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Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma

BACKGROUND: Electrocorticography (ECoG) has been utilized in many epilepsy cases however, the use of this technique for evaluating electrophysiological changes within tumoral zones is spare. Nonetheless, epileptic activities seem to arise from the neocortex surrounding the gliomas suggesting a link...

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Autores principales: Ghinda, Diana Cristina, Lambert, Ben, Lu, Junfeng, Jiang, Ning, Tsai, Eve, Sachs, Adam, Wu, Jin-Song, Northoff, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942167/
https://www.ncbi.nlm.nih.gov/pubmed/33708619
http://dx.doi.org/10.3389/fonc.2020.625474
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author Ghinda, Diana Cristina
Lambert, Ben
Lu, Junfeng
Jiang, Ning
Tsai, Eve
Sachs, Adam
Wu, Jin-Song
Northoff, Georg
author_facet Ghinda, Diana Cristina
Lambert, Ben
Lu, Junfeng
Jiang, Ning
Tsai, Eve
Sachs, Adam
Wu, Jin-Song
Northoff, Georg
author_sort Ghinda, Diana Cristina
collection PubMed
description BACKGROUND: Electrocorticography (ECoG) has been utilized in many epilepsy cases however, the use of this technique for evaluating electrophysiological changes within tumoral zones is spare. Nonetheless, epileptic activities seem to arise from the neocortex surrounding the gliomas suggesting a link between epileptogenesis and glioma cell infiltration in the peritumoral area. The purpose of this study was to implement novel scale-free measures to assess how cortical physiology is altered by the presence of an invasive brain tumor. METHODS: Twelve patients undergoing an awake craniotomy for resection of a supratentorial glioma were included. ECoG data over the main tumor and the exposed surroundings was acquired intra-operatively just prior to tumor resection. Six of the patients presented with seizures and had data acquired both in the awake and anesthetic state. The corresponding anatomical location of each electrode in relation to the macroscopically-detectable tumor was recorded using the neuronavigation system based on structural anatomical images obtained pre-operatively. The electrodes were classified into tumoral, healthy or peritumoral based on the macroscopically detectable tumoral tissue from the pre-operative structural MRI. RESULTS: The electrodes overlying the tumoral tissue revealed higher power law exponent (PLE) values across tumoral area compared to the surrounding tissues. The difference between the awake and anesthetic states was significant in the tumoral and healthy tissue (p < 0.05) but not in the peritumoral tissue. The absence of a significant PLE reduction in the peritumoral tissue from the anesthetic to the awake state could be considered as an index of the presence or absence of infiltration of tumor cells into the peritumoral tissue. CONCLUSIONS: The current study portrays for the first time distinct power law exponent features in the tumoral tissue, which could provide a potential novel electrophysiological marker in the future. The distinct features seen in the peritumoral tissue of gliomas seem to indicate the area where both the onset of epileptiform activity and the tumor infiltration take place.
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spelling pubmed-79421672021-03-10 Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma Ghinda, Diana Cristina Lambert, Ben Lu, Junfeng Jiang, Ning Tsai, Eve Sachs, Adam Wu, Jin-Song Northoff, Georg Front Oncol Oncology BACKGROUND: Electrocorticography (ECoG) has been utilized in many epilepsy cases however, the use of this technique for evaluating electrophysiological changes within tumoral zones is spare. Nonetheless, epileptic activities seem to arise from the neocortex surrounding the gliomas suggesting a link between epileptogenesis and glioma cell infiltration in the peritumoral area. The purpose of this study was to implement novel scale-free measures to assess how cortical physiology is altered by the presence of an invasive brain tumor. METHODS: Twelve patients undergoing an awake craniotomy for resection of a supratentorial glioma were included. ECoG data over the main tumor and the exposed surroundings was acquired intra-operatively just prior to tumor resection. Six of the patients presented with seizures and had data acquired both in the awake and anesthetic state. The corresponding anatomical location of each electrode in relation to the macroscopically-detectable tumor was recorded using the neuronavigation system based on structural anatomical images obtained pre-operatively. The electrodes were classified into tumoral, healthy or peritumoral based on the macroscopically detectable tumoral tissue from the pre-operative structural MRI. RESULTS: The electrodes overlying the tumoral tissue revealed higher power law exponent (PLE) values across tumoral area compared to the surrounding tissues. The difference between the awake and anesthetic states was significant in the tumoral and healthy tissue (p < 0.05) but not in the peritumoral tissue. The absence of a significant PLE reduction in the peritumoral tissue from the anesthetic to the awake state could be considered as an index of the presence or absence of infiltration of tumor cells into the peritumoral tissue. CONCLUSIONS: The current study portrays for the first time distinct power law exponent features in the tumoral tissue, which could provide a potential novel electrophysiological marker in the future. The distinct features seen in the peritumoral tissue of gliomas seem to indicate the area where both the onset of epileptiform activity and the tumor infiltration take place. Frontiers Media S.A. 2021-02-23 /pmc/articles/PMC7942167/ /pubmed/33708619 http://dx.doi.org/10.3389/fonc.2020.625474 Text en Copyright © 2021 Ghinda, Lambert, Lu, Jiang, Tsai, Sachs, Wu and Northoff 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 Oncology
Ghinda, Diana Cristina
Lambert, Ben
Lu, Junfeng
Jiang, Ning
Tsai, Eve
Sachs, Adam
Wu, Jin-Song
Northoff, Georg
Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma
title Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma
title_full Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma
title_fullStr Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma
title_full_unstemmed Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma
title_short Scale-Free Analysis of Intraoperative ECoG During Awake Craniotomy for Glioma
title_sort scale-free analysis of intraoperative ecog during awake craniotomy for glioma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942167/
https://www.ncbi.nlm.nih.gov/pubmed/33708619
http://dx.doi.org/10.3389/fonc.2020.625474
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