Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate.
Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate.
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DOI：
10.1088/1741-2560/13/4/046019
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发表时间：
2016-08
影响因子：
4
通讯作者：
Cui XT
中科院分区：
文献类型：
--
作者：
Degenhart AD;Eles J;Dum R;Mischel JL;Smalianchuk I;Endler B;Ashmore RC;Tyler-Kabara EC;Hatsopoulos NG;Wang W;Batista AP;Cui XT
皮层电图（ECoG），用作脑机接口（BMI）的神经记录模式，可能允许从大脑皮层表面记录场电位长时间，而不会遭受宿主组织反应的程度，这是常见的皮质内微电极。尽管从长期植入的ECoG电极获得的信号的稳定性已经开始受到关注，但迄今为止，很少有工作表征长期植入ECoG电极对底层皮层组织的影响。我们在恒河猴的皮质运动区硬膜下植入高密度ECoG电极网格666天。组织学分析显示，植入物下方的皮质损伤极小，尽管网格本身被包裹在胶原组织中。我们在组织阵列界面观察到巨噬细胞和异物巨细胞，这表明存在典型的异物反应。尽管存在这种包裹，但在植入后超过18个月观察到到达运动期间的皮质调制。这些结果表明，ECoG可以提供一种方法，通过这种方法可以获得稳定的慢性皮层记录，相对较少的组织损伤，促进临床可行的脑机接口系统的发展。
Electrocorticography (ECoG), used as a neural recording modality for brain-machine interfaces (BMIs), potentially allows for field potentials to be recorded from the surface of the cerebral cortex for long durations without suffering the host-tissue reaction to the extent that it is common with intracortical microelectrodes. Though the stability of signals obtained from chronically-implanted ECoG electrodes has begun receiving attention, to date little work has characterized the effects of long-term implantation of ECoG electrodes on underlying cortical tissue. We implanted a high-density ECoG electrode grid subdurally over cortical motor areas of a Rhesus macaque for 666 days. Histological analysis revealed minimal damage to the cortex underneath the implant, though the grid itself was encapsulated in collagenous tissue. We observed macrophages and foreign body giant cells at the tissue-array interface, indicative of a stereotypical foreign body response. Despite this encapsulation, cortical modulation during reaching movements was observed more than 18 months post-implantation. These results suggest that ECoG may provide a means by which stable chronic cortical recordings can be obtained with comparatively little tissue damage, facilitating the development of clinically-viable brain-machine interface systems.