Neural Probes for Chronic Applications
- Authors
- Kook, Geon; Lee, Sung Woo; Lee, Hee Chul; Cho, Il-Joo; Lee, Hyunjoo Jenny
- Issue Date
- 2016-10
- Publisher
- MDPI
- Citation
- MICROMACHINES, v.7, no.10
- Abstract
- Developed over approximately half a century, neural probe technology is now a mature technology in terms of its fabrication technology and serves as a practical alternative to the traditional microwires for extracellular recording. Through extensive exploration of fabrication methods, structural shapes, materials, and stimulation functionalities, neural probes are now denser, more functional and reliable. Thus, applications of neural probes are not limited to extracellular recording, brain-machine interface, and deep brain stimulation, but also include a wide range of new applications such as brain mapping, restoration of neuronal functions, and investigation of brain disorders. However, the biggest limitation of the current neural probe technology is chronic reliability; neural probes that record with high fidelity in acute settings often fail to function reliably in chronic settings. While chronic viability is imperative for both clinical uses and animal experiments, achieving one is a major technological challenge due to the chronic foreign body response to the implant. Thus, this review aims to outline the factors that potentially affect chronic recording in chronological order of implantation, summarize the methods proposed to minimize each factor, and provide a performance comparison of the neural probes developed for chronic applications.
- Keywords
- EMBEDDED MICROFLUIDIC CHANNELS; IN-VIVO EVALUATION; MICROELECTRODE ARRAYS; ELECTRODE ARRAYS; TISSUE-RESPONSE; BRAIN-TISSUE; DRUG-DELIVERY; DENSITY; BIOCOMPATIBILITY; INTERFACES; EMBEDDED MICROFLUIDIC CHANNELS; IN-VIVO EVALUATION; MICROELECTRODE ARRAYS; ELECTRODE ARRAYS; TISSUE-RESPONSE; BRAIN-TISSUE; DRUG-DELIVERY; DENSITY; BIOCOMPATIBILITY; INTERFACES; biocompatibility; biocompatible coating; chronic implant; foreign body response; neural probe; neural recording
- ISSN
- 2072-666X
- URI
- https://pubs.kist.re.kr/handle/201004/123623
- DOI
- 10.3390/mi7100179
- Appears in Collections:
- KIST Article > 2016
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