Current Opinion in Behavioral Sciences最新文献

英文中文

Embodying the default mode network: self-related processing from an embodied perspective 默认模式网络的具体化：具身视角下的自我相关加工

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-10-07 DOI: 10.1016/j.cobeha.2025.101607

Hong Ji Kim , Jeong In Lee , Choong-Wan Woo

Self-related processes in the default mode network (DMN) have been viewed predominantly through a cognitive lens, often overlooking the embodied dimensions of self. This paper proposes an embodied reconceptualization of DMN function by revisiting its two key self-related processes: self-relevance and self-reference. We argue that self-relevance is rooted in interoceptive inference and value estimation, assessing stimuli based on their predicted long-term impacts on internal bodily states. We introduce the notion of ‘affective maps’ — internal models of internal bodily state that parallel cognitive maps, which are internal models of the external world. We further reinterpret self-reference through the lens of second-order cybernetics, framing the DMN as a core component of a reflexive, nontrivial brain–body system, which monitors and regulates the internal milieu through bidirectional brain–body loops. This systems-level view integrates insights from interoception, affective neuroscience, and cybernetics, positioning the DMN as an embodied internal model crucial for constructing and regulating selfhood.

默认模式网络（DMN）中的自我相关过程主要是通过认知视角来看待的，往往忽略了自我的具体化维度。本文通过重新审视DMN的两个关键的自我相关过程：自我关联和自我参照，提出了DMN功能的具体化重新概念化。我们认为，自我关联根植于内感受推断和价值估计，基于它们对身体内部状态的预测长期影响来评估刺激。我们引入了“情感地图”的概念——内部身体状态的内部模型与认知地图平行，认知地图是外部世界的内部模型。我们进一步通过二阶控制论的视角重新解释自我参照，将DMN构建为反射性、非平凡的脑-体系统的核心组成部分，该系统通过双向脑-体回路监测和调节内部环境。这种系统级的观点整合了内感受、情感神经科学和控制论的见解，将DMN定位为对构建和调节自我至关重要的具体化内部模型。

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引用次数: 0

The default mode network during sleep: spindle oscillations and long-range cortical interactions in memory consolidation 睡眠中的默认模式网络：记忆巩固中的纺锤波振荡和长期皮层相互作用

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-10-03 DOI: 10.1016/j.cobeha.2025.101606

Federico Stella, Francesco P Battaglia

The distributed nature of cortical function is becoming increasingly supported by experimental evidence. The dynamics of the interaction between cortical areas has been studied in multiple species with a variety of techniques covering spatial and temporal scales, going from the details of neural ensemble activity in a brain area to the characterization of functional networks spanning the entire brain. The interaction between the hippocampus and the neocortex has attracted much attention as supporting memory consolidation and information exchange between memory systems, a basic tenet of contemporary memory theory. Recently, the emphasis has shifted from the study of the exchanges between the hippocampus and one select cortical area to characterization of cortico–hippocampal networks spanning large cortical swaths. We review evidence on the prominent involvement of the default mode network with the hippocampus and its role in memory consolidation. We then look at the statistics of cortical activations in sleep and wakefulness, discussing to what extent they support the hypothesis that the brain operates in a near-critical state, which would have profound consequences on the propagation of information across distant areas. Last, we link that body of literature to data on brain oscillations, hypothesizing that near-critical cortical activations shape sleep spindles, organizing activity conducive to memory consolidation.

实验证据越来越支持皮层功能的分布特性。在多个物种中，皮层区域之间相互作用的动力学已经用各种技术进行了研究，这些技术涵盖了空间和时间尺度，从大脑区域的神经集合活动的细节到跨越整个大脑的功能网络的表征。海马与新皮层之间的相互作用作为支持记忆巩固和记忆系统之间信息交换的基本原则而受到关注，这是当代记忆理论的基本原则。最近，研究的重点已经从海马体和一个特定皮质区域之间的交换转移到跨越大面积皮质的皮质-海马体网络的表征上。我们回顾了默认模式网络与海马的显著参与及其在记忆巩固中的作用的证据。然后，我们观察睡眠和清醒时皮层激活的统计数据，讨论它们在多大程度上支持大脑在接近临界状态下运作的假设，这将对信息在遥远区域的传播产生深远的影响。最后，我们将这些文献与大脑振荡的数据联系起来，假设接近临界的皮层激活形成睡眠纺锤波，组织有利于记忆巩固的活动。

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引用次数: 0

Editorial overview: Current advances in noninvasive brain stimulation 编辑概述：无创脑刺激的最新进展

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-09-17 DOI: 10.1016/j.cobeha.2025.101598

Alejandra Sel , Elsa Fouragnan

引用次数: 0

Exploring the link between loneliness and poverty in emerging economies 探索新兴经济体中孤独与贫困之间的联系

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-09-16 DOI: 10.1016/j.cobeha.2025.101596

M.Soledad Herrera , Raúl Elgueta , Claudia Giacoman

Loneliness is a significant public health issue affecting diverse populations. This study aimed to examine the association between poverty and loneliness in emerging economies, defined by the World Bank as nondeveloped countries.

A systematic review was conducted using the Scopus and Web of Science databases to identify studies published from 2020 onward that examined loneliness and poverty-related variables. After applying the exclusion criteria, only 76 articles were included in the analysis, most from China, India, and South Korea, with limited representation from Latin America and Africa.

The findings indicate that poverty is a predictor of loneliness. However, the majority of studies examined poverty and loneliness as independent predictors of third outcomes, primarily mental health issues, such as depressive symptoms or reduced well-being. Only a few studies explored the mechanisms underlying these relationships, with limited mediation and moderation analyses. Additionally, the scarcity of longitudinal research limits causal interpretations.

孤独是一个影响不同人群的重大公共卫生问题。这项研究旨在研究新兴经济体（世界银行将其定义为非发达国家）的贫困和孤独之间的关系。使用Scopus和Web of Science数据库进行了系统回顾，以确定自2020年以来发表的研究，这些研究检查了孤独和贫困相关的变量。在应用排除标准后，只有76篇文章被纳入分析，大部分来自中国、印度和韩国，拉丁美洲和非洲的代表性有限。研究结果表明，贫穷是孤独的一个预测因素。然而，大多数研究将贫穷和孤独作为第三种结果的独立预测因素，主要是精神健康问题，如抑郁症状或幸福感下降。只有少数研究探索了这些关系背后的机制，并进行了有限的中介和调节分析。此外，缺乏纵向研究限制了因果解释。

引用次数: 0

Integrating foundational theories of loneliness to develop effective interventions 整合孤独感的基础理论，制定有效的干预措施

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-09-16 DOI: 10.1016/j.cobeha.2025.101599

Nina Goldman , Pamela Qualter , Wahida Walibhai , Lily Verity

Loneliness is a complex and widespread experience that affects people across all ages and backgrounds. In this paper, we synthesise six foundational theories of loneliness from psychology — Attachment Theory, Social Needs Theory, Cognitive Discrepancy Theory, the Evolutionary Theory of Loneliness, Socio-Ecological Models, and Cultural Theory — to develop a multidimensional approach to intervention. Drawing on reviews of qualitative studies that explored how individuals themselves experience and explain loneliness, we connect theoretical insights to lived realities. That approach enhances the relevance and applicability of existing theories, but it also helps refine them to better reflect individual and cultural variation in both the theories and measurement. By integrating diverse perspectives, we outline practical strategies for prevention and intervention that address loneliness at the individual, relational, community, and societal levels.

孤独是一种复杂而广泛的体验，影响着所有年龄和背景的人。在本文中，我们综合了心理学中关于孤独的六个基本理论——依恋理论、社会需求理论、认知差异理论、孤独进化理论、社会生态模型和文化理论——来开发一种多维的干预方法。通过对探索个体自身如何体验和解释孤独的定性研究的回顾，我们将理论见解与生活现实联系起来。这种方法增强了现有理论的相关性和适用性，但它也有助于改进它们，以便更好地反映理论和测量中的个人和文化差异。通过整合不同的观点，我们概述了在个人、关系、社区和社会层面上预防和干预孤独的实用策略。

引用次数: 0

Advancements in neural closed-loop manipulations in awake, behaving animals 神经闭环操作在清醒行为动物中的进展

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-09-09 DOI: 10.1016/j.cobeha.2025.101597

Wenxuan Fang , Afsoon G Mombeini , Manu S Madhav

In recent years, there has been a paradigm shift in experimental neuroscience, using emerging technologies to ‘close the loop’ around the nervous system. These experiments measure or stimulate neural activity in the brain of awake, behaving animals based on behavioral or neural variables analyzed in real time. Advancements in position tracking and miniaturized sensors enable neural stimulation to be applied based on complex behavioral or physiological variables. Machine learning can predict and validate optimal behavioral stimuli that elicit a desired neural response, and animals can even be trained to elicit specific neural patterns for reward. Advancements in simultaneous neural recording and stimulation through electrical, optical, acoustic, and chemical channels allow neural activity patterns to dictate neural stimulation. This modifies the nature of neural computation in ways that allow us to dissect and model its components. We survey and present these neural closed-loop manipulations based on their feedback modes and discuss the resultant scientific advancements and remaining challenges.

近年来，实验神经科学出现了范式转变，利用新兴技术来“闭合神经系统的回路”。这些实验根据实时分析的行为或神经变量，测量或刺激清醒、有行为的动物大脑中的神经活动。位置跟踪和小型化传感器的进步使得基于复杂行为或生理变量的神经刺激得以应用。机器学习可以预测和验证引发预期神经反应的最佳行为刺激，动物甚至可以通过训练来引发特定的神经模式以获得奖励。通过电、光、声和化学通道同时记录和刺激神经的进展允许神经活动模式指示神经刺激。这改变了神经计算的本质，使我们能够对其组成部分进行剖析和建模。我们调查并介绍了这些基于反馈模式的神经闭环操作，并讨论了由此产生的科学进展和仍然存在的挑战。

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引用次数: 0

Facing the heat: behavioral and molecular underpinnings of heat stress in bumblebees 面对高温：大黄蜂热应激的行为和分子基础

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-09-05 DOI: 10.1016/j.cobeha.2025.101595

Nastacia L Goodwin , Z Yan Wang

Climate change heralds an era of increased heat waves. Insects, due to their short generation times and their sensitive ecological requirements, offer a powerful model for studying rapid physiological and behavioral responses to high temperatures. Solitary insects primarily respond to temperature extremes by moving in space or time to remain in a constant environment or by exploiting phenotypic plasticity or evolutionary adaptation. Eusocial insects, however, possess an additional tool in mitigating thermal stress: cooperative group behavior. Here, we discuss how bumblebees (Bombus) in particular exemplify the ways in which social living systems can buffer against environmental challenges. We focus on the urgent gap in understanding bumblebee responses to high heat and propose additional studies and analytic frameworks to facilitate the identification of conserved behavioral and neural mechanisms to heat stress.

气候变化预示着热浪增多的时代即将到来。昆虫由于其较短的繁殖周期和敏感的生态需求，为研究对高温的快速生理和行为反应提供了强有力的模型。独居昆虫对极端温度的主要反应是在空间或时间上移动，以保持在恒定的环境中，或者利用表型可塑性或进化适应。然而，群居昆虫在减轻热应激方面还有一个额外的工具：合作群体行为。在这里，我们特别讨论了大黄蜂（Bombus）如何以社会生活系统缓冲环境挑战的方式为例。我们专注于理解大黄蜂对高温反应的紧迫差距，并提出额外的研究和分析框架，以促进识别热应激的保守行为和神经机制。

引用次数: 0

Situation models and the default mode network 情景模型和默认模式网络

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-09-04 DOI: 10.1016/j.cobeha.2025.101593

Alexander Barnett , Buddhika Bellana

Cognitive neuroscientists continue to puzzle over how the default mode network (DMN) contributes to cognition. A renewed interest in studying narratives has led to a compelling possibility: the DMN tracks our evolving understanding of the current ‘state of affairs’ — a situation model. In this piece, we draw upon work in discourse processing to characterize what a situation model is and then use this framework to evaluate recent neuroimaging evidence. Recent functional magnetic resonance imaging studies demonstrate multivariate DMN activity is sensitive to an individual’s construal of the current situation. We also propose that (i) DMN situation representations are not specific to social or narrative content and instead summarize the current task state; and (ii) DMN representations are relatively low resolution and work alongside the hippocampus in service of event comprehension. Overall, we contend that situation models provide a productive framework for understanding the role of the DMN in human cognition.

认知神经科学家一直对默认模式网络（DMN）如何促进认知感到困惑。对叙事研究的新兴趣导致了一种令人信服的可能性：DMN追踪了我们对当前“事态”的不断发展的理解——一种情境模型。在这篇文章中，我们借鉴话语处理的工作来描述情景模型是什么，然后使用这个框架来评估最近的神经影像学证据。最近的功能性磁共振成像研究表明，多元DMN活动对个体对当前情况的理解很敏感。我们还提出(i) DMN情境表征不是特定于社会或叙事内容，而是总结当前任务状态；（ii） DMN表征的分辨率相对较低，并与海马体一起为事件理解服务。总的来说，我们认为情境模型为理解DMN在人类认知中的作用提供了一个富有成效的框架。

引用次数: 0

Beyond the numbers: a reflexive journey of interrogating racial categorization in QuantCrit 超越数字：在QuantCrit中质疑种族分类的反身之旅

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-08-30 DOI: 10.1016/j.cobeha.2025.101591

Lucy Arellano Jr, Carlos A Fitch

Quantitative methodologies have historically overlooked the complexities of race, yet critical quantitative methods and QuantCrit have emerged to challenge traditional approaches. This paper explores a faculty member’s and a doctoral student’s journeys into QuantCrit, emphasizing the third tenet: “Categories are neither natural nor given.” The authors critique their own work, engage with existing literature, and propose future directions, including artificial intelligence’s role in demographic classification and the potential for intersectional quantitative analyses. By interrogating rigid categorization and advocating for methodological justice, this paper advances the conversation on racial equity in quantitative research.

定量方法历来忽视了种族的复杂性，但批判性定量方法和QuantCrit已经出现，挑战了传统方法。本文探讨了一名教师和一名博士生进入QuantCrit的历程，强调了第三条原则：“类别既不是自然的，也不是给定的。”作者对自己的工作进行了批评，与现有文献进行了接触，并提出了未来的方向，包括人工智能在人口分类中的作用和交叉定量分析的潜力。通过质疑严格的分类和倡导方法正义，本文推进了定量研究中种族平等的对话。

引用次数: 0

Behavioral strategies and neural mechanisms underlying short-range navigation in teleost fish 硬骨鱼短距离导航的行为策略和神经机制

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-08-30 DOI: 10.1016/j.cobeha.2025.101588

Adelaide Sibeaux , Theresa Burt de Perera , Thomas Mueller , Ronen Segev

Studies of spatial cognition in teleosts have uncovered a remarkable array of behavioral strategies and neural mechanisms. While there is compelling evidence that short-range navigation in teleost fish is connected to the telencephalon, the rostral part of the forebrain, little is known about the telencephalic regions mediating this behavior. On the cellular level, several neuron types have been identified in specific regions of the telencephalon that respond to different aspects of the fish’s individual position within a given space. To comprehensively understand spatial representation in fish, we must bridge behavioral and neurophysiological studies. Here, we review the behavioral strategies used by teleost fish to navigate in the short range, and we discuss the current evidence for how the brain encodes short-range navigational strategies.

对硬骨鱼空间认知的研究揭示了一系列显著的行为策略和神经机制。虽然有令人信服的证据表明硬骨鱼的短程导航与前脑的吻侧端脑有关，但对调节这种行为的端脑区域知之甚少。在细胞水平上，已经在端脑的特定区域确定了几种神经元类型，这些区域对给定空间内鱼类个体位置的不同方面做出反应。为了全面了解鱼类的空间表征，我们必须将行为和神经生理学的研究结合起来。在此，我们回顾了硬骨鱼在近距离导航中使用的行为策略，并讨论了大脑如何编码近距离导航策略的现有证据。

引用次数: 0

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