Deep brain implantable microelectrode arrays for detection and functional localization of the subthalamic nucleus in rats with Parkinson’s disease

The subthalamic nucleus(STN)is considered the best target for deep brain stimulation treatments of Parkinson’s disease(PD).It is difficult to localize the STN due to its small size and deep location.Multichannel microelectrode arrays(MEAs)can rapidly and precisely locate the STN,which is important for precise stimulation.In this paper,16-channel MEAs modified with multiwalled carbon nanotube/poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate)(MWCNT/PEDOT:PSS)nanocomposites were designed and fabricated,and the accurate and rapid identification of the STN in PD rats was performed using detection sites distributed at different brain depths.These results showed that nuclei in 6-hydroxydopamine hydrobromide(6-OHDA)-lesioned brains discharged more intensely than those in unlesioned brains.In addition,the MEA simultaneously acquired neural signals from both the STN and the upper or lower boundary nuclei of the STN.Moreover,higher values of spike firing rate,spike amplitude,local field potential(LFP)power,and beta oscillations were detected in the STN of the 6-OHDA-lesioned brain,and may therefore be biomarkers of STN localization.Compared with the STNs of unlesioned brains,the power spectral density of spikes and LFPs synchronously decreased in the delta band and increased in the beta band of 6-OHDA-lesioned brains.This may be a cause of sleep and motor disorders associated with PD.Overall,this work describes a new cellular-level localization and detection method and provides a tool for future studies of deep brain nuclei.

Ghost-Retina Net:Fast Shadow Detection Method for Photovoltaic Panels Based on Improved Retina Net

Based on the artificial intelligence algorithm of RetinaNet,we propose the Ghost-RetinaNet in this paper,a fast shadow detection method for photovoltaic panels,to solve the problems of extreme target density,large overlap,high cost and poor real-time performance in photovoltaic panel shadow detection.Firstly,the Ghost CSP module based on Cross Stage Partial(CSP)is adopted in feature extraction network to improve the accuracy and detection speed.Based on extracted features,recursive feature fusion structure ismentioned to enhance the feature information of all objects.We introduce the SiLU activation function and CIoU Loss to increase the learning and generalization ability of the network and improve the positioning accuracy of the bounding box regression,respectively.Finally,in order to achieve fast detection,the Ghost strategy is chosen to lighten the size of the algorithm.The results of the experiment show that the average detection accuracy(mAP)of the algorithm can reach up to 97.17%,the model size is only 8.75 MB and the detection speed is highly up to 50.8 Frame per second(FPS),which can meet the requirements of real-time detection speed and accuracy of photovoltaic panels in the practical environment.The realization of the algorithm also provides new research methods and ideas for fault detection in the photovoltaic power generation system.

Impaired Spatial Firing Representations of Neurons in the Medial Entorhinal Cortex of the Epileptic Rat Using Microelectrode Arrays

Epilepsy severely impairs the cognitive behavior of patients.It remains unclear whether epilepsy-induced cognitive impairment is associated with neuronal activities in the medial entorhinal cortex(MEC),a region known for its involvement in spatial cognition.To explore this neural mechanism,we recorded the spikes and local field potentials from MEC neurons in lithium-pilocarpine-induced epileptic rats using self-designed microelectrode arrays.Through the open field test,we identified spatial cells exhibiting spatially selective firing properties and assessed their spatial representations in relation to the progression of epilepsy.Meanwhile,we analyzed theta oscillations and theta modulation in both excitatory and inhibitory neurons.Furthermore,we used a novel object recognition test to evaluate changes in spatial cognitive ability of epileptic rats.After the epilepsy modeling,the spatial tuning of various types of spatial cells had suffered a rapid and pronounced damage during the latent period(1 to 5 d).Subsequently,the firing characteristics and theta oscillations were impaired.In the chronic period(>10 d),the performance in the novel object experiment deteriorated.In conclusion,our study demonstrates the detrimental effect on spatial representations and electrophysiological properties of MEC neurons in the epileptic latency,suggesting the potential use of these changes as a"functional biomarker"for predicting cognitive impairment caused by epilepsy.

Community Incidence Estimates of Five Pathogens Based on Foodborne Diseases Active Surveillance—China,2023

What is already known about this topic?Foodborne diseases,representing significant food safety and public health challenges globally,are not welldocumented in terms of incidence,particularly for cases characterized by acute gastroenteritis(AGI)in China.What is added by this report?This study developed a pyramid model to estimate the incidence of five pathogens,stratified by gender and age.The estimated incidences per 100,000 people with 95%uncertainty intervals(UI)are as follows:Norovirus,3,188.28(95%UI:2,518.03,7,296.96);Salmonella spp.,1,295.59(95%UI:1,002.62,1,573.11);diarrheagenic E.coli(DEC),782.62(95%UI:651.19,932.05);Vibrio parahaemolyticus,404.06(95%UI:342.19,468.93);and Shigella spp.,26.73(95%UI:21.05,33.46).What are the implications for public health practice?This study elucidates the incidence rates across various gender and age groups,thereby identifying priority populations for targeted preventive interventions aimed at reducing disease burden.These insights are crucial for the development of public health policies and management of food safety risks.

Detection of neuronal defensive discharge information transmission and characteristics in periaqueductal gray double-subregions using PtNP/PEDOT:PSS modified microelectrode arrays

Threatened animals respond with appropriate defensive behaviors to survive.It has been accepted that midbrain periaqueductal gray(PAG)plays an essential role in the circuitry system and organizes defensive behavioral responses.However,the role and correlation of different PAG subregions in the expression of different defensive behaviors remain largely unexplored.Here,we designed and manufactured a microelectrode array(MEA)to simultaneously detect the activities of dPAG and vPAG neurons in freely behaving rats.To improve the detection performance of the MEAs,PtNP/PEDOT:PSS nanocomposites were modified onto the MEAs.Subsequently,the predator odor was used to induce the rat’s innate fear,and the changes and information transmission in neuronal activities were detected in the dPAG and vPAG.Our results showed that the dPAG and vPAG participated in innate fear,but the activation degree was distinct in different defense behaviors.During flight,neuronal responses were stronger and earlier in the dPAG than the vPAG,while vPAG neurons responded more strongly during freezing.By applying high-performance MEA,it was revealed that neural information spread from the activated dPAG to the weakly activated vPAG.Our research also revealed that dPAG and vPAG neurons exhibited different defensive discharge characteristics,and dPAG neurons participated in the regulation of defense responses with burst-firing patterns.The slow activation and continuous firing of vPAG neurons cooresponded with the regulation of long-term freezing responses.The results demonstrated the important role of PAG neuronal activities in controlling different aspects of defensive behaviors and provided novel insights for investigating defense from the electrophysiological perspective.

Recent advances and research progress on microsystems and bioeffects of terahertz neuromodulation

Terahertz waves can interact with the nervous system of organisms under certain conditions.Compared to common optical modulation methods,terahertz waves have the advantages of low photon energy and low risk;therefore,the use of terahertz waves to regulate the nervous system is a promising new method of neuromodulation.However,most of the research has focused on the use of terahertz technology for biodetection,while relatively little research has been carried out on the biological effects of terahertz radiation on the nervous system,and there are almost no review papers on this topic.In the present article,we begin by reviewing principles and objects of research regarding the biological effects of terahertz radiation and summarizing the current state of related research from a variety of aspects,including the bioeffects of terahertz radiation on neurons in vivo and in vitro,novel regulation and detection methods with terahertz radiation devices and neural microelectrode arrays,and theoretical simulations of neural information encoding and decoding.In addition,we discuss the main problems and their possible causes and give some recommendations on possible future breakthroughs.This paper will provide insight and assistance to researchers in the fields of neuroscience,terahertz technology and biomedicine.

Grid cell remapping under three-dimensional object and social landmarks detected by implantable microelectrode arrays for the medial entorhinal cortex

Grid cells with stable hexagonal firing patterns in the medial entorhinal cortex(MEC)carry the vital function of serving as a metric for the surrounding environment.Whether this mechanism processes only spatial information or involves nonspatial information remains elusive.Here,we fabricated an MEC-shaped microelectrode array(MEA)to detect the variation in neural spikes and local field potentials of the MEC when rats forage in a square enclosure with a planar,three-dimensional object and social landmarks in sequence.The results showed that grid cells exhibited rate remapping under social conditions in which spike firing fields closer to the social landmark had a higher firing rate.Furthermore,global remapping showed that hexagonal firing patterns were rotated and scaled when the planar landmark was replaced with object and social landmarks.In addition,when grid cells were activated,the local field potentials were dominated by the theta band(5–8 Hz),and spike phase locking was observed at troughs of theta oscillations.Our results suggest the pattern separation mechanism of grid cells in which the spatial firing structure and firing rate respond to spatial and social information,respectively,which may provide new insights into how the brain creates a cognitive map.