[Epidemiological characteristic of viral encephalitis in children and adolescents in Henan Province, 2012-2023].

Objective: To understand the epidemiological characteristics and spatiotemporal distribution of viral encephalitis in children and adolescents in Henan Province from 2012 to 2023. Methods: The information about viral encephalitis cases from October 1, 2012 to July 26, 2023 were collected from Zhengzhou Children's Hospital (National Children's Regional Medical Center),Henan Provincial Children's Hospital for the analyses on temporal distribution the cases, the severe illness rate, age distribution, pathogen type and imaging findings of the cases. Results: A total of 6 276 cases of viral encephalitis were included in this study after excluding cases with incomplete information. The cases mainly originated from Zhengzhou (38.96%), followed by Zhoukou (9.93%), Xuchang (8.68%), Zhumadian (7.90%) and Pingdingshan (7.39%). The cases in boys accounted for 62.13% and the cases in girls accounted for 37.87%. Most cases (72.45%) occurred in age group 7-13 years. The overall rate of severe illness cases was 4.51% from 2012 to 2023. There were significant differences in severe illness cases among different areas and years (χ2=5.33,P=0.021; χ2=48.14,P<0.001). Enteroviruses were mainly detected (31.57%), in which Coxsackie virus was predominant (58.37%). Imaging findings showed that cerebral hemisphere damage was most common in children and adolescents with viral encephalitis (54.93%). Conclusions: From 2012 to 2023, more cases of viral encephalitis occurred in boys in Henan. Children and adolescents aged 7-13 years were the main affected group. The prevention of enteroviruses infection, especially Coxsackie virus, needs to be strengthened. Special attention should be paid to the prevention of cerebral hemisphere damage after viral encephalitis diagnosis.

Organization of an ascending circuit that conveys flight motor state in Drosophila.

Natural behaviors are a coordinated symphony of motor acts that drive reafferent (self-induced) sensory activation. Individual sensors cannot disambiguate exafferent (externally induced) from reafferent sources. Nevertheless, animals readily differentiate between these sources of sensory signals to carry out adaptive behaviors through corollary discharge circuits (CDCs), which provide predictive motor signals from motor pathways to sensory processing and other motor pathways. Yet, how CDCs comprehensively integrate into the nervous system remains unexplored. Here, we use connectomics, neuroanatomical, physiological, and behavioral approaches to resolve the network architecture of two pairs of ascending histaminergic neurons (AHNs) in Drosophila, which function as a predictive CDC in other insects. Both AHN pairs receive input primarily from a partially overlapping population of descending neurons, especially from DNg02, which controls wing motor output. Using Ca2+ imaging and behavioral recordings, we show that AHN activation is correlated to flight behavior and precedes wing motion. Optogenetic activation of DNg02 is sufficient to activate AHNs, indicating that AHNs are activated by descending commands in advance of behavior and not as a consequence of sensory input. Downstream, each AHN pair targets predominantly non-overlapping networks, including those that process visual, auditory, and mechanosensory information, as well as networks controlling wing, haltere, and leg sensorimotor control. These results support the conclusion that the AHNs provide a predictive motor signal about wing motor state to mostly non-overlapping sensory and motor networks. Future work will determine how AHN signaling is driven by other descending neurons and interpreted by AHN downstream targets to maintain adaptive sensorimotor performance.

Comparative connectomics of the descending and ascending neurons of the Drosophila nervous system: stereotypy and sexual dimorphism.

In most complex nervous systems there is a clear anatomical separation between the nerve cord, which contains most of the final motor outputs necessary for behaviour, and the brain. In insects, the neck connective is both a physical and information bottleneck connecting the brain and the ventral nerve cord (VNC, spinal cord analogue) and comprises diverse populations of descending (DN), ascending (AN) and sensory ascending neurons, which are crucial for sensorimotor signalling and control. Integrating three separate EM datasets, we now provide a complete connectomic description of the ascending and descending neurons of the female nervous system of Drosophila and compare them with neurons of the male nerve cord. Proofread neuronal reconstructions have been matched across hemispheres, datasets and sexes. Crucially, we have also matched 51% of DN cell types to light level data defining specific driver lines as well as classifying all ascending populations. We use these results to reveal the general architecture, tracts, neuropil innervation and connectivity of neck connective neurons. We observe connected chains of descending and ascending neurons spanning the neck, which may subserve motor sequences. We provide a complete description of sexually dimorphic DN and AN populations, with detailed analysis of circuits implicated in sex-related behaviours, including female ovipositor extrusion (DNp13), male courtship (DNa12/aSP22) and song production (AN hemilineage 08B). Our work represents the first EM-level circuit analyses spanning the entire central nervous system of an adult animal.