神经科学视角下的共情研究热点

共情是指个体对他人情绪和想法的感受及理解。近年来关于共情神经机制的研究日益增多,但多集中在情感共情、认知共情、生理性疼痛共情等方面,而对社会痛共情、积极共情和不对称共情反应的研究相对较少。且由于研究范式及个体差异等原因,研究结果之间也充满着争议。未来研究可以设计更具生态效度的共情研究范式、进一步深化和细化共情的神经机制研究、从神经机制角度探讨不同共情能力个体的特点及共情反应的调节因素。     

The standard ontological framework of cognitive neuroscience: Some lessons from Broca’s area

Since cognitive neuroscience aims at giving an integrated account of mind and brain, its ontology should include both neural and cognitive entities and specify their relations. According to what we call the standard ontological framework of cognitive neuroscience (SOFCN), the aim of cognitive neuroscience should be to establish one-to-one mappings between neural and cognitive entities. Where such entities do not yet closely align, this can be achieved by reforming the cognitive ontology, the neural ontology, or both. In order to assess the limits and the possibilities of the SOFCN, we will examine a paradigmatic case study: the concept of Broca’s area, which indicates an alleged mapping between the left inferofrontal gyrus and the production of language. We review evidence showing that such a mapping does not hold, thus calling into question either the status of Broca’s area or the validity of the SOFCN. We then propose some strategies for addressing the issue and suggest that it may be solved within the SOFCN by adopting both of the following strategies: first, more accurately defining the relevant neural structures and second, switching the focus of neural ontology from structures to events, individuated by a where (neural structures) conjoint with a how (oscillatiory frequency).     

SYSTEMS BIOLOGY AND PREDICTIVE NEUROSCIENCE: A DOUBLE HELICAL APPROACH

This article explores the overlap between systems biology and predictive neuroscience, placing them in their larger context, the contemporary trend of bioinformatic convergence across the sciences. These two domains overlap with respect to their interest in data accumulation and data integration; their reliance on computational statistical correlation; and their translational goals, that is, producing practical fruits and applications from the interscientific cross‐pollination that contemporary data‐integrative approaches make possible. The interventions that such translational conversations generate are medical and social in nature, and are aimed at both prevention (through prediction) and treatment. It will be argued that such approaches, socially and medically applied, contain potential for conveying both agency‐enhancing and agency‐diminishing social messages. The article concludes with a call to balance the overwhelmingly quantitative focus characteristic of predictive neuroscience with more qualitative empirical methodologies. This would represent a double helical approach.     

Predicting Dropout in Counseling Using Affect Coding of the Therapeutic Relationship: An Empirical Analysis

This study used an observational research method to examine affective counselor–client exchanges during the initial session of counseling for clients who dropped out of counseling and clients who remained in counseling. Results confirmed significant differences in the affect codes of clients and counselors between the 2 groups. Discriminant function analyses classified 77% of counselors and clients in the correct groups and correctly classified over 94% of clients who returned for 4 or more sessions.     

On listening to “The Scarlet Tide” (by T Bone Burnett and Elvis Costello) from Cold Mountain: a movie song and its afterlife

This article examines how the emerging concept of affective space can be applied to movie soundtracks, with particular reference to “The Scarlet Tide” written by T Bone Burnett and Elvis Costello for the film Cold Mountain (dir. Anthony Minghella 2003) and the implications this has for the place of religion in film culture. The article explores how affective space works with the experience of individual listeners and the wider social context. Both affective expressions can shape how this track is received and integrated into a process of meaning making. The article concludes with an assessment of some implications that this discussion has for understanding the social nature of music, religion, and spirituality.     

二语情绪概念理解中的空间隐喻

采用空间启动范式考察二语情绪概念理解中是否激活空间信息, 即是否存在空间隐喻。实验1探讨单通道二语情绪概念理解中的空间隐喻, 实验2则探讨跨通道二语情绪概念理解中的空间隐喻。实验1中让32名母语为汉语的汉-英双语者先看一个英文情绪词, 接着进行视觉空间位置判断, 最后再让被试判断之前呈现的情绪词是积极词还是消极词。实验2中40名母语为汉语的汉-英双语者完成跟实验1类似的任务, 不同之处为英文情绪词以听觉形式呈现。两个实验的结果表明, 跨语言和跨通道的情绪词的空间隐喻受到空间位置方向的影响。垂直位置方向上, 二语情绪词在单通道和跨通道中都表现出了空间隐喻; 水平位置方向上, 二语情绪词没有表现出空间隐喻。该结果说明了情绪概念的空间隐喻会受到个体经验的影响, 进一步支持了知觉符号理论。     

媒体暴力与攻击性：社会认知神经科学视角

媒体暴力与攻击性之间是否存在因果关系一直存在争论。随着社会认知神经科学的兴起,研究者可以通过ERP和fMRI等技术进一步对媒体暴力与攻击性的内在联系进行研究。本文首先分析媒体暴力与攻击性在社会认知神经科学领域取得的最新研究成果,特别是ERP和fMRI成果。其次,指出该领域研究中应该注意被试、工具以及研究方法的选择。最后,未来可以从不同年龄段、不同媒体暴力形式、以催化剂模型为理论背景等多方面进行社会认知神经机制的研究,另外,构建媒体暴力影响攻击性的认知神经模型也是未来一个有价值的研究方向。     

Reflections on the clinical implications of symbolism

We start by stressing the idea that the process itself of constructing the symbol in its different components and its vicissitudes is centrally important to contemporary psychoanalysis as symbols are essential for thinking and for storing emotional experiences in our memory and for conveying our affects to others and to ourselves. Our implicit idea is that internal attacks are not directed only at the internal objects, but also include attacks on the structure or forms of the mental representations before and while they become constituted in symbols. It is by this means that destructive impulses invade the processes of symbolic construction. Symbols can lose their plasticity and thus silence the emotions and therefore cut off the patient from their meanings. Our clinical material allows us to increase our understanding of how the formal qualities of symbols operate in mental life, and how they can interfere in the capacity to work through emotional experiences. Finally, our reflections based on the analysis of a patient with difficulty in relating with the meanings of the symbols he produced will highlight the importance of the analyst's reverie along the process of formulating an interpretation. This paper is also part of a development in the study of the process of reverie.     

Analyzing temporal patterns of infant sleep and negative affective behavior: a comparison between different statistical models

Objective

Variability in infant sleep and negative affective behavior (NAB) is a developmental phenomenon that has long been of interest to researchers and clinicians. However, analyses and delineation of such temporal patterns were often limited to basic statistical approaches, which may prevent adequate identification of meaningful variation within these patterns. Modern statistical procedures such as additive models may detect specific patterns of temporal variation in infant behavior more effectively.

Method

Hundred and twenty-one mothers were asked to record different behaviors of their 4–44 weeks old healthy infants by diaries for three days consecutively. Circadian patterns as well as individual trajectories and day-to-day variability of infant sleep and NAB were modeled with generalized linear models (GLMs) including a linear and quadratic polynomial for time, a GLM with a polynomial of the 8th order, a GLM with a harmonic function, a generalized linear mixed model (GLMM) with a polynomial of the 8th order, a generalized additive model, and a generalized additive mixed model (GAMM).

Results

The semi-parametric model GAMM was found to fit the data of infant sleep better than any other parametric model used. GLMM with a polynomial of the 8th order and GAMM modeled temporal patterns of infant NAB equally well, although the GLMM exhibited a slightly better model fit while GAMM was easier to interpret. Besides the well-known evening clustering in infant NAB we found a significant second peak in NAB around midday that was not affected by the constant decline in the amounts of NAB across the 3-day study period.

Conclusion

Using advanced statistical procedures (GAMM and GLMM) even small variations and phenomena in infant behavior can be reliably detected. Future studies investigating variability and temporal patterns in infant variables may benefit from these statistical approaches.     

Promoting Translational Research Among Movement Science,Occupational Science,and Occupational Therapy

Integration of research in the fields of neural control of movement and biomechanics (collectively referred to as movement science) with the field of human occupation directly benefits both areas of study. Specifically, incorporating many of the quantitative scientific methods and analyses employed in movement science can help accelerate the development of rehabilitation-relevant research in occupational therapy (OT) and occupational science (OS). Reciprocally, OT and OS, which focus on the performance of everyday activities (occupations) to promote health and well-being, provide theoretical frameworks to guide research on the performance of actions in the context of social, psychological, and environmental factors. Given both fields’ mutual interest in the study of movement as it relates to health and disease, the authors posit that combining OS and OT theories and principles with the theories and methods in movement science may lead to new, impactful, and clinically relevant knowledge. The first step is to ensure that individuals with OS or OT backgrounds are academically prepared to pursue advanced study in movement science. In this article, the authors propose 2 strategies to address this need.