Multidimensional recording (MDR) and data sharing: an ecological open research and educational platform for neuroscience.
Multidimensional recording (MDR) and data sharing: an ecological open research and educational platform for neuroscience.
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DOI：
10.1371/journal.pone.0022561
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
Fujii N
中科院分区：
文献类型：
--
作者：
Nagasaka Y;Shimoda K;Fujii N
灵长类神经生理学在单细胞水平和群体水平揭示了各种神经机制。然而，由于记录技术已经几十年没有更新，可以应用于新兴的社会神经科学领域的实验设计类型是有限的，特别是那些涉及现实社会环境中的互动。为了解决这些限制并允许实验设计更自由地了解动态适应性神经功能，开发了多维记录（MDR）。MDR通过使用集成的多个记录系统同时获得行为、神经、眼睛位置和其他生物数据。MDR在实验设计中提供了广泛的自由度，因为行为约束的水平可以根据实验要求进行调整，同时仍然保持信号质量。MDR的最大优点是它可以在网络水平上以更高的时间分辨率提供来自多个受试者的稳定神经信号，持续数月，这是其他方法无法提供的。传统的MDR数据的事件相关分析显示与以前的研究结果一致的结果，而新的分析方法可以揭示网络机制，以前不能被调查。MDR数据现在在公共服务器Neurotycho.org上共享，这些记录和共享方法支持一个对所有人开放的生态系统，将成为了解神经网络动态机制的有价值和强大的研究/教育平台。
Primate neurophysiology has revealed various neural mechanisms at the single-cell level and population level. However, because recording techniques have not been updated for several decades, the types of experimental design that can be applied in the emerging field of social neuroscience are limited, in particular those involving interactions within a realistic social environment. To address these limitations and allow more freedom in experimental design to understand dynamic adaptive neural functions, multidimensional recording (MDR) was developed. MDR obtains behavioral, neural, eye position, and other biological data simultaneously by using integrated multiple recording systems. MDR gives a wide degree of freedom in experimental design because the level of behavioral restraint is adjustable depending on the experimental requirements while still maintaining the signal quality. The biggest advantage of MDR is that it can provide a stable neural signal at higher temporal resolution at the network level from multiple subjects for months, which no other method can provide. Conventional event-related analysis of MDR data shows results consistent with previous findings, whereas new methods of analysis can reveal network mechanisms that could not have been investigated previously. MDR data are now shared in the public server Neurotycho.org. These recording and sharing methods support an ecological system that is open to everyone and will be a valuable and powerful research/educational platform for understanding the dynamic mechanisms of neural networks.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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