Name: 使用高密度微电极阵列 （HD-MEA） 对海马皮质和嗅球切片进行体外电路记录
Uploaded: 2024-03-08T14:10:00
Duration: 1 min 34 s
Description: Watch this Scientific Journal Video about Ex-Vivo Circuit-Wide Recordings from Hippocampal-Cortical and Olfactory Bulb Slices Using High-Density Microelectrode Array HD-MEA at JoVE.com

ex-vivo circuit-wide recordings from hippocampal-cortical and olfactory bulb slices using high-density microelectrode array (hd-mea)

HD-MEA 上的多模态大规模神经记录和分析 

Neuronal ensembles, often termed cell assemblies, are pivotal in neural coding, facilitating intricate computations for processing multiscale neural information1,2,3. These ensembles underpin the formation of expansive neuronal networks and their nuanced microcircuits4. Such networks and their oscillatory patterns drive advanced brain functions, including perception and cognition. While extensive research has explored specific neuronal types and synaptic pathways, a deeper understanding of how neurons collaboratively form cell assemblies and influence spatiotemporal information processing across circuits and networks remains elusive5.
Acute, ex-vivo brain slices are pivotal electrophysiological tools for studying intact neural circuits, offering a controlled setting to probe oscillatory activity patterns of neural function, synaptic transmission, and connectivity, with implications in pharmacological testing and disease modeling6,7,8. This study protocol highlights two key brain circuits - the hippocampal-cortical (HC) involved in learning and memory processes9,10, and the olfactory bulb (OB) responsible for odor discrimination11,12,13. In these two regions, new functional neurons are continuously generated by adult neurogenesis throughout life in mammalian brains14. Both circuits demonstrate multidimensional dynamic neural activity patterns and inherent plasticity that participate in rewiring the existing neural network and facilitate alternative information processing strategies when required15,16.
Acute, ex-vivo brain slice models are indispensable for delving into brain functionality and understanding disease mechanisms at the microcircuit level. However, in-vitro cell cultures derived from human induced pluripotent stem cells (iPSCs) neuronal networks offer a promising avenue of translational research, seamlessly connecting findings from animal experiments to potential human clinical treatment17,18. These human-centric in-vitro assays serve as a reliable platform for assessing pharmacological toxicity, enabling precise drug screening, and furthering research into innovative cell-based therapeutic strategies19,20. Recognizing the pivotal role of the iPSC neuronal model, we have dedicated the third module of this protocol study to thoroughly investigate the functional characteristics of its derived networks and to fine-tune the associated cell culture protocols.
These electrogenic neural modules have been commonly studied using techniques like calcium (Ca2+ imaging), patch-clamp recordings, and low-density microelectrode arrays (LD-MEA). While Ca2+ imaging offers single-cell activity mapping, it is a cell-labeling-based method hindered by its low temporal resolution and challenges in long-term recordings. LD-MEAs lack spatial precision, while patch-clamp, being an invasive single-site technique and laborious, often yields a low success rate21,22,23. To address these challenges and effectively probe network-wide activity, large-scale simultaneous neural recordings have emerged as a pivotal approach for understanding the computational principles of neural dynamics underlying brain complexity and their implications in health and disease24,25.
In this JoVE protocol, we demonstrate a large-scale neural recording method based on the high-density MEA (HD-MEA) for capturing spatiotemporal neuronal activity across various brain modalities, including hippocampal and olfactory bulb circuits from ex-vivo mouse brain acute slices (Figures 1A-C) and in-vitro human iPSC-derived neuronal networks (Figures 1D-E), previously reported by our group and other colleagues26,27,28,29,30,31,32,33,34,35. The HD-MEA, built on complementary-metal-oxide-semiconductor (CMOS) technology, boasts on-chip circuitry and amplification, allowing sub-millisecond recordings across a 7mm2 array size36. This non-invasive approach captures multi-site, label-free extracellular firing patterns from thousands of neuronal ensembles simultaneously using 4096 microelectrodes at a high spatiotemporal resolution, revealing the intricate dynamics of local field potentials (LFPs) and multiunit spiking activity (MUA)26,29.
Given the vastness of the data generated by this methodology, a sophisticated analytical framework is essential, yet poses challenges37. We have developed computational tools that encompass automatic event detection, classification, graph theory, machine learning, and other advanced techniques (Figure 1F)26,29,38,39. Integrating the HD-MEA with these analytical tools, a holistic approach is devised to probe the intricate dynamics from individual cell assemblies to broader neural networks across diverse neural modalities. This combined approach deepens our grasp of the computational dynamics in normal brain functions and offers insights into anomalies present in pathological conditions28. Moreover, insights from this approach can propel advancements in brain-inspired modeling, neuromorphic computing, and neural learning algorithms. Ultimately, this method holds promise in uncovering the core mechanisms behind neural network disruptions, potentially identifying biomarkers, and guiding the creation of precise diagnostic tools and targeted treatments for neurological conditions.

作者聚焦：通过 HD-MEA 技术推进大规模神经动力学

CMOS集成高密度微电极阵列上多模态大规模神经元集成动力学的记录与分析

Our research explores the frontiers of neural technology by integrating high-density CMOS-based microelectrode array for decoding neural communication and large networks. We aim to answer how neural information across scales is encoded in unique detail, enhancing our understanding of brain function and dysfunction in health and disease. Navigating the complex area of neuronal ensemble research, we confront challenges like achieving precise signal resolution amidst brain activity, and ensuring the biocompatibility of our CMOS-based microelectrode arrays.These hurdles are pivotal in accurately capturing and interpreting the rich tapestry of neural interaction using multimodal recordings. Our research addresses a critical gap in neuroscience, the lack of a comprehensive method to recode and analyze the dynamics of larger scale neuronal ensemble with high spatial and temporal resolution. This gap hinders our understanding of complex brain networks and function in health and disease.Our protocol enables multimodal, label-free, high-resolution recordings across the hippocampus, olfactory bulb, and human IPSC-derived neurons, providing a versatile tool for diverse experiments. This unique approach facilitates unparalleled insight into neuronal dynamics, bridging the research gap between various brain regions and model systems, significantly advancing our understanding of neural function and disorder. Future endeavors in our lab will deeply investigate neural computations and dynamics from genes to networks, aiming to bridge molecular and functional signatures in health and disease.Through advanced bioelectronics and neural technology, we'll focus on neuroplasticity, olfactory coding, developing AI, and memory-enhancing strategies for novel therapeutics and brain machine interfaces.

Watch this Scientific Journal Video about Ex-Vivo Circuit-Wide Recordings from Hippocampal-Cortical and Olfactory Bulb Slices Using High-Density Microelectrode Array HD-MEA at JoVE.com

使用高密度微电极阵列 （HD-MEA） 对海马皮质和嗅球切片进行体外电路记录

首先，将所有必要的工具放在指定的工作区中。在HD-MEA芯片上涂上PDLO，以增强组织-芯片偶联。将芯片放在采集记录平台上。用人工脑脊液填充其储液器，并将锚栓放入芯片储液器中进行平衡。从回收室中取出准备好的小鼠脑切片，并将其置于连续碳化90毫米培养皿中。分离海马体或嗅球后，用玻璃移液管将切片移入HD-MEA储液器中。使用细刷子将切片轻轻对准 MEA 的活动区域。从芯片中吸出所有溶液。使用镊子，轻轻地将锚放在切片的顶部。将溶液轻轻加入芯片储液器后，启动灌注系统。接下来，启动 BrainWave 软件，选择“文件”，然后单击“新建录制会话”。将记录参数设置为 1 赫兹的记录频率和每个电极 14 千赫兹的采样频率。按记录以预设的实验条件开始采集。最后，在最后一次记录后，捕获急性脑切片的光成像。然后，将切片移回回收室。使用刷子去除附着在芯片上的任何有机材料，然后继续下一片。

Research

JoVE Journal

Neuroscience

Ex-Vivo Circuit-Wide Recordings from Hippocampal-Cortical and Olfactory Bulb Slices Using High-Density Microelectrode Array (HD-MEA)

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array

Large-scale neuronal networks and their complex distributed microcircuits are essential to generate perception, cognition, and behavior that emerge from ...

科研

神经科学

Ex-Vivo Brain Slices Preparation from Mouse Brain Tissue for Studying Hippocampal-Cortical and Olfactory Bulb Circuits

从小鼠脑组织制备离体脑切片，用于研究海马-皮质和嗅球回路

In-Vitro Culture of Human-Induced Pluripotent Stem Cells (iPSC) on High-Density Microelectrode Array (HD-MEA)

在高密度微电极阵列 （HD-MEA） 上人诱导的多能干细胞 （iPSC） 的体外培养 

Preparation of Human iPSC Recording Workspace and Network-Wide Recordings on High-Density Microelectrode Array (HD-MEA)

在高密度微电极阵列 （HD-MEA） 上制备人 iPSC 记录工作空间和全网记录

Analysis of Ex-Vivo Mouse Brain Slices and In-Vitro Human iPSC-Derived Neuronal Networks

离体小鼠脑切片和体外人iPSC衍生神经元网络的分析

使用高密度微电极阵列 （HD-MEA） 对海马皮质和嗅球切片进行体外电路记录

使用高密度微电极阵列（HD-MEA）对海马皮质和嗅球切片进行体外电路记录