Paras R Patel1, Pavlo Popov2, Ciara M Caldwell1, Elissa J Welle1, Daniel Egert3, Jeffrey R Pettibone3, Douglas H Roossien4, Jill B Becker2,5, Joshua D Berke3,6, Cynthia A Chestek1,7,8,9, Dawen Cai4,8,10,11. 1. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America. 2. Department of Psychology, University of Michigan, Ann Arbor, MI 48109, United States of America. 3. Department of Neurology, University of California, San Francisco, CA 94158, United States of America. 4. Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, United States of America. 5. Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109, United States of America. 6. Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, CA 94158, United States of America. 7. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, United States of America. 8. Neurosciences Program, University of Michigan, Ann Arbor, MI 48109, United States of America. 9. Robotics Program, University of Michigan, Ann Arbor, MI 48109, United States of America. 10. Department of Biophysics, University of Michigan, Ann Arbor, MI 48109, United States of America. 11. Author to whom any correspondence should be addressed.
Abstract
OBJECTIVE: Multimodal measurements at the neuronal level allow for detailed insight into local circuit function. However, most behavioral studies focus on one or two modalities and are generally limited by the available technology. APPROACH: Here, we show a combined approach of electrophysiology recordings, chemical sensing, and histological localization of the electrode tips within tissue. The key enabling technology is the underlying use of carbon fiber electrodes, which are small, electrically conductive, and sensitive to dopamine. The carbon fibers were functionalized by coating with Parylene C, a thin insulator with a high dielectric constant, coupled with selective re-exposure of the carbon surface using laser ablation. MAIN RESULTS: We demonstrate the use of this technology by implanting 16 channel arrays in the rat nucleus accumbens. Chronic electrophysiology and dopamine signals were detected 1 month post implant. Additionally, electrodes were left in the tissue, sliced in place during histology, and showed minimal tissue damage. SIGNIFICANCE: Our results validate our new technology and methods, which will enable a more comprehensive circuit level understanding of the brain.
OBJECTIVE: Multimodal measurements at the neuronal level allow for detailed insight into local circuit function. However, most behavioral studies focus on one or two modalities and are generally limited by the available technology. APPROACH: Here, we show a combined approach of electrophysiology recordings, chemical sensing, and histological localization of the electrode tips within tissue. The key enabling technology is the underlying use of carbon fiber electrodes, which are small, electrically conductive, and sensitive to dopamine. The carbon fibers were functionalized by coating with Parylene C, a thin insulator with a high dielectric constant, coupled with selective re-exposure of the carbon surface using laser ablation. MAIN RESULTS: We demonstrate the use of this technology by implanting 16 channel arrays in the rat nucleus accumbens. Chronic electrophysiology and dopamine signals were detected 1 month post implant. Additionally, electrodes were left in the tissue, sliced in place during histology, and showed minimal tissue damage. SIGNIFICANCE: Our results validate our new technology and methods, which will enable a more comprehensive circuit level understanding of the brain.
Authors: Zhonghua Ouyang; Nikolas Barrera; Zachariah J Sperry; Elizabeth C Bottorff; Katie C Bittner; Lance Zirpel; Tim M Bruns Journal: Med Biol Eng Comput Date: 2022-03-29 Impact factor: 3.079
Authors: Quentin A Whitsitt; Beomseo Koo; Mahmut Emin Celik; Blake M Evans; James D Weiland; Erin K Purcell Journal: Front Neurosci Date: 2022-07-19 Impact factor: 5.152