1) Ictal DC shifts in chronic epilepsy:
By using subdural electrodes, we demonstrated that ictal DC shifts with a time constant of 10 seconds preceded normal ictal patterns, and reported the as a new EEG biomarker for localizing the focus of epilepsy surgery, particularly in intractable neocortical epilepsy, regardless of the pathological tissue of the focus (Ikeda et al., 1996, 1999, 2020; Ikeda, 2008, 2018; Inoue et al., 2019; Kanazawa et al., 2025).
2) Simultaneous recording of ictal DC shifts and ictal HFOs:
As the clinical application of interictal HFOs has been investigated, both ictal DC shifts and ictal HFOs were well demonstrated to be recorded simultaneously. In chronic epilepsy, the former precedes the latter (active DC shifts) (Kanazawa et al., 2015). As a result, both are gradually recognized in clinical practice as reliable EEG biomarkers of epilepsy foci, as evidenced by multicenter collaborative studies (Nakatani et al., 2022). This has also been confirmed in animal experiments (Ikeda et al., 2020).
3) Clinical usefulness of time constants from 10 seconds to 2 seconds:
By comparing ictal DC shifts between display time constants of 10 seconds and 2 seconds by using data with a recording time constant of 10 seconds, the existence of 2 types of ictal DC shifts, i.e., rapid- and slow development DC shifts, were revealed by cluster analysis, and the correspondence with pathological findings was revealed, with the former type accounting for more than 60% (Kajikawa et al., 2022). In addition, wide-band EEG analysis of patients with intractable focal epilepsy with a recording time constant of 2 seconds demonstrated the clinical usefulness of ictal DC shifts (Izumi et al., 2023).
4) Wider application of wide-band digital EEG to scalp EEG and to the wide-spectrum of neurological disorders:
Clinical and social implementation of wide-band EEG in acute brain injury as critical care EEG, migraine, transient focal neurological episodes (TFNEs), a part of dementia disorders, etc. (Togo et al., 2018; Hosokawa et al., 2024; Ikeda et al., 2024; Hayashi et al., 2025). As the next step from the current stage where AI analysis of clinical EEG target the already established EEG signals, it is highly anticipated that new EEG signals, i.e., wide-band EEG data, will be implemented and next-generation EEG will be implemented in the global society.
5) We are now in place to discuss the relationship with cortical spreading depolarization, one of the biggest mysteries in clinical EEG, based on a new EEG perspective including the function of the astrocytes.
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