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Biofísica da crise epiléptica: o papel da diferença de voltagem local

  • role： Corresponding author, Contribute equally, First author通信作者, 同等贡献者, 第一作者
  • Affiliation：

    Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing 210039, China

  • Email：yinkuiying77@outlook.com
  • Introduction：* Kui-Ying Yin yinkuiying77@outlook.com
Kui-Ying Yin1*,  
  • role： Corresponding author, Contribute equally通信作者, 同等贡献者
  • Affiliation：

    Beijing Institute of Functional Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing 100053, China

  • Email：yutaoly@sina.com
  • Introduction：Tao Yu yutaoly@sina.com
Tao Yu2*,  
  • Affiliation：

    Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing 210039, China

Chuan Liu1,  
  • Affiliation：

    Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing 210039, China

Jin-Rong Yin1

Resumo

ContextoA epilepsia é um distúrbio neurológico caracterizado por crises recorrentes devido à atividade hiperexcitável da rede neuronal. As manifestações variam amplamente, desde distúrbios sensoriais sutis até alterações profundas da consciência, dependendo das regiões cerebrais afetadas e de sua etiologia subjacente. Explorar os mecanismos biofísicos das crises epilépticas é fundamental para prever e controlar a doença.MétodosAnalisamos 45 crises espontâneas registradas de 24 pacientes com epilepsia focal, bem como crises induzidas por estimulação de 2 pacientes adicionais. Um filtro passa-baixa Butterworth de segunda ordem isolou o componente de corrente contínua de variação lenta (Sv DC) (0,01–0,5 Hz), uma faixa de frequência frequentemente negligenciada na eletroencefalografia. A proporção energética do componente Sv DC foi calculada dividindo sua energia total pela energia total do sinal durante as crises e ao longo de um período de 1 hora incluindo a crise, permitindo a comparação entre os estados ictais e interictais.ResultadosO componente Sv DC exibiu mudanças espaciais dinâmicas durante os períodos ictal e interictal e mostrou uma correlação moderada com a atividade de alta frequência. Além disso, representou uma alta proporção de energia em ambos os períodos, com dados das crises mostrando que 80,82% dos eletrodos tiveram ≥ 60% de energia Sv DC. Notavelmente, as flutuações interictais do Sv DC foram mais pronunciadas em eletrodos localizados dentro da zona epileptogênica, sugerindo seu potencial como marcador para a localização epileptogênica. Além disso, a variabilidade temporal do sinal Sv DC, refletida em sua dispersão, demonstra potencial como um indicador precoce do desenvolvimento da crise.ConclusõesO componente Sv DC pode refletir diferenças locais de voltagem provavelmente ligadas à atividade dos canais iônicos, potencialmente contribuindo para a iniciação da crise. A análise combinada do Sv DC com componentes de baixa e alta frequência oferece um quadro abrangente para compreender redes epilépticas e orientar o diagnóstico e a terapia.

Palavras-chave

epilepsia;crises epilépticas;campo de corrente contínua de variação lenta (Sv DC);diferença de voltagem local;zona epileptogênica

References

  1. 1..
    Ali R,Connolly ID,Feroze AH,Awad AJ,Choudhri OA,Grant GA. Epilepsy: a disruptive force in history. World Neurosurg. 2016;90:685-90.
  2. 2..
    Beghi E,Giussani G. Aging and the epidemiology of epilepsy. Neuroepidemiology. 2018;51(3–4):216-23.
  3. 3..
    Fiest KM,Sauro KM,Wiebe S,Patten SB,Kwon CS,Dykeman J, et al. Prevalence and incidence of epilepsy: a systematic review and meta-analysis of international studies. Neurology. 2017;88(3):296-303.
  4. 4..
    Thijs RD,Surges R,O’Brien TJ,Sander JW. Epilepsy in adults. Lancet.2019;393(10172):689-701.
  5. 5..
    Pitkänen A,JrEngel J. Past and present definitions of epileptogenesis and its biomarkers. Neurotherapeutics. 2014;11(2):231-41.
  6. 6..
    Sidhu MK,Duncan JS,Sander JW. Neuroimaging in epilepsy. Curr Opin Neurol. 2018;31(4):371-8.
  7. 7..
    Helbig I,Lowenstein DH. Genetics of the epilepsies: where are we and where are we going?. Curr Opin Neurol. 2013;26(2):179-85.
  8. 8..
    Prakash C,Kumar P,Sharma D. Recent advances in pathophysiology and therapeutic approaches in epilepsy. Brain Sci. 2024;14(8):785.
  9. 9..
    Depannemaecker D,Ivanov A,Lillo D,Spek L,Bernard C,Jirsa V. A unified physiological framework of transitions between seizures, sustained ictal activity and depolarization block at the single neuron level. J Comput Neurosci. 2022;50(1):33-49.
  10. 10..
    Yh EC,Truccolo W. Interaction between synaptic inhibition and glial-potassium dynamics leads to diverse seizure transition modes in biophysical models of human focal seizures. J Comput Neurosci.2016;41(2):225-44.
  11. 11..
    Buchin A,Chizhov A,Huberfeld G,Miles R,Gutkin BS. Reduced efficacy of the kcc2 cotransporter promotes epileptic oscillations in a subiculum network model. J Neurosci. 2016;36(46):11619-33.
  12. 12..
    Liou JY,Smith EH,Bateman LM,Bruce SL,McKhann GM,Goodman RR, et al. A model for focal seizure onset, propagation, evolution, and progression. Elife. 2020;9:e50927.
  13. 13..
    Zhang H,Zhou QQ,Chen H,Hu XQ,Li WG,Bai Y, et al. The applied principles of eeg analysis methods in neuroscience and clinical neurology. Mil Med Res. 2023;10(1):67.
  14. 14..
    Revajova K,Travnicek V,Jurak P,Vasickova Z,Halamek J,Klimes P, et al. Interictal invasive very high-frequency oscillations in resting awake state and sleep. Sci Rep. 2023;13(1):19225.
  15. 15..
    Stovall T,Hunt B,Glynn S,Stacey WC,Gliske SV. Interictal high frequency background activity as a biomarker of epileptogenic tissue. Brain Commun. 2021;3(3):fcab188.
  16. 16..
    Nakatani M,Inouchi M,Daifu-Kobayashi M,Murai T,Togawa J,Kajikawa S, et al. Ictal direct current shifts contribute to defining the core ictal focus in epilepsy surgery. Brain Commun. 2022;4(5):fcac222.
  17. 17..
    Izumi M,Kobayashi K,Kajikawa S,Kanazawa K,Takayama Y,Iijima K, et al. Focal ictal direct current shifts by a time constant of 2 seconds were clinically useful for resective epilepsy surgery. Epilepsia.2023;64(12):3294-306.
  18. 18..
    Thompson SA,Krishnan B,Gonzalez-Martinez J,Bulacio J,Jehi L,Mosher J, et al. Ictal infraslow activity in stereoelectroencephalography: beyond the“dc shift”. Clin Neurophysiol. 2016;127(1):117-28.
  19. 19..
    Lowet E,Roberts MJ,Bonizzi P,Karel J,De Weerd P. Quantifying neural oscillatory synchronization: a comparison between spectral coherence and phase-locking value approaches. PLoS One. 2016;11(1):e0146443.
  20. 20..
    Elahian B,Yeasin M,Mudigoudar B,Wheless JW,Babajani-Feremi A. Identifying seizure onset zone from electrocorticographic recordings: a machine learning approach based on phase locking value. Seizure.2017;51:35-42.
  21. 21..
    Tortella-Feliu M,Morillas-Romero A,Balle M,Llabrés J,Bornas X,Putman P. Spontaneous eeg activity and spontaneous emotion regulation. Int J Psychophysiol. 2014;94(3):365-72.
  22. 22..
    Herrmann CS,Strüber D,Helfrich RF,Engel AK. Eeg oscillations: from correlation to causality. Int J Psychophysiol. 2016;103:12-21.
  23. 23..
    McWeeny S,Norton ES. Understanding event-related potentials (erps) in clinical and basic language and communication disorders research: a tutorial. Int J Lang Commun Disord. 2020;55(4):445-57.
  24. 24..
    Qiu C,Shivacharan RS,Zhang M,Durand DM. Can neural activity propagate by endogenous electrical field?. J Neurosci. 2015;35(48):15800-11.
  25. 25..
    Shivacharan RS,Chiang CC,Zhang M,Gonzalez-Reyes LE,Durand DM. Self-propagating, non-synaptic epileptiform activity recruits neurons by endogenous electric fields. Exp Neurol. 2019;317:119-28.
  26. 26..
    Shivacharan RS,Chiang CC,Wei X,Subramanian M,Couturier NH,Pakalapati N, et al. Neural recruitment by ephaptic coupling in epilepsy. Epilepsia. 2021;62(7):1505-17.
  27. 27..
    Subramanian M,Chiang CC,Couturier NH,Durand DM. Theta waves, neural spikes and seizures can propagate by ephaptic coupling in vivo. Exp Neurol. 2022;354:114109.
  28. 28..
    Haberly LB. Recruitment of interictal- and ictal-like discharges in posterior piriform cortex by delta-rate (1–4 hz) focal bursts in anterior piriform cortex in vivo. Epilepsy Res. 2022;187:107032.
  29. 29..
    Doubovikov ED,Serdyukova NA,Greenberg SB,Gascoigne DA,Minhaj MM,Aksenov DP. Electric field effects on brain activity: implications for epilepsy and burst suppression. Cells. 2023;12(18):2229.
  30. 30..
    de Curtis M,Avoli M. Gabaergic networks jump-start focal seizures. Epilepsia. 2016;57(5):679-87.
  31. 31..
    Patel DC,Tewari BP,Chaunsali L,Sontheimer H. Neuron-glia interactions in the pathophysiology of epilepsy. Nat Rev Neurosci. 2019;20(5):282-97.
  32. 32..
    Kinboshi M,Ikeda A,Ohno Y. Role of astrocytic inwardly rectifying potassium (kir) 4.1 channels in epileptogenesis. Front Neurol. 2020;11:626658.
  33. 33..
    Steinhauser C,Seifert G,Bedner P. Astrocyte dysfunction in temporal lobe epilepsy: K+ channels and gap junction coupling. Glia.2012;60(8):1192-202.
  34. 34..
    Heuser K,Eid T,Lauritzen F,Thoren AE,Vindedal GF,Tauboll E, et al. Loss of perivascular kir4.1 potassium channels in the sclerotic hippocampus of patients with mesial temporal lobe epilepsy. J Neuropathol Exp Neurol.2012;71(9):814-25.
  35. 35..
    Kinboshi M,Shimizu S,Mashimo T,Serikawa T,Ito H,Ikeda A, et al. Down-regulation of astrocytic kir4.1 channels during the audiogenic epileptogenesis in leucine-rich glioma-inactivated 1 (lgi1) mutant rats. Int J Mol Sci. 2019;20(5):1013.
  36. 36..
    Twible C,Abdo R,Zhang Q. Astrocyte role in temporal lobe epilepsy and development of mossy fiber sprouting. Front Cell Neurosci.2021;15:725693.
  37. 37..
    Kodam A,Ourdev D,Maulik M,Hariharakrishnan J,Banerjee M,Wang Y, et al. A role for astrocyte-derived amyloid beta peptides in the degeneration of neurons in an animal model of temporal lobe epilepsy. Brain Pathol. 2019;29(1):28-44.
  38. 38..
    Doyon N,Vinay L,Prescott SA,De Koninck Y. Chloride regulation: a dynamic equilibrium crucial for synaptic inhibition. Neuron.2016;89(6):1157-72.
  39. 39..
    Ohno Y,Kinboshi M,Shimizu S. Inwardly rectifying potassium channel kir4.1 as a novel modulator of bdnf expression in astrocytes. Int J Mol Sci.2018;19(11):3313.
  40. 40..
    Diaz Verdugo C,Myren-Svelstad S,Aydin E,Van Hoeymissen E,Deneubourg C,Vanderhaeghe S, et al. Glia-neuron interactions underlie state transitions to generalized seizures. Nat Commun. 2019;10(1):3830.
  41. 41..
    Carcak N,Onat F,Sitnikova E. Astrocytes as a target for therapeutic strategies in epilepsy: current insights. Front Mol Neurosci. 2023;16:1183775.
  42. 42..
    Norby JH,Hummel D,Ricks N,Rolston J,Rahimpour S,Cowan R, et al. Rodent and human seizures demonstrate a dynamic interplay with spreading depolarizations. Neurobiol Dis. 2025;211:106937.

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