Closed-loop stimulation using a multiregion brain-machine interface has analgesic effects in rodents.
Closed-loop stimulation using a multiregion brain-machine interface has analgesic effects in rodents.
复制标题
使用多区域脑机接口的闭环刺激对啮齿动物具有镇痛作用。
DOI:
10.1126/scitranslmed.abm5868
复制
发表时间:
2022-06-29
影响因子:
17.1
通讯作者:
中科院分区:
文献类型:
--
作者:
Effective treatments for chronic pain remain limited. Conceptually, a closed-loop neural interface combining sensory signal detection with therapeutic delivery could produce timely and effective pain relief. Such systems are challenging to develop due to difficulties in accurate pain detection and ultrafast analgesic delivery. Pain has sensory and affective components, encoded in large part by neural activities in the primary somatosensory cortex (S1) and anterior cingulate cortex (ACC), respectively. Meanwhile, studies show that stimulation of the prefrontal cortex (PFC) produces descending pain control. Here, we designed and tested a brain-machine interface (BMI) combining an automated pain detection arm, based on simultaneously recorded local field potential (LFP) signals from the S1 and ACC, with a treatment arm, based on optogenetic activation or electrical deep brain stimulation (DBS) of the PFC in freely behaving rats. Our multi-region neural interface accurately detected and treated acute evoked pain as well as chronic pain. This neural interface is activated rapidly and its efficacy remained stable over time. Given the clinical feasibility of LFP recordings and DBS, our findings suggest that BMI is a promising approach for pain treatment. A multi-region brain machine interface automatically detects pain and delivers ultrafast analgesia for acute and chronic pain in rodents.
登录
查看更多内容
影响因子:
4
作者:
Chestek CA;Gilja V;Nuyujukian P;Foster JD;Fan JM;Kaufman MT;Churchland MM;Rivera-Alvidrez Z;Cunningham JP;Ryu SI;Shenoy KV
通讯作者:
Shenoy KV
DOI:
10.1038/nrn3241
发表时间:
2012-05-18
期刊:
Nature reviews. Neuroscience
影响因子:
--
作者:
Buzsáki G;Anastassiou CA;Koch C
通讯作者:
Koch C
影响因子:
4
作者:
Chen Z;Zhang Q;Tong APS;Manders TR;Wang J
通讯作者:
Wang J
影响因子:
2.5
作者:
Ji, Guangchen;Neugebauer, Volker
通讯作者:
Neugebauer, Volker
影响因子:
64.8
作者:
Hochberg, Leigh R.;Serruya, Mijail D.;Donoghue, John P.
通讯作者:
Donoghue, John P.