Task decomposition: a framework for comparing diverse training models in human brain plasticity studies.
Task decomposition: a framework for comparing diverse training models in human brain plasticity studies.
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DOI：
10.3389/fnhum.2013.00640
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发表时间：
2013
影响因子：
2.9
通讯作者：
Herholz SC
中科院分区：
文献类型：
--
作者：
Coffey EB;Herholz SC
训练研究，即在获得专业知识之前和之后对结构或功能神经生理学进行比较，越来越多地被用作理解人脑重组潜力的模型。事实证明，很难用这些结果来回答基本而重要的问题，比如任务训练如何导致行为的具体和普遍变化，以及这些变化如何与大脑的变化相对应。主要的罪魁祸首是用作复杂任务模型的各种范式。据报道，从变戏法到破译摩尔斯电码，各种活动应有尽有。即使在相同的一般领域工作，也很少有研究人员使用类似的训练模式。需要有意义地比较复杂任务的新方法。我们提出了一种表征和解构复杂训练范例的任务需求的方法，该方法适用于结构和功能神经成像研究。我们相信，这种方法将有助于大脑可塑性的研究，因为它使比较训练范例，识别“缺失的拼图碎片”，并鼓励研究人员设计训练方案，以弥补这些差距。
Training studies, in which the structural or functional neurophysiology is compared before and after expertise is acquired, are increasingly being used as models for understanding the human brain’s potential for reorganization. It is proving difficult to use these results to answer basic and important questions like how task training leads to both specific and general changes in behavior and how these changes correspond with modifications in the brain. The main culprit is the diversity of paradigms used as complex task models. An assortment of activities ranging from juggling to deciphering Morse code has been reported. Even when working in the same general domain, few researchers use similar training models. New ways to meaningfully compare complex tasks are needed. We propose a method for characterizing and deconstructing the task requirements of complex training paradigms, which is suitable for application to both structural and functional neuroimaging studies. We believe this approach will aid brain plasticity research by making it easier to compare training paradigms, identify “missing puzzle pieces,” and encourage researchers to design training protocols to bridge these gaps.
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