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Materials and Devices for Micro-invasive Neural Interfacing

Published online by Cambridge University Press:  18 November 2019

Khalil B. Ramadi Open the ORCID record for Khalil B. Ramadi [Opens in a new window]  and
Michael J. Cima
Khalil B. Ramadi*
Affiliation:
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139. Harvard–MIT Health Sciences and Technology Division, Massachusetts Institute of Technology, Cambridge, MA 02139.
Michael J. Cima
Affiliation:
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139. Harvard–MIT Health Sciences and Technology Division, Massachusetts Institute of Technology, Cambridge, MA 02139. Department of Materials Science, Massachusetts Institute of Technology, Cambridge, MA 02139.
*
*(Email: kramadi@mit.edu)
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Abstract

There is widespread research and popular interest in developing micro-invasive neural interfacing modalities. An increasing variety of probes have been developed and reported in the literature. Newer, smaller probes show significant benefit over larger ones in reducing tissue damage and scarring. A different set of obstacles arise, however, as probes become smaller. These include reliable insertion and robustness. This review articulates the impact of various design parameters (material, geometry, size) on probe insertion mechanisms, chronic viability, and glial scarring. We highlight various emerging technologies utilizing novel form factors including micron-scale interfaces and bio-inspired designs for probe insertion and steering.

Keywords

biomedicalbiomimetic
Type
Articles
Information
MRS Advances , Volume 4 , Issue 51-52: Snapshot reviews in Materials Advances 2019 , 2019 , pp. 2805 - 2816
Copyright
Copyright © Materials Research Society 2019 

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References

REFERENCES

Uhlhaas, P. J. and Singer, W., "Neural synchrony in brain disorders: relevance for cognitive dysfunctions and pathophysiology," Neuron, vol. 52, no. 1, pp. 155–68, 2006.CrossRefGoogle Scholar
Asanuma, K. et al., "Network modulation in the treatment of Parkinson’s disease," Brain, vol. 129, no. Pt 10, pp. 2667–78, 2006.CrossRefGoogle Scholar
Smith, S. J. M., "EEG in the diagnosis, classification, and management of patients with epilepsy," Journal of Neurology, Neurosurgery & Psychiatry, vol. 76, no. suppl 2, pp. ii2-ii7, 2005.CrossRefGoogle Scholar
Karakis, I., Chiappa, K. H., San Luciano, M., Sassower, K. C., Stakes, J. W., and Cole, A. J., "The utility of routine EEG in the diagnosis of sleep disordered breathing," J Clin Neurophysiol, vol. 29, no. 4, pp. 333–8, 2012.CrossRefGoogle Scholar
(2019, March 30). Brain Controlled Technology. Available: https://www.emotiv.com/brain-controlled-technology/Google Scholar
Babiloni, F., Cincotti, F., Carducci, F., Rossini, P. M., and Babiloni, C., "Spatial enhancement of EEG data by surface Laplacian estimation: the use of magnetic resonance imaging-based head models," Clin Neurophysiol, vol. 112, no. 5, pp. 724–7, 2001.CrossRefGoogle Scholar
Yang, T., Hakimian, S., and Schwartz, T. H., "Intraoperative ElectroCorticoGraphy (ECog): indications, techniques, and utility in epilepsy surgery," Epileptic Disord, vol. 16, no. 3, pp. 271–9, 2014.Google Scholar
Lee, D. and Lee, A. K., "In Vivo Patch-Clamp Recording in Awake Head-Fixed Rodents," Cold Spring Harbor Protocols, vol. 2017, no. 4, p. pdb.prot095802, 2017.CrossRefGoogle Scholar
Dagdeviren, C. et al. ., "Miniaturized neural system for chronic, local intracerebral drug delivery," Sci Transl Med, vol. 10, no. 425, 2018.CrossRefGoogle Scholar
Sharp, A. A., Ortega, A. M., Restrepo, D., Curran-Everett, D., and Gall, K., "In vivo penetration mechanics and mechanical properties of mouse brain tissue at micrometer scales," IEEE Trans Biomed Eng, vol. 56, no. 1, pp. 45–53, 2009.CrossRefGoogle Scholar
Rennaker, R. L., Street, S., Ruyle, A. M., and Sloan, A. M., "A comparison of chronic multi-channel cortical implantation techniques: manual versus mechanical insertion," J Neurosci Methods, vol. 142, no. 2, pp. 169–76, 2005.CrossRefGoogle Scholar
Maikos, J. T., Elias, R. A., and Shreiber, D. I., "Mechanical properties of dura mater from the rat brain and spinal cord," J Neurotrauma, vol. 25, no. 1, pp. 38–51, 2008.CrossRefGoogle Scholar
Okamura, A. M., Simone, C., and O’Leary, M. D., "Force modeling for needle insertion into soft tissue," IEEE Trans Biomed Eng, vol. 51, no. 10, pp. 1707–16, 2004.CrossRefGoogle Scholar
Casanova, F., Carney, P. R., and Sarntinoranont, M., "In vivo evaluation of needle force and friction stress during insertion at varying insertion speed into the brain," J Neurosci Methods, vol. 237, pp. 79–89, 2014.CrossRefGoogle Scholar
Khalaji, I., Hadavand, M., Asadian, A., Patel, R. V., and Naish, M. D., "Analysis of needle-tissue friction during vibration-assisted needle insertion," in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013, pp. 4099–4104.CrossRefGoogle Scholar
Johnson, C. L. et al. ., "Local mechanical properties of white matter structures in the human brain," NeuroImage, vol. 79, pp. 145–152, 2013.CrossRefGoogle Scholar
Xiaochun, L., Sadiq, M., Corner, G., Cochran, S., and Zhihong, H., "Reduced penetration force through ultrasound activation of a standard needle: An experimental and computational study," in 2013 IEEE International Ultrasonics Symposium (IUS), 2013, pp. 1436–1439.CrossRefGoogle Scholar
Lecomte, A., Descamps, E., and Bergaud, C., "A review on mechanical considerations for chronically-implanted neural probes," J Neural Eng, vol. 15, no. 3, p. 031001, 2018.CrossRefGoogle Scholar
Potter, K. A., Buck, A. C., Self, W. K., and Capadona, J. R., "Stab injury and device implantation within the brain results in inversely multiphasic neuroinflammatory and neurodegenerative responses," J Neural Eng, vol. 9, no. 4, p. 046020, 2012.CrossRefGoogle Scholar
Cotler, M. J. et al. ., "Steerable Microinvasive Probes for Localized Drug Delivery to Deep Tissue," Small, p. e1901459, 2019.CrossRefGoogle Scholar
Ramadi, K. B. et al. ., "Focal, remote-controlled, chronic chemical modulation of brain microstructures," Proceedings of the National Academy of Sciences, 2018.CrossRefGoogle Scholar
Fung, S. H., Burstein, D., and Born, R. T., "In vivo microelectrode track reconstruction using magnetic resonance imaging," J Neurosci Methods, vol. 80, no. 2, pp. 215–24, 1998.CrossRefGoogle Scholar
Streeter, K. A. et al. ., "Coupling multielectrode array recordings with silver labeling of recording sites to study cervical spinal network connectivity," J Neurophysiol, vol. 117, no. 3, pp. 1014–1029, 2017.CrossRefGoogle Scholar
Turner, J. N. et al. ., "Cerebral astrocyte response to micromachined silicon implants," Exp Neurol, vol. 156, no. 1, pp. 33–49, 1999.CrossRefGoogle Scholar
Subbaroyan, J., Martin, D. C., and Kipke, D. R., "A finite-element model of the mechanical effects of implantable microelectrodes in the cerebral cortex," J Neural Eng, vol. 2, no. 4, pp. 103–13, 2005.CrossRefGoogle Scholar
Spencer, K. C., Sy, J. C., Falcon-Banchs, R., and Cima, M. J., "A three dimensional in vitro glial scar model to investigate the local strain effects from micromotion around neural implants," Lab Chip, vol. 17, no. 5, pp. 795–804, 2017.CrossRefGoogle Scholar
Goldstein, S. R. and Salcman, M., "Mechanical factors in the design of chronic recording intracortical microelectrodes," IEEE Trans Biomed Eng, vol. 20, no. 4, pp. 260–9, 1973.CrossRefGoogle Scholar
Spencer, K. C., Sy, J. C., Ramadi, K. B., Graybiel, A. M., Langer, R., and Cima, M. J., "Characterization of Mechanically Matched Hydrogel Coatings to Improve the Biocompatibility of Neural Implants," Scientific Reports, vol. 7, p. 1952, 2017.CrossRefGoogle Scholar
De Faveri, S., et al. ., "Bio-inspired hybrid microelectrodes: a hybrid solution to improve long-term performance of chronic intracortical implants," Front Neuroeng, vol. 7, p. 7, 2014.CrossRefGoogle Scholar
Ceyssens, F. et al. ., "Extracellular matrix proteins as temporary coating for thin-film neural implants," J Neural Eng, vol. 14, no. 1, p. 014001, 2017.CrossRefGoogle Scholar
Zhang, Z., Nong, J., and Zhong, Y., "Antibacterial, anti-inflammatory and neuroprotective layer-by-layer coatings for neural implants," J Neural Eng, vol. 12, no. 4, p. 046015, 2015.CrossRefGoogle Scholar
Nguyen, J. K. et al. ., "Influence of resveratrol release on the tissue response to mechanically adaptive cortical implants," Acta Biomater, vol. 29, pp. 81–93, 2016.CrossRefGoogle Scholar
Seymour, J. P. and Kipke, D. R., "Neural probe design for reduced tissue encapsulation in CNS," Biomaterials, vol. 28, no. 25, pp. 3594–607, 2007.CrossRefGoogle Scholar
Stiller, A. M. et al. ., "A Meta-Analysis of Intracortical Device Stiffness and Its Correlation with Histological Outcomes," Micromachines, vol. 9, no. 9, p. 443, 2018.CrossRefGoogle Scholar
Zhang, E. Y., "Microinvasive probes for the longitudinal interrogation of neural dynamics," S.M., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2018.Google Scholar
Gilletti, A. and Muthuswamy, J., "Brain micromotion around implants in the rodent somatosensory cortex," J Neural Eng, vol. 3, no. 3, pp. 189–95, 2006.CrossRefGoogle Scholar
Karumbaiah, L. et al. ., "Relationship between intracortical electrode design and chronic recording function," Biomaterials, vol. 34, no. 33, pp. 8061–74, 2013.CrossRefGoogle Scholar
Sohal, H. S. et al. ., "The sinusoidal probe: a new approach to improve electrode longevity," Front Neuroeng, vol. 7, p. 10, 2014.CrossRefGoogle Scholar
Jun, J. J. et al. ., "Fully integrated silicon probes for high-density recording of neural activity," Nature, vol. 551, no. 7679, pp. 232–236, 2017.CrossRefGoogle Scholar
Canales, A. et al. ., "Multifunctional fibers for simultaneous optical, electrical and chemical interrogation of neural circuits in vivo," Nat Biotechnol, 2015.CrossRefGoogle Scholar
Jeong, J. W. et al. ., "Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics," Cell, vol. 162, no. 3, pp. 662–674, 2015.CrossRefGoogle Scholar
Obaid, A. et al. ., "Massively Parallel Microwire Arrays Integrated with CMOS chips for Neural Recording," bioRxiv, p. 573295, 2019.Google Scholar
Ferro, M. D. et al. ., "NeuroRoots, a bio-inspired, seamless Brain Machine Interface device for long-term recording," bioRxiv, p. 460949, 2018.Google Scholar
Luan, L. et al. ., "Ultraflexible nanoelectronic probes form reliable, glial scar-free neural integration," Sci Adv, vol. 3, no. 2, p. e1601966, 2017.CrossRefGoogle Scholar
Vitale, F., Summerson, S. R., Aazhang, B., Kemere, C., and Pasquali, M., "Neural stimulation and recording with bidirectional, soft carbon nanotube fiber microelectrodes," ACS Nano, vol. 9, no. 4, pp. 4465–74, 2015.CrossRefGoogle Scholar
Liu, J. et al. ., "Syringe-injectable electronics," Nature Nanotechnology, Article vol. 10, p. 629, 2015.CrossRefGoogle Scholar
Hong, G., Viveros, R. D., Zwang, T. J., Yang, X., and Lieber, C. M., "Tissue-like Neural Probes for Understanding and Modulating the Brain," Biochemistry, vol. 57, no. 27, pp. 3995–4004, 2018.CrossRefGoogle Scholar
Kolarcik, C. L. et al. ., "Elastomeric and soft conducting microwires for implantable neural interfaces," Soft Matter, vol. 11, no. 24, pp. 4847–61, 2015.CrossRefGoogle Scholar
Lee, H. C. et al. ., "Histological evaluation of flexible neural implants; flexibility limit for reducing the tissue response?," J Neural Eng, vol. 14, no. 3, p. 036026, 2017.CrossRefGoogle Scholar
Agorelius, J., Tsanakalis, F., Friberg, A., Thorbergsson, P. T., Pettersson, L. M., and Schouenborg, J., "An array of highly flexible electrodes with a tailored configuration locked by gelatin during implantation-initial evaluation in cortex cerebri of awake rats," Front Neurosci, vol. 9, p. 331, 2015.CrossRefGoogle Scholar
Kim, J. H. et al. ., "Flexible deep brain neural probe for localized stimulation and detection with metal guide," Biosens Bioelectron, vol. 117, pp. 436–443, 2018.CrossRefGoogle Scholar
Lecomte, A. et al. ., "Silk and PEG as means to stiffen a parylene probe for insertion in the brain: toward a double time-scale tool for local drug delivery," Journal of Micromechanics and Microengineering, vol. 25, no. 12, p. 125003, 2015.CrossRefGoogle Scholar
Rousche, P. J. and Normann, R. A., "Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex," Journal of Neuroscience Methods, vol. 82, no. 1, pp. 1–15, 1998.CrossRefGoogle Scholar
Lo, M. C. et al. ., "Coating flexible probes with an ultra fast degrading polymer to aid in tissue insertion," Biomed Microdevices, vol. 17, no. 2, p. 34, 2015.CrossRefGoogle Scholar
Cerkvenik, U., van de Straat, B., Gussekloo, S. W. S., and van Leeuwen, J. L., "Mechanisms of ovipositor insertion and steering of a parasitic wasp," Proc Natl Acad Sci U S A, vol. 114, no. 37, pp. E7822–E7831, 2017.CrossRefGoogle Scholar
Polidori, C., Garcia, A. J., and Nieves-Aldrey, J. L., "Breaking up the wall: metal-enrichment in Ovipositors, but not in mandibles, co-varies with substrate hardness in gall-wasps and their associates," PLoS One, vol. 8, no. 7, p. e70529, 2013.CrossRefGoogle Scholar
Watts, T., Secoli, R., and Baena, F. R. y., "A Mechanics-Based Model for 3-D Steering of Programmable Bevel-Tip Needles," IEEE Transactions on Robotics, vol. 35, no. 2, pp. 371–386, 2019.CrossRefGoogle Scholar
Pitcher, C. and Gao, Y., "Analysis of drill head designs for dual-reciprocating drilling technique in planetary regoliths," Advances in Space Research, vol. 56, no. 8, pp. 1765–1776, 2015.CrossRefGoogle Scholar
Frasson, L., Ko, S. Y., Turner, A., Parittotokkaporn, T., Vincent, J. F., and Rodriguez, F. y Baena, "STING: a soft-tissue intervention and neurosurgical guide to access deep brain lesions through curved trajectories," Proc Inst Mech Eng H, vol. 224, no. 6, pp. 775–88, 2010.CrossRefGoogle Scholar
van de Berg, N. J., van Gerwen, D. J., Dankelman, J., and van den Dobbelsteen, J. J., "Design Choices in Needle Steering—A Review," IEEE/ASME Transactions on Mechatronics, vol. 20, no. 5, pp. 2172–2183, 2015.CrossRefGoogle Scholar
Shoffstall, A. J. et al. ., "A Mosquito Inspired Strategy to Implant Microprobes into the Brain," Scientific Reports, vol. 8, no. 1, p. 122, 2018.CrossRefGoogle Scholar
Datla, N. V. et al. ., "A model to predict deflection of bevel-tipped active needle advancing in soft tissue," Med Eng Phys, vol. 36, no. 3, pp. 285–93, 2014.CrossRefGoogle Scholar