Implantation of Chronic Silicon Probes and Recording of Hippocampal Place Cells in an Enriched Treadmill Apparatus
- Authors
- Sariev, Anvar; Chung, Jinho; Jung, Dajung; Sharif, Farnaz; Lee, Ju-Young; Kim, Soyoun; Royer, Sebastien
- Issue Date
- 2017-10
- Publisher
- JOURNAL OF VISUALIZED EXPERIMENTS
- Citation
- JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, v.2017, no.128
- Abstract
- An important requisite for understanding brain function is the identification of behavior and cell activity correlates. Silicon probes are advanced electrodes for large-scale electrophysiological recording of neuronal activity, but the procedures for their chronic implantation are still underdeveloped. The activity of hippocampal place cells is known to correlate with an animal's position in the environment, but the underlying mechanisms are still unclear. To investigate place cells, here we describe a set of techniques which range from the fabrication of devices for chronic silicon probe implants to the monitoring of place field activity in a cue-enriched treadmill apparatus. A micro-drive and a hat are built by fitting and fastening together 3D-printed plastic parts. A silicon probe is mounted on the micro-drive, cleaned, and coated with dye. A first surgery is performed to fix the hat on the skull of a mouse. Small landmarks are fabricated and attached to the belt of a treadmill. The mouse is trained to run head-fixed on the treadmill. A second surgery is performed to implant the silicon probe in the hippocampus, following which broadband electrophysiological signals are recorded. Finally, the silicon probe is recovered and cleaned for reuse. The analysis of place cell activity in the treadmill reveals a diversity of place field mechanisms, outlining the benefit of the approach.
- Keywords
- OPTICAL CONTROL; DRIVE; AWAKE; MICE; Silicon probe; place cells; hippocampus; treadmill; chronic recording; local-field potential; mouse
- ISSN
- 1940-087X
- URI
- https://pubs.kist.re.kr/handle/201004/122228
- DOI
- 10.3791/56438
- Appears in Collections:
- KIST Article > 2017
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