A prototype closed-loop brain-machine interface for the study and treatment of pain.
A prototype closed-loop brain-machine interface for the study and treatment of pain.
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DOI：
10.1038/s41551-021-00736-7
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发表时间：
2023-04
影响因子：
28.1
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中科院分区：
文献类型：
--
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慢性疼痛的特征是不连续的疼痛发作，其频率和持续时间不可预测。这阻碍了对疼痛机制的研究，并有助于使用与副作用、成瘾和药物耐受性相关的药物治疗。在这里，我们展示了一个闭环式脑机接口(BMI)可以通过将痛觉的神经编码直接与治疗性皮质刺激相结合，在自由行为的大鼠中实时调节感觉-情感体验。BMI基于对从前扣带回皮质(这对疼痛处理至关重要)记录的在线分类棘波的分析，通过状态空间模型解码伤害性感觉的开始，并将实时疼痛检测与前额叶皮质(实施自上而下的伤害性调节)的光基因激活结合在一起。在大鼠中，BMI有效地抑制了由急性机械性或热痛性以及慢性炎症性或神经病理性疼痛引起的感觉和情感行为。该方法为基于需求的神经调节治疗感觉情感障碍提供了蓝图，并可进一步用于伤害性控制和研究疼痛机制。
Chronic pain is characterized by discrete pain episodes of unpredictable frequency and duration. This hinders the study of pain mechanisms, and contributes to the use of pharmacological treatments associated with side effects, addiction and drug tolerance. Here, we show that a closed-loop brain–machine interface (BMI) can modulate sensory-affective experiences in real time in freely behaving rats by coupling neural codes for nociception directly with therapeutic cortical stimulation. The BMI decodes the onset of nociception via a state-space model on the basis of the analysis of online-sorted spikes recorded from the anterior cingulate cortex (which is critical for pain processing), and couples real-time pain detection with optogenetic activation of the prelimbic prefrontal cortex (which exerts top–down nociceptive regulation). In rats, the BMI effectively inhibited sensory and affective behaviors caused by acute mechanical or thermal pain, and by chronic inflammatory or neuropathic pain. The approach provides a blueprint for demand-based neuromodulation to treat sensory-affective disorders, and could be further leveraged for nociceptive control and to study pain mechanisms.
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影响因子：
4
作者：
Chen Z;Zhang Q;Tong APS;Manders TR;Wang J
通讯作者：
Wang J
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通讯作者：
Cheppudira, Bopaiah Pooviah
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通讯作者：
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影响因子：
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作者：
DeFelice, Milena;Eyde, Nathan;Dodick, David;Dussor, Gregory O.;Ossipov, Michael H.;Fields, Howard L.;Porreca, Frank
通讯作者：
Porreca, Frank