辱虐管理的应对：基于人际拒绝的多动力模型分析

随着辱虐管理产生破坏性影响的作用机制不断得到丰富和完善, 受辱虐下属选择特定应对方式的原因以及有效性成为未来辱虐管理的研究方向。基于人际拒绝的多动力模型, 梳理了在不同质量LMX的关系情境中受辱虐下属的应对方式, 并提出特定应对方式可能引起辱虐管理的恶性循环的假设模型。建议未来研究通过丰富下属的应对行为变量、增加人格和环境的调节机制以完善受辱虐下属的应对模型, 并以此为基础探究辱虐管理的消极互动机制, 为打破辱虐管理恶性循环提供理论支持。     

慈悲冥想对利他行为的影响及其认知神经机制

慈悲冥想是一类旨在培养对自己和他人无条件的善意与同情的冥想练习方法, 主要包括慈心禅和怜悯禅修。诸多研究表明, 慈悲冥想可以促进练习者的利他行为。就影响机制而言, 慈悲冥想可能是通过增强对他人不幸的共情反应, 促进情绪的有效调控和提高亲社会动机来影响练习者的利他行为。未来的研究需选择更具生态效度的利他行为测量方法, 深入挖掘慈悲冥想影响利他行为的动态神经加工过程, 并尝试将慈悲冥想应用于临床群体。     

工作反刍及其“双刃剑”效应

工作反刍指在没有要求其出现的情境下, 有意识的、重复发生的工作方面的相关想法, 分为工作相关情感反刍与工作相关问题解决沉思两个维度。工作反刍对个体健康、工作及幸福感的影响有“双刃剑”效应。持续性认知理论、压力认知激活模型与认知资源视角理论, 可以解释该效应的内在机制。未来研究应分析影响双刃剑效应的边界条件, 寻求减少消极效应、增加积极效应的途径, 拓展其双刃剑效应心理机制的分析视角和该效应的作用层面。     

隐藏情绪分析与识别方法

隐藏情绪识别对公共安全防范与预警具有重要的意义。微表情是揭示隐藏情绪的一条重要通道。但目前隐藏情绪研究较少且微表情因其细微幅度与快速出现等特性难以识别, 其研究尚未在实际中广泛应用。因为, 隐藏情绪的认知与表达机理亟需系统的研究,采集实际场景中的微表情数据, 并以脑电信号辅助微表情的精确标注是提高微表情标注效率的有效途径。深入研究微表情识别方法, 并辅以人脸颜色、注视估计和非接触生理信号等多通道数据, 以检测与识别隐藏情绪。社会公共安全是隐藏情绪分析和识别的典型场景。面向精神疾病患者两害行为(即危害自身或他人的危险行为)风险评估和服刑人员会见场景隐藏情绪检测, 可以有效地对相应系统和方法进行验证和修正。     

时间任务需求对无关情绪面孔注意捕获的影响

注意捕获是指与任务无关的刺激能够不自觉地吸引注意的现象。实验一采用视觉搜索任务,考察与主任务无关的情绪面孔的注意捕获水平及其机制,实验二进一步探究时间任务需求对无关情绪面孔注意捕获的影响。结果发现:与其他情绪面孔相比,愤怒的情绪面孔捕获了更多的注意,且受到整体情绪加工的影响;时间任务需求影响了目标刺激的注意选择,但愤怒优势效应不受到时间任务需求的影响,因此可能是一种较为自动化的加工过程。     

价值观的稳定性与可变性：基于认知神经科学的视角

价值观的稳定性和可变性一直是该领域争论的焦点所在。近些年来, 研究者开始从认知神经科学的角度来探讨导致价值观稳定性差异的机制问题。已有的神经反应证据表明, 当某种价值观是基于道义主义的绝对规则来进行认知建构的, 或与自我概念在表征上存在一致性时, 其更倾向于保持稳定的状态; 若非如此, 便可能会在外界影响(如他人劝说)下发生重要程度上的改变。未来需要进一步丰富和完善认识价值观稳定性与可变性关系的认知神经加工模型, 并探索价值观长效改变背后的认知神经机制, 以促进理论研究在价值观教育中的实践和应用。     

情绪的相容性对创造性思维的影响

为探讨具身内隐情绪和外显情绪之间的相容性和不相容性对创造性思维的影响,实验采用情绪视频启动范式诱发被试的积极情绪或消极情绪,同时采用面部表情操纵技术诱导其具身积极情绪或具身消极情绪,然后要求被试完成创造性思维测验中的替代使用任务（AUT）与顿悟字谜测验。结果发现：在积极情绪下,情绪相容组的AUT流畅性得分显著高于情绪不相容组;而在消极情绪下,情绪相容组的AUT原创性得分与顿悟字谜得分显著高于情绪不相容组;灵活性在两种情绪条件下的差异均不显著。结果表明,面部表情和外显情绪的相容性有利于创造性思维的表现,积极情绪和消极情绪下的情绪相容性分别影响着创造性思维的不同成分。     

Toward a social psychophysiology of vagally mediated heart rate variability: Concepts and methods in self‐regulation,emotion, and interpersonal processes

Theory and research on self‐regulation, emotional adjustment, and interpersonal processes focus increasingly on parasympathetic functioning, using measures of vagally mediated heart rate variability (vmHRV) or respiratory sinus arrhythmia (RSA). This review describes models of vmHRV in these areas, and issues in measurement and analysis. We propose a framework organizing theory and research as examining (a) vmHRV as an individual difference or a situational response, and (b) resting, reactive, or recovery levels. Evidence supports interpretation of individual differences in resting vmHRV as a broad biomarker for adaptive functioning, but its specificity and underlying mechanisms require elaboration. Individual differences in vagal reactivity (i.e., trait‐like differences in vmHRV decreases during challenge or stress) are less commonly studied in adults and results are mixed. Many stressors and challenges evoke temporary decreases in vmHRV, and in some research self‐regulatory effort evokes increases. In a smaller literature, positive interpersonal experiences and some restorative processes increase resting vmHRV, whereas depletion of self‐regulatory capacity through related effort decreases it. Greater attention to conceptual distinctions regarding vmHRV constructs and several methodological issues will strengthen future research. Importantly, researchers should exercise caution in equating vmHRV with specific psychosocial constructs, especially in the absence of converging assessments and precise experimental manipulations.     

Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients

Background/Objective: This study aims to characterize the differences on the short-term temporal network dynamics of the undirected and weighted whole-brain functional connectivity between healthy aging individuals and people with mild cognitive impairment (MCI). The Network Change Point Detection algorithm was applied to identify the significant change points in the resting-state fMRI register, and we analyzed the fluctuations in the topological properties of the sub-networks between significant change points. Method: Ten MCI patients matched by gender and age in 1:1 ratio to healthy controls screened during patient recruitment. A neuropsychological evaluation was done to both groups as well as functional magnetic images were obtained with a Philips 3.0T. All the images were preprocessed and statistically analyzed through dynamic point estimation tools. Results: No statistically significant differences were found between groups in the number of significant change points in the functional connectivity networks. However, an interaction effect of age and state was detected on the intra-participant variability of the network strength. Conclusions: The progression of states was associated to higher variability in the patient's group. Additionally, higher performance in the prospective and retrospective memory scale was associated with higher median network strength.     

Enhancing social diffusion theory as a basis for prevention intervention: A conceptual and strategic framework

Social diffusion theory has recently been recognized as a promising approach for large-scale disease prevention and health promotion efforts. This paper describes how principles and tactics from social cognitive theory, operant psychology, social psychology, social marketing, and the overarching stages of change model can be used to further develop the conceptual and strategic (technological) bases of social diffusion theory. Within an integrative framework, we discuss in detail more effective ways to train peer mediators of behavior change as one example of how social diffusion theory can benefit from this conceptual and strategic reformulation. We then further illustrate the use of peer mediators of change in human immunodeficiency virus (HIV) and cancer prevention intervention studies with both interventions training peer mediators to diffuse information, norms, and risk reduction strategies. Although the results of these studies showed reductions in high-risk behaviors across population segments, more closely following the framework discussed in this article should further increase the behavior change potential of future interventions based on social diffusion theory.