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Single-neuron dynamics in human focal epilepsy

Abstract

Epileptic seizures are traditionally characterized as the ultimate expression of monolithic, hypersynchronous neuronal activity arising from unbalanced runaway excitation. Here we report the first examination of spike train patterns in large ensembles of single neurons during seizures in persons with epilepsy. Contrary to the traditional view, neuronal spiking activity during seizure initiation and spread was highly heterogeneous, not hypersynchronous, suggesting complex interactions among different neuronal groups even at the spatial scale of small cortical patches. In contrast to earlier stages, seizure termination is a nearly homogenous phenomenon followed by an almost complete cessation of spiking across recorded neuronal ensembles. Notably, even neurons outside the region of seizure onset showed significant changes in activity minutes before the seizure. These findings suggest a revision of current thinking about seizure mechanisms and point to the possibility of seizure prevention based on spiking activity in neocortical neurons.

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Figure 1: Heterogeneous neuronal spiking patterns during seizure.
Figure 2: Transient suppression of neuronal spiking during the seizure and at seizure termination.
Figure 3: Reproducibility of neuronal spiking modulation patterns across consecutive seizures.
Figure 4: Preictal and ictal modulations in spiking rates.
Figure 5: Preictal and ictal sample path deviations with respect to an interictal period.

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References

  1. Penfield, W.G. & Jasper, H.H. Epilepsy and the Functional Anatomy of the Human Brain (Little, Brown, Boston, 1954).

  2. Schwartzkroin, P.A. Basic mechanisms of epileptogenesis. in The Treatment of Epilepsy (ed. Wyllie, E.) 83–98 (Lea and Febiger, Philadelphia, 1993).

  3. Fisher, R.S. et al. Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 46, 470–472 (2005).

    Article  Google Scholar 

  4. Jiruska, P. et al. High-frequency network activity, global increase in neuronal activity, and synchrony expansion precede epileptic seizures in vitro. J. Neurosci. 30, 5690–5701 (2010).

    Article  CAS  Google Scholar 

  5. Pinto, D.J., Patrick, S.L., Huang, W.C. & Connors, B.W. Initiation, propagation, and termination of epileptiform activity in rodent neocortex in vitro involve distinct mechanisms. J. Neurosci. 25, 8131–8140 (2005).

    Article  CAS  Google Scholar 

  6. Matsumoto, H. & Ajmone Marsan, C. Cortical cellular phenomena in experimental epilepsy: ictal manifestations. Exp. Neurol. 9, 305–326 (1964).

    Article  CAS  Google Scholar 

  7. Sawa, M., Nakamura, K. & Naito, H. Intracellular phenomena and spread of epileptic seizure discharges. Electroencephalogr. Clin. Neurophysiol. 24, 146–154 (1968).

    Article  CAS  Google Scholar 

  8. Bower, M. & Buckmaster, P.S. Changes in granule cell firing rates precede locally recorded spontaneous seizures by minutes in an animal model of temporal lobe epilepsy. J. Neurophysiol. 99, 2431–2442 (2008).

    Article  Google Scholar 

  9. Jefferys, J.G.R. Models and mechanisms of experimental epilepsies. Epilepsia 44 (suppl. 12): 44–50 (2003).

    Article  Google Scholar 

  10. Buckmaster, P.S. Laboratory animal models of temporal lobe epilepsy. Comp. Med. 54, 473–485 (2004).

    CAS  PubMed  Google Scholar 

  11. Halgren, E., Babb, T.L. & Crandall, P.H. Post-EEG seizure depression of human limbic neurons is not determined by their response to probable hypoxia. Epilepsia 18, 89–93 (1977).

    Article  CAS  Google Scholar 

  12. Wyler, A.R., Ojemann, G.A. & Ward, A.A. Jr. Neurons in human epileptic cortex: correlation between unit and EEG activity. Ann. Neurol. 11, 301–308 (1982).

    Article  CAS  Google Scholar 

  13. Babb, T.L., Wilson, C.L. & Isokawa-Akesson, M. Firing patterns of human limbic neurons during stereoencephalography (SEEG) and clinical temporal lobe seizures. Electroencephalogr. Clin. Neurophysiol. 66, 467–482 (1987).

    Article  CAS  Google Scholar 

  14. Engel, A.K., Moll, C.K.E., Fried, I. & Ojeman, G.A. Invasive recordings from the human brain: clinical insights and beyond. Nat. Rev. Neurosci. 6, 35–47 (2005).

    Article  CAS  Google Scholar 

  15. Lopes da Silva, F.H. et al. Dynamical diseases of brain systems: different routes to epilepsy. IEEE Trans. Biomed. Eng. 50, 540–548 (2003).

    Article  Google Scholar 

  16. Mormann, F., Andrzejak, R.G., Elger, C.E. & Lehnertz, K. Seizure prediction: the long and winding road. Brain 130, 314–333 (2007).

    Article  Google Scholar 

  17. Bragin, A., Engel, J. Jr., Wilson, C.L., Fried, I. & Mathern, G.W. Hippocampal and entorhinal cortex high-frequency oscillations (100–500 Hz) in human epileptic brain and in kainic acid-treated rats with chronic seizures. Epilepsia 40, 127–137 (1999).

    Article  CAS  Google Scholar 

  18. Bikson, M., Hahn, P.J., Fox, J.E. & Jefferys, J.G.R. Depolarization block of neurons during maintenance of electrographic seizures. J. Neurophysiol. 90, 2402–2408 (2003).

    Article  Google Scholar 

  19. Ziburkus, J., Cressman, J.R., Barreto, E. & Schiff, S.J. Interneuron and pyramidal cell interplay during in vitro seizure-like events. J. Neurophysiol. 95, 3948–3954 (2006).

    Article  Google Scholar 

  20. Cymerblit-Sabba, A. & Schiller, Y. Network dynamics during development of pharmacologically induced epileptic seizures in rats in vivo. J. Neurosci. 30, 1619–1630 (2010).

    Article  CAS  Google Scholar 

  21. Yaari, Y. & Beck, H. “Epileptic neurons” in temporal lobe epilepsy. Brain Pathol. 12, 234–239 (2002).

    Article  Google Scholar 

  22. Lado, F.A. & Moshe, S.L. How do seizures stop? Epilepsia 49, 1651–1664 (2008).

    Article  Google Scholar 

  23. Bragin, A., Penttonen, M. & Buzsaki, G. Termination of epileptic afterdischarge in the hippocampus. J. Neurosci. 17, 2567–2579 (1997).

    Article  CAS  Google Scholar 

  24. Treiman, D.M. Status epilepticus. in The Treatment of Epilepsy: Principles and Practice. (ed. Wyllie, E.) 681–697 (Lippincott Williams & Wilkins, Philadelphia, 2001).

    Google Scholar 

  25. Jacobs, M.P. et al. Curing epilepsy: progress and future directions. Epilepsy Behav. 14, 438–445 (2009).

    Article  Google Scholar 

  26. Hochberg, L.R. et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442, 164–171 (2006).

    Article  CAS  Google Scholar 

  27. Truccolo, W., Friehs, G.M., Donoghue, J.P. & Hochberg, L.R. Primary motor cortex tuning to intended movement kinematics in humans with tetraplegia. J. Neurosci. 28, 1163–1178 (2008).

    Article  CAS  Google Scholar 

  28. Schevon, C.A. et al. Microphysiology of epileptiform activity in human neocortex. J. Clin. Neurophysiol. 25, 321–330 (2008).

    Article  Google Scholar 

  29. Kim, S.-P., Simeral, J.D., Hochberg, L.R., Donoghue, J.P. & Black, M.J. Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia. J. Neural Eng. 5, 455–476 (2008).

    Article  Google Scholar 

  30. Truccolo, W., Hochberg, L.R. & Donoghue, J.P. Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes. Nat. Neurosci. 13, 105–111 (2010).

    Article  CAS  Google Scholar 

  31. Keller, C.J. et al. Heterogeneous neuronal firing patterns during interictal epileptiform discharges in the human cortex. Brain 133, 1668–1681 (2010).

    Article  Google Scholar 

  32. Santhanam, G. et al. Hermes B: a continuous neural recording system for freely behaving primates. IEEE Trans. Biomed. Eng. 54, 2037–2050 (2007).

    Article  Google Scholar 

  33. Truccolo, W., Eden, U.T., Fellows, M.R., Donoghue, J.P. & Brown, E.N. A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects. J. Neurophysiol. 93, 1074–1089 (2005).

    Article  Google Scholar 

  34. Connors, B.W. Initiation of synchronized neuronal bursting in neocortex. Nature 310, 685–687 (1984).

    Article  CAS  Google Scholar 

  35. Ulbert, I., Heit, G., Madsen, J., Karmos, G. & Halgren, E. Laminar analysis of human neocortical interictal spike generation and propagation: current source density and multiunit analysis in vivo. Epilepsia 45 (suppl. 4): 48–56 (2004).

    Article  Google Scholar 

  36. Amritkar, R.E. & Rangarajan, G. Stability of multicluster synchronization. Int. J. Bifurc. Chaos 19, 4263–4271 (2009).

    Article  Google Scholar 

  37. Amritkar, R.E. & Rangarajan, G. Spatially synchronous extinction of species under external forcing. Phys. Rev. Lett. 96, 258102 (2006).

    Article  CAS  Google Scholar 

  38. Delgado-Escueta, A.V. & Walsh, G.O. The selection process for surgery of intractable complex partial seizures: surface EEG and depth electrography. in Epilepsy (eds. Ward, A.A. Jr., Penry, J.K. & Purpura, D.P.) 295–326 (Raven, New York, 1983).

  39. Engel, J., Crandall, P.H. & Rausch, P. Surgical treatment of partial epilepsies. in The Clinical Neurosciences (eds. Rosenburg, R.N., Grossman, R.G. & Schoclet, S.) 1349–1380 (Churchill Livingston, New York, 1983).

  40. Lewicki, M.S. A review of methods for spike sorting: the detection and classification of neural action potentials. Network 9, 53–78 (1998).

    Article  Google Scholar 

  41. Staba, R.J., Wilson, C.L., Bragin, A., Fried, I. & Engel, J. Jr. Sleep states differentiate single neuron activity recorded from human epileptic hippocampus, entorhinal cortex, and subiculum. J. Neurosci. 22, 5694–5704 (2002).

    Article  CAS  Google Scholar 

  42. Barthó, P. et al. Characterization of neocortical principal cells and interneurons by network interactions and extracellular features. J. Neurophysiol. 92, 600–608 (2004).

    Article  Google Scholar 

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Acknowledgements

The authors thank the patients who participated in this study, as well as the nursing and physician staff at each facility. We also thank A.M. Chan, C.J. Keller, A. Dykstra and J.E. Cormier for technical assistance, and J.P. Donoghue and K.J. Staley for critical reading of the manuscript. This research is funded by a CIMIT grant and US National Institutes of Health (NIH) National Institute of Neurological Disorders and Stroke (NINDS) NS062092 to S.S.C.; an NIH–NINDS Career Award (5K01NS057389) to W.T.; NIH NS018741 to E.H.; NINDS K08NS066099-01A1 to W.S.A.; US National Eye Institute EY017658, US National Institute on Drug Abuse NS063249, US National Science Foundation IOB 0645886, Howard Hughes Medical Institute and the Klingenstein Foundation to E.N.E.; NIH Director's Pioneer Award DP1OD003646 to E.N.B.; US Department of Veterans Affairs Career Development Transition Award, Doris Duke Charitable Foundation–Clinical Scientist Development Award, Massachusetts General Hospital–Deane Institute for Integrated Research on Atrial Fibrillation and Stroke, and NIH-NIDCD R01DC009899 to L.R.H. The contents do not represent the views of the Department of Veterans Affairs or the United States government.

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Authors

Contributions

W.T., S.S.C. and J.A.D. wrote the paper. W.T. and J.A.D. conducted the data analysis. Data collection and preprocessing were done by J.A.D., W.T. and S.S.C. S.S.C., L.R.H., W.T. and E.H. conceived and planned the research. E.N.B. provided guidance on methods of data analysis and interpretation. E.N.E., W.S.A. and J.R.M. performed the surgeries and microelectrode array implantations. All authors participated in editing the manuscript.

Corresponding author

Correspondence to Wilson Truccolo.

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Competing interests

L.R.H. reports receiving research support from Massachusetts General Hospital and Spaulding Rehabilitation Hospital, which in turn received clinical trial support from Cyberkinetics (CKI). CKI ceased operation in 2009.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–11 and Supplementary Table 1 (PDF 1968 kb)

Supplementary Movie 1

Spiking activity on the microelectrode array (subject A, seizure 1). The movie shows the spiking rate of one single unit per electrode in the microelectrode array as a function of time. The largest unit recorded in each electrode was selected. Seizure onset, based on ECoG inspection, is at time zero. Electrodes at the darkest blue locations did not record activity that could be sorted into single units. Spiking rates are shown in spikes per second and were estimated based on 100-ms time bins. The ECoG at four locations is shown below. Location of electrodes OccS2 and GR50 are shown in Fig. 1, main text. The other two are nearby electrodes. (MPG 9226 kb)

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Truccolo, W., Donoghue, J., Hochberg, L. et al. Single-neuron dynamics in human focal epilepsy. Nat Neurosci 14, 635–641 (2011). https://doi.org/10.1038/nn.2782

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