Toward guiding principles for the design of biologically-integrated electrodes for the central nervous system.

作者: Cort H Thompson , Ti’Air E Riggins , Paras R Patel , Cynthia A Chestek , Wen Li

DOI: 10.1088/1741-2552/AB7030

关键词:

摘要: Innovation in electrode design has produced a myriad of new and creative strategies for interfacing the nervous system with softer, less invasive, more broadly distributed sites high spatial resolution. However, despite rapid growth use implanted arrays research clinical applications, there are no accepted guiding principles biocompatible chronic recording interfaces central (CNS). Studies suggest that architecture flexibility devices play important roles determining effective tissue integration: device feature dimensions (varying from 'sub'- to 'supra'-cellular scales, 100 µm), Young's modulus, bending modulus have all been identified as key features design. critical knowledge gaps remain field respect underlying motivation these designs: (1) systematic study relationship between (materials, architecture, flexibility), biointegration, signal quality needs be performed, including controls interaction effects features, (2) benchmarks success need determined (biological integration, performance, longevity, stability), (3) user results, particularly those champion specific or modification, replicated across laboratories. Finally, ancillary factors such tethering, site impedance insertion method considered. Here, we briefly review observations to-date on integration then highlight comprehensive testing moving forward.

参考文章(161)
Huaiyu Wang, Paul K. Chu, Surface Characterization of Biomaterials Characterization of Biomaterials. pp. 105- 174 ,(2013) , 10.1016/B978-0-12-415800-9.00004-8
Giriraj Singh Shekhawat, Frederick Sundram, Marom Bikson, Dennis Truong, Dirk De Ridder, Cathy M. Stinear, David Welch, Grant D. Searchfield, Intensity, Duration, and Location of High-Definition Transcranial Direct Current Stimulation for Tinnitus Relief. Neurorehabilitation and Neural Repair. ,vol. 30, pp. 349- 359 ,(2016) , 10.1177/1545968315595286
Taylor Ware, Dustin Simon, Clive Liu, Tabassum Musa, Srikanth Vasudevan, Andrew Sloan, Edward W. Keefer, Robert L. Rennaker, Walter Voit, Thiol-ene/acrylate substrates for softening intracortical electrodes. Journal of Biomedical Materials Research Part B. ,vol. 102, pp. 1- 11 ,(2014) , 10.1002/JBMB.32946
Paras R Patel, Kyounghwan Na, Huanan Zhang, Takashi D Y Kozai, Nicholas A Kotov, Euisik Yoon, Cynthia A Chestek, Insertion of linear 8.4 μm diameter 16 channel carbon fiber electrode arrays for single unit recordings. Journal of Neural Engineering. ,vol. 12, pp. 046009- 046009 ,(2015) , 10.1088/1741-2560/12/4/046009
Jia Liu, Tian-Ming Fu, Zengguang Cheng, Guosong Hong, Tao Zhou, Lihua Jin, Madhavi Duvvuri, Zhe Jiang, Peter Kruskal, Chong Xie, Zhigang Suo, Ying Fang, Charles M. Lieber, Syringe Injectable Electronics Nature Nanotechnology. ,vol. 10, pp. 629- 636 ,(2015) , 10.1038/NNANO.2015.115
Hubert H. Lim, Thomas Lenarz, Auditory midbrain implant Hearing Research. ,vol. 322, pp. 212- 223 ,(2002) , 10.1016/J.HEARES.2015.01.006
Allen L. Ho, Eric S. Sussman, Arjun V. Pendharkar, Dan E. Azagury, Cara Bohon, Casey H. Halpern, Deep brain stimulation for obesity: rationale and approach to trial design. Neurosurgical Focus. ,vol. 38, ,(2015) , 10.3171/2015.3.FOCUS1538
T. Aflalo, S. Kellis, C. Klaes, B. Lee, Y. Shi, K. Pejsa, K. Shanfield, S. Hayes-Jackson, M. Aisen, C. Heck, C. Liu, R. A. Andersen, Decoding motor imagery from the posterior parietal cortex of a tetraplegic human Science. ,vol. 348, pp. 906- 910 ,(2015) , 10.1126/SCIENCE.AAA5417
Emma J. Quinn, Zack Blumenfeld, Anca Velisar, Mandy Miller Koop, Lauren A. Shreve, Megan H. Trager, Bruce C. Hill, Camilla Kilbane, Jaimie M. Henderson, Helen Brontë-Stewart, Beta oscillations in freely moving Parkinson's subjects are attenuated during deep brain stimulation. Movement Disorders. ,vol. 30, pp. 1750- 1758 ,(2015) , 10.1002/MDS.26376
Darrell A. Henze, Zsolt Borhegyi, Jozsef Csicsvari, Akira Mamiya, Kenneth D. Harris, György Buzsáki, Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo Journal of Neurophysiology. ,vol. 84, pp. 390- 400 ,(2000) , 10.1152/JN.2000.84.1.390