Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex
Long-term reliability of intracortical microelectrodes remains a challenge for increased acceptance and deployment. There are conflicting reports comparing measurements associated with recording quality with postmortem histology, in attempts to better understand failure of intracortical microelectro...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/11/9/838 |
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| author | Evon S. Ereifej Youjun Li Monika Goss-Varley Youjoung Kim Seth M. Meade Keying Chen Jacob Rayyan He Feng Keith Dona Justin McMahon Dawn Taylor Jeffrey R. Capadona Jiayang Sun |
| author_facet | Evon S. Ereifej Youjun Li Monika Goss-Varley Youjoung Kim Seth M. Meade Keying Chen Jacob Rayyan He Feng Keith Dona Justin McMahon Dawn Taylor Jeffrey R. Capadona Jiayang Sun |
| author_sort | Evon S. Ereifej |
| collection | DOAJ |
| description | Long-term reliability of intracortical microelectrodes remains a challenge for increased acceptance and deployment. There are conflicting reports comparing measurements associated with recording quality with postmortem histology, in attempts to better understand failure of intracortical microelectrodes (IMEs). Our group has recently introduced the assessment of motor behavior tasks as another metric to evaluate the effects of IME implantation. We hypothesized that adding the third dimension to our analysis, functional behavior testing, could provide substantial insight on the health of the tissue, success of surgery/implantation, and the long-term performance of the implanted device. Here we present our novel analysis scheme including: (1) the use of numerical formal concept analysis (nFCA) and (2) a regression analysis utilizing modern model/variable selection. The analyses found complimentary relationships between the variables. The histological variables for glial cell activation had associations between each other, as well as the neuronal density around the electrode interface. The neuronal density had associations to the electrophysiological recordings and some of the motor behavior metrics analyzed. The novel analyses presented herein describe a valuable tool that can be utilized to assess and understand relationships between diverse variables being investigated. These models can be applied to a wide range of ongoing investigations utilizing various devices and therapeutics. |
| first_indexed | 2024-03-10T16:35:43Z |
| format | Article |
| id | doaj.art-410714de789840f9b2c3c67e584b4ce4 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T16:35:43Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-410714de789840f9b2c3c67e584b4ce42023-11-20T12:28:54ZengMDPI AGMicromachines2072-666X2020-09-0111983810.3390/mi11090838Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor CortexEvon S. Ereifej0Youjun Li1Monika Goss-Varley2Youjoung Kim3Seth M. Meade4Keying Chen5Jacob Rayyan6He Feng7Keith Dona8Justin McMahon9Dawn Taylor10Jeffrey R. Capadona11Jiayang Sun12Departments of Neurology and Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USADepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USAAdvanced Platform Technology Center, Rehabilitation Research and Development, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USADepartment of Statistics, George Mason University, Fairfax, VA 22032, USALong-term reliability of intracortical microelectrodes remains a challenge for increased acceptance and deployment. There are conflicting reports comparing measurements associated with recording quality with postmortem histology, in attempts to better understand failure of intracortical microelectrodes (IMEs). Our group has recently introduced the assessment of motor behavior tasks as another metric to evaluate the effects of IME implantation. We hypothesized that adding the third dimension to our analysis, functional behavior testing, could provide substantial insight on the health of the tissue, success of surgery/implantation, and the long-term performance of the implanted device. Here we present our novel analysis scheme including: (1) the use of numerical formal concept analysis (nFCA) and (2) a regression analysis utilizing modern model/variable selection. The analyses found complimentary relationships between the variables. The histological variables for glial cell activation had associations between each other, as well as the neuronal density around the electrode interface. The neuronal density had associations to the electrophysiological recordings and some of the motor behavior metrics analyzed. The novel analyses presented herein describe a valuable tool that can be utilized to assess and understand relationships between diverse variables being investigated. These models can be applied to a wide range of ongoing investigations utilizing various devices and therapeutics.https://www.mdpi.com/2072-666X/11/9/838intracortical microelectrode performancemotor behaviorinflammationnumerical formal concept analysis (nFCA)regression analysis |
| spellingShingle | Evon S. Ereifej Youjun Li Monika Goss-Varley Youjoung Kim Seth M. Meade Keying Chen Jacob Rayyan He Feng Keith Dona Justin McMahon Dawn Taylor Jeffrey R. Capadona Jiayang Sun Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex Micromachines intracortical microelectrode performance motor behavior inflammation numerical formal concept analysis (nFCA) regression analysis |
| title | Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex |
| title_full | Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex |
| title_fullStr | Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex |
| title_full_unstemmed | Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex |
| title_short | Investigating the Association between Motor Function, Neuroinflammation, and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex |
| title_sort | investigating the association between motor function neuroinflammation and recording metrics in the performance of intracortical microelectrode implanted in motor cortex |
| topic | intracortical microelectrode performance motor behavior inflammation numerical formal concept analysis (nFCA) regression analysis |
| url | https://www.mdpi.com/2072-666X/11/9/838 |
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