Current Opinion in Behavioral Sciences最新文献

英文中文

Quantitative rigor through critical consciousness: bridging methods in education research 批判性意识中的定量严谨性：教育研究中的桥梁方法

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-06-09 DOI: 10.1016/j.cobeha.2025.101542

Ben Van Dusen , Jayson Nissen

This article explores how critical theory informs quantitative methods to tackle systemic inequities in education. We critique traditional quantitative training that prioritizes procedural rigor without examining assumptions and advocate for intersectional regression models, specifically Multilevel Analysis of Individual Heterogeneity and Discriminant Analysis (MAIHDA) and Bayesian approaches. We also address challenges like missing data and model uncertainty through strategies like multiple imputation and compatibility intervals, enhancing methodological robustness, and ethical integrity. We introduce the concept of educational debts to shift the focus from individual deficits to systemic responsibilities, highlighting the practical and theoretical benefits of these approaches. Ultimately, this article guides researchers in using quantitative tools that acknowledge identity and power dynamics, aiming to foster more equitable scientific inquiry.

本文探讨了批判理论如何为定量方法提供信息，以解决教育中的系统性不平等。我们批评传统的定量训练，它优先考虑程序的严谨性而不检查假设，并提倡交叉回归模型，特别是个体异质性和判别分析的多层次分析（MAIHDA）和贝叶斯方法。我们还通过多种策略来解决数据缺失和模型不确定性等挑战，如多重输入和兼容间隔，增强方法稳健性和道德完整性。我们引入教育债务的概念，将重点从个人赤字转移到系统责任，强调这些方法的实践和理论好处。最后，本文指导研究人员使用承认身份和权力动力学的定量工具，旨在促进更公平的科学探究。

引用次数: 0

Leveraging AI to advance psychological research for climate policy 利用人工智能推进气候政策的心理学研究

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-06-06 DOI: 10.1016/j.cobeha.2025.101547

Dhara Yu , Bill D Thompson , Rachit Dubey

Addressing climate change requires passing ambitious green policies, yet these policies often face significant public resistance. In this article, we highlight the potential of artificial intelligence (AI) to help overcome this challenge by deepening our understanding of the psychological factors influencing reasoning and decision-making about climate policy. We explore how AI can be leveraged as a tool to gain deeper insights into the factors driving public resistance, improve communication about policies, and aid the design of more effective, human-centered policies.

应对气候变化需要通过雄心勃勃的绿色政策，但这些政策往往面临巨大的公众阻力。在本文中，我们强调了人工智能（AI）的潜力，通过加深我们对影响气候政策推理和决策的心理因素的理解，帮助克服这一挑战。我们探讨了如何利用人工智能作为一种工具，更深入地了解推动公众抵制的因素，改善政策沟通，并帮助设计更有效、以人为本的政策。

引用次数: 0

Core of consciousness: the default mode network as nexus of convergence and divergence in the human brain 意识的核心：默认模式网络作为人脑汇聚和发散的纽带

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-06-04 DOI: 10.1016/j.cobeha.2025.101545

Andrea I Luppi , Dian Lyu , Emmanuel A Stamatakis

We propose an integrative view of the default mode network (DMN) as the anatomical and functional nexus for the interplay of convergence and divergence in the human brain. A growing body of evidence indicates that both DMN convergence and divergence are compromised across pharmacological and pathological perturbations of consciousness. Breakdown of DMN spatiotemporal continuity induces a collapse of the cortical functional hierarchy and failure to integrate self and world into a coherent stream of consciousness. Looking ahead, there is exciting potential for pharmacological and brain stimulation interventions that may be able to rebalance DMN functioning to restore consciousness. Altogether, an integrative understanding of the DMN’s functional role in terms of convergence and divergence sheds light on the mechanisms underlying both normal and perturbed states of consciousness.

我们提出了一个默认模式网络（DMN）作为人类大脑趋同和分化相互作用的解剖学和功能联系的综合观点。越来越多的证据表明，DMN趋同和分化在意识的药理学和病理学扰动中都受到损害。DMN时空连续性的破坏导致皮层功能层次的崩溃，无法将自我和世界整合成一个连贯的意识流。展望未来，药理学和脑刺激干预有令人兴奋的潜力，可能能够重新平衡DMN功能以恢复意识。总之，对DMN在趋同和分化方面的功能作用的综合理解，揭示了意识正常状态和扰动状态背后的机制。

引用次数: 0

Using control theory to study visuomotor control abilities in normal adults, athletes, and patients with neuromotor disorders 运用控制理论研究正常成人、运动员和神经运动障碍患者的视运动控制能力

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-05-15 DOI: 10.1016/j.cobeha.2025.101535

Li Li

Control theory, a field rooted in engineering and mathematics, aims to understand and influence the behavior of dynamic systems to achieve desired outcomes. Its principles are particularly suited for studying human visuomotor control, as humans inherently operate as dynamic systems. Visuomotor behaviors require the continuous integration of visual input with motor responses, often in the presence of disturbances or unpredictable changes. By applying control theory, researchers gain significant insights into how the visual system processes information to produce adaptive motor outputs, enabling the simulation and prediction of precise movements, such as eye and manual tracking, driving, and playing sports. This review highlights recent progress in applying classical control theory to investigate visuomotor control across diverse populations, including normal adults, athletes, and individuals with neuromotor disorders like Parkinson’s disease. Future directions for research are also discussed, emphasizing the potential of control theory methods to deepen our understanding of visuomotor control and improve therapeutic interventions.

控制理论是一个植根于工程和数学的领域，旨在理解和影响动态系统的行为，以达到预期的结果。它的原理特别适合于研究人类的视觉运动控制，因为人类本身就是一个动态系统。视觉运动行为需要视觉输入与运动反应的持续整合，通常在存在干扰或不可预测的变化的情况下。通过应用控制理论，研究人员获得了视觉系统如何处理信息以产生自适应运动输出的重要见解，从而能够模拟和预测精确的运动，例如眼睛和手动跟踪，驾驶和运动。本文综述了应用经典控制理论研究不同人群视觉运动控制的最新进展，包括正常成年人、运动员和帕金森病等神经运动障碍患者。本文还讨论了未来的研究方向，强调了控制理论方法在加深我们对视觉运动控制的理解和改进治疗干预方面的潜力。

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引用次数: 0

Default mode network synchrony reflects shared understanding

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-05-14 DOI: 10.1016/j.cobeha.2025.101540

Tal Ohad , Yohay Zvi , Yaara Yeshurun

The default mode network (DMN) has been linked to self-reflection and theory of mind, suggesting that it facilitates understanding others by reflecting on ourselves. This raises the question of whether shared (synchronized) DMN responses are associated with mutual understanding. The current paper reviews studies on DMN synchronization during shared understanding of external events, regarding experimentally manipulated states (with presentation of external contexts), inherent traits (e.g. paranoia), interpersonal closeness (e.g. friends), and group identity (e.g. political affiliation). It also reviews DMN synchronization in shared understanding of interpersonal events, as in communication (e.g. teachers and students). We propose four research directions: investigating the role of DMN synchronization in simulating others’ mental states, testing if DMN synchronization is a trait, exploring its causal role in shared understanding, and testing coupling beyond synchronization. Advancing knowledge on DMN synchronization could answer fundamental questions about shared understanding and foster positive interactions among individuals and groups.

默认模式网络（DMN）与自我反思和心智理论有关，表明它通过反思自己来促进理解他人。这就提出了一个问题，即共享（同步）DMN反应是否与相互理解有关。本文综述了在外部事件的共同理解过程中DMN同步的研究，包括实验操纵状态（具有外部上下文的呈现）、固有特征（如偏执）、人际关系亲密（如朋友）和群体认同（如政治派别）。它还回顾了对人际事件的共同理解中的DMN同步，如在交流中（例如教师和学生）。我们提出了四个研究方向：研究DMN同步性在模拟他人心理状态中的作用、测试DMN同步性是否为一种特质、探索其在共享理解中的因果作用以及测试同步性之外的耦合。推进DMN同步的知识可以回答关于共享理解的基本问题，并促进个人和群体之间的积极互动。

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引用次数: 0

A review of QuantCrit-informed approaches to group participants and explore ethno-racial heterogeneity in educational research

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-05-13 DOI: 10.1016/j.cobeha.2025.101537

Sauro Civitillo , Eduardo Campbell-Bethancourt , Philipp Jugert

Quantitative studies in education often treat race, ethnicity, culture, or migration status as natural, fixed units of analysis, perpetuating oversimplified views of education inequities. While uncritical, poorly theorized, and retrospective group comparisons may reinforce deficit perspectives of marginalized communities, comparative research also has the potential to highlight the unique strengths and resources these groups possess. However, conducting group-based comparisons and showcasing ethno-racial heterogeneity remains a complex challenge. To highlight critical approaches informed by the QuantCrit framework, our review describes the importance of using alternative operationalizations of ethno-racial categories, effect coding, and person-centered analysis. It also summarizes recent educational studies that have employed these approaches to critically engage with group-based comparisons in education. Our insights aim to promote conducting group-based educational studies with quantitative approaches upholding critical reflexivity.

教育领域的定量研究通常将种族、民族、文化或移民身份视为自然的、固定的分析单位，使教育不平等的观点过于简单化。虽然不加批判、缺乏理论依据和回顾性的群体比较可能会强化边缘化群体的缺陷视角，但比较研究也有可能突出这些群体拥有的独特优势和资源。然而，进行以群体为基础的比较并展示种族异质性仍然是一项复杂的挑战。为了强调QuantCrit框架提供的关键方法，我们的综述描述了使用民族-种族类别、效果编码和以人为中心的分析的替代操作化的重要性。它还总结了最近的教育研究，这些研究采用这些方法批判性地参与教育中基于群体的比较。我们的见解旨在促进开展以群体为基础的教育研究，采用坚持批判性反思的定量方法。

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引用次数: 0

The impact of public health messages on audience engagement and collective climate action 公共卫生信息对受众参与和集体气候行动的影响

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-05-13 DOI: 10.1016/j.cobeha.2025.101539

Kathryn Thier , Eryn Campbell , Sri Saahitya Uppalapati , John Kotcher , Edward Maibach

Motivating people to take collective climate action is an ongoing challenge. Recent research suggests that focusing on climate change as a human health issue is an encouraging approach. Here, we review the persuasive potential of health-framed climate messages and the importance of health professionals as trusted messengers in engaging audiences and increasing support for collective action, especially among people with lower levels of climate concern. We also examine the current state of the climate–health information environment. Our review suggests that: 1) communicating the health relevance of climate change and the health benefits of climate solutions has considerable potential to promote collective action, especially when communicated by health professionals; 2) many health professionals are motivated to communicate about this topic; and 3) information about this important topic is under-represented in the broader information environment.

激励人们采取集体气候行动是一项持续的挑战。最近的研究表明，把气候变化作为一个人类健康问题来关注是一种令人鼓舞的做法。在此，我们回顾了以健康为框架的气候信息的说服潜力，以及卫生专业人员作为值得信赖的信使在吸引受众和增加对集体行动的支持方面的重要性，特别是在气候关注程度较低的人群中。我们还研究了气候健康信息环境的现状。我们的综述表明：1)传播气候变化的健康相关性和气候解决方案的健康益处具有促进集体行动的巨大潜力，特别是当卫生专业人员传播时；2)许多卫生专业人员有动力就这一主题进行交流；3)关于这一重要话题的信息在更广泛的信息环境中代表性不足。

引用次数: 0

Editorial overview: Cognitive flexibility 编辑概述：认知灵活性

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-05-12 DOI: 10.1016/j.cobeha.2025.101534

Lucina Q Uddin , Roshan Cools

引用次数: 0

Looking backward to look forward: Tracing critical quantitative perspectives in critical consciousness research 回顾与展望：批判意识研究中的批判定量视角

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-05-12 DOI: 10.1016/j.cobeha.2025.101536

Matthew A Diemer , Michael B Frisby , Kelly M House

This paper examines the evolution of quantitative approaches in critical consciousness (CC) research through a critical quantitative (CritQuant) perspective. Historically, CC scholarship relied on qualitative methods due to concerns about the restrictive assumptions and historical biases of quantitative methodologies. However, since 2005, quantitative methods have become common in CC research. We reflect on five principles of CritQuant — foundation, goals, parity, subjectivity, and self-reflexivity — to demonstrate how they align with past and present CC research. Our hope is that CritQuant, QuantCrit, and allied methodologies will continue to inform and be informed by CC and related research.

本文通过批判定量（CritQuant）的视角考察了定量方法在批判意识（CC）研究中的演变。历史上，CC学术依赖于定性方法，因为担心定量方法的限制性假设和历史偏差。然而，自2005年以来，定量方法在CC研究中变得普遍。我们反思了CritQuant的五个原则——基础、目标、平等、主观性和自我反思——以展示它们如何与过去和现在的CC研究保持一致。我们希望CritQuant、QuantCrit和相关方法将继续为CC和相关研究提供信息，并从CC和相关研究中获得信息。

引用次数: 0

Evolution of neural mechanisms underlying the behavioral diversification of weakly electric fishes 弱电鱼类行为多样化背后的神经机制演化

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences

Pub Date : 2025-05-09 DOI: 10.1016/j.cobeha.2025.101538

Bruce A Carlson

Understanding neural mechanisms underlying behavioral diversity is a fundamental challenge in neuroscience and evolutionary biology. Weakly electric fish provide an excellent system for studying this, as they exhibit convergent evolution between distantly related clades and fine-scale neural adaptations linked to behavioral divergence within clades. These fish actively generate electric fields to communicate and sense their environment. Electric organs that generate these fields and electroreceptors that detect them have evolved multiple times independently. Despite their independent origins, these clades share numerous similarities in their electrosensory and electromotor systems across several levels of biological organization. On the other hand, studies in one particular clade have related evolutionary divergence in sensory perception and behavior to changes in electroreceptor physiology and central processing in sensory and sensorimotor pathways. Together, these findings reveal both predictability in the evolution of neural mechanisms for behavior and ways in which neural adaptations can drive behavioral diversification.

理解行为多样性背后的神经机制是神经科学和进化生物学的一个基本挑战。弱电鱼为研究这一问题提供了一个很好的系统，因为它们表现出远亲进化枝之间的趋同进化，以及与进化枝内部行为差异相关的精细神经适应。这些鱼主动产生电场来交流和感知它们的环境。产生这些电场的电器官和检测它们的电感受器已经独立进化了好几次。尽管它们的起源独立，但这些分支在生物组织的几个层次上在电感觉和电运动系统上有许多相似之处。另一方面，对一个特定分支的研究将感觉知觉和行为的进化分歧与电感受器生理和感觉和感觉运动通路的中枢加工的变化联系起来。总之，这些发现揭示了行为的神经机制进化的可预测性，以及神经适应驱动行为多样化的方式。

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