Decoding the perception of pain from fMRI using multivariate pattern analysis.
Decoding the perception of pain from fMRI using multivariate pattern analysis.
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DOI：
10.1016/j.neuroimage.2012.08.035
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发表时间：
2012-11-15
期刊：
影响因子：
5.7
通讯作者：
Tracey, Irene
中科院分区：
文献类型：
--
作者：
Brodersen, Kay H.;Wiech, Katja;Lomakina, Ekaterina I.;Lin, Chia-shu;Buhmann, Joachim M.;Bingel, Ulrike;Ploner, Markus;Stephan, Klaas Enno;Tracey, Irene
已知疼痛包括感觉、认知和情感方面。然而，尽管之前有大量的功能磁共振成像研究，但哪种活动的空间分布足以编码刺激是否被感知为疼痛仍然是一个开放的问题。在这项研究中，我们分析了来自感知决策任务的功能磁共振成像数据，其中参与者暴露于近阈值激光脉冲。通过对不同空间尺度的多变量分析，我们研究了功能磁共振成像数据的预测能力，以解码刺激是否被认为是痛苦的。我们的分析得出了大脑区域的排序：在疼痛预期期间，导水管周围灰质（PAG）和眶额皮质（OFC）的活动提供了疼痛和非疼痛体验之间最准确的逐次试验区分；而在实际刺激过程中，初级和次级体感皮层、前岛叶、背外侧和腹外侧前额皮质以及 OFC 最具辨别力。然而，对刺激期间疼痛感知的最准确预测是通过通常称为“疼痛矩阵”的疼痛区域的组合活动来实现的。我们的结果表明，（接近阈值）疼痛的神经表征是空间分布的，并且可以在中间空间尺度上进行最好的描述。除了在建立结构功能映射方面的实用性之外，我们的方法还提供了逐次试验的预测，因此代表着朝着建立疼痛感知的客观神经元标记的目标迈出了一步。 ► 受试者在接受功能磁共振成像时接受了一系列接近阈值的疼痛刺激。 ► 我们研究了疼痛感知背后的大脑活动的多变量模式。 ► PAG、VLPFC、DLPFC、前岛叶和 OFC 高度预测疼痛。 ► 然而，这些区域的组合可提供最高的准确度。 ► 这表明疼痛被编码在分布式网络中。
Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial distribution of activity is sufficient to encode whether a stimulus is perceived as painful or not. In this study, we analyzed fMRI data from a perceptual decision-making task in which participants were exposed to near-threshold laser pulses. Using multivariate analyses on different spatial scales, we investigated the predictive capacity of fMRI data for decoding whether a stimulus had been perceived as painful. Our analysis yielded a rank order of brain regions: during pain anticipation, activity in the periaqueductal gray (PAG) and orbitofrontal cortex (OFC) afforded the most accurate trial-by-trial discrimination between painful and non-painful experiences; whereas during the actual stimulation, primary and secondary somatosensory cortex, anterior insula, dorsolateral and ventrolateral prefrontal cortex, and OFC were most discriminative. The most accurate prediction of pain perception from the stimulation period, however, was enabled by the combined activity in pain regions commonly referred to as the ‘pain matrix’. Our results demonstrate that the neural representation of (near-threshold) pain is spatially distributed and can be best described at an intermediate spatial scale. In addition to its utility in establishing structure-function mappings, our approach affords trial-by-trial predictions and thus represents a step towards the goal of establishing an objective neuronal marker of pain perception. ► Subjects received a series of near-threshold pain stimuli while undergoing fMRI. ► We studied multivariate patterns of brain activity underlying pain perception. ► PAG, VLPFC, DLPFC, anterior insula, and OFC were highly predictive of pain. ► Yet the highest accuracies were afforded by combinations of these regions. ► This suggests that pain is encoded in a distributed network.
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影响因子：
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DOI：
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期刊：
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