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Annual review of neuroscience最新文献

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Melding Synthetic Molecules and Genetically Encoded Proteins to Forge New Tools for Neuroscience. 融合合成分子和基因编码蛋白质，打造神经科学新工具。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2022-02-28 DOI: 10.1146/annurev-neuro-110520-030031
Pratik Kumar, L. Lavis
{"title":"Melding Synthetic Molecules and Genetically Encoded Proteins to Forge New Tools for Neuroscience.","authors":"Pratik Kumar, L. Lavis","doi":"10.1146/annurev-neuro-110520-030031","DOIUrl":"https://doi.org/10.1146/annurev-neuro-110520-030031","url":null,"abstract":"Unraveling the complexity of the brain requires sophisticated methods to probe and perturb neurobiological processes with high spatiotemporal control. The field of chemical biology has produced general strategies to combine the molecular specificity of small-molecule tools with the cellular specificity of genetically encoded reagents. Here, we survey the application, refinement, and extension of these hybrid small-molecule:protein methods to problems in neuroscience, which yields powerful reagents to precisely measure and manipulate neural systems. Expected final online publication date for the Annual Review of Neuroscience, Volume 45 is July 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":""},"PeriodicalIF":13.9,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45689722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
How Cortical Circuits Implement Cortical Computations: Mouse Visual Cortex as a Model. 皮层电路如何实现皮层计算？以小鼠视觉皮层为模型
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-04-29 DOI: 10.1146/annurev-neuro-102320-085825
Cristopher M Niell, Massimo Scanziani
{"title":"How Cortical Circuits Implement Cortical Computations: Mouse Visual Cortex as a Model.","authors":"Cristopher M Niell, Massimo Scanziani","doi":"10.1146/annurev-neuro-102320-085825","DOIUrl":"10.1146/annurev-neuro-102320-085825","url":null,"abstract":"<p><p>The mouse, as a model organism to study the brain, gives us unprecedented experimental access to the mammalian cerebral cortex. By determining the cortex's cellular composition, revealing the interaction between its different components, and systematically perturbing these components, we are obtaining mechanistic insight into some of the most basic properties of cortical function. In this review, we describe recent advances in our understanding of how circuits of cortical neurons implement computations, as revealed by the study of mouse primary visual cortex. Further, we discuss how studying the mouse has broadened our understanding of the range of computations performed by visual cortex. Finally, we address how future approaches will fulfill the promise of the mouse in elucidating fundamental operations of cortex.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":"44 ","pages":"517-546"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925090/pdf/nihms-1849805.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10711078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ensheathment and Myelination of Axons: Evolution of Glial Functions. 轴突的鞘鞘和髓鞘形成:神经胶质功能的进化。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-03-15 DOI: 10.1146/annurev-neuro-100120-122621
Klaus-Armin Nave, Hauke B Werner
{"title":"Ensheathment and Myelination of Axons: Evolution of Glial Functions.","authors":"Klaus-Armin Nave,&nbsp;Hauke B Werner","doi":"10.1146/annurev-neuro-100120-122621","DOIUrl":"https://doi.org/10.1146/annurev-neuro-100120-122621","url":null,"abstract":"<p><p>Myelination of axons provides the structural basis for rapid saltatory impulse propagation along vertebrate fiber tracts, a well-established neurophysiological concept. However, myelinating oligodendrocytes and Schwann cells serve additional functions in neuronal energy metabolism that are remarkably similar to those of axon-ensheathing glial cells in unmyelinated invertebrates. Here we discuss myelin evolution and physiological glial functions, beginning with the role of ensheathing glia in preventing ephaptic coupling, axoglial metabolic support, and eliminating oxidative radicals. In both vertebrates and invertebrates, axoglial interactions are bidirectional, serving to regulate cell fate, nerve conduction, and behavioral performance. One key step in the evolution of compact myelin in the vertebrate lineage was the emergence of the open reading frame for myelin basic protein within another gene. Several other proteins were neofunctionalized as myelin constituents and help maintain a healthy nervous system. Myelination in vertebrates became a major prerequisite of inhabiting new ecological niches.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"197-219"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25480603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 39
Neocortical Layer 1: An Elegant Solution to Top-Down and Bottom-Up Integration. 新皮质层1:自上而下和自下而上集成的优雅解决方案。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-03-17 DOI: 10.1146/annurev-neuro-100520-012117
Benjamin Schuman, Shlomo Dellal, Alvar Prönneke, Robert Machold, Bernardo Rudy
{"title":"Neocortical Layer 1: An Elegant Solution to Top-Down and Bottom-Up Integration.","authors":"Benjamin Schuman,&nbsp;Shlomo Dellal,&nbsp;Alvar Prönneke,&nbsp;Robert Machold,&nbsp;Bernardo Rudy","doi":"10.1146/annurev-neuro-100520-012117","DOIUrl":"https://doi.org/10.1146/annurev-neuro-100520-012117","url":null,"abstract":"<p><p>Many of our daily activities, such as riding a bike to work or reading a book in a noisy cafe, and highly skilled activities, such as a professional playing a tennis match or a violin concerto, depend upon the ability of the brain to quickly make moment-to-moment adjustments to our behavior in response to the results of our actions. Particularly, they depend upon the ability of the neocortex to integrate the information provided by the sensory organs (bottom-up information) with internally generated signals such as expectations or attentional signals (top-down information). This integration occurs in pyramidal cells (PCs) and their long apical dendrite, which branches extensively into a dendritic tuft in layer 1 (L1). The outermost layer of the neocortex, L1 is highly conserved across cortical areas and species. Importantly, L1 is the predominant input layer for top-down information, relayed by a rich, dense mesh of long-range projections that provide signals to the tuft branches of the PCs. Here, we discuss recent progress in our understanding of the composition of L1 and review evidence that L1 processing contributes to functions such as sensory perception, cross-modal integration, controlling states of consciousness, attention, and learning.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"221-252"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012327/pdf/nihms-1705564.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25487120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 50
Ion Channel Degeneracy, Variability, and Covariation in Neuron and Circuit Resilience. 神经元和回路弹性中的离子通道简并、变异性和共变。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-03-26 DOI: 10.1146/annurev-neuro-092920-121538
Jean-Marc Goaillard, Eve Marder
{"title":"Ion Channel Degeneracy, Variability, and Covariation in Neuron and Circuit Resilience.","authors":"Jean-Marc Goaillard,&nbsp;Eve Marder","doi":"10.1146/annurev-neuro-092920-121538","DOIUrl":"https://doi.org/10.1146/annurev-neuro-092920-121538","url":null,"abstract":"<p><p>The large number of ion channels found in all nervous systems poses fundamental questions concerning how the characteristic intrinsic properties of single neurons are determined by the specific subsets of channels they express. All neurons display many different ion channels with overlapping voltage- and time-dependent properties. We speculate that these overlapping properties promote resilience in neuronal function. Individual neurons of the same cell type show variability in ion channel conductance densities even though they can generate reliable and similar behavior. This complicates a simple assignment of function to any conductance and is associated with variable responses of neurons of the same cell type to perturbations, deletions, and pharmacological manipulation. Ion channel genes often show strong positively correlated expression, which may result from the molecular and developmental rules that determine which ion channels are expressed in a given cell type.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"335-357"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25519678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 75
Inferring Macroscale Brain Dynamics via Fusion of Simultaneous EEG-fMRI. 通过脑电-功能磁共振同时融合推断宏观脑动力学。
IF 12.1 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-03-24 DOI: 10.1146/annurev-neuro-100220-093239
Marios G Philiastides, Tao Tu, Paul Sajda
{"title":"Inferring Macroscale Brain Dynamics via Fusion of Simultaneous EEG-fMRI.","authors":"Marios G Philiastides, Tao Tu, Paul Sajda","doi":"10.1146/annurev-neuro-100220-093239","DOIUrl":"10.1146/annurev-neuro-100220-093239","url":null,"abstract":"<p><p>Advances in the instrumentation and signal processing for simultaneously acquired electroencephalography and functional magnetic resonance imaging (EEG-fMRI) have enabled new ways to observe the spatiotemporal neural dynamics of the human brain. Central to the utility of EEG-fMRI neuroimaging systems are the methods for fusing the two data streams, with machine learning playing a key role. These methods can be dichotomized into those that are symmetric and asymmetric in terms of how the two modalities inform the fusion. Studies using these methods have shown that fusion yields new insights into brain function that are not possible when each modality is acquired separately. As technology improves and methods for fusion become more sophisticated, the future of EEG-fMRI for noninvasive measurement of brain dynamics includes mesoscale mapping at ultrahigh magnetic resonance fields, targeted perturbation-based neuroimaging, and using deep learning to uncover nonlinear representations that link the electrophysiological and hemodynamic measurements.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"315-334"},"PeriodicalIF":12.1,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25512459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Perceptual Inference, Learning, and Attention in a Multisensory World. 多感官世界中的知觉推断、学习和注意。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-04-21 DOI: 10.1146/annurev-neuro-100120-085519
Uta Noppeney
{"title":"Perceptual Inference, Learning, and Attention in a Multisensory World.","authors":"Uta Noppeney","doi":"10.1146/annurev-neuro-100120-085519","DOIUrl":"https://doi.org/10.1146/annurev-neuro-100120-085519","url":null,"abstract":"<p><p>Adaptive behavior in a complex, dynamic, and multisensory world poses some of the most fundamental computational challenges for the brain, notably inference, decision-making, learning, binding, and attention. We first discuss how the brain integrates sensory signals from the same source to support perceptual inference and decision-making by weighting them according to their momentary sensory uncertainties. We then show how observers solve the binding or causal inference problem-deciding whether signals come from common causes and should hence be integrated or else be treated independently. Next, we describe the multifarious interplay between multisensory processing and attention. We argue that attentional mechanisms are crucial to compute approximate solutions to the binding problem in naturalistic environments when complex time-varying signals arise from myriad causes. Finally, we review how the brain dynamically adapts multisensory processing to a changing world across multiple timescales.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"449-473"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38816313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 46
Neurophysiology of Human Perceptual Decision-Making. 人类感知决策的神经生理学。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-05-04 DOI: 10.1146/annurev-neuro-092019-100200
Redmond G O'Connell, Simon P Kelly
{"title":"Neurophysiology of Human Perceptual Decision-Making.","authors":"Redmond G O'Connell,&nbsp;Simon P Kelly","doi":"10.1146/annurev-neuro-092019-100200","DOIUrl":"https://doi.org/10.1146/annurev-neuro-092019-100200","url":null,"abstract":"<p><p>The discovery of neural signals that reflect the dynamics of perceptual decision formation has had a considerable impact. Not only do such signals enable detailed investigations of the neural implementation of the decision-making process but they also can expose key elements of the brain's decision algorithms. For a long time, such signals were only accessible through direct animal brain recordings, and progress in human neuroscience was hampered by the limitations of noninvasive recording techniques. However, recent methodological advances are increasingly enabling the study of human brain signals that finely trace the dynamics of the unfolding decision process. In this review, we highlight how human neurophysiological data are now being leveraged to furnish new insights into the multiple processing levels involved in forming decisions, to inform the construction and evaluation of mathematical models that can explain intra- and interindividual differences, and to examine how key ancillary processes interact with core decision circuits.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"495-516"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38947491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 30
Neural and Molecular Mechanisms of Biological Embedding of Social Interactions. 社会互动生物嵌入的神经和分子机制。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 DOI: 10.1146/annurev-neuro-092820-012959
Ian M Traniello, Gene E Robinson
{"title":"Neural and Molecular Mechanisms of Biological Embedding of Social Interactions.","authors":"Ian M Traniello,&nbsp;Gene E Robinson","doi":"10.1146/annurev-neuro-092820-012959","DOIUrl":"https://doi.org/10.1146/annurev-neuro-092820-012959","url":null,"abstract":"<p><p>Animals operate in complex environments, and salient social information is encoded in the nervous system and then processed to initiate adaptive behavior. This encoding involves biological embedding, the process by which social experience affects the brain to influence future behavior. Biological embedding is an important conceptual framework for understanding social decision-making in the brain, as it encompasses multiple levels of organization that regulate how information is encoded and used to modify behavior. The framework we emphasize here is that social stimuli provoke short-term changes in neural activity that lead to changes in gene expression on longer timescales. This process, simplified-neurons are for today and genes are for tomorrow-enables the assessment of the valence of a social interaction, an appropriate and rapid response, and subsequent modification of neural circuitry to change future behavioral inclinations in anticipation of environmental changes. We review recent research on the neural and molecular basis of biological embedding in the context of social interactions, with a special focus on the honeybee.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"109-128"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39163848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Integrated Patterning Programs During Drosophila Development Generate the Diversity of Neurons and Control Their Mature Properties. 果蝇发育过程中的综合模式程序产生神经元多样性并控制其成熟特性。
IF 13.9 1区 医学
Annual review of neuroscience Pub Date : 2021-07-08 Epub Date: 2021-02-08 DOI: 10.1146/annurev-neuro-102120-014813
Anthony M Rossi, Shadi Jafari, Claude Desplan
{"title":"Integrated Patterning Programs During <i>Drosophila</i> Development Generate the Diversity of Neurons and Control Their Mature Properties.","authors":"Anthony M Rossi,&nbsp;Shadi Jafari,&nbsp;Claude Desplan","doi":"10.1146/annurev-neuro-102120-014813","DOIUrl":"https://doi.org/10.1146/annurev-neuro-102120-014813","url":null,"abstract":"<p><p>During the approximately 5 days of <i>Drosophila</i> neurogenesis (late embryogenesis to the beginning of pupation), a limited number of neural stem cells produce approximately 200,000 neurons comprising hundreds of cell types. To build a functional nervous system, neuronal types need to be produced in the proper places, appropriate numbers, and correct times. We discuss how neural stem cells (neuroblasts) obtain so-called area codes for their positions in the nervous system (spatial patterning) and how they keep time to sequentially produce neurons with unique fates (temporal patterning). We focus on specific examples that demonstrate how a relatively simple patterning system (Notch) can be used reiteratively to generate different neuronal types. We also speculate on how different modes of temporal patterning that operate over short versus long time periods might be linked. We end by discussing how specification programs are integrated and lead to the terminal features of different neuronal types.</p>","PeriodicalId":8008,"journal":{"name":"Annual review of neuroscience","volume":" ","pages":"153-172"},"PeriodicalIF":13.9,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273087/pdf/nihms-1676386.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25344942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
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