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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Decoding of intentional actions from scalp electroencephalography (EEG) in freely-behaving infants
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Decoding of intentional actions from scalp electroencephalography (EEG) in freely-behaving infants

机译：在自由行为婴幼儿中解码头皮脑电图（EEG）的故意行为

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The mirror neuron system (MNS) in humans is thought to enable an individual's understanding of the meaning of actions performed by others and the potential imitation and learning of those actions. In humans, electroencephalographic (EEG) changes in sensorimotor a-band at central electrodes, which desynchronizes both during execution and observation of goal-directed actions (i.e., ц suppression), have been considered an analog to MNS function. However, methodological and developmental issues, as well as the nature of generalized ц suppression to imagined, observed, and performed actions, have yet to provide a mechanistic relationship between EEG ц-rhythm and MNS function, and the extent to which EEG can be used to infer intent during MNS tasks remains unknown. In this study we present a novel methodology using active EEG and inertial sensors to record brain activity and behavioral actions from freely-behaving infants during exploration, imitation, attentive rest, pointing, reaching and grasping, and interaction with an actor. We used 5-band (1–4Hz) EEG as input to a dimensionality reduction algorithm (locality-preserving Fisher's discriminant analysis, LFDA) followed by a neural classifier (Gaussian mixture models, GMMs) to decode the each MNS task performed by freely-behaving 6–24 month old infants during interaction with an adult actor. Here, we present results from a 20-month male infant to illustrate our approach and show the feasibility of EEG-based classification of freely occurring MNS behaviors displayed by an infant. These results, which provide an alternative to the ц-rhythm theory of MNS function, indicate the informative nature of EEG in relation to intentionality (goal) for MNS tasks which may support action-understanding and thus bear implications for advancing the understanding of MNS function.
机译：人类的镜子神经元系统（MNS）被认为能够让个人对其他人所表达的行动的意义以及这些行动的潜在模仿和学习的意义。在人类中，脑电图（EEG）在中央电极处的传感器A-带中的变化，在进行和观察目标定向动作期间（即，抑制），已经被认为是模拟到MNS函数。然而，方法论和发育问题，以及广义抑制到想象的，观察和执行动作的性质尚未提供EEG节奏和MNS函数之间的机械关系，以及可以使用EEG的程度在MNS任务期间推断意图仍然是未知的。在这项研究中，我们用活跃的脑电图和惯性传感器提出了一种新颖的方法，以记录在探索，模仿，细心休息，指向，伸展和抓住以及与演员的互动期间从自由行为婴儿中记录大脑活动和行为行为。我们使用5频段（1-4Hz）eeg作为输入到维度减少算法（地方保留渔民判别分析，LFDA），然后是神经分类器（高斯混合模型，GMMS）来解码自由执行的每个MNS任务在与成人演员的互动期间表现为6-24个月的婴幼儿。在这里，我们提出了一个20个月的男性婴儿的结果，以说明我们的方法，并展示了婴儿显示的自由发生的MNS行为的基于EEG的分类的可行性。这些结果提供了MNS函数的节奏理论的替代品，表明了脑电图的信息性质（目标）与MNS任务有关，这可能支持行动理解，从而对推进对MNS功能的理解的影响。

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