NeuroGrid: recording action potentials from the surface of the brain

局部场电位 神经科学 电生理学 生物神经网络 人口 心理学 神经活动 医学 环境卫生
作者
Dion Khodagholy,Jennifer N. Gelinas,Thomas Thesen,Werner Doyle,Orrin Devinsky,George G. Malliaras,György Buzsáki
出处
期刊:Nature Neuroscience [Nature Portfolio]
卷期号:18 (2): 310-315 被引量:943
标识
DOI:10.1038/nn.3905
摘要

In this technical report, Khodagholy and colleagues find that NeuroGrid, a planar, scalable and highly conformable electrode array, allows recordings of local-field potentials and stable single-unit activity from the surface of the rat cortex or hippocampus. The authors also validate NeuroGrid across species by showing that that it can capture LFP-modulated spiking activity intraoperatively in surgical patients, thus demonstrating its utility as tool for fundamental research on the human brain and in the clinic. Recording from neural networks at the resolution of action potentials is critical for understanding how information is processed in the brain. Here, we address this challenge by developing an organic material–based, ultraconformable, biocompatible and scalable neural interface array (the ‘NeuroGrid’) that can record both local field potentials(LFPs) and action potentials from superficial cortical neurons without penetrating the brain surface. Spikes with features of interneurons and pyramidal cells were simultaneously acquired by multiple neighboring electrodes of the NeuroGrid, allowing for the isolation of putative single neurons in rats. Spiking activity demonstrated consistent phase modulation by ongoing brain oscillations and was stable in recordings exceeding 1 week's duration. We also recorded LFP-modulated spiking activity intraoperatively in patients undergoing epilepsy surgery. The NeuroGrid constitutes an effective method for large-scale, stable recording of neuronal spikes in concert with local population synaptic activity, enhancing comprehension of neural processes across spatiotemporal scales and potentially facilitating diagnosis and therapy for brain disorders.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
椰果爱完成签到 ,获得积分10
1秒前
2秒前
LLLLLLLL发布了新的文献求助10
2秒前
脑洞疼应助淡定的山柏采纳,获得10
2秒前
舒适伟诚完成签到,获得积分10
2秒前
哆啦小鱼发布了新的文献求助10
2秒前
3秒前
好名字发布了新的文献求助10
4秒前
biofreak发布了新的文献求助10
4秒前
研友_EZ1aNZ发布了新的文献求助10
4秒前
爆米花应助温柔悲采纳,获得10
4秒前
小飞123发布了新的文献求助10
5秒前
cossen完成签到,获得积分0
6秒前
老实枕头完成签到,获得积分10
7秒前
7秒前
lucy完成签到,获得积分20
8秒前
朱春阳发布了新的文献求助10
8秒前
小林发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
accepted发布了新的文献求助10
10秒前
在水一方应助舒适伟诚采纳,获得30
10秒前
xjl0263完成签到,获得积分10
11秒前
12秒前
12秒前
12秒前
12秒前
13秒前
13秒前
14秒前
14秒前
15秒前
15秒前
wu关闭了wu文献求助
16秒前
17秒前
Lucas应助zpeng采纳,获得10
17秒前
DTW发布了新的文献求助10
17秒前
孟祥合发布了新的文献求助10
18秒前
霸气远锋完成签到,获得积分10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370318
求助须知:如何正确求助?哪些是违规求助? 8184259
关于积分的说明 17266518
捐赠科研通 5424904
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826