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利用温度控制的红外激光刺激器结合自适应阶梯算法选择性激活 C 纤维传入纤维,获得可靠的 EEG 反应。

Reliable EEG responses to the selective activation of C-fibre afferents using a temperature-controlled infrared laser stimulator in conjunction with an adaptive staircase algorithm.

机构信息

Institute of Neuroscience (IONS), Université catholique de Louvain, Belgium Department of Neurosurgery, CHU Mont-Godinne, Université catholique de Louvain, Belgium.

出版信息

Pain. 2013 Sep;154(9):1578-1587. doi: 10.1016/j.pain.2013.04.032. Epub 2013 Apr 20.

Abstract

Brain responses to the activation of C-fibres are obtained only if the co-activation of Aδ-fibres is avoided. Methods to activate C-fibres selectively have been proposed, but are unreliable or difficult to implement. Here, we propose an approach combining a new laser stimulator to generate constant-temperature heat pulses with an adaptive paradigm to maintain stimulus temperature above the threshold of C-fibres but below that of Aδ-fibres, and examine whether this approach can be used to record reliable C-fibre laser-evoked brain potentials. Brief CO2 laser stimuli were delivered to the hand and foot dorsum of 10 healthy subjects. The stimuli were generated using a closed-loop control of laser power by an online monitoring of target skin temperature. The adaptive algorithm, using reaction times to distinguish between late detections indicating selective activation of unmyelinated C-fibres and early detections indicating co-activation of myelinated Aδ-fibres, allowed increasing the likelihood of selectively activating C-fibres. Reliable individual-level electroencephalogram (EEG) responses were identified, both in the time domain (hand: N2: 704 ± 179 ms, P2: 984 ± 149 ms; foot: N2: 1314 ± 171 ms, P2: 1716 ± 171 ms) and the time-frequency (TF) domain. Using a control dataset in which no stimuli were delivered, a Receiver Operating Characteristics analysis showed that the magnitude of the phase-locked EEG response corresponding to the N2-P2, objectively quantified in the TF domain, discriminated between absence vs presence of C-fibre responses with a high sensitivity (hand: 85%, foot: 80%) and specificity (hand: 90%, foot: 75%). This approach could thus be particularly useful for the diagnostic workup of small-fibre neuropathies and neuropathic pain.

摘要

只有避免 Aδ 纤维的共同激活,才能获得对 C 纤维激活的大脑反应。已经提出了选择性激活 C 纤维的方法,但这些方法不可靠或难以实施。在这里,我们提出了一种结合新的激光刺激器产生恒温水热脉冲的方法,以及一种自适应范式来维持刺激温度高于 C 纤维但低于 Aδ 纤维的阈值,并检查这种方法是否可以用于记录可靠的 C 纤维激光诱发脑电位。我们对手和脚背部的 10 名健康受试者进行了短暂的 CO2 激光刺激。使用在线监测目标皮肤温度来控制激光功率的闭环,生成刺激。自适应算法使用反应时间来区分晚期检测,晚期检测表明未髓鞘化的 C 纤维的选择性激活,以及早期检测,早期检测表明有髓鞘化的 Aδ 纤维的共同激活,从而增加了选择性激活 C 纤维的可能性。我们在个体水平上识别出了可靠的脑电图(EEG)反应,包括时域(手:N2:704±179ms,P2:984±149ms;脚:N2:1314±171ms,P2:1716±171ms)和时频(TF)域。使用没有刺激的控制数据集,进行了接收器操作特征分析,结果表明,在 TF 域中客观量化的与 N2-P2 相对应的锁相 EEG 反应的幅度,可以区分 C 纤维反应的有无,具有较高的敏感性(手:85%,脚:80%)和特异性(手:90%,脚:75%)。因此,这种方法对于小纤维神经病变和神经性疼痛的诊断工作特别有用。

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