AI Article Synopsis
- Modern microtechnology enables the creation of chip-based neural networks with modular and hierarchical structures that mimic brain networks, providing a model for studying interactions and functionality.
- A two-chamber microfluidic platform was utilized to assess functional connectivity and overall activity within these hierarchical modular neural networks.
- Results indicated that both the strength of connections within modules and the nature of spontaneous activity influence how effectively modules interact and integrate, potentially leading to insights into function-structure relationships in neural networks in various health conditions.
Article Abstract
Modern microtechnology methods are widely used to create neural networks on a chip with a connection architecture demonstrating properties of modularity and hierarchy similar to brain networks. Such in vitro networks serve as a valuable model for studying the interplay of functional architecture within modules, their activity, and the effectiveness of inter-module interaction. In this study, we use a two-chamber microfluidic platform to investigate functional connectivity and global activity in hierarchically connected modular neural networks. We found that the strength of functional connections within the module and the profile of network spontaneous activity determine the effectiveness of inter-modular interaction and integration activity in the network. The direction of intermodular activity propagation configures the different densities of inhibitory synapses in the network. The developed microfluidic platform holds the potential to explore function-structure relationships and efficient information processing in two- or multilayer neural networks, in both healthy and pathological states.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11205292 | PMC |
| http://dx.doi.org/10.3390/mi15060732 | DOI Listing |
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