Comments on evolution of sleep and the palliopallial connectivity in mammals and birds

Low-frequency electroencephalogram oscillations govern left-eye lateralization during anti-predatory responses in the music frog

Visual lateralization is widespread for prey and anti-predation in numerous taxa. However, it is still unknown how the brain governs this asymmetry. In this study, we conducted behavioral and electrophysiological experiments to evaluate anti-predatory behaviors and dynamic brain activities in Emei music frogs (Nidirana daunchina), to explore the potential eye bias for anti-predation and the underlying neural mechanisms. To do this, predator stimuli (a model snake head and a leaf as a control) were moved around the subjects in clockwise and anti-clockwise directions at steady velocity. We counted the number of anti-predatory responses and measured electroencephalogram (EEG) power spectra for each band and brain area (telencephalon, diencephalon and mesencephalon). Our results showed that (1) no significant eye preferences could be found for the control (leaf); however, the laterality index was significantly lower than zero when the predator stimulus was moved anti-clockwise, suggesting that left-eye advantage exists in this species for anti-predation; (2) compared with no stimulus in the visual field, the power spectra of delta and alpha bands were significantly greater when the predator stimulus was moved into the left visual field anti-clockwise; and, (3) generally, the power spectra of each band in the right-hemisphere for the left visual field were higher than those in the left counterpart. These results support that the left eye mediates the monitoring of a predator in music frogs and lower-frequency EEG oscillations govern this visual lateralization.

Sleep as spatiotemporal integration of biological processes that evolved to periodically reinforce neurodynamic and metabolic homeostasis: The 2m3d paradigm of sleep

Sleep continues to perplex scientists and researchers. Despite decades of sleep research, we still lack a clear understanding of the biological functions and evolution of sleep. In this review, we will examine sleep from a functional and phylogenetic perspective and describe some important conceptual gaps in understanding sleep. Classical theories of the biology and evolution of sleep emphasize sensory activation, energy balance, and metabolic homeostasis. Advances in electrophysiology, functional neuroimaging, and neuroplasticity allow us to view sleep within the framework of neural dynamics. With this paradigm shift, we have come to realize the importance of neurodynamic homeostasis in shaping the biology of sleep. Evidently, animals sleep to achieve neurodynamic and metabolic homeostasis. We are not aware of any framework for understanding sleep where neurodynamic, metabolic, homeostatic, chronophasic, and afferent variables are all taken into account. This motivated us to propose the two-mode three-drive (2m3d) paradigm of sleep. In the 2m3d paradigm, local neurodynamic/metabolic (N/M) processes switch between two modes-m0 and m1-in response to three drives-afferent, chronophasic, and homeostatic. The spatiotemporal integration of local m0/m1 operations gives rise to the global states of sleep and wakefulness. As a framework of evolution, the 2m3d paradigm allows us to view sleep as a robust adaptive strategy that evolved so animals can periodically reinforce neurodynamic and metabolic homeostasis while remaining sensitive to their internal and external environment.

Slow waves, sharp waves, ripples, and REM in sleeping dragons

Sleep has been described in animals ranging from worms to humans. Yet the electrophysiological characteristics of brain sleep, such as slow-wave (SW) and rapid eye movement (REM) activities, are thought to be restricted to mammals and birds. Recording from the brain of a lizard, the Australian dragon Pogona vitticeps, we identified SW and REM sleep patterns, thus pushing back the probable evolution of these dynamics at least to the emergence of amniotes. The SW and REM sleep patterns that we observed in lizards oscillated continuously for 6 to 10 hours with a period of ~80 seconds. The networks controlling SW-REM antagonism in amniotes may thus originate from a common, ancient oscillator circuit. Lizard SW dynamics closely resemble those observed in rodent hippocampal CA1, yet they originate from a brain area, the dorsal ventricular ridge, that has no obvious hodological similarity with the mammalian hippocampus.

Electroencephalographic signals synchronize with behaviors and are sexually dimorphic during the light-dark cycle in reproductive frogs

Male frogs behave differently from females during the breeding season, particularly with respect to courtship displays and in response to mating signals. In search of physiological correlates of these differences, the present study measured changes in baseline electroencephalogram (EEG) power output within four frequency bands in the telencephalon and mesencephalon, together with changes in locomotor activity as a function of the light-dark cycle in male and female Emei music frogs (Babina daunchina) at the reproductive stage. Previous studies have shown that male vocal activity varies both seasonally and daily in this species and that females use male advertisement calls to locate and select mates. The present results show that both EEG and locomotor activity exhibit highly correlated circadian patterns with peaks around light onset and offset. Importantly, during the reproductive stage, statistically significant sex differences in EEG output across brain regions during the light and dark phases were found indicating that sexual dimorphism exists for EEG activity which may underlie sexually specific information processing and behavioral activities.

EEG delta oscillations as a correlate of basic homeostatic and motivational processes

Functional significance of delta oscillations is not fully understood. One way to approach this question would be from an evolutionary perspective. Delta oscillations dominate the EEG of waking reptiles. In humans, they are prominent only in early developmental stages and during slow-wave sleep. Increase of delta power has been documented in a wide array of developmental disorders and pathological conditions. Considerable evidence on the association between delta waves and autonomic and metabolic processes hints that they may be involved in integration of cerebral activity with homeostatic processes. Much evidence suggests the involvement of delta oscillations in motivation. They increase during hunger, sexual arousal, and in substance users. They also increase during panic attacks and sustained pain. In cognitive domain, they are implicated in attention, salience detection, and subliminal perception. This evidence shows that delta oscillations are associated with evolutionary old basic processes, which in waking adults are overshadowed by more advanced processes associated with higher frequency oscillations. The former processes rise in activity, however, when the latter are dysfunctional.

Response to commentary on evolution of slow-wave sleep and palliopallial connectivity in mammals and birds: a hypothesis

Mammals and birds are the only animals that exhibit high-amplitude slow-waves (SWs) in the electroencephalogram during sleep. The SWs that characterize slow-wave sleep (SWS) in mammals and birds reflect the large-scale synchronization of slow neuronal activity. In mammals, this synchronization is dependent upon the high degree of interconnectivity within the neocortex, a cytoarchitectonic trait also found in the avian hyperpallium, but not the reptilian dorsal cortex. Consequently, I recently proposed that the presence of SWs in sleeping mammals and birds, and their absence in sleeping reptiles, is attributable to the greater degree of interconnectivity within the neocortex and hyperpallium when compared to the dorsal cortex [N.C. Rattenborg, Evolution of slow-wave sleep and palliopallial connectivity in mammals and birds: A hypothesis, Brain Res. Bull. 69 (2006) 20-29]. Rial et al. (this issue) challenge this hypothesis by noting that high-amplitude SWs occur in awake reptiles. Based largely on this observation, they suggest that SWS in homeotherms evolved from reptilian wakefulness. SWs in awake reptiles do not seem to reflect neural processes comparable to those that generate sleep-related SWs in homeotherms, however. Moreover, the proposed conversion of reptilian wakefulness into SWS is untenable from behavioral, mechanistic and functional perspectives. A more parsimonious explanation is that the precursor state to SWS in homeotherms was a state comparable to reptilian sleep, rather than wakefulness, with the primary difference being that the reptilian dorsal cortex lacks the interconnectivity necessary to generate sleep-related SWs in the electroencephalogram.