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The commonly used volatile anesthetic sevoflurane has been shown to induce widespread apoptosis in the developing brain, yet the underlying molecular mechanisms are not fully understood. Accumulating research has demonstrated that long noncoding RNAs (lncRNAs) regulate multiple biological processes, including neural development, differentiation and apoptosis. They are aberrantly expressed in multiple neurodegenerative diseases. In this study, we employed a lncRNA-mRNA microarray analysis to determine whether and how lncRNAs are involved in sevoflurane-induced hippocampal neuronal apoptosis in neonatal mice. Our data showed that a single 6-h sevoflurane exposure of P7 mice resulted in significant morphological changes and apoptosis in the hippocampus. Moreover, the microarray simultaneously revealed 817 lncRNAs and 856 of their potential coding targets that related to apoptosis, of which 31 lncRNAs (19 up and 12 down) and 25 mRNAs were significantly differentially expressed (P < 0.05) after sevoflurane exposure. Importantly, we found that Bcl2l11 (BIM), which potentiates mitochondria-dependent apoptosis and its nearby enhancer-like lncRNA ENSMUST00000136025, were both more highly expressed in sevoflurane-treated samples compared with control samples. Subsequent qRT-PCR results confirmed the changes. Further CNC network indicated that lncRNA ENSMUST00000136025 was positively correlated with Bim. Moreover, sevoflurane induced a significant increase of pro-apoptotic protein BIM and Bax but a reduction of anti-apoptotic proteins Bcl-2 in the hippocampus. Our study first demonstrates that aberrantly expressed lncRNAs play a role in sevoflurane-induced hippocampal apoptosis. We noted that up-regulated ENSMUST00000136025 highly likely induced the over-expression of BIM, which eventually promoted mitochondria-mediated apoptosis. Such findings further broaden the understanding of molecular mechanisms responsible for sevoflurane-induced neurotoxicity.

We propose a new method of studying the correlation between neuronal spike trains. This technique is based on the analysis of relative phase between two point processes. Relative phase here is defined as the relative timing difference between two spike trains normalized by the associated interspike interval of one cell. This phase measurement is intended to reveal the relative timing relationship between spike trains at different firing rates. We apply this method to a numerical example and an example from two cerebellar neuronal spike trains of a behaving rat. The results are compared with classical cross-correlation analysis. We show that the technique can avoid some of the limitations of cross-correlation methods, reveal certain statistical dependencies that cannot be shown by cross correlation, and provide information as to the direction of influence between two spike trains.

Background: Sleep deprivation (SD) often leads to complex detrimental consequences, though the mechanisms underlying these dysfunctional effects remain largely unknown. We investigated whether the right stellate ganglion block in rats can improve the spatial learning and memory dysfunction induced by sleep deprivation by alleviating the damage of hippocampus in rats. Methods: Sixty four male Sprague Dawley rats were randomly divided into four groups: Control, SD (sleep deprivation), SGB (stellate ganglion block) and SGB + SD (stellate ganglion block+ sleep deprivation) (n = 16). The SGB and SD + SGB groups were subjected to right stellate ganglion block through posterior approach method once per day. SD and SD + SGB groups were treated with modified multi-platform water environment method for 96 h sleep deprivation in rats and their body weights were analyzed. Histopathological changes of hippocampal neurons in rats and the expression of Caspase-3 in hippocampus of rats was detected by western blotting. ELISA was used to detect the content of IL-6, IL-1 in hippocampus and serum melatonin levels. Results: Compared with the group SD, the spatial learning and memory function of the group SD + SGB was improved, the weight loss was alleviated, the pathological damage of the hippocampus was reduced and the expression of IL-6, IL-1β and Caspase-3 in the hippocampus was decreased. The content of rat serum melatonin was also increased. Conclusions: The right stellate ganglion block can improve the spatial learning and memory dysfunction of rats with sleep deprivation, and the underlying mechanism may be related to alleviating the apoptosis and inflammation of hippocampus of rats with sleep deprivation. [ABSTRACT FROM AUTHOR]

Mental imagery occurs “when a representation of the type created during the initial phases of perception is present but the stimulus is not actually being perceived.” How does the capability to perform mental imagery arise? Extending the idea that imagery arises from learned associations, we propose that mental rotation, a specific form of imagery, could arise through the mechanism of sequence learning–that is, by learning to regenerate the sequence of mental images perceived while passively observing a rotating object. To demonstrate the feasibility of this proposal, we constructed a simulated nervous system and embedded it within a behaving humanoid robot. By observing a rotating object, the system learns the sequence of neural activity patterns generated by the visual system in response to the object. After learning, it can internally regenerate a similar sequence of neural activations upon briefly viewing the static object. This system learns to perform a mental rotation task in which the subject must determine whether two objects are identical despite differences in orientation. As with human subjects, the time taken to respond is proportional to the angular difference between the two stimuli. Moreover, as reported in humans, the system fills in intermediate angles during the task, and this putative mental rotation activates the same pathways that are activated when the system views physical rotation. This work supports the proposal that mental rotation arises through sequence learning and the idea that mental imagery aids perception through learned associations, and suggests testable predictions for biological experiments. [ABSTRACT FROM AUTHOR]

We propose a new method of studying the correlation between neuronal spike trains. This technique is based on the analysis of relative phase between two point processes. Relative phase here is defined as the relative timing difference between two spike trains normalized by the associated interspike interval of one cell. This phase measurement is intended to reveal the relative timing relationship between spike trains atdifferent firing rates. We apply this method to a numerical example and an example from two cerebellar neuronal spike trains of a behaving rat. The results are compared with classical cross-correlation analysis. We show that the technique can avoid some of the limitations of cross-correlation methods, reveal certain statistical dependencies that cannot be shown by cross correlation, and provide information as to the direction of influence between two spike trains. [ABSTRACT FROM AUTHOR]