Glial responses to implanted electrodes in the brain (vol 1, pg 862, 2017)

作     者：Salatino, Joseph W. Ludwig, Kip A. Kozai, Takashi D. Y. Purcell, Erin K. 

作者机构：Department of Biomedical Engineering Michigan State University East Lansing MI USA. Institute for Quantitative Health Science and Engineering Michigan State University East Lansing MI USA. Department of Neurologic Surgery Mayo Clinic Rochester MN USA. Department of Bioengineering University of Pittsburgh Pittsburgh PA USA. Center for the Neural Basis of Cognition University of Pittsburgh Pittsburgh PA USA. McGowan Institute of Regenerative Medicine University of Pittsburgh Pittsburgh PA USA. Neurotech Center University of Pittsburgh Brain Institute Pittsburgh PA USA. Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA. Neuroscience Program Michigan State University East Lansing MI USA. 

出 版 物：《NATURE BIOMEDICAL ENGINEERING》 (Nat. Biomed. Eng.)

年 卷 期：2018年第2卷第1期

页      面：52-52页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 08[工学] 0836[工学-生物工程] 

基　　金：National Institutes of Health, NIH, (1R01NS094396, 1R21NS094900) National Institutes of Health, NIH Grainger Foundation, (5R03NS095202) Grainger Foundation 

主　　题：Cerebrum Implanted Electrodes 

摘      要：The use of implants that can electrically stimulate or record electrophysiological or neurochemical activity in nervous tissue is rapidly expanding. Despite remarkable results in clinical studies and increasing market approvals, the mechanisms underlying the therapeutic effects of neuroprosthetic and neuromodulation devices, as well as their side effects and reasons for their failure, remain poorly understood. A major assumption has been that the signal-generating neurons are the only important target cells of neural-interface technologies. However, recent evidence indicates that the supporting glial cells remodel the structure and function of neuronal networks and are an effector of stimulation-based therapy. Here, we reframe the traditional view of glia as a passive barrier, and discuss their role as an active determinant of the outcomes of device implantation. We also discuss the implications that this has on the development of bioelectronic medical devices.