Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials
Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials
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DOI：
10.1152/jn.00781.2011
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发表时间：
2012-03-01
影响因子：
2.5
通讯作者：
Donoghue, John P.
中科院分区：
文献类型：
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作者：
Bansal, Arjun K.;Truccolo, Wilson;Donoghue, John P.
Bansal AK，Truccolo W，Vargas-Irwin CE，Donoghue JP.从运动和前运动皮层的混合信号解码3D到达和抓握：尖峰，多单位活动和局部场电位。J Neurophysiol 107：1337 - 1355，2012.首次发表于2011年12月7日; doi：10.1152/jn.00781.2011. -运动皮层的神经活动在达到和把握运动显示调制在宽范围的信号从单神经元尖峰活动（SA）的宽带局部场电位（LFPs）的各种频带。特别是，时空模式在多波段LFP被认为是反映树突整合的本地和interareal突触输入，注意力和准备过程，以及多单元活动（MUA）相关的运动表示在本地的运动区。然而，多频带LFP和SA之间的关系，以及它们与运动参数的关系和它们作为脑机接口（BCI）控制信号的相对值，仍然知之甚少。此外，虽然这一广泛的信号可以提供补充信息渠道的主要（MI）和腹侧运动前区（PMV），区域差异的信息还没有得到系统的检查。在这里，第一次，在SA和多波段LFPs的信息量进行了比较MI和PMV的记录从双96多电极阵列，而猴子自然达到和掌握的行动。根据MI和PMv中的SA或LFP或跨区域信号类型的组合，将信息评估为3D臂终点和夹持孔径运动学的解码准确度。与以前的研究相比，16个单位（平均）比多波段，多通道LFP携带更多的信息。此外，由各种LFP频带添加的到达和抓取信息并不独立于SA集合中的到达和抓取信息，而是通常少于并且主要包含在SA集合中。值得注意的是，MI和PMv并没有表现出特别的偏见，达到或把握这项任务或广泛的信号类型。对于BCI，我们的研究结果表明，神经元系综尖峰是解码的首选信号，而LFP和PMv和MI的组合信号可以增加BCI控制的鲁棒性。
Bansal AK, Truccolo W, Vargas-Irwin CE, Donoghue JP. Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials. J Neurophysiol 107: 1337-1355, 2012. First published December 7, 2011; doi: 10.1152/jn.00781.2011.-Neural activity in motor cortex during reach and grasp movements shows modulations in a broad range of signals from single-neuron spiking activity (SA) to various frequency bands in broadband local field potentials (LFPs). In particular, spatiotemporal patterns in multiband LFPs are thought to reflect dendritic integration of local and interareal synaptic inputs, attentional and preparatory processes, and multiunit activity (MUA) related to movement representation in the local motor area. Nevertheless, the relationship between multiband LFPs and SA, and their relationship to movement parameters and their relative value as brain-computer interface (BCI) control signals, remain poorly understood. Also, although this broad range of signals may provide complementary information channels in primary (MI) and ventral premotor (PMv) areas, areal differences in information have not been systematically examined. Here, for the first time, the amount of information in SA and multiband LFPs was compared for MI and PMv by recording from dual 96-multielectrode arrays while monkeys made naturalistic reach and grasp actions. Information was assessed as decoding accuracy for 3D arm end point and grip aperture kinematics based on SA or LFPs in MI and PMv, or combinations of signal types across areas. In contrast with previous studies with 16 units (on average) carried more information than multiband, multichannel LFPs. Furthermore, reach and grasp information added by various LFP frequency bands was not independent from that in SA ensembles but rather typically less than and primarily contained within the latter. Notably, MI and PMv did not show a particular bias toward reach or grasp for this task or for a broad range of signal types. For BCIs, our results indicate that neuronal ensemble spiking is the preferred signal for decoding, while LFPs and combined signals from PMv and MI can add robustness to BCI control.