High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Comparing neuronal microcircuits across diverse contexts is crucial for understanding network computation principles.
• Simultaneous patch-clamp recordings offer high-resolution analysis of local synaptic connectivity but are technically challenging, leading to limitations in experimental efficiency and sample size.

Purpose of the Study:

• To develop and validate an advanced in vitro multipatch recording setup to overcome the limitations of traditional methods.
• To increase the speed, usability, and data throughput for analyzing neuronal microcircuits.

Main Methods:

• Introduction of an automated multipatch system with integrated pipette pressure and cleaning functionalities.
• Facilitation of simultaneous recordings from up to 10 neurons and sequential patching of additional neurons.
• Development of hardware and software solutions to streamline multipatch experiments.

Main Results:

• Probed 150 synaptic connections between 17 neurons in a single human cortical slice.
• Screened over 600 synaptic connections in tissue from a single patient.
• Demonstrated increased experimental efficiency and data acquisition capabilities.

Conclusions:

• The developed multipatch setup significantly enhances the systematic analysis of neuronal microcircuits.
• This method allows for unprecedented assessment of inter-individual variability in neural network computation.
• The improved technique facilitates a deeper understanding of brain function and computation.