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不同的新皮质机制是人类体感皮层(SI)对正中神经和激光诱发的外周激活做出反应的基础。

Distinct neocortical mechanisms underlie human SI responses to median nerve and laser-evoked peripheral activation.

作者信息

Thorpe Ryan V, Black Christopher J, Borton David A, Hu Li, Saab Carl Y, Jones Stephanie R

机构信息

Department of Neuroscience, Brown University, Providence, RI, United States.

School of Engineering, Brown University, Providence, RI, United States.

出版信息

Imaging Neurosci (Camb). 2024 Feb 22;2. doi: 10.1162/imag_a_00095. eCollection 2024.

Abstract

Magneto- and/or electro-encephalography (M/EEG) are non-invasive clinically relevant tools that have long been used to measure electromagnetic fields in the somatosensory cortex evoked by innocuous and noxious somatosensory stimuli. Two commonly applied stimulation paradigms that produce distinct responses in the primary somatosensory cortex (SI) linked to innocuous and noxious sensations are electrical median nerve (MN) stimulation and cutaneous laser-evoked (LE) stimulation to the dorsum of the hand, respectively. Despite their prevalence, the physiological mechanisms that produce stereotypic macroscale MN and LE responses have yet to be fully articulated, limiting their utility in understanding brain dynamics associated with non-painful and/or painful somatosensation. Through a literature review, we detailed features of MN and LE responses source-localized to SI that are robust and reproducible across studies. We showed that the first peak in the MN response at 20 ms post-stimulus (i.e., MN N1) corresponds to upward-directed deep-to-superficial electrical current flow through the cortical laminae, which is followed by downward-directed current at ~30 ms (i.e., MN P1). In contrast, the initial LE response occurs later at ~170 ms (i.e., LE N1) and is directed downward and opposite the direction of the MN N1. We then examined the neocortical circuit mechanisms contributing to the robust features of each response using the Human Neocortical Neurosolver (HNN) neural modeling software tool (Neymotin et al., 2020). Using HNN as a hypothesis development and testing tool, model results predicted the MN response can be simulated with a sequence of layer-specific thalamocortical and cortico-cortical synaptic drive similar to that previously reported for tactile evoked responses (S. R. Jones et al., 2007; Neymotin et al., 2020), with the novel discovery that an early excitatory input to supragranular layers at ~30 ms is an essential mechanism contributing to the downward current flow of the MN P1. Model results further predicted that the initial ~170 ms downward current flow of the LE N1 was generated by a burst of repetitive gamma-frequency (40 Hz) excitatory synaptic drive to supragranular layers, consistent with prior reports of LE gamma-frequency activity. These results make novel and detailed multiscale predictions about the dynamic laminar circuit mechanisms underlying temporal and spectral features of MN and LE responses in SI and can guide further investigations in follow-up studies. Ultimately, these findings may help with the development of targeted therapeutics for pathological somatosensation, such as somatic sensitivity and acute neuropathic pain.

摘要

磁脑电图和/或脑电图(M/EEG)是临床相关的非侵入性工具,长期以来一直用于测量无害和有害体感刺激诱发的体感皮层中的电磁场。两种常用的刺激范式分别是电刺激正中神经(MN)和手背皮肤激光诱发(LE)刺激,它们在与无害和有害感觉相关的初级体感皮层(SI)中产生不同的反应。尽管它们很常见,但产生刻板宏观MN和LE反应的生理机制尚未完全阐明,这限制了它们在理解与非疼痛和/或疼痛体感相关的脑动力学方面的效用。通过文献综述,我们详细介绍了在SI中源定位的MN和LE反应的特征,这些特征在各研究中是稳健且可重复的。我们表明,刺激后约20毫秒时MN反应中的第一个峰值(即MN N1)对应于通过皮层板层从深到浅的向上电流,随后在约30毫秒时出现向下电流(即MN P1)。相比之下,最初的LE反应稍后在约170毫秒时出现(即LE N1),且方向向下,与MN N1的方向相反。然后,我们使用人类新皮层神经求解器(HNN)神经建模软件工具(Neymotin等人,2020年)研究了促成每种反应稳健特征的新皮层回路机制。将HNN用作假设开发和测试工具,模型结果预测MN反应可以用一系列层特异性丘脑皮层和皮层皮层突触驱动来模拟,类似于先前报道的触觉诱发反应(S.R.琼斯等人,2007年;Neymotin等人,2020年),新发现是在约30毫秒时对颗粒上层的早期兴奋性输入是促成MN P1向下电流流动的关键机制。模型结果进一步预测,LE N1最初约170毫秒的向下电流是由对颗粒上层的一阵重复伽马频率(约40赫兹)兴奋性突触驱动产生的,这与先前关于LE伽马频率活动的报道一致。这些结果对SI中MN和LE反应的时间和频谱特征背后的动态层状回路机制做出了新颖而详细的多尺度预测,并可指导后续研究中的进一步调查。最终,这些发现可能有助于开发针对病理性体感(如躯体敏感性和急性神经性疼痛)的靶向治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd70/12235563/8479d05f575a/imag_a_00095_fig1.jpg

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