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Analysis of electrocorticographic signal activity characteristics in motor cortex glioma.

Objective To investigate the electrocorticographic signal activity characteristics in glioma located in the motor area. Methods Total 8 patients undergoing awake craniotomy for motor area- involved glioma in West China Hospital, Sichuan University between October 2024 and February 2025 were enrolled...

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Published in:Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 25; no. 7; pp. 602 - 608
Main Authors: ZHAO Wenyu, LIU Yan-hui, MAO Qing, JIANG Ning, HE Jia-yuan, YANG Yuan
Format: diagnostic images research tables/charts Journal Article
Published: Chinese Journal of Contemporary Neurology & Neurosurgery Jul2025
Online Access:View this record in EBSCOhost
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      jtl: Chinese Journal of Contemporary Neurology & Neurosurgery
      issn: 16726731
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      dt: Jul2025
      vid: 25
      iid: 7
      pid: 80951
      pub: Chinese Journal of Contemporary Neurology & Neurosurgery
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        187191394
        187191394
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        10.3969/j.issn.1672-6731.2025.07.006
        187191394
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        atl: Analysis of electrocorticographic signal activity characteristics in motor cortex glioma.
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        au:
          ZHAO Wenyu
          LIU Yan-hui
          MAO Qing
          JIANG Ning
          HE Jia-yuan
          YANG Yuan
        affil: National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
      sug:
        subj:
          Frontal Lobe Pathology
          Glioma Physiopathology
          Disease Attributes
          Electroencephalography
          Signal Processing, Computer Assisted
          Human
          Funding Source
          China
          Comparative Studies
          Descriptive Statistics
          P-Value
          Craniotomy Methods
          Wakefulness
          Magnetic Resonance Imaging
          Data Collection Methods
          Electrodes
          Brain Physiopathology
          Neoplasm Invasiveness
          Cancer Patients
          Brain Neoplasms Diagnosis
          Brain Anatomy and Histology
      ab: Objective To investigate the electrocorticographic signal activity characteristics in glioma located in the motor area. Methods Total 8 patients undergoing awake craniotomy for motor area- involved glioma in West China Hospital, Sichuan University between October 2024 and February 2025 were enrolled. During the awake state, 2 min resting-state electrocorticographic signals were continuously recorded. After preprocessing steps including filtering, signal activity characteristics across θ, α, β, γ1, γ2, γ3, γ4 frequency bands were extracted. Using preoperative MRI data and subdural electrode parameters, individualized brain and electrode models were reconstructed. The spatial relationships between electrodes and tumors during data acquisition were coregistered onto the brain models. Based on the tumor invasion degree into brain tissue beneath the electrodes, the 762 validated electrodes were categorized into 3 groups: normal brain tissue group (n = 460), tumor-invaded cortex group (n = 274) and tumor-non-invaded cortex group (n = 28). Results In the frequency bands of θ (H = 249.993, P = 0.000), α (H = 251.311, P = 0.000), β (H = 288.834, P = 0.000), γ1 (H = 312.145, P = 0.000), γ2 (H = 263.777, P = 0.000), γ3 (H = 238.691, P = 0.000), γ4 (H = 208.830, P = 0.000), the differences in the electrocorticographic signal activity characteristics among the 3 groups were statistically significant. Further pairwise comparisons revealed that the electrocorticographic signal activity characteristics of the normal brain tissue group were higher than those of the tumor-invaded cortex group in the frequency bands of θ (Z = 5.711, P = 0.000), α (Z = 5.823, P = 0.000), β (Z = 6.907, P = 0.000), γ1 (Z = 7.286, P = 0.000), γ2 (Z = 6.054, P = 0.000), γ3 (Z = 5.247, P = 0.000), γ4 (Z = 4.647, P = 0.000), and higher than those of the tumor-non-invaded cortex group in the frequency bands of θ (Z = 4.051, P = 0.000), α (Z = 3.277, P = 0.001), β (Z = 4.172, P = 0.000), γ1 (Z = 5.013, P = 0.000), γ2 (Z = 4.749, P = 0.000), γ3 (Z = 4.264, P = 0.000). The electrocorticographic signal activity characteristics of the tumor-non-invaded cortex group were higher than those of the tumor-invaded cortex group in the frequency bands of θ (Z = - 2.071, P = 0.038), α (Z = - 2.871, P = 0.004), β (Z = - 2.403, P = 0.016). Conclusions This study found that normal brain tissue exhibits higher activity characteristics in electrocorticographic signals compared to glioma tissue. These findings suggest the potential for developing glioma localization techniques based on electrocorticographic signals, which could assist neurosurgeons in achieving more precise glioma resection.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: Chinese
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