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Advances in EEG: home video telemetry, high frequency oscillations and electrical source imaging

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Abstract

Over the last two decades, technological advances in electroencephalography (EEG) have allowed us to extend its clinical utility for the evaluation of patients with epilepsy. This article reviews three main areas in which substantial advances have been made in the diagnosis and pre-surgical planning of patients with epilepsy. Firstly, the development of small portable video-EEG systems have allowed some patients to record their attacks at home, thereby improving diagnosis, with consequent substantial healthcare and economic implications. Secondly, in specialist centres carrying out epilepsy surgery, there has been considerable interest in whether bursts of very high frequency EEG activity can help to determine the regions of the brain likely to be generating the seizures. Identification of these discharges, initially only recorded from intracranial electrodes, may thus allow better surgical planning and improve surgical outcomes. Finally we discuss the contribution of electrical source imaging in the pre-surgical evaluation of patients with focal epilepsy, and its prospects for the future.

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References

  1. Ngugi AK, Bottomley C, Kleinschmidt I, Sander JW, Newton CR (2010) Estimation of the burden of active and life-time epilepsy: a meta-analytic approach. Epilepsia 51:883–890

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kwan P, Brodie MJ (2000) Early identification of refractory epilepsy. The New England journal of medicine 342:314–319

    Article  CAS  PubMed  Google Scholar 

  3. Rosenow F, Luders H (2001) Presurgical evaluation of epilepsy. Brain 124:1683–1700

    Article  CAS  PubMed  Google Scholar 

  4. Beun AM, Gutter T, Overweg J (1994) Home EEG and video monitoring in epilepsy: first experiences. Clin Neurol Neurosurg 96:257–260

    Article  CAS  PubMed  Google Scholar 

  5. Goodwin E, Kandler RH, Alix JJ (2014) The value of home video with ambulatory EEG: a prospective service review. Seizure 23:480–482

    Article  PubMed  Google Scholar 

  6. American Clinical Neurophysiology Society (2008) Guideline twelve: guidelines for long-term monitoring for epilepsy. J Clin Neurophysiol 25:170–180

  7. Velis D, Plouin P, Gotman J, da Silva FL (2007) Recommendations regarding the requirements and applications for long-term recordings in epilepsy. Epilepsia 48:379–384

    Article  PubMed  Google Scholar 

  8. Benbadis SR (2015) What type of EEG (or EEG-video) does your patient need? Expert Rev Neurother 15(5):461–464. doi:10.1586/14737175.2015.1029918

    Article  CAS  PubMed  Google Scholar 

  9. Brunnhuber F, Amin D, Nguyen Y, Goyal S, Richardson MP (2014) Development, evaluation and implementation of video-EEG telemetry at home. Seizure 23:338–343

    Article  PubMed  Google Scholar 

  10. Bragin A, Engel J Jr, Wilson CL, Fried I, Buzsaki G (1999) High-frequency oscillations in human brain. Hippocampus 9:137–142

    Article  CAS  PubMed  Google Scholar 

  11. Bragin A, Engel J Jr, Wilson CL, Fried I, Mathern GW (1999) 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

    Article  CAS  PubMed  Google Scholar 

  12. Staba RJ, Wilson CL, Bragin A, Fried I, Engel J Jr (2002) Quantitative analysis of high-frequency oscillations (80–500 Hz) recorded in human epileptic hippocampus and entorhinal cortex. J Neurophysiol 88:1743–1752

    PubMed  Google Scholar 

  13. Jacobs J, LeVan P, Chander R, Hall J, Dubeau F, Gotman J (2008) Interictal high-frequency oscillations (80–500 Hz) are an indicator of seizure onset areas independent of spikes in the human epileptic brain. Epilepsia 49:1893–1907

    Article  PubMed  PubMed Central  Google Scholar 

  14. Jacobs J, Zijlmans M, Zelmann R, Olivier A, Hall J, Gotman J, Dubeau F (2010) Value of electrical stimulation and high frequency oscillations (80–500 Hz) in identifying epileptogenic areas during intracranial EEG recordings. Epilepsia 51:573–582

    Article  PubMed  Google Scholar 

  15. Worrell GA, Gardner AB, Stead SM, Hu S, Goerss S, Cascino GJ, Meyer FB, Marsh R, Litt B (2008) High-frequency oscillations in human temporal lobe: simultaneous microwire and clinical macroelectrode recordings. Brain 131:928–937

    Article  PubMed  PubMed Central  Google Scholar 

  16. Jirsch JD, Urrestarazu E, LeVan P, Olivier A, Dubeau F, Gotman J (2006) High-frequency oscillations during human focal seizures. Brain 129:1593–1608

    Article  CAS  PubMed  Google Scholar 

  17. Staba RJ, Wilson CL, Bragin A, Jhung D, Fried I, Engel J Jr (2004) High-frequency oscillations recorded in human medial temporal lobe during sleep. Ann Neurol 56:108–115

    Article  PubMed  Google Scholar 

  18. Urrestarazu E, Chander R, Dubeau F, Gotman J (2007) Interictal high-frequency oscillations (100–500 Hz) in the intracerebral EEG of epileptic patients. Brain 130:2354–2366

    Article  PubMed  Google Scholar 

  19. Crepon B, Navarro V, Hasboun D, Clemenceau S, Martinerie J, Baulac M, Adam C, Le Van Quyen M (2010) Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy. Brain 133:33–45

    Article  PubMed  Google Scholar 

  20. Jacobs J, Zelmann R, Jirsch J, Chander R, Dubeau CE, Gotman J (2009) High frequency oscillations (80–500 Hz) in the preictal period in patients with focal seizures. Epilepsia 50:1780–1792

    Article  PubMed  PubMed Central  Google Scholar 

  21. Andrade-Valenca L, Mari F, Jacobs J, Zijlmans M, Olivier A, Gotman J, Dubeau F (2012) Interictal high frequency oscillations (HFOs) in patients with focal epilepsy and normal MRI. Clin Neurophysiol 123:100–105

    Article  PubMed  Google Scholar 

  22. Jacobs J, Zijlmans M, Zelmann R, Chatillon CE, Hall J, Olivier A, Dubeau F, Gotman J (2010) High-frequency electroencephalographic oscillations correlate with outcome of epilepsy surgery. Ann Neurol 67:209–220

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wu JY, Sankar R, Lerner JT, Matsumoto JH, Vinters HV, Mathern GW (2010) Removing interictal fast ripples on electrocorticography linked with seizure freedom in children. Neurology 75:1686–1694

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Akiyama T, McCoy B, Go CY, Ochi A, Elliott IM, Akiyama M, Donner EJ, Weiss SK, Snead OC 3rd, Rutka JT, Drake JM, Otsubo H (2011) Focal resection of fast ripples on extraoperative intracranial EEG improves seizure outcome in pediatric epilepsy. Epilepsia 52:1802–1811

    Article  PubMed  Google Scholar 

  25. van ‘t Klooster MA, van Klink NE, Leijten FS, Zelmann R, Gebbink TA, Gosselaar PH, Braun KP, Huiskamp GJ, Zijlmans M (2015) Residual fast ripples in the intraoperative corticogram predict epilepsy surgery outcome. Neurology 85:120–128

    Article  PubMed  Google Scholar 

  26. Wang S, Wang IZ, Bulacio JC, Mosher JC, Gonzalez-Martinez J, Alexopoulos AV, Najm IM, So NK (2013) Ripple classification helps to localize the seizure-onset zone in neocortical epilepsy. Epilepsia 54:370–376

    Article  PubMed  Google Scholar 

  27. Zijlmans M, Jacobs J, Zelmann R, Dubeau F, Gotman J (2009) High-frequency oscillations mirror disease activity in patients with epilepsy. Neurology 72:979–986

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Zelmann R, Lina JM, Schulze-Bonhage A, Gotman J, Jacobs J (2014) Scalp EEG is not a blur: it can see high frequency oscillations although their generators are small. Brain Topogr 27:683–704

    Article  CAS  PubMed  Google Scholar 

  29. Wu JY, Koh S, Sankar R, Mathern GW (2008) Paroxysmal fast activity: an interictal scalp EEG marker of epileptogenesis in children. Epilepsy Res 82:99–106

    Article  PubMed  PubMed Central  Google Scholar 

  30. Andrade-Valenca LP, Dubeau F, Mari F, Zelmann R, Gotman J (2011) Interictal scalp fast oscillations as a marker of the seizure onset zone. Neurology 77:524–531

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Melani F, Zelmann R, Dubeau F, Gotman J (2013) Occurrence of scalp-fast oscillations among patients with different spiking rate and their role as epileptogenicity marker. Epilepsy Res 106:345–356

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kobayashi K, Yoshinaga H, Toda Y, Inoue T, Oka M, Ohtsuka Y (2011) High-frequency oscillations in idiopathic partial epilepsy of childhood. Epilepsia 52:1812–1819

    Article  PubMed  Google Scholar 

  33. Kobayashi K, Watanabe Y, Inoue T, Oka M, Yoshinaga H, Ohtsuka Y (2010) Scalp-recorded high-frequency oscillations in childhood sleep-induced electrical status epilepticus. Epilepsia 51:2190–2194

    Article  PubMed  Google Scholar 

  34. Kobayashi K, Akiyama T, Oka M, Endoh F, Yoshinaga H (2015) A storm of fast (40–150 Hz) oscillations during hypsarrhythmia in West syndrome. Ann Neurol 77:58–67

    Article  CAS  PubMed  Google Scholar 

  35. Chaitanya G, Sinha S, Narayanan M, Satishchandra P (2015) Scalp high frequency oscillations (HFOs) in absence epilepsy: an independent component analysis (ICA) based approach. Epilepsy Res 115:133–140

    Article  PubMed  Google Scholar 

  36. van ‘t Klooster MA, Leijten FS, Huiskamp G, Ronner HE, Baayen JC, van Rijen PC, Eijkemans MJ, Braun KP, Zijlmans M (2015) High frequency oscillations in the intra-operative ECoG to guide epilepsy surgery (“The HFO Trial”): study protocol for a randomized controlled trial. Trials 16:422

    Article  PubMed  PubMed Central  Google Scholar 

  37. Brodbeck V, Spinelli L, Lascano AM, Wissmeier M, Vargas MI, Vulliemoz S, Pollo C, Schaller K, Michel CM, Seeck M (2011) Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients. Brain 134:2887–2897

    Article  PubMed  PubMed Central  Google Scholar 

  38. Rossetti AO, Kaplan PW (2010) Seizure semiology: an overview of the ‘inverse problem’. Eur Neurol 63:3–10

    Article  PubMed  Google Scholar 

  39. Michel CM, Lantz G, Spinelli L, De Peralta RG, Landis T, Seeck M (2004) 128-channel EEG source imaging in epilepsy: clinical yield and localization precision. J Clin Neurophysiol 21:71–83

    Article  PubMed  Google Scholar 

  40. Holmes MD, Tucker DM, Quiring JM, Hakimian S, Miller JW, Ojemann JG (2010) Comparing noninvasive dense array and intracranial electroencephalography for localization of seizures. Neurosurgery 66:354–362

    Article  PubMed  Google Scholar 

  41. Blanke O, Lantz G, Seeck M, Spinelli L, Grave de Peralta R, Thut G, Landis T, Michel CM (2000) Temporal and spatial determination of EEG-seizure onset in the frequency domain. Clin Neurophysiol 111:763–772

    Article  CAS  PubMed  Google Scholar 

  42. Lantz G, Spinelli L, Seeck M, de Peralta Menendez RG, Sottas CC, Michel CM (2003) Propagation of interictal epileptiform activity can lead to erroneous source localizations: a 128-channel EEG mapping study. J Clin Neurophysiol 20:311–319

    Article  PubMed  Google Scholar 

  43. Spinelli L, Andino SG, Lantz G, Seeck M, Michel CM (2000) Electromagnetic inverse solutions in anatomically constrained spherical head models. Brain Topogr 13:115–125

    Article  CAS  PubMed  Google Scholar 

  44. Brodbeck V, Lascano AM, Spinelli L, Seeck M, Michel CM (2009) Accuracy of EEG source imaging of epileptic spikes in patients with large brain lesions. Clin Neurophysiol 120:679–685

    Article  PubMed  Google Scholar 

  45. Birot G, Spinelli L, Vulliemoz S, Megevand P, Brunet D, Seeck M, Michel CM (2014) Head model and electrical source imaging: a study of 38 epileptic patients. NeuroImage Clin 5:77–83

    Article  PubMed  PubMed Central  Google Scholar 

  46. Gavaret M, Badier JM, Marquis P, Bartolomei F, Chauvel P (2004) Electric source imaging in temporal lobe epilepsy. J Clin Neurophysiol 21:267–282

    Article  PubMed  Google Scholar 

  47. Gavaret M, Badier JM, Marquis P, McGonigal A, Bartolomei F, Regis J, Chauvel P (2006) Electric source imaging in frontal lobe epilepsy. J Clin Neurophysiol 23:358–370

    Article  PubMed  Google Scholar 

  48. Rikir E, Koessler L, Gavaret M, Bartolomei F, Colnat-Coulbois S, Vignal JP, Vespignani H, Ramantani G, Maillard LG (2014) Electrical source imaging in cortical malformation-related epilepsy: a prospective EEG-SEEG concordance study. Epilepsia 55:918–932

    Article  PubMed  Google Scholar 

  49. Yamazaki M, Tucker DM, Terrill M, Fujimoto A, Yamamoto T (2013) Dense array EEG source estimation in neocortical epilepsy. Front Neurol 4:42

    PubMed  PubMed Central  Google Scholar 

  50. Brodbeck V, Spinelli L, Lascano AM, Pollo C, Schaller K, Vargas MI, Wissmeyer M, Michel CM, Seeck M (2010) Electrical source imaging for presurgical focus localization in epilepsy patients with normal MRI. Epilepsia 51:583–591

    Article  PubMed  Google Scholar 

  51. Kargiotis O, Lascano AM, Garibotto V, Spinelli L, Genetti M, Wissmeyer M, Korff CM, Momjian S, Michel CM, Seeck M, Vulliemoz S (2014) Localization of the epileptogenic tuber with electric source imaging in patients with tuberous sclerosis. Epilepsy Res 108:267–279

    Article  PubMed  Google Scholar 

  52. Lascano AM, Perneger T, Vulliemoz S, Spinelli L, Garibotto V, Korff CM, Vargas MI, Michel CM, Seeck M (2016) Yield of MRI, high-density electric source imaging (HD-ESI), SPECT and PET in epilepsy surgery candidates. Clin Neurophysiol 127(1):150-155. doi:10.1016/j.clinph.2015.03.025

  53. Beniczky S, Lantz G, Rosenzweig I, Akeson P, Pedersen B, Pinborg LH, Ziebell M, Jespersen B, Fuglsang-Frederiksen A (2013) Source localization of rhythmic ictal EEG activity: a study of diagnostic accuracy following STARD criteria. Epilepsia 54:1743–1752

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Luton and Dunstable University Hospital NHS Foundation Trust, Luton, UK

    Anjla C. Patel

  2. Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK

    Anjla C. Patel & Rachel C. Thornton

  3. Peterborough and Stamford Hospitals NHS Foundation Trust, Peterborough, UK

    Tejal N. Mitchell

  4. Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK

    Anjla C. Patel, Rachel C. Thornton, Tejal N. Mitchell & Andrew W. Michell

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  1. Anjla C. Patel
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  2. Rachel C. Thornton
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Correspondence to Anjla C. Patel.

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Patel, A.C., Thornton, R.C., Mitchell, T.N. et al. Advances in EEG: home video telemetry, high frequency oscillations and electrical source imaging. J Neurol 263, 2139–2144 (2016). https://doi.org/10.1007/s00415-016-8159-3

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  • DOI: https://doi.org/10.1007/s00415-016-8159-3

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