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Intrinsically photosensitive retinal ganglion cells (ipRGCs) are a special subset of retinal output neurons capable of detecting and responding to light via a unique photopigment called melanopsin. Melanopsin activation is essential to a wide array of physiological functions, especially to those related to non-image-forming vision. Since ipRGCs only constitute a very small proportion of retinal ganglion cells, targeted recording of melanopsin-driven responses used to be a big challenge to vision researchers. Multielectrode array (MEA) recording provides a noninvasive, high throughput method to monitor melanopsin-driven responses. When synaptic inputs from rod/cone photoreceptors are silenced with glutamatergic blockers, extracellular electric signals derived from melanopsin activation can be recorded from multiple ipRGCs simultaneously by tens of microelectrodes aligned in an array. In this chapter we describe how our labs have approached MEA recording of melanopsin-driven light responses in adult mouse retinas. Instruments, tools and chemical reagents routinely used for setting up a successful MEA recording are listed, and a standard experimental procedure is provided. The implementation of this technique offers a useful paradigm that can be used to conduct functional assessments of ipRGCs and NIF vision.
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http://dx.doi.org/10.1007/978-1-4939-7720-8_20 | DOI Listing |
PLoS One
September 2025
Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Recent advances in three-dimensional (3D) biological brain models in vitro and ex vivo are creating new opportunities to understand the complexity of neural networks but pose the technological challenge of obtaining high-throughput recordings of electrical activity from multiple sites in 3D at high spatiotemporal resolution. This cannot be achieved using planar multi-electrode arrays (MEAs), which contact just one side of the neural structure. Moreover, the specimen adhesion to planar MEAs limits fluid perfusion along with tissue viability and drug application.
View Article and Find Full Text PDFJ Neural Eng
September 2025
Department of Neonatology, Shenzhen Children's Hospital, Department of Neonatology, Shenzhen Children's Hospital, Shenzhen, China., Shenzhen, 518038, CHINA.
Spontaneous network bursts (NBs) are critical for neuronal circuit development, influencing synaptogenesis and functional organization. While JNK and PI3K-Akt signaling pathways are known to regulate synaptic plasticity, their specific roles in governing NBs dynamics and functional network organization remain poorly understood. This study investigates the roles of JNK and PI3K-Akt signaling in regulating spontaneous NBs dynamics and network organization in cultured neuronal networks.
View Article and Find Full Text PDFFront Neurosci
August 2025
Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, Sendai, Japan.
Introduction: Human iPSC-derived brain organoids and assembloids have emerged as promising in vitro models for recapitulating human brain development, neurological disorders, and drug responses. However, detailed analysis of their electrophysiological properties requires advanced measurement techniques.
Methods: Here, we present an analytical approach using ultra-high-density (UHD) CMOS microelectrode arrays (MEAs) with 236,880 electrodes across a 32.
Objective: pathogenic mutations, such as the recurrent heterozygous Nav1.2-L1342P, are monogenic causes of epilepsy. In this human-induced pluripotent stem cell model system, we aim to investigate the molecular and cellular mechanisms underlying the SCN2A-L1342P-associated pathology.
View Article and Find Full Text PDFLab Chip
August 2025
Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland.
A detailed functional characterization of electrogenic cells, such as neurons and cardiomyocytes, by means of high-density microelectrode arrays (HD-MEAs) has emerged as a powerful approach for inferring cellular phenotypes and elucidating fundamental mechanisms underlying cellular function. HD-MEAs have been applied across a range of disciplines, including neurodevelopmental research, stem cell biology, and pharmacology, and more recently in interdisciplinary work at the intersection of biomedical engineering, computer science, and artificial intelligence (AI). Innovations in chip design, fabrication, recording capabilities, and data processing have significantly advanced the functionality of HD-MEAs.
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