Reactivation of emergent task-related ensembles during slow-wave sleep after neuroprosthetic learning.
Reactivation of emergent task-related ensembles during slow-wave sleep after neuroprosthetic learning.
复制标题
神经假体学习后慢波睡眠期间，紧急任务相关的合奏重新激活。
DOI：
10.1038/nn.3759
复制
发表时间：
2014-08
影响因子：
25
通讯作者：
Ganguly K
中科院分区：
文献类型：
--
作者：
Gulati T;Ramanathan DS;Wong CC;Ganguly K
脑机接口可以让神经控制辅助设备。它们也为研究神经可塑性提供了一个重要的平台。最近的研究表明，最佳的学习投入对于健壮的神经假体控制是必不可少的。然而，人们对巩固神经假体技能的神经过程知之甚少。基于越来越多的证据将睡眠中的慢波活动(SWA)与巩固联系起来，我们检查了在神经假体学习后是否存在“离线”处理。使用啮齿动物模型，这里我们表明，在成功学习后，任务相关单位在睡眠期间对SWA的锁定和一致性增加。此外，这些单位之间的穗-穗一致性显著增强。这些变化在技能习得不佳或控制清醒后没有出现，表明了我们观察到的学习的特殊性。有趣的是，在SWA中花费的时间预测了性能的提高。因此，SWA似乎在神经假体学习后的离线处理中发挥了作用。
Brain-Machine Interfaces can allow neural control over assistive devices. They also provide an important platform to study neural plasticity. Recent studies indicate that optimal engagement of learning is essential for robust neuroprosthetic control. However, little is known about the neural processes that may consolidate a neuroprosthetic skill. Based on the growing body of evidence linking slow-wave activity (SWA) during sleep to consolidation, we examined if there is ‘offline’ processing after neuroprosthetic learning. Using a rodent model, here we show that after successful learning, task-related units specifically experienced increased locking and coherency to SWA during sleep. Moreover, spike-spike coherence among these units was significantly enhanced. These changes were not present with poor skill acquisition or after control awake periods, demonstrating specificity of our observations to learning. Interestingly, time spent in SWA predicted performance gains. Thus, SWA appears to play a role in offline processing after neuroprosthetic learning.
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影响因子：
64.8
作者：
Moritz, Chet T.;Perlmutter, Steve I.;Fetz, Eberhard E.
通讯作者：
Fetz, Eberhard E.
DOI：
10.1073/pnas.0808113105
发表时间：
2008-12-09
影响因子：
11.1
作者：
Jarosiewicz, Beata;Chase, Steven M.;Schwartz, Andrew B.
通讯作者：
Schwartz, Andrew B.
影响因子：
5.3
作者：
Arduin, Pierre-Jean;Fregnac, Yves;Ego-Stengel, Valerie
通讯作者：
Ego-Stengel, Valerie
影响因子：
9.8
作者：
Ganguly K;Carmena JM
通讯作者：
Carmena JM
影响因子：
25
作者：
Ganguly, Karunesh;Dimitrov, Dragan F.;Wallis, Jonathan D.;Carmena, Jose M.
通讯作者：
Carmena, Jose M.