Current Opinion in Behavioral Sciences最新文献

英文中文

Naturalness shapes public support for sustainability technology 自然塑造了公众对可持续性技术的支持

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-11-27 DOI: 10.1016/j.cobeha.2025.101617

Sarah Gonzalez-Coffin, Leaf Van Boven

Sustainability technologies are critical for addressing climate change, yet public opposition can hinder their adoption. Recent research shows that perceptions of naturalness influence public support for technology. Naturalness is a multidimensional psychological construct. Technologies are seen as natural if they involve minimal processing, align with ecological norms, and are culturally aligned. More natural technologies, like afforestation, solar energy, and plant-based foods, are viewed as safer, more beneficial, familiar, and positive garnering greater public support than less natural technologies like direct air capture, nuclear energy, or lab-grown meat. People with heightened aversion to altering natural systems are particularly swayed by a technology's perceived artificialness or naturalness. Naturalness is thus a core factor shaping public reactions to sustainability technologies, and understanding this concept can enhance communication strategies aimed at reducing public resistance.

可持续性技术对应对气候变化至关重要，但公众的反对可能会阻碍它们的采用。最近的研究表明，对自然的认知会影响公众对技术的支持。自然是一个多维度的心理结构。如果技术涉及最少的加工，符合生态规范，并与文化相一致，那么它们就被视为自然的。更自然的技术，如植树造林、太阳能和植物性食品，被认为比直接空气捕捉、核能或实验室培育的肉类等不那么自然的技术更安全、更有益、更熟悉、更积极，获得了更多的公众支持。对改变自然系统高度反感的人尤其容易被一项技术的人为性或自然性所左右。因此，自然性是影响公众对可持续性技术反应的核心因素，理解这一概念可以增强旨在减少公众抵制的沟通策略。

引用次数: 0

Impactful environmental psychology needs formal theories 有影响力的环境心理学需要正式的理论

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-11-22 DOI: 10.1016/j.cobeha.2025.101619

Anne E Urai , Fabian Dablander , Jan Willem Bolderdijk

Changing individual and collective behavior is critical to addressing the climate and ecological crisis. Environmental psychology is thus well-positioned to contribute knowledge to guide impactful climate action. However, we argue that it is not living up to its full potential, partly because its theories often remain verbal. Formalizing theories — expressing them in the precise language of mathematics or computer code — is especially important to give substance to thinking about complex systems, where nonlinearities and feedback loops make the effect of interventions hard to predict. Formal theories increase conceptual clarity and mechanistic understanding, advance cumulative science, enable ‘in silico’ intervention testing, and improve integration into policy-relevant models. We illustrate how environmental psychologists can start incorporating theory formalization in their work.

改变个人和集体行为对于解决气候和生态危机至关重要。因此，环境心理学能够很好地为指导有效的气候行动提供知识。然而，我们认为，它并没有充分发挥其潜力，部分原因是它的理论往往是口头的。形式化理论——用精确的数学语言或计算机代码表达它们——对于思考复杂系统的实质内容尤其重要，在复杂系统中，非线性和反馈回路使得干预的效果难以预测。形式化理论增加了概念的清晰度和对机制的理解，推进了累积性科学，实现了“计算机”干预测试，并改善了与政策相关模型的整合。我们说明了环境心理学家如何开始将理论形式化纳入他们的工作。

引用次数: 0

A state-space perspective on the role of the default mode network in semantic cognition 从状态空间角度看默认模式网络在语义认知中的作用

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-11-20 DOI: 10.1016/j.cobeha.2025.101616

Elizabeth Jefferies , Jonathan Smallwood

Semantic cognition allows us to understand language, interpret perceptual inputs, retrieve knowledge, and generate meaningful thought. The default mode network (DMN) is often engaged during semantic tasks, yet its precise contribution remains debated, given its involvement in a broad range of cognitive states and domains, including spontaneous thought, autobiographical memory, and social cognition. This review argues that while the DMN’s role is difficult to define in traditional psychological terms, it supports several core processes essential for semantic cognition. These include integrating multisensory features, drawing on long-term knowledge to guide thought and perception, and enabling context-appropriate retrieval. The DMN’s position in the cortical hierarchy — at a maximal distance from sensory and motor regions — allows it to link diverse sources of information, represent abstract knowledge, and connect flexibly with other large-scale networks. We propose a state space framework to capture how the DMN interacts dynamically with other systems over time, based on intrinsic connectivity patterns. Semantic retrieval occurs in different network states — either when the DMN and executive control networks are co-activated to support effortful search, or when they decouple, with control systems guiding goal-directed retrieval and the DMN supporting more automatic access to knowledge. DMN regions can also couple with and separate from perceptual regions. This framework highlights how dynamic whole-brain states shape the DMN’s contributions to semantic cognition across contexts.

语义认知使我们能够理解语言，解释感知输入，检索知识，并产生有意义的思想。默认模式网络（DMN）经常参与语义任务，但它的确切贡献仍然存在争议，因为它参与了广泛的认知状态和领域，包括自发思维、自传式记忆和社会认知。这篇综述认为，虽然DMN的作用很难用传统的心理学术语来定义，但它支持语义认知的几个核心过程。这些包括整合多感官特征，利用长期知识来指导思想和感知，以及实现上下文适当的检索。DMN在皮层层次中的位置——与感觉和运动区域的距离最大——允许它连接不同的信息源，代表抽象知识，并灵活地与其他大型网络连接。我们提出了一个状态空间框架，以捕获DMN如何基于内在连接模式随时间动态地与其他系统交互。语义检索发生在不同的网络状态下——当DMN和执行控制网络共同激活以支持费力的搜索时，或者当它们解耦时，控制系统引导目标导向的检索，DMN支持更自动的知识访问。DMN区域也可以与感知区域耦合或分离。这个框架强调了动态全脑状态如何塑造DMN对跨上下文语义认知的贡献。

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引用次数: 0

The default mode network and emotion — dual roles of the medial prefrontal cortex in emotional experience and regulation 默认模式网络与情绪——内侧前额叶皮层在情绪体验与调节中的双重作用

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-11-18 DOI: 10.1016/j.cobeha.2025.101613

Feng Zhou , Benjamin Becker

Emotional experience and regulation emerge from coordinated activity across large‑scale brain networks, including the default mode network (DMN). This review synthesizes evidence for the crucial roles of the medial prefrontal cortex (mPFC), a key DMN hub, in emotional processing and regulation. We first embed the classic ventral‑positive/dorsal‑negative mPFC distinction within a DMN functional gradient framework, demonstrating that during emotional experience dorsal mPFC (dmPFC) and ventral mPFC (vmPFC) shift toward opposite ends of the DMN gradient, consistent with functional differentiation. We next reconceptualize emotion regulation along a control‑demand axis: dmPFC, in concert with frontoparietal control regions, engages during effortful reappraisal, whereas vmPFC supports automatic, low-effort processes such as extinction or placebo effects. With practice, regulation shifts toward progressively more automatic vmPFC‑based processes. We integrate vmPFC’s modality‑general affect coding with self‑referential appraisal and a low‑dimensional, grid‑structured affective map that links valuation to subjective experience. Finally, we outline future directions to probe dynamic DMN contributions to emotional processes. This perspective clarifies DMN contributions to emotional processes through distinct but complementary processes and can inform research and interventions in emotional disorders.

情绪体验和调节来自大规模大脑网络的协调活动，包括默认模式网络（DMN）。这篇综述综合了关于内侧前额叶皮层（mPFC）在情绪处理和调节中的关键作用的证据，mPFC是一个关键的DMN中枢。我们首先在DMN功能梯度框架中嵌入经典的腹侧mPFC阳性/背侧mPFC阴性区分，证明在情绪体验中，背侧mPFC （dmPFC）和腹侧mPFC （vmPFC）向DMN梯度的两端移动，与功能分化一致。接下来，我们沿着控制-需求轴重新定义情绪调节：dmPFC与额顶叶控制区一起，在努力的重新评估过程中参与，而vmPFC支持自动的、低努力的过程，如消失或安慰剂效应。随着实践，监管逐渐转向更自动的vmPFC为基础的过程。我们将vmPFC的模态-一般影响编码与自我参照评估和低维，网格结构的情感地图相结合，将评估与主观经验联系起来。最后，我们概述了未来探索动态DMN对情绪过程的贡献的方向。这一观点阐明了DMN通过不同但互补的过程对情绪过程的贡献，可以为情绪障碍的研究和干预提供信息。

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引用次数: 0

Loneliness as a transdiagnostic risk factor for mental and physical health in adulthood — state of the evidence, research gaps, and ways forward 孤独作为成人身心健康的一种跨诊断风险因素——证据现状、研究差距和前进方向

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-11-14 DOI: 10.1016/j.cobeha.2025.101614

Mareike Ernst

Loneliness has been increasingly recognized as a transdiagnostic risk factor impacting both mental and physical health. This review synthesizes current meta-analyses, systematic reviews, and the most recent empirical studies to assess loneliness as a determinant of psychological symptoms and disorders, including depression, anxiety, and suicidal thoughts and behaviors, as well as its role in physical health outcomes such as cardiovascular disease, diabetes, and neurocognitive disorders. Loneliness contributes to these health risks through multiple pathways, including stress, physiological dysregulation, and maladaptive behavioral patterns. This review also outlines research gaps and future directions: Despite consistent associations across samples and analytical strategies, methodological challenges persist — particularly in establishing causality. It remains unclear whether loneliness is a cause, correlate, or consequence of poor health, largely due to the reliance on cross-sectional studies and insufficient attention to confounders, mediators, and colliders. Addressing these limitations requires theory-driven data collection and evaluation and interdisciplinary collaboration.

孤独越来越被认为是影响身心健康的一种跨诊断风险因素。本综述综合了当前的荟萃分析、系统综述和最新的实证研究，以评估孤独作为心理症状和障碍的决定因素，包括抑郁、焦虑、自杀念头和行为，以及它在身体健康结果（如心血管疾病、糖尿病和神经认知障碍）中的作用。孤独通过多种途径导致这些健康风险，包括压力、生理失调和适应不良的行为模式。这篇综述还概述了研究差距和未来的方向：尽管样本和分析策略之间存在一致的联系，但方法上的挑战仍然存在——特别是在建立因果关系方面。目前尚不清楚孤独是健康状况不佳的原因、关联还是后果，这主要是由于对横断面研究的依赖，以及对混杂因素、中介因素和碰撞因素的关注不足。解决这些限制需要理论驱动的数据收集和评估以及跨学科合作。

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引用次数: 0

Linking homeostasis to reinforcement learning: internal state control of motivated behavior 将内稳态与强化学习联系起来：动机行为的内部状态控制

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-11-05 DOI: 10.1016/j.cobeha.2025.101611

Naoto Yoshida , Henning Sprekeler , Boris Gutkin

For living beings, survival depends on effective regulation of internal physiological states through motivated behaviors. In this perspective, we propose homeostatically regulated reinforcement learning (HRRL) as a framework to describe biological agents that optimize internal states via learned predictive control strategies, integrating biological principles with computational learning. We show that HRRL inherently produces multiple behaviors such as risk aversion, anticipatory regulation, and adaptive movement, aligning with observed biological phenomena. Its extension to deep reinforcement learning enables autonomous exploration, hierarchical behavior, and potential real-world robotic applications. We argue further that HRRL offers a biologically plausible foundation for understanding motivation, learning, and decision-making, with broad implications for artificial intelligence (AI), neuroscience, and understanding the causes of psychiatric disorders, ultimately advancing our understanding of adaptive behavior in complex environments.

对于生物来说，生存依赖于通过动机行为对内部生理状态的有效调节。从这个角度来看，我们提出稳态调节强化学习（HRRL）作为一个框架来描述通过学习预测控制策略优化内部状态的生物代理，将生物学原理与计算学习相结合。我们发现，HRRL固有地产生了多种行为，如风险规避、预期调节和适应性运动，与观察到的生物现象一致。它对深度强化学习的扩展使自主探索、分层行为和潜在的现实世界机器人应用成为可能。我们进一步认为，HRRL为理解动机、学习和决策提供了生物学上合理的基础，对人工智能（AI）、神经科学和理解精神疾病的原因具有广泛的影响，最终促进了我们对复杂环境中适应性行为的理解。

引用次数: 0

The canonical default network comprises parallel distributed networks with distinct medial temporal lobe connections 典型的默认网络包括具有不同内侧颞叶连接的平行分布网络

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-10-31 DOI: 10.1016/j.cobeha.2025.101610

Rodrigo M Braga

The default network (DN) is associated with a variety of introspective cognitive processes. Recent developments support that the ‘canonical’ DN comprises at least two parallel distributed networks, DN-A and DN-B, which are closely interdigitated in the individual brain. However, the two networks can be clearly distinguished by their connections with different medial temporal lobe (MTL) structures, which help explain each network’s involvement in different aspects of introspection: DN-A plays a role in mental scene construction and is prominently connected to the anterior hippocampus, parahippocampal cortex, and medial entorhinal cortex. Meanwhile, DN-B plays a role in social cognition and is prominently connected to the amygdala and more lateral entorhinal cortex. These different MTL connections help explain the heterogeneity of functions within the canonical DN, and putatively may shape the fractionation of these distinct networks during brain development, such that different cortical networks end up handling interactions with different MTL regions.

默认网络（DN）与多种内省认知过程有关。最近的研究表明，“典型”DN至少包括两个并行的分布式网络，DN- a和DN- b，它们在个体大脑中紧密交叉。然而，这两个网络可以通过它们与不同内侧颞叶（MTL）结构的连接来清楚地区分，这有助于解释每个网络参与内省的不同方面：DN-A在心理场景构建中起作用，并与海马前部、海马旁皮层和内侧内嗅皮层显著相连。同时，DN-B在社会认知中发挥作用，与杏仁核和更外侧的内嗅皮层有显著联系。这些不同的MTL连接有助于解释规范DN内功能的异质性，并推测可能在大脑发育过程中塑造这些不同网络的分离，从而不同的皮层网络最终处理与不同MTL区域的相互作用。

引用次数: 0

Phenomenological approaches to loneliness: a conceptual review 孤独的现象学研究：概念回顾

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-10-30 DOI: 10.1016/j.cobeha.2025.101612

Sanna Karoliina Tirkkonen

This review examines key developments in recent research literature on the phenomenology of loneliness. In the behavioral sciences, loneliness is commonly defined as the perceived discrepancy between anticipated and actual quality of relationships. Understood as a subjective experience rather than an objective condition, loneliness is also of interest to philosophical phenomenology, which investigates lived experience through conceptual means. Concepts shape how a phenomenon is perceived as an object of study and determine which dimensions of experience are emphasized. Phenomenology examines loneliness from the first-person perspective, analyzing the fundamental structures — selfhood, intersubjectivity, affectivity, embodiment, and spatiality — that condition all experiencing. This article shows that theoretical commitments influence which types of practical solutions and therapeutic or social interventions authors propose for alleviating loneliness. The literature identifies evaluation as a notable theme, though it is mostly discussed from an individual perspective rather than in relation to the social norms and values that shape expectations of social connection. Therefore, future research should focus on analyzing these normative dimensions and their role in shaping experiences of loneliness.

本文回顾了最近关于孤独现象学的研究文献的主要进展。在行为科学中，孤独通常被定义为预期关系质量与实际关系质量之间的感知差异。孤独被理解为一种主观体验，而不是客观条件，哲学现象学也对孤独感兴趣，它通过概念手段研究生活经验。概念塑造了一个现象如何被视为一个研究对象，并决定了经验的哪个维度被强调。现象学从第一人称的角度审视孤独，分析了基本结构——自我、主体间性、情感、化身和空间性——这些构成了所有体验的条件。本文表明，理论承诺影响作者提出的缓解孤独的实际解决方案和治疗或社会干预措施的类型。文献将评估确定为一个值得注意的主题，尽管它主要是从个人角度讨论的，而不是与塑造社会联系期望的社会规范和价值观有关。因此，未来的研究应侧重于分析这些规范维度及其在塑造孤独体验中的作用。

{"title":"Phenomenological approaches to loneliness: a conceptual review","authors":"Sanna Karoliina Tirkkonen","doi":"10.1016/j.cobeha.2025.101612","DOIUrl":"10.1016/j.cobeha.2025.101612","url":null,"abstract":"<div><div>This review examines key developments in recent research literature on the phenomenology of loneliness. In the behavioral sciences, loneliness is commonly defined as the perceived discrepancy between anticipated and actual quality of relationships. Understood as a subjective experience rather than an objective condition, loneliness is also of interest to philosophical phenomenology, which investigates lived experience through conceptual means. Concepts shape how a phenomenon is perceived as an object of study and determine which dimensions of experience are emphasized. Phenomenology examines loneliness from the first-person perspective, analyzing the fundamental structures — selfhood, intersubjectivity, affectivity, embodiment, and spatiality — that condition all experiencing. This article shows that theoretical commitments influence which types of practical solutions and therapeutic or social interventions authors propose for alleviating loneliness. The literature identifies evaluation as a notable theme, though it is mostly discussed from an individual perspective rather than in relation to the social norms and values that shape expectations of social connection. Therefore, future research should focus on analyzing these normative dimensions and their role in shaping experiences of loneliness.</div></div>","PeriodicalId":56191,"journal":{"name":"Current Opinion in Behavioral Sciences","volume":"66 ","pages":"Article 101612"},"PeriodicalIF":3.5,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

What were critical quantitative methods back then: does it inform what they are today? 当时的关键定量方法是什么？它对今天的定量方法有什么影响吗？

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-10-25 DOI: 10.1016/j.cobeha.2025.101609

Odis Johnson Jr.

This article provides three examples in neighborhood effects research of how anti-oppressive quantitative work existed prior to the emergence of QuantCrit, and asks how might the movement regard work of this type within its history of development? In these examples, anti-oppressive quantitative and computational methodological practices demonstrate empirical innovation to reveal Black marginalization and relative white privilege. Yet, little conceptualizing within extant literature addresses the anti-oppressive work (addressing racial and intersectional oppression foremost) that predated the broad recognition of QuantCrit or how this early work may have contributed to its ascent. Despite the existence of work that uses transformative quantitative and computational practices, the works of white supremacy rationalists appear in foundational QuantCrit scholarship as the primary motivation for the much-needed epistemic shift. My contention in this article is that as the field further defines the methods of QuantCrit research, perhaps it should endeavor to curate the history of earlier quantitative and computational methodological practices that were also advancing a liberatory science and anti-racism possibilities.

本文提供了三个邻里效应研究的例子，说明在QuantCrit出现之前，反压迫的量化工作是如何存在的，并询问该运动在其发展历史中如何看待这类工作？在这些例子中，反压迫的定量和计算方法实践展示了实证创新，揭示了黑人边缘化和相对白人特权。然而，在现有文献中，很少有概念化的内容涉及到在QuantCrit得到广泛认可之前的反压迫工作（首先是解决种族和交叉压迫问题），或者这些早期工作如何促进了QuantCrit的崛起。尽管存在使用变革性定量和计算实践的工作，但白人至上理性主义者的工作在QuantCrit基础学术中出现，作为急需的认知转变的主要动机。我在这篇文章中的论点是，随着该领域进一步定义QuantCrit研究的方法，也许它应该努力整理早期定量和计算方法实践的历史，这些实践也推动了解放科学和反种族主义的可能性。

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引用次数: 0

The role of the default mode network in aesthetic appeal 网络默认模式在审美诉求中的作用

IF 3.5 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-10-22 DOI: 10.1016/j.cobeha.2025.101608

Edward A. Vessel , Hannah Ovadia

Aesthetically appealing experiences, during which a person can derive hedonic pleasure from the act of sense-making, are highly impactful. In addition to modulation of sensory and reward systems, aesthetically appealing experiences with visual art engage the default mode network (DMN). DMN activity and connectivity increase for a variety of other appealing and engaging stimuli, including narratives and, in some cases, music and dance, but not during other experiences with music nor for appealing landscapes. We evaluate hypotheses for how the DMN contributes to aesthetic appeal, focusing on the network’s role in sense-making. We suggest that differential DMN engagement for aesthetically valued stimuli reflects differences in the need for integration of complex information — between external information and internal aspects of the self-construct, and also across time. By studying these rare yet deeply meaningful brain states, cognitive neuroscience can achieve a more complete understanding of complex network dynamics during naturalistic cognition.

具有审美吸引力的体验是非常有影响力的，在这种体验中，一个人可以从创造意义的行为中获得享乐的快感。除了调节感官和奖励系统外，视觉艺术的美学吸引力体验还涉及默认模式网络（DMN）。DMN的活动和连通性在各种其他吸引人的刺激下会增加，包括叙述，在某些情况下，包括音乐和舞蹈，但在其他音乐体验或吸引人的风景中不会增加。我们评估了DMN如何促进审美吸引力的假设，重点关注网络在意义构建中的作用。我们认为，审美价值刺激的不同DMN参与反映了复杂信息整合需求的差异——在自我构建的外部信息和内部方面之间，以及跨越时间的差异。通过研究这些罕见但意义深远的大脑状态，认知神经科学可以更全面地了解自然认知过程中复杂的网络动态。

引用次数: 0

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