Annual Review of Neuroscience神经科学年度综述
Annual Review of Neuroscience(英文缩写 ANNU REV NEUROSCI),ISSN 0147-006X,eISSN 1545-4126,中文译名:神经科学年度综述 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 15.553 | Q1 |
| 2022 | 13.900 | Q1 |
| 2023 | 12.100 | Q1 |
| 2024 | 13.200 | Q1 |
| 2025 | 13.800 | Q1 |
Annual Review of Neuroscience 最新收录文献
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1. Principles of Brain Region Evolution: Insights from the Cerebellar Nuclei.
PMID:日期:2026-07How do new brain regions evolve? The cerebellar nuclei, the output structures of the cerebellum, are an ideal model for studying this question due to their striking diversification across vertebrates: Mammals have three bilaterally symmetric nuclei, birds and reptiles have two, and amphibians and cartilaginous fishes have one. Here, we review comparative, developmental, and transcriptomic data on the evolution of the cerebellar nuclei. We propose that the repeated duplication of a conserved cell type set coupled with excitatory neuron divergence underlies cerebellar nucleus diversification. We also discuss the possible origins of the ancestral cerebellar nucleus, likely through a duplication-and-divergence event of extracerebellar hindbrain structures. Finally, we explore how similar duplication-and-divergence mechanisms operate in other brain regions, underscoring this mechanism as a general principle governing the emergence of new brain structures.
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2. The Representation of Affective Internal States in the Hypothalamus: A Neural Manifold View.
2. 下丘脑情感内部状态的表征：神经流形观点PMID:日期:2026-07[中文摘要] 近年来，得益于基于遗传学的强大工具在标记、绘制图谱、操控和监测特定神经元亚群方面的应用，我们对控制社交及其他先天生存行为的下丘脑环路的认识呈爆炸式增长。然而，要充分理解这一复杂系统，仍有一系列重要问题尚未解答，包括下丘脑如何编码这些行为背后的情感性内部状态。在系统神经科学中，认知变量的神经表征已通过分析隐藏于高维群体神经活动中的神经流形的活动与动态而被揭示。这些信号无法在单个神经元或神经元类型的活动中被检测到。由于下丘脑传统上被视为大脑中“认知”程度最低的部分，认知神经科学中所谓的“群体学说”尚未被广泛应用于这一系统。在此，我们讨论近期数据，这些数据提示应用这种流形层面的方法可能有助于识别下丘脑中内部情感状态编码的表征与机制。反过来，这些发现表明，认知与情绪可能在比先前假设更大的程度上共享计算机制。
[英文摘要] Our understanding of hypothalamic circuits that control social and other innate survival behaviors has exploded in recent years, thanks to the application of powerful genetically based tools for marking, mapping, manipulating, and monitoring specific neuronal subpopulations. Yet there remains an important set of unanswered questions that must be addressed to fully understand this complex system, including how the hypothalamus encodes affective internal states underlying these behaviors. In systems neuroscience, neural representations of cognitive variables have been revealed by analyzing the activity and dynamics of neural manifolds hidden within high-dimensional population neural activity. These signals are not detectable in the activity of individual neurons or neuron types. Because the hypothalamus has traditionally been viewed as the least "cognitive" part of the brain, the so-called "population doctrine" in cognitive neuroscience has not been widely applied to this system. Here, we discuss recent data that suggest that the application of this manifold-level approach may be useful for identifying representations and mechanisms of internal affective state coding in the hypothalamus. In turn, these findings argue that cognition and emotion may share computational mechanisms to a greater degree than previously assumed.
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3. Neural Control of Homeothermy, Torpor, and Hibernation.
3. 恒温、冬眠和冬眠的神经控制PMID:日期:2026-07Homeothermy, the physiologic capacity to maintain a constant core body temperature, provided a critical survival advantage for mammalian and avian phyla, enabling the colonization of diverse habitats. However, the higher metabolic demands associated with homeothermy necessitate greater food intake. When challenged by food deprivation or harsh environmental conditions, many mammalian and avian species initiate adaptive energy-conserving survival strategies-including hibernation and daily torpor-during which their body temperature decreases far below its homeostatic range. Despite their biological significance and potential biomedical applications, the neural circuit mechanisms regulating entry into these hypometabolic states and their relationship to characterized thermoregulatory pathways remain to be fully elucidated. Here we review known thermoregulatory mechanisms and recent findings concerning the neural control of torpor and hibernation to identify points of convergence as well as important next steps in pursuit of an understanding of these regulatory pathways.
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4. Functional Logic of a Cognitive Brain System for Navigation.
PMID:日期:2026-07It is unusual for cognitive neuroscientists to reach consensus around which computations a brain region implements, what algorithms are used to achieve those computations and how the algorithms are implemented by cells and circuits (i.e., Marr's three levels of analysis). Over the past decade, there has been notable progress in delineating such a unified functional understanding in the central complex. In this review, we summarize how the central complex operates as a computational device that calculates the values of angles and two-dimensional vectors important for navigational behavior. Appreciating how these insights were made in suggests a roadmap for reaching a similar level of understanding in larger brains.
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5. Synucleins in Neural Physiology: Understanding Endogenous Function to Better Contextualize Pathology.
5. 神经生理学中的突触核蛋白：理解内源性功能以更好地理解病理学PMID:日期:2026-07Perhaps most well-known for its penetrant role in synucleinopathies, alpha-synuclein's nonpathological function remains incompletely characterized. Most widely regarded as a putative presynaptic protein, a growing body of work over the last few decades demonstrates that alpha-synuclein participates in a broad and more diverse set of neuronal functions. Alpha-synuclein is a small, intrinsically disordered protein comprising three functionally distinct regions that mediate membrane binding, vesicle clustering, and protein-protein interactions. At synapses, alpha-synuclein participates in multiple steps of neurotransmission, including organization of the vesicle reserve pool, recruitment of release machinery, and recycling of synaptic vesicles. Emerging evidence further supports roles for alpha-synuclein beyond classical presynaptic compartments, including interactions with nonsynaptic membranes and secretion via extracellular vesicles. This review aims to integrate the literature on alpha-synuclein's structure and function to better underscore how these properties may contribute to vulnerability in disease when these normal functions are lost.
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6. Body-Brain Integration: The Lower Brainstem in Sleep-Wake Regulation.
6. 体脑整合：睡眠-觉醒调节中的下脑干PMID:日期:2026-04-20The lower brainstem is a key hub linking visceral physiology with the regulation of brain states. This review synthesizes recent findings demonstrating how several nuclei within this region-including the nucleus of the solitary tract (NST), parabrachial nucleus (PBN), and other medullary circuits-function as an integrated network that couples sleep-wake regulation to the body's homeostatic demands. The NST serves as a central gateway, translating cardiovascular, immune, and digestive signals into a sleep drive, whereas the PBN plays a pivotal role in processing threat-related inputs to promote arousal. Several populations of GABAergic neurons in the medulla induce both motor suppression and sleep. In addition, cholinergic neurons in the nucleus ambiguus and catecholaminergic cells in the ventrolateral medulla and locus coeruleus regulate sleep-wake states together with somatic and autonomic motor activity. Collectively, these findings establish the brainstem not merely as a collection of reflex centers but as a master coordinator aligning global brain states with peripheral bodily functions.
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7. Planning in the Brain: It's Not What You Think It Is.
7. 大脑中的规划：并非你所想的那样PMID:日期:2026-04-16The neuroscience of planning has long been analogized to search algorithms in artificial intelligence (AI), which simulate future actions to guide immediate choices. We argue that advances in both neuroscience and AI suggest that planning is better understood to encompass a broader class of computations where mental simulation supports learning, often well before a decision is needed. We review three neurocomputational mechanisms that illustrate this shift. First, hippocampal replay resembles search but also often occurs prospectively or offline, likely training downstream circuits rather than directly guiding choice. Second, temporally abstract representations, such as grid cells, can enable planning without iterative search. Third, metalearning may shape how prefrontal dynamics implement task-specific planning strategies, echoing how AI systems learn to adapt across contexts. This view recasts the brain's planning machinery as a family of learning processes that leverage simulations to build representations and strategies, with forward search as one special case.
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8. The Emerging Neurobiology of Psychedelics: Critical Periods, Metaplasticity, and Extracellular Matrix Remodeling.
PMID:日期:2026-04-16Psychedelics are a broad category of compounds that induce altered states of consciousness. These drugs have shown remarkable promise for the treatment of debilitating disorders ranging from posttraumatic stress disorder to depression and addiction. Although early studies focused on linking binding targets of psychedelics to their therapeutic effects, these pharmacological and biochemical explanations fail to account for the diversity, durability, and context dependence of psychedelics' clinical and acute subjective effects. More recently, neurobiological explanations offer fresh insights and demonstrate that a unifying property of psychedelics is that these compounds reopen critical periods, induce metaplasticity, and reorganize the extracellular matrix. Here we review this evidence and argue that the neurobiological and therapeutic effects of psychedelics challenge the biochemical imbalance model that has dominated translational neuroscience since the 1950s and favor instead a learning model that better accounts for psychedelics' unique therapeutic profile.
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9. Rethinking Predictive Processing.
9. 重新思考预测处理PMID:日期:2026-04-16Predictive coding proposes that the brain constructs internal models of the world to continuously predict sensory input and uses resulting errors to refine these models. Over the past several decades, neurophysiological studies have reported activity patterns consistent with this view. However, varied definitions and inconsistent empirical evidence have raised questions about its validity and explanatory scope. In this review, we provide a historical overview of the predictive processing framework and evaluate its empirical support, particularly focusing on sensory prediction error signals. We argue that clarifying what information these signals represent is crucial, as they may appear similar in their responses yet reflect fundamentally different underlying computations. We then revisit predictive coding, highlighting alternative accounts of how sensory prediction error signals encode information. Finally, we outline key directions for future work, aiming to provide a constructive roadmap for the next phase of predictive processing research and to advance our understanding of the neuronal algorithms underlying perception and cognition.
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10. Path Integration in Alzheimer's Disease: Orientation, Movement, and Theta Rhythmicity.
10. 阿尔茨海默病中的路径整合：定向、运动与θ节律性PMID:日期:2026-04-16Path integration (PI), the ability to keep track of position and orientation from self-motion, is a sensitive cognitive marker of Alzheimer's disease. While entorhinal grid cells are central to PI, we focus here on the broader functional circuit supporting PI and the impact of Alzheimer's disease within it. This circuit includes orientation from head direction cells, landmark-based error correction, and signals encoding current or intended movement direction, which we suggest may rely on theta-modulated directional cells and theta sweeps in grid and place cell firing. The early vulnerability of PI, particularly angular PI, may reflect multiple sources: pathology in the anterodorsal thalamus degrading head direction coding; disrupted theta rhythmicity and thus theta-modulated directional signals, potentially reflecting cholinergic dysfunction; and retrosplenial landmark-resetting failures allowing angular drift. We advocate for further cross-species investigation of PI tasks with electrophysiological measures to fully identify the underlying circuit mechanisms and their impairment in Alzheimer's disease.