An olfactory bulb slice-based biosensor for multi-site extracellular recording of neural networks

• Published in: Biosensors & bioelectronics 2011-03, Vol.26 (7), p.3313-3319
• Main Authors: Chen, Qingmei, Xiao, Lidan, Liu, Qingjun, Ling, Shucai, Yin, Yifei, Dong, Qi, Wang, Ping
• Format: Article
• Language: English
• Subjects: Animals; Arrays; Biological and medical sciences; Biosensing Techniques - instrumentation; Biosensing Techniques - methods; Biosensors; Biotechnology; Bulbs; Encoding; Equipment Design; Firing; Fundamental and applied biological sciences. Psychology; Glutamic Acid - metabolism; Methods. Procedures. Technologies; Microelectrode array; Multi-site extracellular recording; Nerve Net - metabolism; Neural network; Neural networks; Neurons - metabolism; Olfactory bulb; Olfactory Bulb - metabolism; Olfactory Bulb - ultrastructure; Rats; Rats, Wistar; Recording; Searching; Slice-based biosensor; Synchronous; Various methods and equipments
• ISSN: 0956-5663; 1873-4235
• DOI: 10.1016/j.bios.2011.01.005

Multi-site recording is the important component for studies of the neural networks. In order to investigate the electrophysiological properties of the olfactory bulb neural networks, we developed a novel slice-based biosensor for synchronous measurement with multi-sites. In the present study, the horizontal olfactory bulb slices with legible layered structures were prepared as the sensing element to construct a tissue-based biosensor with the microelectrode array. This olfactory bulb slice-based biosensor was used to simultaneously record the extracellular potentials from multi-positions. Spike detection and cross-correlation analysis were applied to evaluate the electrophysiological activities. The spontaneous potentials as well as the induced responses by glutamic acid took on different electrophysiological characteristics and firing patterns at the different sites of the olfactory bulb slice. This slice-based biosensor can realize multi-site synchronous monitoring and is advantageous for searching after the firing patterns and synaptic connections in the olfactory bulb neural networks. It is also helpful for further probing into olfactory information encoding of the olfactory neural networks.