Your browser doesn't support javascript.
loading
Neuronal Firing and Waveform Alterations through Ictal Recruitment in Humans.
Merricks, Edward M; Smith, Elliot H; Emerson, Ronald G; Bateman, Lisa M; McKhann, Guy M; Goodman, Robert R; Sheth, Sameer A; Greger, Bradley; House, Paul A; Trevelyan, Andrew J; Schevon, Catherine A.
Afiliación
  • Merricks EM; Department of Neurology, Columbia University Medical Center, New York, New York, 10032.
  • Smith EH; Department of Neurology, Columbia University Medical Center, New York, New York, 10032.
  • Emerson RG; Department of Neurosurgery, University of Utah, Salt Lake City, Utah, 84132.
  • Bateman LM; Department of Neurology, Weill Cornell Medical Center, New York, New York, 10065.
  • McKhann GM; Department of Neurology, Columbia University Medical Center, New York, New York, 10032.
  • Goodman RR; Department of Neurosurgery, Columbia University Medical Center, New York, New York, 10032.
  • Sheth SA; Department of Neurosurgery, Lenox Hill Hospital, New York, New York, 10075.
  • Greger B; Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, 77030.
  • House PA; School of Biology and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85287.
  • Trevelyan AJ; Intermountain Healthcare, Murray, Utah, 84107.
  • Schevon CA; Newcastle University Biosciences Institute, Newcastle upon Tyne, United Kingdom, NE2 4HH.
J Neurosci ; 41(4): 766-779, 2021 01 27.
Article en En | MEDLINE | ID: mdl-33229500
Analyzing neuronal activity during human seizures is pivotal to understanding mechanisms of seizure onset and propagation. These analyses, however, invariably using extracellular recordings, are greatly hindered by various phenomena that are well established in animal studies: changes in local ionic concentration, changes in ionic conductance, and intense, hypersynchronous firing. The first two alter the action potential waveform, whereas the third increases the "noise"; all three factors confound attempts to detect and classify single neurons. To address these analytical difficulties, we developed a novel template-matching-based spike sorting method, which enabled identification of 1239 single neurons in 27 patients (13 female) with intractable focal epilepsy, that were tracked throughout multiple seizures. These new analyses showed continued neuronal firing with widespread intense activation and stereotyped action potential alterations in tissue that was invaded by the seizure: neurons displayed increased waveform duration (p < 0.001) and reduced amplitude (p < 0.001), consistent with prior animal studies. By contrast, neurons in "penumbral" regions (those receiving intense local synaptic drive from the seizure but without neuronal evidence of local seizure invasion) showed stable waveforms. All neurons returned to their preictal waveforms after seizure termination. We conclude that the distinction between "core" territories invaded by the seizure versus "penumbral" territories is evident at the level of single neurons. Furthermore, the increased waveform duration and decreased waveform amplitude are neuron-intrinsic hallmarks of seizure invasion that impede traditional spike sorting and could be used as defining characteristics of local recruitment.SIGNIFICANCE STATEMENT Animal studies consistently show marked changes in action potential waveform during epileptic discharges, but acquiring similar evidence in humans has proven difficult. Assessing neuronal involvement in ictal events is pivotal to understanding seizure dynamics and in defining clinical localization of epileptic pathology. Using a novel method to track neuronal firing, we analyzed microelectrode array recordings of spontaneously occurring human seizures, and here report two dichotomous activity patterns. In cortex that is recruited to the seizure, neuronal firing rates increase and waveforms become longer in duration and shorter in amplitude as the neurons are recruited to the seizure, while penumbral tissue shows stable action potentials, in keeping with the "dual territory" model of seizure dynamics.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Convulsiones / Electroencefalografía / Neuronas Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Neurosci Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Convulsiones / Electroencefalografía / Neuronas Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Neurosci Año: 2021 Tipo del documento: Article