GRAMFC, EA4293, Research Group on Functional Cerebral Multimodal Analysis, Faculty of Medecine, 3 rue des Louvels, 80036 Amiens, France.
Brain Lang. 2012 May;121(2):110-23. doi: 10.1016/j.bandl.2011.03.010. Epub 2011 May 4.
One of the most challenging tasks in neuroscience in language studies, is investigation of the brain's ability to integrate and process information. This task can only be successfully addressed by applying various assessment techniques integrated into a multimodal approach. Each of these techniques has its advantages and disadvantages, but help to elucidate certain aspects of the capacity of neural networks to process information. These methods provide information about changes in electrical, hemodynamic and metabolic activities. Ideally, they should be noninvasive in order to facilitate their use particularly in children. In the present review, we describe the advantages of simultaneous electroencephalographic (EEG) acquisition with near infrared spectroscopy (NIRS) to provide a better understanding of the mechanisms involved in cerebral activation. This coregistration is also useful to avoid misleading interpretation of NIRS, notably during the various phases of sleep. Development and implementation of the various tools required and assessment strategies are also discussed.
在神经科学语言研究中，最具挑战性的任务之一是研究大脑整合和处理信息的能力。只有通过应用集成到多模态方法中的各种评估技术，才能成功地解决这个任务。这些技术中的每一种都有其优点和缺点，但有助于阐明神经网络处理信息的能力的某些方面。这些方法提供了关于电、血液动力学和代谢活动变化的信息。理想情况下，它们应该是非侵入性的，以便特别便于在儿童中使用。在本综述中，我们描述了同时获取脑电图（EEG）和近红外光谱（NIRS）的优势，以更好地理解大脑激活所涉及的机制。这种配准还有助于避免对 NIRS 的误导性解释，特别是在睡眠的各个阶段。还讨论了各种所需工具的开发和实施以及评估策略。
