• This record comes from PubMed

Acute to long-term characteristics of impedance recordings during neurostimulation in humans

. 2024 Jan 24 ; () : . [epub] 20240124

Status PubMed-not-MEDLINE Language English Country United States Media electronic

Document type Preprint, Journal Article

Grant support
UG3 NS123066 NINDS NIH HHS - United States
UH3 NS095495 NINDS NIH HHS - United States
R01 NS092882 NINDS NIH HHS - United States
UL1 TR000135 NCATS NIH HHS - United States
R01 NS112144 NINDS NIH HHS - United States

Links

PubMed 38343858
PubMed Central PMC10854350
DOI 10.1101/2024.01.23.24301672
PII: 2024.01.23.24301672
Knihovny.cz E-resources

OBJECTIVE: This study aims to characterize the time course of impedance, a crucial electrophysiological property of brain tissue, in the human thalamus (THL), amygdala-hippocampus (AMG-HPC), and posterior hippocampus (post-HPC) over an extended period. APPROACH: Impedance was periodically sampled every 5-15 minutes over several months in five subjects with drug-resistant epilepsy using an experimental neuromodulation device. Initially, we employed descriptive piecewise and continuous mathematical models to characterize the impedance response for approximately three weeks post-electrode implantation. We then explored the temporal dynamics of impedance during periods when electrical stimulation was temporarily halted, observing a monotonic increase (rebound) in impedance before it stabilized at a higher value. Lastly, we assessed the stability of amplitude and phase over the 24-hour impedance cycle throughout the multi-month recording. MAIN RESULTS: Immediately post-implantation, the impedance decreased, reaching a minimum value in all brain regions within approximately two days, and then increased monotonically over about 14 days to a stable value. The models accounted for the variance in short-term impedance changes. Notably, the minimum impedance of the THL in the most epileptogenic hemisphere was significantly lower than in other regions. During the gaps in electrical stimulation, the impedance rebound decreased over time and stabilized around 200 days post-implant, likely indicative of the foreign body response and fibrous tissue encapsulation around the electrodes. The amplitude and phase of the 24-hour impedance oscillation remained stable throughout the multi-month recording, with circadian variation in impedance dominating the long-term measures. SIGNIFICANCE: Our findings illustrate the complex temporal dynamics of impedance in implanted electrodes and the impact of electrical stimulation. We discuss these dynamics in the context of the known biological foreign body response of the brain to implanted electrodes. The data suggest that the temporal dynamics of impedance are dependent on the anatomical location and tissue epileptogenicity. These insights may offer additional guidance for the delivery of therapeutic stimulation at various time points post-implantation for neuromodulation therapy.

Update In

PubMed

See more in PubMed

Cook J. P. and Ausman J. I., “New features in surgical neurology international for 2013,” (in eng), Surg Neurol Int, vol. 4, p. 33, 2013, doi: 10.4103/2152-7806.109510. PubMed DOI PMC

Sladky V. et al., “Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation,” Brain Communications, vol. 4, no. 3, p. fcac115, 2022/06/01/ 2022, doi: 10.1093/braincomms/fcac115. PubMed DOI PMC

Gregg N. M. et al., “Thalamic deep brain stimulation modulates cycles of seizure risk in epilepsy,” (in en), Sci Rep, vol. 11, no. 1, p. 24250, 2021/12/20/ 2021, doi: 10.1038/s41598-021-03555-7. PubMed DOI PMC

Kremen V. et al., “Integrating Brain Implants With Local and Distributed Computing Devices: A Next Generation Epilepsy Management System,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 6, pp. 1–12, 2018 2018, doi: 10.1109/JTEHM.2018.2869398. PubMed DOI PMC

Gilron R. e. et al., “Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease,” (in en), Nat Biotechnol, vol. 39, no. 9, pp. 1078–1085, 2021/09// 2021, doi: 10.1038/s41587-021-00897-5. PubMed DOI PMC

Sillay K. A. et al., “Long-Term Surface Electrode Impedance Recordings Associated with Gliosis for a Closed-Loop Neurostimulation Device,” (in english), AON, vol. 25, no. 4, pp. 289–298, 2018 2018, doi: 10.1159/000481805. PubMed DOI PMC

Sillay K. A. et al., “Long-Term Measurement of Impedance in Chronically Implanted Depth and Subdural Electrodes During Responsive Neurostimulation in Humans,” (in en), Brain Stimulation, vol. 6, no. 5, pp. 718–726, 2013/09/01/ 2013, doi: 10.1016/j.brs.2013.02.001. PubMed DOI

Mivalt F. et al., “Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans,” (in en), J. Neural Eng., vol. 19, no. 1, p. 016019, 2022/02// 2022, doi: 10.1088/1741-2552/ac4bfd. PubMed DOI PMC

Prasad A. and Sanchez J. C., “Quantifying long-term microelectrode array functionality using chronic in vivo impedance testing,” (in en), J. Neural Eng., vol. 9, no. 2, p. 026028, 2012/03// 2012, doi: 10.1088/1741-2560/9/2/026028. PubMed DOI

Frampton J. P., Hynd M. R., Shuler M. L., and Shain W., “Effects of Glial Cells on Electrode Impedance Recorded from Neural Prosthetic Devices In Vitro,” (in en), Annals of Biomedical Engineering, vol. 38, no. 3, pp. 1031–1047, 2010/03/01/ 2010, doi: 10.1007/s10439-010-9911-y. PubMed DOI

Ward M. P., Rajdev P., Ellison C., and Irazoqui P. P., “Toward a comparison of microelectrodes for acute and chronic recordings,” (in en), Brain Research, vol. 1282, pp. 183–200, 2009/07/28/ 2009, doi: 10.1016/j.brainres.2009.05.052. PubMed DOI

Logothetis N. K., Kayser C., and Oeltermann A., “In Vivo Measurement of Cortical Impedance Spectrum in Monkeys: Implications for Signal Propagation,” (in en), Neuron, vol. 55, no. 5, pp. 809–823, 2007/09/06/ 2007, doi: 10.1016/j.neuron.2007.07.027. PubMed DOI

Grill W. M. and Thomas Mortimer J., “Electrical properties of implant encapsulation tissue,” (in en), Ann Biomed Eng, vol. 22, no. 1, pp. 23–33, 1994/01/01/ 1994, doi: 10.1007/BF02368219. PubMed DOI

Cascino G., Sirven J. I., and Tatum W. O., Epilepsy, Second edition. ed. Hoboken, NJ: Wiley-Blackwell, 2020, p. pages cm.

Noebels J. L. and Jasper H. H., Jasper’s basic mechanisms of the epilepsies, 4th ed. (Contemporary neurology series, no. 80). New York: Oxford University Press, 2012, pp. lvii, 1199 p.

Ranck J. B., “Analysis of specific impedance of rabbit cerebral cortex,” (in en), Experimental Neurology, vol. 7, no. 2, pp. 153–174, 1963/02/01/ 1963, doi: 10.1016/S0014-4886(63)80006-0. PubMed DOI

Ranck J. B., “Specific impedance of rabbit cerebral cortex,” (in en), Experimental Neurology, vol. 7, no. 2, pp. 144–152, 1963/02/01/ 1963, doi: 10.1016/S0014-4886(63)80005-9. PubMed DOI

Xie L. et al., “Sleep Drives Metabolite Clearance from the Adult Brain,” Science, vol. 342, no. 6156, pp. 373–377, 2013/10/18/ 2013, doi: 10.1126/science.1241224. PubMed DOI PMC

Elazar Z., Kado R. T., and Adey W. R., “Impedance Changes during Epileptic Seizures,” (in en), Epilepsia, vol. 7, no. 4, pp. 291–307, 1966 1966, doi: 10.1111/j.1528-1157.1966.tb03809.x. PubMed DOI

Van Harreveld A. and Schadé J. P., “Changes in the electrical conductivity of cerebral cortex during seizure activity,” (in en), Experimental Neurology, vol. 5, no. 5, pp. 383–400, 1962/05/01/ 1962, doi: 10.1016/0014-4886(62)90051-1. PubMed DOI

Ranck J. B., “Electrical impedance in the subicular area of rats during paradoxical sleep,” (in en), Experimental Neurology, vol. 16, no. 4, pp. 416–437, 1966/12/01/ 1966, doi: 10.1016/0014-4886(66)90107-5. PubMed DOI

Ranck J. B., “Electrical impedance changes in many sites of brain in paradoxical sleep, anesthesia, and activity,” (in en), Experimental Neurology, vol. 27, no. 3, pp. 454–475, 1970/06/01/ 1970, doi: 10.1016/0014-4886(70)90107-X. PubMed DOI

Mivalt F. et al., “Impedance Rhythms in Human Limbic System,” (in en), Journal of Neuroscience, vol. 43, no. 39, pp. 6653–6666, 2023/09/27/ 2023, doi: 10.1523/JNEUROSCI.0241-23.2023. PubMed DOI PMC

Johnson M. D., Otto K. J., and Kipke D. R., “Repeated voltage biasing improves unit recordings by reducing resistive tissue impedances,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 13, no. 2, pp. 160–165, 2005/06// 2005, doi: 10.1109/TNSRE.2005.847373. PubMed DOI

Krishnamachari B., Bejar R., and Wicker S., “Distributed problem solving and the boundaries of self-configuration in multi-hop wireless networks,” in Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 2002/01// 2002, pp. 3856–3865, doi: 10.1109/HICSS.2002.994520. [Online]. Available: https://ieeexplore.ieee.org/document/994520 DOI

Zeger S. L. and Liang K.-Y., “Longitudinal Data Analysis for Discrete and Continuous Outcomes,” Biometrics, vol. 42, no. 1, pp. 121–130, 1986 1986, doi: 10.2307/2531248. PubMed DOI

Ratcliffe S. J. and Shults J., “GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares,” (in en), Journal of Statistical Software, vol. 25, pp. 1–14, 2008/05/01/ 2008, doi: 10.18637/jss.v025.i14. DOI

Robblee L. S., Lefko J. L., and Brummer S. B., “Activated Ir: An Electrode Suitable for Reversible Charge Injection in Saline Solution,” (in en), J. Electrochem. Soc., vol. 130, no. 3, p. 731, 1983/03/01/ 1983, doi: 10.1149/1.2119793. DOI

Anderson J. M., “Biological Responses to Materials,” Annual Review of Materials Research, vol. 31, no. 1, pp. 81–110, 2001 2001, doi: 10.1146/annurev.matsci.31.1.81. DOI

Grill W. M., Norman S. E., and Bellamkonda R. V., “Implanted Neural Interfaces: Biochallenges and Engineered Solutions,” Annual Review of Biomedical Engineering, vol. 11, no. 1, pp. 1–24, 2009 2009, doi: 10.1146/annurev-bioeng-061008-124927. PubMed DOI

Wurth S. et al., “Long-term usability and bio-integration of polyimide-based intra-neural stimulating electrodes,” (in en), Biomaterials, vol. 122, pp. 114–129, 2017/04/01/ 2017, doi: 10.1016/j.biomaterials.2017.01.014. PubMed DOI

Bosco D. B., Tian D.-S., and Wu L.-J., “Neuroimmune interaction in seizures and epilepsy: focusing on monocyte infiltration,” (in en), The FEBS Journal, vol. 287, no. 22, pp. 4822–4837, 2020 2020, doi: 10.1111/febs.15428. PubMed DOI PMC

Feng L. et al., “Microglial proliferation and monocyte infiltration contribute to microgliosis following status epilepticus,” (in en), Glia, vol. 67, no. 8, pp. 1434–1448, 2019 2019, doi: 10.1002/glia.23616. PubMed DOI PMC

Vezzani A., French J., Bartfai T., and Baram T. Z., “The role of inflammation in epilepsy,” (in en), Nat Rev Neurol, vol. 7, no. 1, pp. 31–40, 2011/01// 2011, doi: 10.1038/nrneurol.2010.178. PubMed DOI PMC

Vezzani A. and Granata T., “Brain Inflammation in Epilepsy: Experimental and Clinical Evidence,” (in en), Epilepsia, vol. 46, no. 11, pp. 1724–1743, 2005 2005, doi: 10.1111/j.1528-1167.2005.00298.x. PubMed DOI

Broberg M., Pope K. J., Lewis T., Olsson T., Nilsson M., and Willoughby J. O., “Cell swelling precedes seizures induced by inhibition of astrocytic metabolism,” (in en), Epilepsy Research, vol. 80, no. 2, pp. 132–141, 2008/08/01/ 2008, doi: 10.1016/j.eplepsyres.2008.03.012. PubMed DOI

Dietzel I., Heinemann U., Hofmeier G., and Lux H. D., “Transient changes in the size of the extracellular space in the sensorimotor cortex of cats in relation to stimulus-induced changes in potassium concentration,” (in en), Exp Brain Res, vol. 40, no. 4, pp. 432–439, 1980/11/01/ 1980, doi: 10.1007/BF00236151. PubMed DOI

Chaney R., Garnier P., Quirié A., Martin A., Prigent-Tessier A., and Marie C., “Region-Dependent Increase of Cerebral Blood Flow During Electrically Induced Contraction of the Hindlimbs in Rats,” Frontiers in Physiology, vol. 13, 2022 2022. [Online]. Available: 10.3389/fphys.2022.811118. PubMed DOI PMC

Otto K. J., Johnson M. D., and Kipke D. R., “Voltage pulses change neural interface properties and improve unit recordings with chronically implanted microelectrodes,” IEEE Transactions on Biomedical Engineering, vol. 53, no. 2, pp. 333–340, 2006/02// 2006, doi: 10.1109/TBME.2005.862530. PubMed DOI

Find record

Citation metrics

Loading data ...