Frequency and time-frequency analysis of intraoperative ECoG during awake brain stimulation

Emanuela Formaggio, Silvia F. Storti, Vincenzo Tramontano, Agnese Casarin, Alessandra Bertoldo, Antonio Fiaschi, Andrea Talacchi, Francesco Sala, Gianna Maria Toffolo, Paolo Manganotti

Research output: Contribution to journalArticlepeer-review


Electrocortical stimulation remains the standard for functional brain mapping of eloquent areas to prevent postoperative functional deficits. The aim of this study was to investigate whether the short train technique (monopolar stimulation) and Penfield's technique (bipolar stimulation) would induce different effects on brain oscillatory activity in awake patients, as quantified by electrocorticography (ECoG). The study population was 7 patients undergoing brain tumor surgery. Intraoperative bipolar and monopolar electrical stimulation for cortical mapping was performed during awake surgery. ECoG was recorded using 1×8 electrode strip. Spectral estimation was calculated using a parametric approach based on an autoregressive model. Wavelet-based time frequency analysis was then applied to evaluate the temporal evolution of brain oscillatory activity. Both monopolar and bipolar stimulation produced an increment in delta and a decrease in beta powers for the motor and the sensory channels. These phenomena lasted about 4 s. Comparison between monopolar and bipolar stimulation showed no significant difference in brain activity. Given the importance of quantitative signal analysis for evaluating response accuracy, ECoG recording during electrical stimulation is necessary to characterize the dynamic processes underlying changes in cortical responses in vivo. This study is a preliminary approach to the quantitative analysis of post-stimulation ECoG signals.

Original languageEnglish
JournalFrontiers in Neuroengineering
Issue numberFEB
Publication statusPublished - Feb 6 2013


  • AR model
  • Bipolar
  • ECoG
  • Monopolar
  • Relative wavelet power

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biophysics
  • Neuroscience (miscellaneous)


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