TY - JOUR
T1 - Differentiation of tumor versus peritumoral cortex in gliomas by intraoperative electrocorticography
AU - Díaz-Fernández, Belén
AU - Henao-Herreno, David
AU - Nieto, Juan
AU - Evstratova, Alesya
AU - Cases-Cunillera, Silvia
AU - Deboeuf, Louise
AU - Roux, Alexandre
AU - Dezamis, Edouard
AU - Zanello, Marc
AU - Mathon, Bertrand
AU - Karachi, Carine
AU - Carpentier, Alexandre
AU - Varlet, Pascale
AU - Pallud, Johan
AU - Capelle, Laurent
AU - Alvarado-Rojas, Catalina
AU - Le Van Quyen, Michel
AU - Huberfeld, Gilles
N1 - Publisher Copyright:
© 2025 The Author(s). Published by Oxford University Press on behalf of the Society for Neuro-Oncology.
PY - 2025/4/24
Y1 - 2025/4/24
N2 - BackgroundBrain diffuse gliomas are highly epileptic and infiltrative tumors. Glioma surgery consists of the resection of the tumor core and the maximum of the peritumoral zone, infiltrated by tumor cells, guided by the intraoperative assessment of brain functionality and connectivity. However, its electrophysiological characteristics are poorly characterized.MethodsWe studied the characteristics of electrocorticographic (ECoG) signals, in the context of glioma surgery in awake conditions on 29 patients, using EEG activity sampled on the tumor itself versus on its borders and in healthy areas. We assessed the features of frequency bands and aperiodic components (offset and slope) of ECoG power spectra during awake glioma surgery, according to cortical tumoral versus peritumoral and healthy status.ResultsWe found that tumor contacts present a decrease in activity for all the frequency bands except for delta activity, which was increased. Second, the peritumoral cortex was characterized by an increase in relative beta activity and slopes between 20 and 40 Hz. Low cortical tumor cell infiltration was directly correlated with a reduction in the production of physiological brain rhythms. Finally, an automatic classifier based on neural networks allowed the classification of the electrodes based on their power spectrum characteristics.ConclusionsThis intraoperative study shows that ECoG during glioma surgery in awake condition may characterize the peritumoral cortices, key for pathophysiology and therapy, and deepens our knowledge of the effects of tumor cell infiltration on nervous tissue activity. Its assessment during the surgical procedure should better delineation of the cortical areas to be removed.
AB - BackgroundBrain diffuse gliomas are highly epileptic and infiltrative tumors. Glioma surgery consists of the resection of the tumor core and the maximum of the peritumoral zone, infiltrated by tumor cells, guided by the intraoperative assessment of brain functionality and connectivity. However, its electrophysiological characteristics are poorly characterized.MethodsWe studied the characteristics of electrocorticographic (ECoG) signals, in the context of glioma surgery in awake conditions on 29 patients, using EEG activity sampled on the tumor itself versus on its borders and in healthy areas. We assessed the features of frequency bands and aperiodic components (offset and slope) of ECoG power spectra during awake glioma surgery, according to cortical tumoral versus peritumoral and healthy status.ResultsWe found that tumor contacts present a decrease in activity for all the frequency bands except for delta activity, which was increased. Second, the peritumoral cortex was characterized by an increase in relative beta activity and slopes between 20 and 40 Hz. Low cortical tumor cell infiltration was directly correlated with a reduction in the production of physiological brain rhythms. Finally, an automatic classifier based on neural networks allowed the classification of the electrodes based on their power spectrum characteristics.ConclusionsThis intraoperative study shows that ECoG during glioma surgery in awake condition may characterize the peritumoral cortices, key for pathophysiology and therapy, and deepens our knowledge of the effects of tumor cell infiltration on nervous tissue activity. Its assessment during the surgical procedure should better delineation of the cortical areas to be removed.
KW - biomarker
KW - electrocorticography
KW - gliomas
KW - power spectrum
KW - tumors
UR - https://www.scopus.com/pages/publications/105015482971
UR - https://www.mendeley.com/catalogue/0f184299-d63a-3bfa-8503-f7eba3791fe5/
U2 - 10.1093/neuonc/noaf082
DO - 10.1093/neuonc/noaf082
M3 - Article
C2 - 40127031
AN - SCOPUS:105015482971
SN - 1522-8517
VL - 27
SP - 1758
EP - 1771
JO - Neuro-Oncology
JF - Neuro-Oncology
IS - 7
ER -