AI Article Synopsis
- The study aims to estimate the area of the brain cortex that affects extracranial EEG signals using coherence analysis between intra- and extracranial EEG channels from patients undergoing epilepsy surgery.
- The results indicate that significant coherent signals from cortical electrodes cover about 150 cm², but the effective area influencing the readings is likely only 31 cm² due to factors like craniotomy and silastic membrane effects.
- Overall, the findings highlight that while the skull averages EEG signals across frequencies, it predominantly weakens higher frequency signals, aiding clinicians in locating brain activity sources linked to specific EEG patterns.*
Article Abstract
Objective: To estimate the area of cortex affecting the extracranial EEG signal.
Methods: The coherence between intra- and extracranial EEG channels were evaluated on at least 10 min of spontaneous, awake data from seven patients admitted for epilepsy surgery work up.
Results: Cortical electrodes showed significant extracranial coherent signals in an area of approximately 150 cm(2) although the field of vision was probably only 31 cm(2) based on spatial averaging of intracranial channels taking into account the influence of the craniotomy and the silastic membrane of intracranial grids. Selecting the best cortical channels, it was possible to increase the coherence values compared to the single intracranial channel with highest coherence. The coherence seemed to increase linearly with an accumulation area up to 31 cm(2), where 50% of the maximal coherence was obtained accumulating from only 2 cm(2) (corresponding to one channel), and 75% when accumulating from 16 cm(2).
Conclusion: The skull is an all frequency spatial averager but dominantly high frequency signal attenuator.
Significance: An empirical assessment of the actual area of cerebral sources generating the extracranial EEG provides better opportunities for clinical electroencephalographers to determine the location of origin of particular patterns in the EEG.
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| http://dx.doi.org/10.1016/j.clinph.2013.02.112 | DOI Listing |
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