in mammals. NREM SWA (from now on SWA) declines during normal sleep, with SWA lowest toward the end of a sleep period when sleep need is minimal. Sleep deprivation results in increases in SWA during recovery sleep relative to normal physiological sleep; this phenomenon has been demonstrated in a variety of mammalian species including humans, squirrels, rats, mice and hamsters [2–8]. Further evidence for SWA as a marker of sleep need and intensity is provided by the fact that SWA increases in a regional, use-dependent manner; those brain regions that undergo the greatest waking-associated activity also show the highest regional increases in SWA during subsequent sleep [9–14]. Recent data also suggests that SWA increases specifically in those brain regions that during waking have presumably undergone synaptic potentiation. For instance, SWA increases locally after a learning task and is positively correlated with post-sleep performance improvement , suggesting that SWA may represent more than a measure of sleep need and intensity, but may in fact mediate the restorative function of NREM sleep [15–17].
Avian and mammalian sleep share several important features. Notably, birds are the only non-mammalian class to show both rapid eye movement (REM) and NREM sleep . Although little data are available on sleep regulatory mechanisms in birds, the few published studies suggest that both the neural and neurochemical control of REM and NREM sleep likely overlap between the two classes [19, 20]. Moreover, as in mammals, sleep amounts in birds are higher during early developmental periods, and sleep quality and quantity decline with age [21, 22]. Furthermore, sleep loss has shown to negatively impact performance and vigilance in both birds and mammals, whereas sleep itself has been implicated in learning processes in both classes [15, 23–25]. Despite the considerable differences in morphology and cytology of the mammalian neocortex and the avian telencephalon, recent gene expression profiling of the avian telencephalon during sleep and wakefulness have also identified a remarkable degree of overlap between vigilance state-related gene expression in these two vertebrate classes, suggesting that the cellular consequences of sleep and waking are phylogenetically conserved [26–28].
Notwithstanding these similarities, however, the available evidence for homeostatic sleep regulation in birds is conflicting. A declining trend in SWA across the night, a pattern similar to that observed in mammals, has been observed in the domestic hen , the European blackbird , and the white-crowned sparrow . However, 24 hours of sleep deprivation in another avian species, the pigeon, resulted in small increases in the duration of total NREM and REM sleep in the subsequent sleep period, but no compensatory increase in SWA was reported . Moreover, in the white-crowned sparrow during the migratory season, despite an average reduction in nocturnal sleep of 60%, no evidence of a compensatory increase in SWA was observed in the small amount of nocturnal sleep that was obtained . Thus, whether birds have specialized mechanisms for dispensing with NREM sleep need remains unclear. The aim of the current study was therefore to ascertain whether sleep loss in the white-crowned sparrow leads to compensatory increases in SWA during the subsequent sleep period. To accomplish this goal, we investigated SWA dynamics in 6 wild-caught white-crowned sparrows, in baseline sleep relative to recovery sleep following 6 hours of sleep deprivation.
Electrophysiological and behavioral correlates of baseline vigilance states
Spectral analysis of baseline EEG
Sleep deprivation and recovery
Figure 5C shows the build-up of SWA during the first 2 hours after sleep onset at higher temporal resolution, i.e. by plotting SWA values in 10-min intervals. Relative to baseline, the SWA increase during recovery sleep was faster and reached significantly higher values in NREM sleep in the first hour after sleep onset. SWA in drowsiness also significantly increased in the first 20 to 40 minutes of recovery sleep relative to baseline. Finally, peak SWA in both SWS and NREM sleep during the first 2 hours after sleep onset reached significantly higher levels during recovery relative to baseline (p < 0.05).
The electrophysiological correlates of wakefulness and sleep we found in the white-crowned sparrow are similar to those described in other avian species . The amount of REM sleep we report here, however, is lower than previously reported in the white-crowned sparrow . One possible explanation for this discrepancy is the different criteria used to score REM sleep in the 2 studies. In the previous report vigilance state was sampled across the 24-hour period by scoring the first 4 seconds of each minute, whereas in the current study every 4-sec epoch was scored consecutively across the 24-hour period.
Interhemispheric EEG asymmetries have been described in a number of avian species , but we were unable to detect them in the white-crowned sparrow. This may reflect a genuine species difference, or may be due to technical limitations in our experimental setup. There are relatively small differences in the amplitude of the EEG signal between wakefulness and SWS in the bird, and visual scoring may fail to detect all but the most extreme examples of interhemispheric asymmetries. Another possible explanation is that unihemispheric sleep occurs mainly in some environmental conditions, for instance when birds are under the risk of predation [41, 42], and may have little immediate adaptive value under standard housing conditions such as those used in our experiments.
The analysis of the relative power spectra in baseline sleep revealed that the EEG power in the SWA range (0.5–4 Hz) was significantly higher in NREM sleep relative to all other behavioral states, as expected. We also observed a marked decline in SWA over the course of the night, with EEG power in the 0.5–4 Hz range being highest in the first 2-h interval after sleep onset and declining steadily afterwards. During drowsiness, the EEG power in the SWA range was significantly higher relative to waking, and significantly lower relative to SWS, thus providing additional evidence that drowsiness can be considered a distinct state. Moreover, SWA in drowsiness also showed a declining trend across the nocturnal period similar to that seen in SWS, suggesting that in both states SWA is homeostatically regulated.
Following 6 hours of sleep deprivation, neither the amount nor the temporal distribution of SWS or drowsiness changed during the 12-hour recovery sleep period relative to baseline sleep. This result is consistent with the effects observed following short-term sleep deprivation in mammals, where often only markers of sleep intensity such as SWA change during recovery sleep, while NREM sleep duration may not increase. REM sleep duration also did not change during recovery sleep, but we observed a significant decrease in the latency to REM sleep in the first 2-hour interval of recovery sleep. In the rat, sleep deprivation of 3, 6 or 12 hours resulted in a small REM rebound [43, 44], and in the mouse a prominent REM rebound was evident after deprivations as short as 6 hours . In the pigeon, both 24 hours and long-term sleep deprivation (several days) resulted in a pronounced REM rebound, suggesting that REM is homeostatically regulated in the bird [31, 45]. Thus, the lack of REM rebound in our study is likely a consequence of the short duration of the deprivation period, rather than a reflection of a lack of homeostatic regulation of REM sleep in this species.
The latency to the first episode of drowsiness decreased significantly during the recovery sleep period, and a trend toward a decrease in the latency to SWS was also observed. The decreased latency to drowsiness is perhaps not surprising given that drowsiness appears to represent a form of vigilant sleep and undoubtedly fulfills some of the requirements of sleep. Although sleep pressure may have been higher following the deprivation, the stress of having a predator (human) in the room for six hours may have induced a conflict between the need for continued vigilance and the need for sleep, and led to an immediate attempt to reduce sleep pressure through means other than frank sleep. Indeed, a previous report of migratory sleeplessness in the white-crowned sparrow indicated that although NREM sleep was reduced considerably during the migratory period, drowsiness was increased significantly, suggesting that drowsiness is capable of dissipating at least some level of sleep need .
Spectral analysis of the EEG following sleep deprivation also revealed changes in the SWA consistent with results described in mammals. Specifically, relative to baseline, SWA during recovery sleep reached significantly higher values in both SWS and NREM sleep in the first hour after sleep onset. SWA in drowsiness also significantly increased in the first 20 to 40 minutes after sleep onset. Finally, peak SWA in both SWS and NREM sleep during the first 2 hours after sleep onset reached significantly higher levels during recovery relative to baseline, indicating that at the beginning of baseline night SWA values were still below saturation. Interestingly, as in mammals, the first 2 hours of recovery sleep in sparrows were characterized by large increases in EEG power not only in the low frequency range, but also across most frequencies in the 10 to 20 Hz range. These changes in the high frequency range declined in the second 2-hour interval and disappeared entirely by the sixth hour of recovery sleep, and their origin and physiological significance remain unclear. It has recently been suggested, however, that prolonged wakefulness results in stronger cortico-cortical connections, which in turn would drive greater neuronal synchronization during sleep, leading to increased EEG power across all frequencies . In sparrows, the increase in EEG power in the spindle frequency range (12–16 Hz) is especially intriguing, because spindles were not detected by visual scoring. In mammals, spindles and SWA reflect different but related aspects of cortical bistability, because they are thought to reflect the up states and the down states of the slow oscillation, respectively [46, 47]. It is currently unknown whether this is also true in sparrows.
In mammals, sleep deprivation is followed not only by an increase in SWA, but also by an increase in the duration of sleep episodes and a decrease in the number of brief awakenings [37–39]. Human studies show that SWA during NREM sleep is mainly determined by the prior history of sleep and wakefulness and not by circadian mechanisms [48, 49]. The evidence for the other markers of sleep consolidation is more limited, but suggests instead that both homeostatic and circadian factors are important . As shown in Figure 6, when the first hour of recovery sleep was compared to the first hour of baseline sleep we found trends similar to those described in the mammalian literature (longer sleep episodes, fewer brief awakenings after sleep deprivation). However, when these behavioral measures were compared at the same time of day, changes were either no longer present (duration of NREM sleep episodes), or in the opposite direction (the number of brief awakenings increased after sleep deprivation). Thus, the current data show clear evidence for a post-sleep deprivation increase in sleep intensity as measured by SWA, while the evidence using other markers of sleep consolidation is mixed.
A previous report in the pigeon failed to identify increases in SWA following 24 hours of sleep deprivation , although a significant decline in waking duration following sleep deprivation was reported, suggesting that sleep pressure was indeed higher after the deprivation. As mentioned before, increased sleep pressure following deprivation may be discharged as an increase in sleep duration and/or intensity, and the duration of the deprivation may affect one parameter more than another. Thus, it is possible that the lack of a SWA rebound in the pigeon was due to the relatively long sleep deprivation procedure used in that study (24 hours). In rats, if wakefulness is enforced more than 12–24 hours, a significant amount of NREM may "leak" into the sleep deprivation period . This raises the possibility that the pigeon was able to obtain significant amounts of SWA during the 24-hour deprivation, either through drowsiness or through local sleep within select neuronal populations. Furthermore, is worth noting that in our study the most significant effects of sleep loss on SWA were seen when we looked specifically at peak SWA or using high temporal resolution (10-min bins), which was not done in the pigeon study . Further support for the idea of SWA leakage during prolonged sleep loss is provided by an early study of sleep deprivation using constant light in the pigeon . The authors reported a near elimination of sleep for more than 10 days, with no subsequent increases in either total sleep time or SWA during recovery sleep. Based on these data, they concluded that pigeons do not show a mammalian-like compensatory rebound in SWA following sleep deprivation. However, the overall SWA was actually preserved across the entire sleep deprivation period in constant light, which may provide a reasonable explanation of why no rebound in SWA occurred during recovery sleep. Sleep restriction paradigms that preserve the overall 24-hour SWA amount are similarly not followed by SWA rebound . Thus, SWA rebound is observed during recovery sleep after short but not after long sleep deprivation most likely because only the latter forces SWA to intrude into waking during the sleep deprivation period. In agreement with this interpretation, a recent report of recovery sleep in pigeons following short-term sleep deprivation (8 hours) shows that, like in sparrows, SWA does increase during recovery sleep relative to baseline sleep .
During the migratory season, captive white-crowned sparrows reduced nocturnal sleep by ~60%, with no evidence of increased SWA in the small amount of nocturnal sleep they do obtain . Remarkably, despite this sleep loss, migrating birds remained capable of engaging in adaptive waking behaviors . The preservation of performance and motivation during the migratory period suggests that migrants may have evolved adaptations to combat the negative consequences of sleep loss, or that natural selection may have promoted alternative mechanisms for sleep-loss compensation. Interestingly, during the migratory period, a significant increase in daytime drowsiness, as well as a trend toward an increase in nocturnal drowsiness was reported . Although spectral analysis of nocturnal sleep was performed, no quantitative analysis of drowsiness was possible. The present findings suggest that short episodes of drowsiness are associated with a significant amount of EEG activity in the SWA range. Thus, it is possible that daytime drowsiness offers sufficient recuperative opportunities for the migratory white-crowned sparrow, while at the same time only marginally increasing the risk of predation. Interestingly, mammals that exhibit large amounts of drowsiness, such as ungulates, typically show reduced quantities of SWS, lending support to the idea that drowsiness can partially compensate for SWS . A quantitative analysis of the EEG during migration will help address this issue definitively.
The current study shows that in the white-crowned sparrow, as in all mammals studied to date, extending the period of wakefulness leads to compensatory increases in sleep intensity as measured by SWA during the subsequent sleep period. Since SWA homeostasis is thought to reflect sleep need and thus is a window on sleep function, these data may suggest that at least one fundamental function of sleep is conserved across species.
White-crowned sparrows were captured in their wintering grounds in the Sacramento valley in California (lat 39°00' N, long 122°00' E) in March 2005. All birds were collected using mist nets under the authority of a United States Fish and Wildlife Service permit. Birds were transported to the University of Wisconsin-Madison where they were individually housed in galvanized wire cages (L: 35 cm × W: 25 cm × H: 32 cm) in environmentally controlled rooms (40% relative humidity). Each bird was in visual and auditory contact with other birds in the room. The colony was exposed to photoperiodic conditions designed to simulate seasonal lighting changes. As a result of the fluctuating photoperiod, in the 14 days following surgery, birds were exposed to photoperiods ranging from 10:25; 13:75 light: dark (LD) to 10:00;14:00 LD. On the deprivation and recovery days light onset was at 07:30 and light offset at 17:30. Illuminance during the light phase was 560–640 lux measured at the level of the cage floor. Illuminance during the dark phase was less than 0.5 lux. Birds were fed a mixed-seed and provided water ad libitum, and their diet was supplemented daily with lettuce, dried insects, live mealworms, and grit. Six adult white-crowned sparrows were randomly selected from our captive population and surgically instrumented for chronic EEG recording. Since male and female white-crowned sparrows are not morphologically distinct, gender matching was not possible. Gender determination was made after death and shown to consist of 4 males and 2 females.
Surgical procedures were performed under isoflurane anesthesia (1.0%–3.5% isoflurane with 500 ml/min O2). The bird's head was stabilized in a stereotaxic device (Kopf Instruments, Tujunga, California, United States), cranial feathers were removed and an incision was made along the midline of the head to expose the cranium. Six small holes were drilled through the cranium to the dura: four holes for EEG electrodes, one for a reference electrode, and one for the ground electrode. Two holes were drilled on each hemisphere of the anterior forebrain 2 mm lateral to the midline over the hyperpallium (Wulst). Two additional holes were drilled 2 mm posterior to the anterior holes so that signal was recorded from both the anterior and posterior hyperpallium. Two holes were positioned over the midline of the cerebellum to accommodate the common reference electrode and the ground. Teflon insulated stainless steel electrodes (#791400, A-M Systems Sequim, Washington, United States) were inserted through the holes to the level of the dura and held in place with surgical glue. Each electrode was connected to a lightweight, flexible, and electrically shielded recording cable (Dragonfly, Ridgeley, West Virginia, United States). The cable was attached to the skull using dental acrylic (Justi Products, Oxnard, California, United States), and the incision was closed around the acrylic with surgical adhesive (Tissuemend II, Veterinary Products Laboratories, Phoenix, Arizona, United States). Following surgery, each bird was placed in the recording cage (L: 35 cm × W: 25 cm × H: 32 cm) for at least 14 days of postoperative recovery and adaptation to the recording cable. The recording cable was attached to a low-torque, six-channel mercury commutator (Dragonfly) designed for use with small birds. Under these conditions birds were able to move unimpeded throughout the cage.
Six birds were sleep deprived for six hours starting at dark onset. Throughout the sleep deprivation period, birds were never handled; walking quietly past the cages was sufficient to maintain vigilant wakefulness for the 6-hour period. To diminish the effects of stress, birds were acclimated to this procedure for 30 minutes every day during the week preceding the experimental day. In addition to electrophysiological recordings, behavior was also continuously recorded using 16 infrared-sensitive cameras (two per bird) connected to a digital video storage system (Salient Systems, Austin, Texas, United States). Infrared illuminators provided lighting for the cameras during the dark phase. Animal protocols followed the National Institutes of Health Guide for the Care and Use of Laboratory Animals and were in accordance with institutional guidelines.
EEG acquisition and power spectrum analysis
EEG signals were obtained from two anterior and two posterior EEG channels for each bird during a 24-hour baseline day, a 6-hour sleep deprivation period starting at dark onset, and an 8-hour recovery period. Of the 4 available EEG derivations for each animal, the one with the smallest number of artifacts was selected for spectral analysis (left anterior n = 4, right anterior n = 1, left posterior n = 1). EEG signals were amplified, and band-pass filtered (0.1- to 30 Hz, additional notch filter was set at 60 Hz), using Grass-Telefactor amplifiers (model 12 Neurodata and 7P511, Grass-Telefactor, West Warwick, Rhode Island, United States), digitized at 1000 Hz, decimated to 100 Hz, and visualized using Somnologica 3 software (Medcare, Reykjavik, Iceland). EEG power spectra were computed for 4-sec epochs by a fast Fourier transform (FFT) routine (Hanning window, 0.25 Hz resolution) within the frequency range of 0.5–25.0 Hz. Differences were tested with ANOVA for repeated measures and two-tailed paired t-tests. For data and signal analysis the software package MATLAB (The Math Works, Inc., Natick, MA, USA) was used. Epochs that were scored but contained EEG artifacts were marked and omitted from further analysis of the spectra (number of artifacts during baseline, expressed as percentage of total 24-hour recording time: 46.5 ± 3.8% of recording time; more than 93% were waking artifacts). Differences in EEG spectra between baseline and recovery periods were tested with two-way ANOVA's for repeated measures. Contrasts were tested by post hoc two-tailed t-tests (for equal variances)
Vigilance state scoring
Vigilance states were scored in 4-sec epochs using both EEG and behavioral recordings, and categorized as either wakefulness, drowsiness, SWS, or REM sleep. Because in birds nuchal muscle activity does not show a consistent or appreciable reduction in amplitude during REM sleep [29, 31, 32], we chose to rely on video monitoring of behavioral state to aid in the differentiation between REM and waking. Initial assessments of vigilance state were made based on visual inspection of the EEG as well as by analysis of recorded behavior using the following criteria. Wakefulness was characterized by a high-frequency low-amplitude EEG in both hemispheres. Behavior during wakefulness included hopping and flying around the cage, feeding, drinking, feather preening, and actively scanning the room. During drowsiness EEG activity was intermediate between that of wakefulness and SWS sleep (i.e., increased amplitude in the low-frequency range relative to wakefulness). During the drowsy state, birds held their heads close to their bodies, and the position of the eyelids fluctuated between open, partially closed, and completely closed states. During SWS sleep, EEG activity was dominated by slow waves of the highest amplitude. Behaviorally birds were motionless, with closed eyes; the head was either pulled in toward the body and facing forward or resting on the bird's back. A 4-sec epoch was scored as REM sleep if for > 2 sec the EEG amplitude was reduced by at least one-half the amplitude seen in the previous SWS episode and this amplitude reduction was accompanied by behavioral signs of REM including muscle hypotonia (feather or head drooping) or, rarely, eye movements.
fast Fourier transform
- NREM sleep:
non-rapid eye movement sleep
- REM sleep:
rapid eye movement sleep
slow wave activity
slow wave sleep
This work was supported by Swiss National Science Foundation grant PBZHB-106264 (VVV), NIH RO1-MH071874 (RMB), and NIH Director's Pioneer Award (GT).
- Borbely AA: A two process model of sleep regulation. Human Neurobiology. 1982, 1: 195-204.PubMedGoogle Scholar
- Borbely AA, Tobler I, Hanagasioglu M: Effect of sleep deprivation on sleep and EEG power spectra in the rat. Behav Brain Res. 1984, 14 (3): 171-182. 10.1016/0166-4328(84)90186-4.View ArticlePubMedGoogle Scholar
- Tobler I, Jaggi K: Sleep and EEG spectra in the Syrian hamster (Mesocricetus auratus) under baseline conditions and following sleep deprivation. J Comp Physiol [A]. 1987, 161 (3): 449-459. 10.1007/BF00603970.View ArticleGoogle Scholar
- Achermann P, Dijk DJ, Brunner DP, Borbély AA: A model of human sleep homeostasis based on EEG slow-wave activity: quantitative comparison of data and simulations. Brain Res Bull. 1993, 31 (1-2): 97-113. 10.1016/0361-9230(93)90016-5.View ArticlePubMedGoogle Scholar
- Dijk DJ, Daan S: Sleep EEG spectral analysis in a diurnal rodent: Eutamias sibiricus. J Comp Physiol [A]. 1989, 165 (2): 205-215. 10.1007/BF00619195.View ArticleGoogle Scholar
- Tobler I, Franken P, Jaggi K: Vigilance states, EEG spectra, and cortical temperature in the guinea pig. American Journal of Physiology. 1993, 264 (6 Pt 2): R1125-32.PubMedGoogle Scholar
- Huber R, Deboer T, Tobler I: Effects of sleep deprivation on sleep and sleep EEG in three mouse strains: empirical data and simulations. Brain Res. 2000, 857 (1-2): 8-19. 10.1016/S0006-8993(99)02248-9.View ArticlePubMedGoogle Scholar
- Tobler I: Phylogeny of sleep regulation. Principles and Practice of Sleep Medicine. Edited by: M.H. Kryger TRWCD. 2005, Philadelphia , Elsevier Saunders, 77-90. FourthView ArticleGoogle Scholar
- Vyazovskiy V, Borbely AA, Tobler I: Unilateral vibrissae stimulation during waking induces interhemispheric EEG asymmetry during subsequent sleep in the rat. J Sleep Res. 2000, 9 (4): 367-371. 10.1046/j.1365-2869.2000.00230.x.View ArticlePubMedGoogle Scholar
- Vyazovskiy VV, Welker E, Fritschy JM, Tobler I: Regional pattern of metabolic activation is reflected in the sleep EEG after sleep deprivation combined with unilateral whisker stimulation in mice. Eur J Neurosci. 2004, 20 (5): 1363-1370. 10.1111/j.1460-9568.2004.03583.x.View ArticlePubMedGoogle Scholar
- Vyazovskiy VV, Ruijgrok G, Deboer T, Tobler I: Running wheel accessibility affects the regional electroencephalogram during sleep in mice. Cereb Cortex. 2006, 16 (3): 328-336. 10.1093/cercor/bhi110.View ArticlePubMedGoogle Scholar
- Schwierin B, Achermann P, Deboer T, Oleksenko A, Borbely AA, Tobler I: Regional differences in the dynamics of the cortical EEG in the rat after sleep deprivation. Clin Neurophysiol. 1999, 110 (5): 869-875. 10.1016/S1388-2457(99)00020-6.View ArticlePubMedGoogle Scholar
- Kattler H, Dijk DJ, Borbely AA: Effect of unilateral somatosensory stimulation prior to sleep on the sleep EEG in humans. J Sleep Res. 1994, 3 (3): 159-164.View ArticlePubMedGoogle Scholar
- Huber R, Deboer T, Tobler I: Topography of EEG dynamics after sleep deprivation in mice. J Neurophysiol. 2000, 84 (4): 1888-1893.PubMedGoogle Scholar
- Huber R, Ghilardi MF, Massimini M, Tononi G: Local sleep and learning. Nature. 2004, 430 (6995): 78-81. 10.1038/nature02663.View ArticlePubMedGoogle Scholar
- Huber R, Ghilardi MF, Massimini M, Ferrarelli F, Riedner BA, Peterson MJ, Tononi G: Arm immobilization causes cortical plastic changes and locally decreases sleep slow wave activity. Nat Neurosci. 2006Google Scholar
- Tononi G, Cirelli C: Sleep function and synaptic homeostasis. Sleep Med Rev. 2006, 10 (1): 49-62. 10.1016/j.smrv.2005.05.002.View ArticlePubMedGoogle Scholar
- Rattenborg NC, Amlaner CJ: Phylogeny of sleep. Sleep medicine. Edited by: Lee-Chiong TL, Sateia MJ, Carskadon MA. 2002, Philadelphia , Hanley & Belfus, Inc., 7-22.Google Scholar
- Amlaner CJ, Ball NJ: Avian sleep. Principles and practice of sleep medicine. Edited by: Kryger MH, Roth T, Dement WC. 1994, Philadelphia , W.B. Saunders Company, 81-94. 2ndGoogle Scholar
- Fuchs T, Siegel JJ, Burgdorf J, Bingman VP: A selective serotonin reuptake inhibitor reduces REM sleep in the homing pigeon. Physiol Behav. 2006, 87 (3): 575-581. 10.1016/j.physbeh.2005.12.003.View ArticlePubMedGoogle Scholar
- Szymczak JT: Distribution of sleep and wakefulness in 24-h light-dark cycles in the juvenile and adult magpie, Pica pica. Chronobiologia. 1987, 14 (3): 277-287.PubMedGoogle Scholar
- Paredes SD, Terron MP, Cubero J, Valero V, Barriga C, Reiter RJ, Rodriguez AB: Comparative study of the activity/rest rhythms in young and old ringdove (Streptopelia risoria): correlation with serum levels of melatonin and serotonin. Chronobiol Int. 2006, 23 (4): 779-793. 10.1080/07420520600827145.View ArticlePubMedGoogle Scholar
- Deregnaucourt S, Mitra PP, Feher O, Pytte C, Tchernichovski O: How sleep affects the developmental learning of bird song. Nature. 2005, 433 (7027): 710-716. 10.1038/nature03275.View ArticlePubMedGoogle Scholar
- Dave AS, Margoliash D: Song replay during sleep and computational rules for sensorimotor vocal learning. Science. 2000, 290 (5492): 812-816. 10.1126/science.290.5492.812.View ArticlePubMedGoogle Scholar
- Rattenborg NC, Mandt BH, Obermeyer WH, Winsauer PJ, Huber R, Wikelski M, Benca RM: Migratory sleeplessness in the white-crowned sparrow (Zonotrichia leucophrys gambelii). PLoS Biol. 2004, 2 (7): E212-10.1371/journal.pbio.0020212.PubMed CentralView ArticlePubMedGoogle Scholar
- Cirelli C, Gutierrez CM, Tononi G: Extensive and divergent effects of sleep and wakefulness on brain gene expression. Neuron. 2004, 41 (1): 35-43. 10.1016/S0896-6273(03)00814-6.View ArticlePubMedGoogle Scholar
- Mackiewicz M, Shockley KR, Romer MA, Galante RJ, Zimmerman JE, Naidoo N, Baldwin DA, Jensen ST, Churchill GA, Pack AI: Macromolecule biosynthesis - a key function of sleep. Physiol Genomics. 2007Google Scholar
- Jones S, Pfister-Genskow M, Benca RM, Cirelli C: Molecular correlates of sleep and wakefulness in the brain of the white-crowned sparrow. J Neurochem. 2008, 105 (1): 46-62. 10.1111/j.1471-4159.2007.05089.x.View ArticlePubMedGoogle Scholar
- van Luijtelaar EL, van der Grinten CP, Blokhuis HJ, Coenen AM: Sleep in the domestic hen (Gallus domesticus). Physiol Behav. 1987, 41 (5): 409-414. 10.1016/0031-9384(87)90074-6.View ArticlePubMedGoogle Scholar
- Szymczak JT, Kaiser W, Helb HW, Beszczynska B: A study of sleep in the European blackbird. Physiol Behav. 1996, 60 (4): 1115-1120. 10.1016/0031-9384(96)00231-4.View ArticlePubMedGoogle Scholar
- Tobler I, Borbély AA: Sleep and EEG spectra in the pigeon (Columba livia) under baseline conditions and after sleep deprivation. Journal of Comparative Physiology A. 1988, 163: 729-738. 10.1007/BF00604050.View ArticleGoogle Scholar
- Szymczak JT, Helb HW, Kaiser W: Electrophysiological and behavioral correlates of sleep in the blackbird (Turdus merula). Physiol Behav. 1993, 53 (6): 1201-1210. 10.1016/0031-9384(93)90380-X.View ArticlePubMedGoogle Scholar
- Ayala-Guerrero F, Vasconcelos-Duenas I: Sleep in the dove Zenaida asiatica. Behav Neural Biol. 1988, 49 (2): 133-138. 10.1016/S0163-1047(88)90451-7.View ArticlePubMedGoogle Scholar
- Ayala-Guerrero F, Mexicano G, Ramos JI: Sleep characteristics in the turkey Meleagris gallopavo. Physiol Behav. 2003, 78 (3): 435-440. 10.1016/S0031-9384(03)00032-5.View ArticlePubMedGoogle Scholar
- Szymczak JT: Daily distribution of sleep states in the jackdaw, Corvus monedula. Chronobiologia. 1986, 13 (3): 227-235.PubMedGoogle Scholar
- Szymczak JT: Sleep pattern in the rook, Corvus frugilegus. Acta Physiol Pol. 1986, 37 (4-5): 191-198.PubMedGoogle Scholar
- Franken P, Dijk DJ, Tobler I, Borbely AA: Sleep deprivation in the rat: effects of electroencephalogram power spectra, vigilance states, and cortical temperature. American Journal of Physiology. 1991, 261: R198-208.PubMedGoogle Scholar
- Trachsel L, Tobler I, Achermann P, Borbely AA: Sleep continuity and the REM-nonREM cycle in the rat under baseline conditions and after sleep deprivation. Physiology and Behavior. 1991, 49 (3): 575-580. 10.1016/0031-9384(91)90283-T.View ArticlePubMedGoogle Scholar
- Tobler I, Franken P: Sleep homeostasis in the guinea pig: similar response to sleep deprivation in the light and dark period. Neurosci Lett. 1993, 164 (1-2): 105-108. 10.1016/0304-3940(93)90868-L.View ArticlePubMedGoogle Scholar
- Rattenborg NC, Amlaner CJ, Lima SL: Behavioral, neurophysiological and evolutionary perspectives on unihemispheric sleep. Neurosci Biobehav Rev. 2000, 24 (8): 817-842. 10.1016/S0149-7634(00)00039-7.View ArticlePubMedGoogle Scholar
- Rattenborg NC, Lima SL, Amlaner CJ: Half-awake to the risk of predation. Nature. 1999, 397: 397-398. 10.1038/17037.View ArticleGoogle Scholar
- Rattenborg NC, Amlaner CJ, Lima SL: Unihemispheric slow-wave sleep and predator detection in the pigeon (Columba livia). Sleep. 2000, 23 (suppl. 1): A43-44.Google Scholar
- Tobler I, Borbély AA: Sleep EEG in the rat as a function of prior waking. Electroenceph clin Neurophysiol. 1986, 64 (1): 74-76. 10.1016/0013-4694(86)90044-1.View ArticlePubMedGoogle Scholar
- Tobler I, Borbely AA: The effect of 3-h and 6-h sleep deprivation on sleep and EEG spectra of the rat. Behavioral Brain Research. 1990, 36 (1-2): 73-78. 10.1016/0166-4328(90)90161-7.View ArticleGoogle Scholar
- Newman SM, Paletz EM, Rattenborg NC, Obermeyer WH, Benca RM: Sleep deprivation in the pigeon using the Disk-Over-Water method. Physiol Behav. 2008, 93 (1-2): 50-58. 10.1016/j.physbeh.2007.07.012.View ArticlePubMedGoogle Scholar
- Steriade M, Nunez A, Amzica F: A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components. J Neurosci. 1993, 13 (8): 3252-3265.PubMedGoogle Scholar
- Steriade M, Timofeev I, Grenier F: Natural waking and sleep states, a view from inside neocortical neurons. Journal of Neurophysiology. 2001, 85: 1969-1985.PubMedGoogle Scholar
- Dijk DJ, Beersma DG, Daan S: EEG power density during nap sleep: reflection of an hourglass measuring the duration of prior wakefulness. Journal of Biological Rhythms. 1987, 2 (3): 207-219. 10.1177/074873048700200304.View ArticlePubMedGoogle Scholar
- Dijk DJ, Lockley SW: Integration of human sleep-wake regulation and circadian rhythmicity. J Appl Physiol. 2002, 92 (2): 852-862.View ArticlePubMedGoogle Scholar
- Akerstedt T, Hume K, Minors D, Waterhouse J: Experimental separation of time of day and homeostatic influences on sleep. Am J Physiol. 1998, 274 (4 Pt 2): R1162-8.PubMedGoogle Scholar
- Cirelli C, Tononi G: Sleep deprivation: basic science, physiology, and behavior. Edited by: Kushida CA. 2005, New York, NY , Marcel Dekker, 192: 63-79. Total sleep deprivation, Lung biology in health and disease.Google Scholar
- Berger RJ, Phillips NH: Constant light suppresses sleep and circadian rhythms in pigeons without consequent sleep rebound in darkness. Am J Physiol. 1994, 267 (4 Pt 2): R945-52.PubMedGoogle Scholar
- Kim Y, Laposky AD, Bergmann BM, Turek FW: Repeated sleep restriction in rats leads to homeostatic and allostatic responses during recovery sleep. Proc Natl Acad Sci U S A. 2007, 104 (25): 10697-10702. 10.1073/pnas.0610351104.PubMed CentralView ArticlePubMedGoogle Scholar
- Martinez-Gonzalez D, Lesku JA, Rattenborg NC: Increased EEG spectral power density during sleep following short-term sleep deprivation in pigeons (Columba livia): evidence for avian sleep homeostasis. J Sleep Res. 2008Google Scholar
- Horne J: Why We Sleep The Functions of Sleep in Humans and Other Mammals. 1988, Oxford , Oxford University PressGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.