Local Fields in Human Subthalamic Nucleus Track the Lead-up to Impulsive Choices.

Local Fields in Human Subthalamic Nucleus Track the Lead-up to Impulsive Choices.
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DOI:
10.3389/fnins.2017.00646
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发表时间:
2017
影响因子:
4.3
通讯作者:
Turner DA
Turner DA
中科院分区:
医学2区
文献类型:
--
作者:
Pearson JM;Hickey PT;Lad SP;Platt ML;Turner DA

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自适应地将帕金森氏病(PD)和强迫症(OCD)等神经系统疾病的运动和认知症状降至最低的能力,是下一代深部脑刺激(DBS)设备的主要目标。已有研究表明β带同步化与帕金森病患者运动症状的严重程度之间存在联系,现已提出将β带活性最小化作为闭环式DBS的潜在训练目标。目前,帕金森病的冲动性副作用尚无可比的信号,尽管多项研究表明,DBS治疗部位丘脑底核(STN)内的theta带活动参与了冲突监测和逆转过程。在这里,我们通过在自定进度的决策任务中从STN内的多个独立通道记录来解决这一挑战,以测试这些信号是否携带足够的信息来在逐个试验的基础上预测停止行为。与以前的研究一样,我们发现局部场势(LFP)在自我启动运动之前表现出调制,在审议期间功率在多个频率上倾斜。此外,在做出决定的时候,信号显示出能量的阶段性变化。然而,一个试图使用这些信号来预测决策时间的前瞻性模型显示,风险水平的影响并没有随着LFP作为回归变量的增加而改善。这些发现表明,在STN中,跟踪冲动选择的信息分布在多个频率尺度上,尽管目前的技术可能没有足够的信噪比来预测--从而抑制--时刻的冲动行为。
The ability to adaptively minimize not only motor but cognitive symptoms of neurological diseases, such as Parkinson's Disease (PD) and obsessive-compulsive disorder (OCD), is a primary goal of next-generation deep brain stimulation (DBS) devices. On the basis of studies demonstrating a link between beta-band synchronization and severity of motor symptoms in PD, the minimization of beta band activity has been proposed as a potential training target for closed-loop DBS. At present, no comparable signal is known for the impulsive side effects of PD, though multiple studies have implicated theta band activity within the subthalamic nucleus (STN), the site of DBS treatment, in processes of conflict monitoring and countermanding. Here, we address this challenge by recording from multiple independent channels within the STN in a self-paced decision task to test whether these signals carry information sufficient to predict stopping behavior on a trial-by-trial basis. As in previous studies, we found that local field potentials (LFPs) exhibited modulations preceding self-initiated movements, with power ramping across multiple frequencies during the deliberation period. In addition, signals showed phasic changes in power around the time of decision. However, a prospective model that attempted to use these signals to predict decision times showed effects of risk level did not improve with the addition of LFPs as regressors. These findings suggest information tracking the lead-up to impulsive choices is distributed across multiple frequency scales in STN, though current techniques may not possess sufficient signal-to-noise ratios to predict—and thus curb—impulsive behavior on a moment-to-moment basis.
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