Literature DB >> 21087635

A multi-slice recording system for stable late phase hippocampal long-term potentiation experiments.

Katja Sabine Kroker1, Holger Rosenbrock, Georg Rast.   

Abstract

A major challenge in neuroscience is identifying the cellular and molecular processes underlying learning and memory formation. In the past decades, significant progress has been made in understanding cellular and synaptic mechanisms underlying hippocampal learning and memory using long-term potentiation (LTP) experiments in brain slices as a model system. To expedite LTP measurements it is helpful to further optimize such recording systems. Here, we describe a modification of a multi-slice recording system (SliceMaster, Scientifica Limited, East Sussex, UK) that allows absolutely stable measurements of field excitatory postsynaptic potentials (fEPSPs) for up to 8 h in up to eight slices simultaneously. The software Notocord(®) was used for on-line data acquisition and to control the digital pattern generator which can generate different patterns for slice stimulation, inducing different types of LTP. Moreover, in contrast to common gravity-driven perfusion systems, a Pumped Perfusion System was employed to recycle drug solutions applied to the hippocampal slice. In addition, slices were positioned on two stacked grids for optimal recording of fEPSPs. These two stacked grids were placed in the measuring chambers allowing recordings for several hours without any perturbances. In summary, this modified slice-recording system improves throughput and allows for better statistical design, increases number of used slices per animal and enables very robust LTP measurements for up to 7 h. Hence, this system is suitable not only to investigate molecular mechanisms underlying the late phase of LTP, but also to screen candidate compounds in the context of drug discovery. Copyright Â
© 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21087635     DOI: 10.1016/j.jneumeth.2010.11.006

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


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