Synaptic connectivity mapping among thousands of neurons via parallelized intracellular recording with a microhole electrode array

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Nature Biomedical Engineering Pub Date : 2025-02-11 DOI:10.1038/s41551-025-01352-5
Jun Wang, Woo-Bin Jung, Rona S. Gertner, Hongkun Park, Donhee Ham
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Abstract

The massive parallelization of neuronal intracellular recording, which enables the measurement of synaptic signals across a neuronal network, and thus the mapping and characterization of synaptic connections, is an open challenge, with the state of the art being limited to the mapping of about 300 synaptic connections. Here we report a 4,096 platinum/platinum-black microhole electrode array fabricated on a complementary metal-oxide semiconductor chip for parallel intracellular recording and thus for synaptic-connectivity mapping. The microhole–neuron interface, together with current-clamp electronics in the underlying semiconductor chip, allowed a 90% average intracellular coupling rate in rat neuronal cultures, generating network-wide intracellular-recording data with abundant synaptic signals. From these data, we extracted more than 70,000 plausible synaptic connections among more than 2,000 neurons and catalogued them into electrical synaptic connections and into inhibitory, weak/uneventful excitatory and strong/eventful excitatory chemical synaptic connections, with an estimated overall error rate of about 5%. This scale of synaptic-connectivity mapping and the ability to characterize synaptic connections is a step towards the functional connectivity mapping of large-scale neuronal networks. The parallel intracellular recording of neurons via an array of 4,096 microhole electrodes on a semiconductor chip enables the large-scale mapping of synaptic connections, as shown with rat neuronal cultures.

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通过微孔电极阵列的并行胞内记录,绘制数千个神经元间的突触连接图谱
神经元细胞内记录的大规模并行化,使得测量跨神经元网络的突触信号,从而映射和表征突触连接成为可能,这是一个公开的挑战,目前的技术状态仅限于映射约300个突触连接。本文报道了在互补金属氧化物半导体芯片上制备的4,096铂/铂黑微孔电极阵列,用于并行细胞内记录,从而用于突触连接映射。微孔-神经元界面与底层半导体芯片中的电流箝位电子元件一起,使大鼠神经元培养物的细胞内偶联率平均达到90%,产生具有丰富突触信号的全网络细胞内记录数据。从这些数据中,我们从2000多个神经元中提取了7万多个看似合理的突触连接,并将它们分类为电突触连接和抑制性、弱/无事件兴奋性和强/有事件兴奋性化学突触连接,估计总体错误率约为5%。这种突触连接映射的规模和表征突触连接的能力是迈向大规模神经元网络功能连接映射的一步。
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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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