Brodal Per
Institute of Basic Medical SciencesUniversity of Oslo, OsloNorway.
Scand J Pain. 2017 Apr;15:140-147. doi: 10.1016/j.sjpain.2017.03.001. Epub 2017 Mar 30.
This topical review starts with a warning that despite an impressive wealth of neuroscientific data, a reductionist approach can never fully explain persistent pain. One reason is the complexity of clinical pain (in contrast to experimentally induced pain). Another reason is that the "pain system" shows degeneracy, which means that an outcome can have several causes. Problems also arise from lack of conceptual clarity regarding words like nociceptors, pain, and perception. It is, for example, argued that "homeoceptor" would be a more meaningful term than nociceptor. Pain experience most likely depends on synchronized, oscillatory activity in a distributed neural network regardless of whether the pain is caused by tissue injury, deafferentation, or hypnosis. In experimental pain, the insula, the second somatosensory area, and the anterior cingulate gyrus are consistently activated. These regions are not pain-specific, however, and are now regarded by most authors as parts of the so-called salience network, which detects all kinds of salient events (pain being highly salient). The networks related to persistent pain seem to differ from the those identified experimentally, and show a more individually varied pattern of activations. One crucial difference seems to be activation of regions implicated in emotional and body-information processing in persistent pain. Basic properties of the "pain system" may help to explain why it so often goes awry, leading to persistent pain. Thus, the system must be highly sensitive not to miss important homeostatic threats, it cannot be very specific, and it must be highly plastic to quickly learn important associations. Indeed, learning and memory processes play an important role in persistent pain. Thus, behaviour with the goal of avoiding pain provocation is quickly learned and may persist despite healing of the original insult. Experimental and clinical evidence suggest that the hippocampal formation and neurogenesis (formation of new neurons) in the dentate gyrus are involved in the development and maintenance of persistent pain. There is evidence that persistent pain in many instances may be understood as the result of an interpretation of the organism's state of health. Any abnormal pattern of sensory information as well as lack of expected correspondence between motor commands and sensory feedback may be interpreted as bodily threats and evoke pain. This may, for example, be an important mechanism in many cases of neuropathic pain. Accordingly, many patients with persistent pain show evidence of a distorted body image. Another approach to understanding why the "pain system" so often goes awry comes from knowledge of the dynamic and nonlinear behaviour of neuronal networks. In real life the emergence of persistent pain probably depends on the simultaneous occurrence of numerous challenges, and just one extra (however small) might put the network into a an inflexible state with heightened sensitivity to normally innocuous inputs. Finally, the importance of seeking the meaning the patient attributes to his/her pain is emphasized. Only then can we understand why a particular person suffers so much more than another with very similar pathology, and subsequently be able to help the person to alter the meaning of the situation.
本专题综述开篇即发出警示,尽管神经科学数据极为丰富,但还原论方法永远无法完全解释持续性疼痛。原因之一是临床疼痛(与实验诱导疼痛不同)的复杂性。另一个原因是“疼痛系统”表现出简并性,这意味着一个结果可能有多种成因。对于伤害感受器、疼痛和感知等词汇缺乏概念清晰度也会引发问题。例如,有人认为“内感受器”比伤害感受器更有意义。疼痛体验很可能取决于分布式神经网络中的同步振荡活动,无论疼痛是由组织损伤、传入神经阻滞还是催眠引起的。在实验性疼痛中,脑岛、第二躯体感觉区和前扣带回始终会被激活。然而,这些区域并非疼痛特异性的,现在大多数作者将它们视为所谓显著网络的一部分,该网络能检测各种显著事件(疼痛是高度显著的)。与持续性疼痛相关的网络似乎与实验中识别出的网络不同,且显示出更具个体差异的激活模式。一个关键差异似乎是持续性疼痛中涉及情绪和身体信息处理的区域被激活。“疼痛系统”的基本特性或许有助于解释为何它常常出错,导致持续性疼痛。因此,该系统必须高度敏感,以免错过重要的内稳态威胁,它不能非常特异,且必须具有高度可塑性,以便快速学习重要关联。事实上,学习和记忆过程在持续性疼痛中起着重要作用。因此,旨在避免疼痛激发的行为会很快习得,并且可能在最初的损伤愈合后仍持续存在。实验和临床证据表明,海马结构和齿状回中的神经发生(新神经元的形成)参与了持续性疼痛的发展和维持。有证据表明,在许多情况下,持续性疼痛可能被理解为机体对健康状态的一种解读结果。任何异常的感觉信息模式以及运动指令与感觉反馈之间缺乏预期的对应关系都可能被解读为身体威胁并引发疼痛。例如,这可能是许多神经性疼痛病例中的一个重要机制。相应地,许多持续性疼痛患者表现出身体意象扭曲的证据。理解“疼痛系统”为何常常出错的另一种方法来自对神经网络动态和非线性行为的认识。在现实生活中,持续性疼痛的出现可能取决于众多挑战的同时发生,而仅仅一个额外的(无论多么微小)因素可能就会使网络进入一种僵化状态,对通常无害的输入变得高度敏感。最后,强调了探寻患者赋予其疼痛的意义的重要性。只有这样,我们才能理解为什么一个特定的人比另一个患有非常相似病理的人遭受更多痛苦,进而能够帮助这个人改变对这种情况的认知。