CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen 518060, China.
Cell Rep Med. 2022 Dec 20;3(12):100846. doi: 10.1016/j.xcrm.2022.100846. Epub 2022 Dec 5.
Neural indicators of pain discriminability have far-reaching theoretical and clinical implications but have been largely overlooked previously. Here, to directly identify the neural basis of pain discriminability, we apply signal detection theory to three EEG (Datasets 1-3, total N = 366) and two fMRI (Datasets 4-5, total N = 399) datasets where participants receive transient stimuli of four sensory modalities (pain, touch, audition, and vision) and two intensities (high and low) and report perceptual ratings. Datasets 1 and 4 are used for exploration and others for validation. We find that most pain-evoked EEG and fMRI brain responses robustly encode pain discriminability, which is well replicated in validation datasets. The neural indicators are also pain selective since they cannot track tactile, auditory, or visual discriminability, even though perceptual ratings and sensory discriminability are well matched between modalities. Overall, we provide compelling evidence that pain-evoked brain responses can serve as replicable and selective neural indicators of pain discriminability.
神经疼痛辨别指标具有深远的理论和临床意义，但以前在很大程度上被忽视了。在这里，为了直接确定疼痛辨别能力的神经基础，我们将信号检测理论应用于三个 EEG（数据集 1-3，总 N=366）和两个 fMRI（数据集 4-5，总 N=399）数据集，其中参与者接受四种感觉模式（疼痛、触觉、听觉和视觉）和两种强度（高和低）的瞬态刺激，并报告知觉评分。数据集 1 和 4 用于探索，其他数据集用于验证。我们发现，大多数疼痛诱发的 EEG 和 fMRI 大脑反应强烈地编码疼痛辨别能力，这在验证数据集中得到了很好的复制。这些神经指标也是疼痛特异性的，因为它们不能跟踪触觉、听觉或视觉辨别能力，即使在不同模式之间，知觉评分和感觉辨别能力是匹配的。总的来说，我们提供了令人信服的证据，表明疼痛诱发的大脑反应可以作为疼痛辨别能力的可复制和选择性神经指标。
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