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Versatile strategies for adult neurogenesis:avenues to repair the injured brain

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Neural Regeneration Research 2024年第4期19卷 774-780页

作者： Junyi Zhao Siyu Liu Xianyuan Xiang Xinzhou Zhu The brain Cognition and brain Disease Institute(BCBDI) Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Faculty of Life and Health Sciences Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen-Hong Kong Institute of brain Science-Shenzhen Fundamental Research Institutions

brain injuries due to trauma or stroke are major causes of adult death and ***,few interventions are effective for post-injury repair of brain *** a long debate on whether endogenous neurogenesis actually happens in the adult human brain,there is now substantial evidence to support its *** neurogenesis is usually significantly stimulated by injury,the reparative potential of endogenous differentiation from neural stem/progenitor cells is usually ***,exogenous stem cell transplantation has shown promising results in animal models,but limitations such as poor long-term survival and inefficient neuronal differentiation make it still challenging for clinical ***,a high focus was placed on glia-to-neuron conversion under single-factor *** some inspiring results,the validity of this strategy is still *** this review,we summarize historical findings and recent advances on neurogenesis strategies for neurorepair after brain *** also discuss their advantages and drawbacks,as to provide a comprehensive account of their potentials for further studies.

关键词： adult neurogenesis glia-to-neuron conversion ischemic stroke neurogenic niche neuroinflammation stem cell transplantation traumatic brain injury

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Bayesian brain computing and the free-energy principle: an interview with Karl Friston

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National Science Review 2024年第5期11卷 87-89页

作者： Wenlian Lu the Institute of Science and Technology for brain-Inspired Intelligence of Fudan University

The free-energy principle entails the Bayesian brain hypothesis that can be implemented by many schemes considered in this field. The combination of multimodal brain imaging and free-energy minimization has shown promise in unraveling complex brain dynamics and understanding the interactions among distinct brain regions. The Bayesian mechanics of brain computing gives a unique route to understanding authentic(neuromimetic) intelligence and, more importantly, points towards the development of brain-inspired intelligence.

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Microglia Suppresses Breast Cancer brain Metastasis via a Pro-inflammatory Response

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Neuroscience Bulletin 2024年第7期40卷 1034-1036页

作者： Shengbo Chen Yi-Jun Liu Department of Neurobiology of Affiliated Mental Health Center and Hangzhou Seventh People's Hospital and School of brain Science and brain Medicine Zhejiang University School of MedicineHangzhou 310058China Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-machine IntegrationState Key Laboratory of Brain-machine IntelligenceZhejiang University1369 West Wenyi RoadHangzhou 311121China NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang UniversityHangzhou 310058China

Due to the obstacle of the blood-brain barrier(BBB)for drug delivery[1],breast cancer brain metastasis(BCBM)represents a worldwide health challenge with high *** BCBM formation and progression,brain metastases(BrMs)secret various factors,including cytokines and exosomes,and trigger the infiltration of tumours-associated macrophages(TAMs),which in turn become important components of brain tumour microenvironments(TME).

关键词： mortality tumour Breast

Advancing brain-inspired computing with hybrid neural networks

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National Science Review 2024年第5期11卷 56-71页

作者： Faqiang Liu Hao Zheng Songchen Ma Weihao Zhang Xue Liu Yansong Chua Luping Shi Rong Zhao Center for brain-Inspired Computing Research Optical Memory National Engineering Research CenterTsinghua University-China Electronics Technology HIK Group Co.Joint Research Center for Brain-inspired ComputingIDGMc Govern Institute for Brain Research Department of Precision Instrument Tsinghua University Neuromorphic Computing Laboratory China Nanhu Academy of Electronics and Information Technology

brain-inspired computing, drawing inspiration from the fundamental structure and information-processing mechanisms of the human brain, has gained significant momentum in recent years. It has emerged as a research paradigm centered on brain–computer dual-driven and multi-network integration. One noteworthy instance of this paradigm is the hybrid neural network(HNN), which integrates computer-science-oriented artificial neural networks(ANNs) with neuroscience-oriented spiking neural networks(SNNs). HNNs exhibit distinct advantages in various intelligent tasks, including perception, cognition and learning. This paper presents a comprehensive review of HNNs with an emphasis on their origin, concepts, biological perspective, construction framework and supporting systems. Furthermore, insights and suggestions for potential research directions are provided aiming to propel the advancement of the HNN paradigm.

关键词： brain-inspired computing hybrid neural network dual-brain driven multi-network integration neuromorphic system

Going straight for the gut:gut-brain axis pathology and treatment of Parkinson's disease

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Neural Regeneration Research 2024年第10期19卷 2111-2112页

作者： Dominique Ebedes Cesar V.Borlongan University of South Florida Morsani College of Medicine TampaFLUSA Center of Excellence for Aging and brain Repair Department of Neurosurgery and Brain RepairUniversity of South Florida Morsani College of MedicineTampaFLUSA

This perspective focuses on the recent literature regarding the role of the gut-brain axis(GBA) in fecal microbiota transplantation(FMT) and stem cell therapy(SCT) in Parkinson's disease(PD).PD is the second most common neurodegenerative disease in the United States,yet therapies remain *** research suggests that the GBA may play a role in the pathogenesis of *** FMT as well as SCT offer promising new avenues for PD *** bing the interactions between FMT and SCT with the GBA may reveal novel therapeutics for PD.

关键词： straight pathology pathogenesis

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Traumatic brain injury treatment using a rodent model of homelessness

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Neural Regeneration Research 2024年第9期19卷 1873-1874页

作者： Molly Monsour Cesar V.Borlongan University of South Florida Morsani College of Medicine TampaFLUSA Center of Excellence for Aging and brain Repair Department of Neurosurgery and Brain RepairUniversity of South Florida Morsani College of MedicineTampaFLUSA

Introduction:Traumatic brain injury(TBI)is a common diagnosis among veterans secondary to combat *** is also rampant among those experiencing homelessness,possibly due to veterans making up 12.3%of the homeless population(Tsai and Rosenheck,2015),or due to the high risk of violence or trauma among those experiencing *** is up to 10×more prevalent among those experiencing homelessness(Stubbs et al.,2020;Dell et al.,2021).

关键词： diagnosis TBI less

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The Neural Mechanism of Knowledge Assembly in the Human brain Inspires Artificial Intelligence Algorithm

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Neuroscience Bulletin 2024年第2期40卷 280-282页

作者： Xiang Ji Wentao Jiang Xiaoru Zhang Ming Song Shan Yu Tianzi Jiang University of the Chinese Academy of Sciences Beijing 100049China brainnetome Center Institute of AutomationThe Chinese Academy of SciencesBeijing 100190China Laboratory of brain Atlas and brain-inspired Intelligence Institute of AutomationThe Chinese Academy of SciencesBeijing 100190China CAS Center for Excellence in brain Science and Intelligence Technology The Chinese Academy of SciencesBeijing 100190China Research Center for Augmented Intelligence Zhejiang LabHangzhou 311100China

When new information enters the brain,a human's prior knowledge of the world can change rapidly through a process referred to as"knowledge assembly".Recently,Nelli et *** the neural correlates of knowledge assembly in the human brain using functional ***,inspired by the neural mechanism,the authors developed an artificial neural network algorithm to permit rapid knowledge assembly,improving the flexibility of the system[1].Once again,this research demonstrates that studying how the brain works can lead to better computational algorithms.

关键词： neural knowledge artificial

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

Developmental Impairments of Synaptic Refinement in the Thalamus of a Mouse Model of Fragile X Syndrome

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Neuroscience Bulletin 2024年第4期40卷 439-450页

作者： Xiaotong Wu Yali Liu Xiaomeng Wang Lu Zheng Libiao Pan Hao Wang Department of Neurosurgery of Second Affiliated Hospital and School of brain Science and brain Medicine Key Laboratory for Biomedical Engineering of Education MinistryZhejiang University School of MedicineHangzhou310058China Nanhu brain-computer Interface Institute Hangzhou311100China NHC and CAMS Key Laboratory of Medical Neurobiology MOE Frontier Science Center for Brain Research and Brain Machine IntegrationKey Laboratory of Precise Treatment and Clinical Translational Research of Neurological DiseasesSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhou310058China Lingang Laboratory Shanghai200031China

While somatosensory over-reactivity is a common feature of autism spectrum disorders such as fragile X syndrome(FXS),the thalamic mechanisms underlying this remain ***,we found that the developmental elimination of synapses formed between the principal nucleus of V(PrV)and the ventral posterior medial nucleus(VPm)of the somatosensory system was delayed in fragile X mental retardation 1 gene knockout(Fmr1 KO)mice,while the developmental strengthening of these synapses was *** showed excessive VGluT2 puncta in mutants at P12–13,but not at P7–8 or P15–16,confirming a delay in somatic pruning of PrV-VPm *** synaptic function was associated with a reduction in the frequency of quantal AMPA events,as well as developmental deficits in presynaptic vesicle size and *** results uncovered the developmental impairment of thalamic relay synapses in Fmr1 KO mice and suggest that a thalamic contribution to the somatosensory over-reactivity in FXS should be considered.

关键词： Fragile X syndrome Synaptic refinement VPm Sensory over-reactivity