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Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data
Intracranial electroencephalography (IEEG) involves recording from electrodes placed directly onto the cortical surface or deep brain locations. It is performed on patients with medically refractory epilepsy, undergoing pre-surgical seizure localization. IEEG recordings, combined with advancements i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062638/ https://www.ncbi.nlm.nih.gov/pubmed/32194384 http://dx.doi.org/10.3389/fnhum.2020.00044 |
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author | Ammanuel, Simon G. Kleen, Jonathan K. Leonard, Matthew K. Chang, Edward F. |
author_facet | Ammanuel, Simon G. Kleen, Jonathan K. Leonard, Matthew K. Chang, Edward F. |
author_sort | Ammanuel, Simon G. |
collection | PubMed |
description | Intracranial electroencephalography (IEEG) involves recording from electrodes placed directly onto the cortical surface or deep brain locations. It is performed on patients with medically refractory epilepsy, undergoing pre-surgical seizure localization. IEEG recordings, combined with advancements in computational capacity and analysis tools, have accelerated cognitive neuroscience. This Perspective describes a potential pitfall latent in many of these recordings by virtue of the subject population—namely interictal epileptiform discharges (IEDs), which can cause spurious results due to the contamination of normal neurophysiological signals by pathological waveforms related to epilepsy. We first discuss the nature of IED hazards, and why they deserve the attention of neurophysiology researchers. We then describe four general strategies used when handling IEDs (manual identification, automated identification, manual-automated hybrids, and ignoring by leaving them in the data), and discuss their pros, cons, and contextual factors. Finally, we describe current practices of human neurophysiology researchers worldwide based on a cross-sectional literature review and a voluntary survey. We put these results in the context of the listed strategies and make suggestions on improving awareness and clarity of reporting to enrich both data quality and communication in the field. |
format | Online Article Text |
id | pubmed-7062638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70626382020-03-19 Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data Ammanuel, Simon G. Kleen, Jonathan K. Leonard, Matthew K. Chang, Edward F. Front Hum Neurosci Human Neuroscience Intracranial electroencephalography (IEEG) involves recording from electrodes placed directly onto the cortical surface or deep brain locations. It is performed on patients with medically refractory epilepsy, undergoing pre-surgical seizure localization. IEEG recordings, combined with advancements in computational capacity and analysis tools, have accelerated cognitive neuroscience. This Perspective describes a potential pitfall latent in many of these recordings by virtue of the subject population—namely interictal epileptiform discharges (IEDs), which can cause spurious results due to the contamination of normal neurophysiological signals by pathological waveforms related to epilepsy. We first discuss the nature of IED hazards, and why they deserve the attention of neurophysiology researchers. We then describe four general strategies used when handling IEDs (manual identification, automated identification, manual-automated hybrids, and ignoring by leaving them in the data), and discuss their pros, cons, and contextual factors. Finally, we describe current practices of human neurophysiology researchers worldwide based on a cross-sectional literature review and a voluntary survey. We put these results in the context of the listed strategies and make suggestions on improving awareness and clarity of reporting to enrich both data quality and communication in the field. Frontiers Media S.A. 2020-03-03 /pmc/articles/PMC7062638/ /pubmed/32194384 http://dx.doi.org/10.3389/fnhum.2020.00044 Text en Copyright © 2020 Ammanuel, Kleen, Leonard and Chang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Human Neuroscience Ammanuel, Simon G. Kleen, Jonathan K. Leonard, Matthew K. Chang, Edward F. Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data |
title | Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data |
title_full | Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data |
title_fullStr | Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data |
title_full_unstemmed | Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data |
title_short | Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data |
title_sort | interictal epileptiform discharges and the quality of human intracranial neurophysiology data |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062638/ https://www.ncbi.nlm.nih.gov/pubmed/32194384 http://dx.doi.org/10.3389/fnhum.2020.00044 |
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