The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known about the intracellular processes that lead to spiking activity. We present a robotic system, the multipatcher, capable of automatically obtaining blind whole-cell patch clamp recordings from multiple neurons simultaneously. The multipatcher significantly extends automated patch clamping, or ’autopatching’, to guide four interacting electrodes in a coordinated fashion, avoiding mechanical coupling in the brain. We demonstrate its performance in the cortex of anesthetized and awake mice. A multipatcher with four electrodes took an average of 10 min to obtain dual or triple recordings in 29% of trials in anesthetized mice, and in 18% of the trials in awake mice, thus illustrating practical yield and throughput to obtain multiple, simultaneous whole-cell recordings in vivo.
|Original language||English (US)|
|State||Published - Jan 3 2018|
Bibliographical noteFunding Information:
New York Stem Cell Foundation Edward S Boyden National Institutes of Health Gregory L Holst National Science Foundation Edward S Boyden NIHNational Institutes of HealthR01 EY023173 Craig R Forest National Institutes of Health R01-GM104948 Emery N Brown National Institutes of Health P01-GM118620 Emery N Brown Massachusetts General Hospital Emery N Brown Picower Institue for Learning and Memory Emery N Brown National Institutes of Health 1R21NS103098-01 Suhasa B Kodandaramaiah McGovern Institute Neurotechnology Fund Suhasa B Kodandaramaiah.
© Kodandaramaiah et al.