A study on combining local field potential and single unit activity for better neural decoding

A study on combining local field potential and single unit activity for better neural decoding
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DOI:
10.1002/ima.20287
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发表时间:
2011-06
影响因子:
3.3
通讯作者:
Shaomin Zhang;Bo Jiang;Junming Zhu;Qiaosheng Zhang;Weidong Chen;Xiaoxiang Zheng;Ting Zhao
Shaomin Zhang;Bo Jiang;Junming Zhu;Qiaosheng Zhang;Weidong Chen;Xiaoxiang Zheng;Ting Zhao
中科院分区:
计算机科学4区
文献类型:
--
作者:
Shaomin Zhang;Bo Jiang;Junming Zhu;Qiaosheng Zhang;Weidong Chen;Xiaoxiang Zheng;Ting Zhao

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最近的研究表明,运动皮层的局部场电位(LFP)携带有关肢体运动参数的信息,可以作为脑-机接口的候选神经信号来控制外部设备。然而,目前尚不清楚LFP能提供多少信息以及如何在BMI中有效使用。在这篇文章中,我们系统地评估了执行压杆任务的大鼠初级运动皮层的LFP和单单位活动(SUA)的组合解码性能。结果表明,在时频模式下结合SUA和LFP可以显著提高解码功率,该时频模式基于LFP到多个频带的分离。此外,我们发现,使用所有频带可能是最好的选择,因为它产生了更好的或没有显着更差的结果比使用低或高频段。这意味着LFP的不同频率分量携带不同的信息。此外,我们证明了即使SUA随着时间的推移而消失,该组合也可以稳定解码性能。这些结果表明,LFP中的不同频率分量在运动学解码中发挥不同的作用,并且LFP和SUA的组合可能是用于改善脑机接口中的神经解码的有前途的策略。Int J Imaging Syst Technol,21,165-172,2011
Recent studies showed that the local field potential (LFP) in motor cortex carries information about parameters of limb movements and could be used as a candidate neural signal in brain‐machine interfaces to control external devices. However, it is yet to be clear how much information LFP can offer and how it can be effectively used in BMIs. In this article, we systematically evaluated the decoding performance of combining LFP and single‐unit activity (SUA) from the primary motor cortex of rats performing the lever‐pressing task. The results showed that the decoding power could be significantly improved by combining SUA and LFP in the time‐frequency mode, which is based on the separation of LFP into multiple frequency bands. Furthermore, we found that using all frequency bands might be the best choice because it yielded better or no significantly worse results than using low or high frequency bands only. This implies that different frequency components of LFP carry different information. Moreover, we demonstrated that the combination could stabilize the decoding performance even if SUA disappears over time. These results suggest that the different frequency components in the LFP play different roles in kinematics decoding and the combination of LFPs and SUA could be a promising strategy for improving neural decoding in brain‐machine interfaces.© 2011 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 21, 165–172, 2011