Related Experiment Video
Updated: Jul 6, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
Published on: April 15, 2015
Engineering Cortical Networks: An Open Platform for Controlled Human Circuit Formation and Synaptic Analysis In Vitro
Pacharaporn Suklai1,2,3, Taylor Minckley1,2,3, Cathleen Hagemann1,2,3
1Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, SE5 9RX, UK.
None:
Neuronal circuits are organized by specific connections between neuron types across various brain regions. Understanding how these circuits form is crucial for uncovering the mechanisms behind circuit-related dysfunction in brain diseases. Human-induced pluripotent stem cell (iPSC) models enable the study of the molecular and cellular processes underlying neuronal networks, but their lack of precise architecture limits the investigation of specific neuronal interactions and activity-dependent processes. Microfluidic technologies offer structural control but are confined by closed systems that restrict 3D network integration, scalability, and cell retrieval. To overcome these challenges, we developed an open cortical network platform that integrates iPSC-derived cortical neurons with bioengineering techniques. Using a polydimethylsiloxane-based microgroove topography and a cell plating guide, we created "neuronal nodes" that facilitate flexible circuit construction in an open system. This design allows optogenetic control of neural activity and flexible network modifications, including cellular composition, neurite directionality, and synapse formation. The open, large-scale design allows neuronal material retrieval, supporting multi-level analyses of cortical circuits, such as proteomics. This platform represents a valuable tool for investigating neuronal network development and function, providing opportunities for study into both normal and pathological states, including molecular changes associated with connectivity loss in brain diseases.

