Toward a Neuroscientific Understanding of Play: A Dimensional Coding Framework for Analyzing Infant-Adult Play Patterns.
Toward a Neuroscientific Understanding of Play: A Dimensional Coding Framework for Analyzing Infant-Adult Play Patterns.
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DOI：
10.3389/fpsyg.2018.00273
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发表时间：
2018
影响因子：
3.8
通讯作者：
Leong V
中科院分区：
文献类型：
--
作者：
Neale D;Clackson K;Georgieva S;Dedetas H;Scarpate M;Wass S;Leong V
在生命早期，游戏是一种无处不在的活动，个体的游戏倾向与认知发展和情感健康呈正相关。游戏行为（可能是单独的或与社交伙伴共享的）是多种多样的。当前研究面临的一个挑战是集中在一个共同的游戏定义和测量系统上——无论是在行为、认知还是神经水平上进行检查。在多模态分析中结合这些不同的方法可以在理解游戏的神经认知机制方面取得重大进展，并为开发基于生物学的游戏模型提供基础。然而，目前还没有一个综合的框架来对游戏进行跨大脑、认知和行为的多模态分析。提出的编码框架使用基础和可观察的行为沿着三个维度（感觉运动，认知和社会情感），计算在社会背景下的游戏行为的推论，以及相关的社会互动状态。在实验条件下，在不利于（条件1）或有利于（条件2）玩耍行为出现的情况下，我们使用两个对比鲜明的母子面向对象互动的二元语料库（N = 5）来说明所提出的编码框架的敏感性和实用性。我们发现，该框架准确地识别了社会互动的模态形式，即非游戏性（条件1）或游戏性（条件2），并进一步提供了关于二分体中社会互动质量差异和时间同步性的有用见解。这种游戏行为的细粒度编码将很容易与成人-婴儿游戏过程中收集的神经数据的未来分析相结合，并为其提供信息。综上所述，我们提出了一个新的框架来分析成人-婴儿游戏模式的连续时间进化，该框架以感觉运动、认知和社会情感维度的生物知情状态编码为基础。我们期望所提出的框架将在希望采用综合的、多模式的方法来研究游戏的研究人员中得到广泛的应用，并导致对游戏的神经科学基础的更好理解。它也可能产生新的基于生物学的游戏互动分类的见解。
Play during early life is a ubiquitous activity, and an individual’s propensity for play is positively related to cognitive development and emotional well-being. Play behavior (which may be solitary or shared with a social partner) is diverse and multi-faceted. A challenge for current research is to converge on a common definition and measurement system for play – whether examined at a behavioral, cognitive or neurological level. Combining these different approaches in a multimodal analysis could yield significant advances in understanding the neurocognitive mechanisms of play, and provide the basis for developing biologically grounded play models. However, there is currently no integrated framework for conducting a multimodal analysis of play that spans brain, cognition and behavior. The proposed coding framework uses grounded and observable behaviors along three dimensions (sensorimotor, cognitive and socio-emotional), to compute inferences about playful behavior in a social context, and related social interactional states. Here, we illustrate the sensitivity and utility of the proposed coding framework using two contrasting dyadic corpora (N = 5) of mother-infant object-oriented interactions during experimental conditions that were either non-conducive (Condition 1) or conducive (Condition 2) to the emergence of playful behavior. We find that the framework accurately identifies the modal form of social interaction as being either non-playful (Condition 1) or playful (Condition 2), and further provides useful insights about differences in the quality of social interaction and temporal synchronicity within the dyad. It is intended that this fine-grained coding of play behavior will be easily assimilated with, and inform, future analysis of neural data that is also collected during adult–infant play. In conclusion, here, we present a novel framework for analyzing the continuous time-evolution of adult–infant play patterns, underpinned by biologically informed state coding along sensorimotor, cognitive and socio-emotional dimensions. We expect that the proposed framework will have wide utility amongst researchers wishing to employ an integrated, multimodal approach to the study of play, and lead toward a greater understanding of the neuroscientific basis of play. It may also yield insights into a new biologically grounded taxonomy of play interactions.
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