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Blood-brain barrier pathology in cerebral small vessel disease

Neural Regeneration Research 2024年第6期19卷 1233-1240页

作者： Ruxue Jia Gemma Solé-Guardia Amanda J.Kiliaan Department of Medical imaging Anatomy Radboud University Medical Center Donders Institute for Brain Cognition & Behavior Center for Medical Neuroscience Preclinical Imaging Center PRIME Radboud Alzheimer Center

Cerebral small vessel disease is a neurological disease that affects the brain microvasculature and which is commonly observed among the elderly. Although at first it was considered innocuous, small vessel disease is nowadays regarded as one of the major vascular causes of dementia. Radiological signs of small vessel disease include small subcortical infarcts, white matter magnetic resonance imaging hyperintensities, lacunes, enlarged perivascular spaces, cerebral microbleeds, and brain atrophy; however, great heterogeneity in clinical symptoms is observed in small vessel disease patients. The pathophysiology of these lesions has been linked to multiple processes, such as hypoperfusion, defective cerebrovascular reactivity, and blood-brain barrier dysfunction. Notably, studies on small vessel disease suggest that blood-brain barrier dysfunction is among the earliest mechanisms in small vessel disease and might contribute to the development of the hallmarks of small vessel disease. Therefore, the purpose of this review is to provide a new foundation in the study of small vessel disease pathology. First, we discuss the main structural domains and functions of the blood-brain barrier. Secondly, we review the most recent evidence on blood-brain barrier dysfunction linked to small vessel disease. Finally, we conclude with a discussion on future perspectives and propose potential treatment targets and interventions.

关键词： blood-brain barrier dysfunction cerebral blood flow cerebral hypoperfusion endothelial dysfunction hypertension inflammation magnetic resonance imaging neurovascular unit oxidative stress small vessel disease tight junctions transcytosis

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Prompt learning in computer vision: a survey

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 42-63页

作者： Yiming LEI Jingqi LI Zilong LI Yuan CAO Hongming SHAN Shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200438China Institute of Science and Technology for brain-Inspired Intelligence Fudan UniversityShanghai 200433China MOE Frontiers center for brain Science Fudan UniversityShanghai 200433China Shanghai center for brain Science and brain-Inspired Technology Shanghai 201210China

Prompt learning has attracted broad attention in computer vision since the large pre-trained visionlanguagemodels (VLMs) exploded. Based on the close relationship between vision and language information builtby VLM, prompt learning becomes a crucial technique in many important applications such as artificial intelligencegenerated content (AIGC). In this survey, we provide a progressive and comprehensive review of visual promptlearning as related to AIGC. We begin by introducing VLM, the foundation of visual prompt learning. Then, wereview the vision prompt learning methods and prompt-guided generative models, and discuss how to improve theefficiency of adapting AIGC models to specific downstream tasks. Finally, we provide some promising researchdirections concerning prompt learning.

关键词： Prompt learning Visual prompt tuning(VPT) Image generation Image classification Artificial intelligence generated content(AIGC)

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Tuning the ferroelectricity of Hf0.5Zr0.5O2 with alloy electrodes

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Science China(Information Sciences) 2024年第8期67卷 321-330页

作者： Keqin LIU Bingjie DANG Zhiyu YANG Teng ZHANG Zhen YANG Jinxuan BAI Zelun PAN Ru HUANG Yuchao YANG Beijing Advanced Innovation center for Integrated Circuits School of Integrated Circuits Peking University School of Electronic and Computer Engineering Peking University center for brain Inspired Chips Institute for Artificial Intelligence Peking University center for brain Inspired Intelligence Chinese Institute for Brain ResearchBeijing

Tuning ferroelectricity of Hf0.5Zr0.5O2is crucial for facilitating its practical applications in various fields, including in-memory and neuromorphic computing. Previous studies have revealed that the electrodes have a significant influence on ferroelectricity, and changing electrode materials can realize different but discrete ferroelectric polarization values. Here, we introduce an alloy-electrode method, in order to achieve gradual and accurate modulation of ferroelectric polarization, especially useful for matching the polarization charges at the interface of ferroelectric insulators and ferroelectric semiconductors. Au and W electrodes are chosen as baselines for realizing weak and strong ferroelectric polarization, where the intermediate states can be achieved by adjusting the ratio of metals in the Au-W alloy. To demonstrate the generality of this approach, the Cu-W alloy electrode is also realized for tuning ferroelectric polarization. The effect of alloy electrodes on device leakage current, endurance, and retention is evaluated. In addition, the temperature stability of ferroelectric capacitors is tested, where limited changes in both remnant polarization and coercive voltages are observed, showing the great potential of the ferroelectric hafnium oxide. Such gradual modulation of ferroelectric polarization could facilitate the application of Hf0.5Zr0.5O2in in-memory and neuromorphic computing.

关键词： ferroelectric hafnium oxide alloy electrode gradual modulation temperature stability

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State-sensitive convolutional sparse coding for potential biomarker identification in brain signals

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Science China(Information Sciences) 2024年第5期67卷 270-286页

作者： Puli WANG Yu QI Gang PAN College of Computer Science and Technology Zhejiang University State Key Laboratory of brain-Machine Intelligence Zhejiang University MOE Frontier Science center for brain Science and brain-machine Integration Zhejiang University Affiliated Mental Health center & Hangzhou Seventh People's Hospital Zhejiang University School of Medicine

The identification of prototypical waveforms, such as sleep spindles and epileptic spikes, is crucial for the diagnosis of neurological disorders. These prototypical waveforms are usually recurrently presented in certain brain states, serving as potential biomarkers for clinical evaluations. Convolutional sparse coding(CSC) approaches have demonstrated strength in identifying recurrent patterns in time-series. However,existing CSC approaches do not explicitly explore state-specific patterns, making it difficult to identify state-related biomarkers. To address this problem, we propose state-sensitive CSC to learn state-specific prototypical waveforms. Specifically, we model signals of a certain state with specific waveforms that only appear frequently in this state and background waveforms that are independent of states. Based on this,state-sensitive CSC separates state-specific waveforms from background ones explicitly by incorporating incoherence constraints into optimizations. Experiments with epilepsy brain signals demonstrate that our approach can effectively identify prototypical waveforms in pre-ictal states, providing potential biomarkers for seizure prediction. Our approach provides a promising tool for automatic biomarker candidate identification.

关键词： convolutional sparse coding prototypical waveforms state-specific dictionary biomarker identification neural signal processing

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Context Processing in Contextual and Cued Fear Extinction

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Neuroscience Bulletin 2024年第6期40卷 835-839页

作者： Yimu Zhang Chun Xu Yu Gu State Key Laboratory of Medical Neurobiology and MOE Frontiers center for brain Science Institutes of Brain ScienceFudan UniversityShanghai200032China Institute of Neuroscience State Key Laboratory of NeuroscienceCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai200031China

Anxiety disorders such as post-traumatic stress disorder(PTSD)are prevalent mental disorders that disturb millions *** disorders often manifest as excessive fear,anxiety,and distress,significantly impacting daily *** fear extinction paradigms in animals were established decades ago and have been widely used in research,providing a scientific basis for exposure therapies for anxiety disorders in humans.

关键词： distress disorders traumatic

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Control of defensive behavior by the nucleus of Darkschewitsch GABAergic neurons

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National Science Review 2024年第4期11卷 70-83页

作者： Huiying Zhao Jinrong Liu Yujin Shao Xiang Feng Binhan Zhao Li Sun Yijun Liu Linghui Zeng Xiao-ming Li Hongbin Yang Shumin Duan Yan-qin Yu Department of Neurology of Second Affiliated Hospital and School of brain Science and brain Medicine Zhejiang University School of Medicine Nanhu brain-Computer Interface Institute Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-Machine Integration State Key Laboratory of Brain-Machine Intelligence Zhejiang University NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang University Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province School of Medicine Hangzhou City University

The nucleus of Darkschewitsch(ND), mainly composed of GABAergic neurons, is widely recognized as a component of the eye-movement controlling system. However, the functional contribution of ND GABAergic neurons(NDGABA) in animal behavior is largely unknown. Here, we show that NDGABA neurons were selectively activated by different types of fear stimuli, such as predator odor and foot *** and chemogenetic manipulations revealed that NDGABA neurons mediate freezing ***, using circuit-based optogenetic and neuroanatomical tracing methods, we identified an excitatory pathway from the lateral periaqueductal gray(l PAG) to the ND that induces freezing by exciting ND inhibitory outputs to the motor-related gigantocellular reticular nucleus, ventral part(Gi V). Together,these findings indicate the NDGABA population as a novel hub for controlling defensive response by relaying fearful information from the l PAG to Gi V, a mechanism critical for understanding how the freezing behavior is encoded in the mammalian brain.

关键词： nucleus of Darkschewitsch GABAergic population defensive behavior freezing neural circuitry

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End-to-End Paired Ambisonic-Binaural Audio Rendering

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 502-513页

作者： Yin Zhu Qiuqiang Kong Junjie Shi Shilei Liu Xuzhou Ye Ju-Chiang Wang Hongming Shan Junping Zhang Shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200433China Beijing ByteDance Technology Co.Ltd. Shanghai 201102China. Chinese University of Hong Kong Hong KongChina IEEE Institute of Science and Technology for brain-Inspired Intelligence and MOE Frontiers center for brain Science Fudan UniversityShanghai 200433 Shanghai center for brain Science and brain-Inspired Technology Shanghai 200031China

Binaural rendering is of great interest to virtual reality and immersive media. Although humans can naturally use their two ears to perceive the spatial information contained in sounds, it is a challenging task for machines to achieve binaural rendering since the description of a sound field often requires multiple channels and even the metadata of the sound sources. In addition, the perceived sound varies from person to person even in the same sound field. Previous methods generally rely on individual-dependent head-related transferred function(HRTF)datasets and optimization algorithms that act on HRTFs. In practical applications, there are two major drawbacks to existing methods. The first is a high personalization cost, as traditional methods achieve personalized needs by measuring HRTFs. The second is insufficient accuracy because the optimization goal of traditional methods is to retain another part of information that is more important in perception at the cost of discarding a part of the information. Therefore, it is desirable to develop novel techniques to achieve personalization and accuracy at a low cost. To this end, we focus on the binaural rendering of ambisonic and propose 1) channel-shared encoder and channel-compared attention integrated into neural networks and 2) a loss function quantifying interaural level differences to deal with spatial information. To verify the proposed method, we collect and release the first paired ambisonic-binaural dataset and introduce three metrics to evaluate the content information and spatial information accuracy of the end-to-end methods. Extensive experimental results on the collected dataset demonstrate the superior performance of the proposed method and the shortcomings of previous methods.

关键词： Ambisonic attention binaural rendering neural network

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Novel heterozygous USH1C mutation impacts hair cell mechanotransduction and causes progressive hearing loss

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Science Bulletin 2024年第2期69卷 167-172页

作者： Yanyan Jia Gaogan Jia Luo Guo Nan Song Yu-Meng Wang Luoying Jiang Yilai Shu Yan Chen Shujia Zhu Huawei Li Wenyan Li ENT Institute and Otorhinolaryngology Department of Eye&ENT Hospital State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceFudan UniversityShanghai 200031China Institutes of Biomedical Sciences Fudan UniversityShanghai 200032China NHC Key Laboratory of Hearing Medicine(Fudan University) Shanghai 200031China The Institutes of brain Science and the Collaborative Innovation center for brain Science Fudan UniversityShanghai 200032China Shanghai center for brain Science and brain-Inspired Intelligence Technology Shanghai 201210China Institute of Neuroscience State Key Laboratory of NeuroscienceCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Department of Cardiology and Institute for Developmental and Regenerative Cardiovascular MedicineXinhua Hospital Affiliated to Shanghai Jiaotong University School of MedicineShanghai 200092China

Hearing loss is one of the most common sensory disorders worldwide,affecting approximately 466 million people,including 34 million children[1].Genetic mutations accounts for approximately 60%of inherited hearing loss cases[2,3].These genetic changes result in a wide variety of clinical manifestations,ranging from nonsyndromic hearing loss(NSHL)to over 400 syndromes involving hearing loss and from mild adult-onset hearing loss to profound congenital deafness,covering the entire spectrum of Mendelian inheritance.

关键词： mec hearing approximate

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BMP7 expression in mammalian cortical radial glial cells increases the length of the neurogenic period

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Protein & Cell 2024年第1期15卷 21-35页

作者： Zhenmeiyu Li Guoping Liu Lin Yang Mengge Sun Zhuangzhi Zhang Zhejun Xu Yanjing Gao Xin Jiang Zihao Su Xiaosu Li Zhengang Yang State Key Laboratory of Medical Neurobiology and MOE Frontiers center for brain Science Institutes of Brain Scienceand Department of NeurologyZhongshan HospitalFudan UniversityShanghai 200433China

The seat of human intelligence is the human cerebral cortex,which is responsible for our exceptional cognitive *** principles that lead to the development of the large-sized human cerebral cortex will shed light on what makes the human brain and species so *** remarkable increase in the number of human cortical pyramidal neurons and the size of the human cerebral cortex is mainly because human cortical radial glial cells,primary neural stem cells in the cortex,generate cortical pyramidal neurons for more than 130 days,whereas the same process takes only about 7 days in *** molecular mechanisms underlying this difference are largely ***,we found that bone morphogenic protein 7(BMP7)is expressed by increasing the number of corti-cal radial glial cells during mammalian evolution(mouse,ferret,monkey,and human).BMP7 expression in cortical radial glial cells promotes neurogenesis,inhibits gliogenesis,and thereby increases the length of the neurogenic period,whereas Sonic Hedgehog(SHH)signaling promotes cortical *** demonstrate that BMP7 sign-aling and SHH signaling mutually inhibit each other through regulation of GLI3 repressor *** propose that BMP7 drives the evolutionary expansion of the mammalian cortex by increasing the length of the neurogenic period.

关键词： radial glia cortical neurogenesis cortical gliogenesis cortical evolution BMP7 SHH

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An end‐to‐end infant brain parcellation pipeline

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Intelligent Medicine 2024年第2期4卷 65-74页

作者： Limei Wang Yue Sun Weili Lin Gang Li Li Wang Department of Radiology and Biomedical Research imaging center UNC-Chapel HillNew Caledonia27599USA

Objective Accurate infant brain parcellation is crucial for understanding early brain development;however,it is challenging due to the inherent low tissue contrast,high noise,and severe partial volume effects in infant magnetic resonance images(MRIs).The aim of this study was to develop an end-to-end pipeline that enabled accurate parcellation of infant brain *** We proposed an end-to-end pipeline that employs a two-stage global-to-local approach for accurate parcellation of infant brain ***,in the global regions of interest(ROIs)localization stage,a combination of transformer and convolution operations was employed to capture both global spatial features and fine texture features,enabling an approximate localization of the ROIs across the whole *** the local ROIs refinement stage,leveraging the position priors from the first stage along with the raw MRIs,the boundaries of the ROIs are refined for a more accurate *** We utilized the Dice ratio to evaluate the accuracy of parcellation *** on 263 subjects from National Database for Autism Research(NDAR),Baby Connectome Project(BCP)and Cross-site datasets demonstrated the better accuracy and robustness of our method than other competing *** Our end-to-end pipeline may be capable of accurately parcellating 6-month-old infant brain MRIs.

关键词： Infant brain parcellation Isointense magnetic resonance image Convolutional neural networks Transformer

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