利用fMRI和fNIRS提取数据结构操作的神经表征

Yu Huang, Xinyu Liu, R. Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach, Westley Weimer
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引用次数: 28

摘要

数据结构渗透到软件工程的许多方面,但是与它们相关的人类认知过程并没有被完全理解。我们利用医学成像和空间能力的心理学概念的见解来解码几个基本数据结构及其操作的神经表示。在一项涉及76名参与者的人体研究中,我们使用功能近红外光谱(fNIRS)和功能磁共振成像(fMRI)检查了列表、数组、树和心理旋转任务。我们发现了一种微妙的关系:数据结构和空间操作使用相同的大脑焦点区域,但程度不同。它们是相关但不同的神经任务。此外,更难的计算机科学问题比纯粹的空间推理问题诱发更高的认知负荷。最后,虽然fNIRS更便宜,也更容易使用,但有些与计算相关的大脑区域只有fMRI才能到达。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distilling Neural Representations of Data Structure Manipulation using fMRI and fNIRS
Data structures permeate many aspects of software engineering, but their associated human cognitive processes are not thoroughly understood. We leverage medical imaging and insights from the psychological notion of spatial ability to decode the neural representations of several fundamental data structures and their manipulations. In a human study involving 76 participants, we examine list, array, tree, and mental rotation tasks using both functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI). We find a nuanced relationship: data structure and spatial operations use the same focal regions of the brain but to different degrees. They are related but distinct neural tasks. In addition, more difficult computer science problems induce higher cognitive load than do problems of pure spatial reasoning. Finally, while fNIRS is less expensive and more permissive, there are some computing-relevant brain regions that only fMRI can reach.
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