Cruz-Garza Jesus G, Hernandez Zachery R, Tse Teresa, Caducoy Eunice, Abibullaev Berdakh, Contreras-Vidal Jose L
Laboratory for Noninvasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering, University of Houston;
Laboratory for Noninvasive Brain-Machine Interface Systems, Department of Electrical and Computer Engineering, University of Houston.
J Vis Exp. 2015 Oct 4(104):53406. doi: 10.3791/53406.
Understanding typical and atypical development remains one of the fundamental questions in developmental human neuroscience. Traditionally, experimental paradigms and analysis tools have been limited to constrained laboratory tasks and contexts due to technical limitations imposed by the available set of measuring and analysis techniques and the age of the subjects. These limitations severely limit the study of developmental neural dynamics and associated neural networks engaged in cognition, perception and action in infants performing "in action and in context". This protocol presents a novel approach to study infants and young children as they freely organize their own behavior, and its consequences in a complex, partly unpredictable and highly dynamic environment. The proposed methodology integrates synchronized high-density active scalp electroencephalography (EEG), inertial measurement units (IMUs), video recording and behavioral analysis to capture brain activity and movement non-invasively in freely-behaving infants. This setup allows for the study of neural network dynamics in the developing brain, in action and context, as these networks are recruited during goal-oriented, exploration and social interaction tasks.
了解典型和非典型发育仍然是发育人类神经科学的基本问题之一。传统上，由于可用的测量和分析技术以及受试者年龄所带来的技术限制，实验范式和分析工具一直局限于受限的实验室任务和环境。这些限制严重制约了对发育中神经动力学以及参与“实际行动和实际情境”的婴儿认知、感知和行动相关神经网络的研究。本方案提出了一种新颖的方法，用于研究婴幼儿在自由组织自身行为时的情况及其在复杂、部分不可预测且高度动态的环境中的后果。所提出的方法集成了同步高密度有源头皮脑电图（EEG）、惯性测量单元（IMU）、视频记录和行为分析，以在自由行动的婴儿中无创地捕捉大脑活动和运动。这种设置允许在发育中的大脑中研究神经网络动力学，无论是在实际行动还是实际情境中，因为这些网络是在目标导向、探索和社交互动任务中被激活的。
