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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Cui, Kunbo Zhao, Mingqi Liu, Di He, Minxin Zhao, Qinglin Hu, Bin School of Information Science and Engineering Lanzhou University Lanzhou China Lanzhou University Key Laboratory of Special Functional Materials and Structural Design Ministry of Education Lanzhou China School of Medical Technology Beijing Institute of Technology Beijing China Cas Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai China Joint Research Center for Cognitive Neurosensor Technology Lanzhou University Institute of Semiconductors Chinese Academy of Sciences Lanzhou China

ISBN: (纸本)9798350386226

Previous studies have shown that the resting-state electroencephalogram (EEG) of depressed patients exhibits abnormal dynamic activation of large-scale networks in microstate analysis. However, the problem of heterogeneous results in microstate features as physiological markers for depressive disorders has not been addressed. An important factor contributing to this problem is that previous studies have overlooked the effects of eye-opening and eye-closing on resting-state EEG microstates in depression. To address this gap, the present study proposes a new microstate delineation method to accurately identify EEG microstates in both open-eye and closed-eye resting states, and further analyzes the differential performance of the depressed group and the control group in the two states. We validated our method on a dataset containing 64-channel EEG data (55 cases in the depressed group and 55 cases in the control group). The results showed that the classical seven microstate topographies were present in both open-eye and closed-eye conditions, which may explain why other studies have overlooked the impact of eye state on resting-state microstates in depression. In addition, the microstate characteristics of depression were differentially expressed in the open-eye and closed-eye conditions, with the depressed group showing more significant results in the closed-eye condition. Overall, our study demonstrates that eye state affects depression microstates and provides new insights to address the problem of heterogeneity in the results of EEG microstate studies of depression. © 2024 IEEE.

关键词： Electroencephalography

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MultimodalSleepNet: A Lightweight Neural Network Model for Sleep Staging based on Multimodal Physiological Signals

MultimodalSleepNet: A Lightweight Neural Network Model for S...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Cui, Kunbo Zhao, Mingqi He, Minxin Liu, Di Zhao, Qinglin Hu, Bin School of Information Science and Engineering Lanzhou University Lanzhou China Lanzhou University Key Laboratory of Special Functional Materials and Structural Design Ministry of Education Lanzhou China School of Medical Technology Beijing Institute of Technology Beijing China Cas Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai China Joint Research Center for Cognitive Neurosensor Technology Lanzhou University Institute of Semiconductors Chinese Academy of Sciences Lanzhou China

ISBN: (纸本)9798350386226

With social development, the demand for automatic sleep quality assessment in wearable devices is increasing, especially as sleep quality is closely related to the diagnosis of psychiatric disorders. However, existing automatic sleep stage classification models are mostly designed for unimodal signals, with an emphasis on increasing parameter scale and model depth. As a result, it is challenging to meet the requirements for both lightweight models and high accuracy in wearable device-based automatic sleep staging tasks. To address this problem, this study introduces a novel lightweight model for sleep staging, MultimodalSleepNet, which is based on multi-modal physiological signals. Specifically, the model is designed to capture the temporal dynamics of physiological signals and the spatial interactions between multimodal signals. Additionally, an inflationary convolution mechanism is incorporated to accelerate temporal feature extraction. We validate the model using the publicly available Sleep-EDF-Expanded dataset. Compared to similar studies, our model achieves outstanding performance, with accuracies of 93.1% and 90.2% in the three-stage and five-stage sleep recognition tasks, respectively. Notably, the three-stage classification results show an 11.9% improvement in modal fusion accuracy compared to unimodal signals, with an 8.9% improvement in multiclass F1 score and a 20.8% increase in Cohen's kappa coefficient. In conclusion, our study offers a reference for the design of lightweight models for sleep staging and provides new insights into feature extraction and fusion of multimodal signals. © 2024 IEEE.

关键词： Sleep research

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An Infrared Touch System for Automatic Behavior Monitoring

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Neuroscience Bulletin 2021年第6期37卷 815-830页

作者： Qingqing Liu Xing Yang Ru Song Junying Su Moxuan Luo Jinling Zhong Liping Wang Shenzhen Key Laboratory of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science Guangdong Provincial Key Laboratory of Brain Connectome and BehaviorCAS Center for Excellence in Brain Science and Intelligence Technologythe Brain Cognition and Brain Disease InstituteShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China University of the Chinese Academy of Sciences Beijing 100049China University of Science and Technology of China Hefei 230026China

Key requirements of successful animal behavior research in the laboratory are robustness,objectivity,and high throughput,which apply to both the recording and analysis of *** automatic methods of monitoring animal behavior meet these ***,they usually depend on high-performing hardware and sophisticated software,which may be ***,we describe an automatic infrared behavior-monitor(AIBM)system based on an infrared touchscreen *** this,animal positions can be recorded and used for further behavioral analysis by any PC supporting touch *** system detects animal behavior in real time and gives closed-loop feedback using relatively low computing resources and simple *** AIBM system automatically records and analyzes multiple types of animal behavior in a highly efficient,unbiased,and low-cost manner.

关键词： Automatic behavior detection Elevated plus maze Two-chamber Looming Foot-shock Optogenetics Fiber photometry Heart rate and blood pressure

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Accurate Perception of Manipulation Force Makes Vascular Intervention Safer

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Procedia Computer science 2023年 226卷 15-21页

作者： Bo-Xian Yao Xiao-Hu Zhou Xiao-Liang Xie Shi-Qi Liu Zhen-Qiu Feng Mei-Jiang Gui Zeng-Guang Hou The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing 100049 China The CAS Center for Excellence in Brain Science and Intelligence Technology Beijing 100190 China

Manipulation force plays an important role in ensuring the safety of vascular intervention. Due to its extreme slightness, few studies have achieved accurate perception. In this study, a vision-based perception system is developed to obtain the manipulation force during guidewire delivery. In the system, an analysis framework is designed with the Hough transform and a fully connected neural network to establish the accurate transformation from visual image to haptic force. Experimental results indicate that the perception system achieves a minimal error (less than 0.1 N) in predicting the true force. It provides an effective solution for realtime monitoring dynamic manipulation in the context of vascular intervention. The proposed method also holds great potential for applications that require accurate force perception and control in various fields.

关键词： Vision-based perception system Manipulation force Hough transform Fully connected neural network Vascular intervention

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Modeling and analysis of an underwater biomimetic vehicle-manipulator system

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science China(Information sciences) 2022年第3期65卷 255-257页

作者： Xuejian BAI Yu WANG Shuo WANG Rui WANG Min TAN Wei WANG School of Artificial Intelligence University of Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences CAS Center for Excellence in Brain Science and Intelligence Technology School of Control Science and Engineering Shandong University

In recent years, underwater vehicle-manipulator systems(UVMSs) have captured researchers' attention. Inspired by fish, bionic mechanisms were introduced into a *** underwater biomimetic vehicle-manipulator system(UBVMS) is actuated by two symmetrically arranged biomimetic undulatory fin propulsors [1]. Based on the UBVMS, some topics have been researched, such as freefloating autonomous operation [2, 3], three-dimensional helical path following [4], and underwater video processing [5].

关键词： underwater biomimetic vehicle underwater robots underwater vehicle-manipulator system biomimetic robots hydrodynamic modeling

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Release of Endogenous brain-derived Neurotrophic Factor into the Lateral Entorhinal Cortex from the Paraventricular Thalamus Ameliorates Social Memory Deficits in a Mouse Model of Alzheimer’s Disease

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Neuroscience Bulletin 2022年第11期38卷 1425-1430页

作者： Yun‑Long Xu Lin Zhu Zi‑Jun Chen Xiao‑Fei Deng Pei‑Dong Liu Shan Li Bing‑Chun Lin Chuan‑Zhong Yang Wei Xu Kui-Kui Zhou Ying‑Jie Zhu Shenzhen Key Laboratory of Drug Addiction Shenzhen Neher Neural Plasticity Laboratorythe Brain Cognition and Brain Disease Institute(BCBDI)Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences(CAS)Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutionsShenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China Department of Neonatology Shenzhen Maternity&Child Healthcare HospitalThe First School of Clinical MedicineSouthern Medical UniversityShenzhen 518055China The First Afliated Hospital Sun Yat-sen UniversityGuangzhou 510080China Cheeloo College of Medicine Shandong UniversityJinan 250012China Faculty of Life and Health Sciences Shenzhen Institute of Advanced TechnologyCASShenzhen 518055China CAS Center for Excellence in Brain Science and Intelligence Technology CASShanghai 200031China CAS Key Laboratory of Brain Connectome and Manipulation BCBDIShenzhen Institute of Advanced Technology(SIAT)CASShenzhen 518055China

Dear Editor,Alzheimer's disease(AD)is one of the most devastating neurodegenerative disorders and the most common form of *** loss is a hallmark of AD pathology and exacerbates cognitive impairment[1].Synaptic los... 详细信息

关键词： Alzheimer pathology impairment

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Improvement in Tol2 transposon for efficient large-cargo capacity transgene applications in cultured cells and zebrafish(Danio rerio)

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Zoological Research 2024年第3期45卷 567-574页

作者： Peng-Cheng Wang Hao Deng Rang Xu Jiu-Lin Du Rongkun Tao Department of Pediatric Cardiology Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092China Institute of Neuroscience State Key Laboratory of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Medical School Kunming University of Science and TechnologyKunmingYunnan 650500China Scientific Research Center Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092China University of Chinese Academy of Sciences Beijing 100049China School of Life Science and Technology ShanghaiTech UniversityShanghai 200031China

Most viruses and transposons serve as effective carriers for the introduction of foreign DNA up to 11 kb into vertebrate ***,their activity markedly diminishes with payloads exceeding 11 *** the payload capacity of transposons could facilitate more sophisticated cargo designs,improving the regulation of expression and minimizing mutagenic risks associated with molecular therapeutics,metabolic engineering,and transgenic animal *** this study,we improved the Tol2 transposon by increasing protein expression levels using a translational enhancer(QBI SP163,ST)and enhanced the nuclear targeting ability using the nuclear localization protein H2B(SHT).The modified Tol2 and ST transposon efficiently integrated large DNA cargos into human cell cultures(H1299),comparable to the well-established super PiggyBac ***,mRNA from ST and SHT showed a significant increase in transgene delivery efficiency of large DNA payloads(8 kb,14 kb,and 24 kb)into zebrafish(Danio rerio).This study presents a modified Tol2 transposon as an enhanced nonviral vector for the delivery of large DNA payloads in transgenic applications.

关键词： Zebrafish Tol2 transposase Transgene Large payload Synthetic biology

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Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning

arXiv

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arXiv 2024年

作者： Zhang, Duzhen Wang, Qingyu Zhang, Tielin Xu, Bo School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Research Center for Brain-inspired Intelligence Institute of Automation Chinese Academy of Sciences Beijing China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai China

The success of Deep Reinforcement Learning (DRL) is largely attributed to utilizing Artificial Neural Networks (ANNs) as function approximators. Recent advances in neuroscience have unveiled that the human brain achieves efficient reward-based learning, at least by integrating spiking neurons with spatial-temporal dynamics and network topologies with biologically-plausible connectivity patterns. This integration process allows spiking neurons to efficiently combine information across and within layers via nonlinear dendritic trees and lateral interactions. The fusion of these two topologies enhances the network's information-processing ability, crucial for grasping intricate perceptions and guiding decision-making procedures. However, ANNs and brain networks differ significantly. ANNs lack intricate dynamical neurons and only feature inter-layer connections, typically achieved by direct linear summation, without intra-layer connections. This limitation leads to constrained network expressivity. To address this, we propose a novel alternative for function approximator, the Biologically-Plausible Topology improved Spiking Actor Network (BPT-SAN), tailored for efficient decision-making in DRL. The BPT-SAN incorporates spiking neurons with intricate spatial-temporal dynamics and introduces intra-layer connections, enhancing spatial-temporal state representation and facilitating more precise biological simulations. Diverging from the conventional direct linear weighted sum, the BPT-SAN models the local nonlinearities of dendritic trees within the inter-layer connections. For the intra-layer connections, the BPT-SAN introduces lateral interactions between adjacent neurons, integrating them into the membrane potential formula to ensure accurate spike firing. Comprehensive results from four continuous control tasks demonstrate that the BPT-SAN achieves superior network expressivity, surpassing both its artificial actor network counterpart and the regular SAN. Copyright © 20

关键词： Topology

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Superresolution structured illumination microscopy reconstruction algorithms:a review

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Light(science & Applications) 2023年第8期12卷 1510-1543页

作者： Xin Chen Suyi Zhong Yiwei Hou Ruijie Cao Wenyi Wang Dong Li Qionghai Dai Donghyun Kim Peng Xi Department of Biomedical Engineering College of Future TechnologyPeking UniversityBeijing 100871China National Biomedical Imaging Center Peking UniversityBeijing 100871China National Laboratory of Biomacromolecules CAS Center for Excellence in BiomacromoleculesInstitute of BiophysicsChinese Academy of SciencesBeijingChina Department of Automation Tsinghua UniversityBeijingChina Institute for Brain and Cognitive Sciences Tsinghua UniversityBeijingChina Beijing Key Laboratory of Multidimension&Multiscale Computational Photography Tsinghua UniversityBeijingChina Beijing Laboratory of Brain and Cognitive Intelligence Beijing Municipal Education CommissionBeijingChina School of Electrical and Electronic Engineering Yonsei University50 Yonsei-RoSeodaemun-GuSeoul 03722Korea

Structured illumination microscopy(SIM)has become the standard for next-generation wide-field microscopy,offering ultrahigh imaging speed,superresolution,a large fiield-of-view,and long-term *** the past decade,SIM hardware and software have flourished,leading to successful applications in various biological ***,unlocking the full potential of SIM system hardware requires the development of advanced reconstruction ***,we introduce the basic theory of two SIM algorithms,namely,optical sectioning SIM(OS-SIM)and superresolution SIM(SR-SIM),and summarize their implementation *** then provide a brief overview of existing OS-SIM processing algorithms and review the development of SR-SIM reconstruction algorithms,focusing primarily on 2D-SIM,3D-SIM,and *** showcase the state-of-the-art development of SIM systems and assist users in selecting a commercial SIM system for a specific application,we compare the features of representative off-the-shelf SIM ***,we provide perspectives on the potential future developments of SIM.

关键词： illumination hardware offering

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InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation

arXiv

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arXiv 2023年

作者： He, Fei Zhang, Haoyang Gao, Naiyu Jia, Jian Shan, Yanhu Zhao, Xin Huang, Kaiqi CRISE Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence University of Chinese Academy of Sciences China CAS Center for Excellence in Brain Science and Intelligence Technology China Horizon Robotics China

Video instance segmentation (VIS) aims at segmenting and tracking objects in videos. Prior methods typically generate frame-level or clip-level object instances first and then associate them by either additional tracking heads or complex instance matching algorithms. This explicit instance association approach increases system complexity and fails to fully exploit temporal cues in videos. In this paper, we design a simple, fast and yet effective query-based framework for online VIS. Relying on an instance query and proposal propagation mechanism with several specially developed components, this framework can perform accurate instance association implicitly. Specifically, we generate frame-level object instances based on a set of instance query-proposal pairs propagated from previous frames. This instance query-proposal pair is learned to bind with one specific object across frames through conscientiously developed strategies. When using such a pair to predict an object instance on the current frame, not only the generated instance is automatically associated with its precursors on previous frames, but the model gets a good prior for predicting the same object. In this way, we naturally achieve implicit instance association in parallel with segmentation and elegantly take advantage of temporal clues in videos. To show the effectiveness of our method InsPro, we evaluate it on two popular VIS benchmarks, i.e., YouTube-VIS 2019 and YouTube-VIS 2021. Without bells-and-whistles, our InsPro with ResNet-50 backbone achieves 43.2 AP and 37.6 AP on these two benchmarks respectively, outperforming all other online VIS methods. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

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