| 研究実績の概要 |
Following a successful publication (doi: 10.1038/s41598‐021‐83817‐6), the collaboration between groups inside IIIS continued with the application of CVE analysis in a comparative analysis between young and old subjects based on polysomnography (sleep studies). CVE analysis can distinguish significant differences between the two groups at different EEG frequency bands. These results are not published yet but are part of a manuscript that was recently submitted to the journal SLEEP.
Regarding EEG models based on arrhythmic superposition of pulses, a mathematical framework was developed to provide a solid foundation to the previous empirically derived conjectures (in colaboration with the mathematician Hiroyasu Ando). The new mathematical framework, allow us to claim that our method provides access to a power density in the time domain (PDTD) analysis, which is a radically new paradigm. From this point, novel features can be extracted from EEG (at 5 kHz) which greatly outperform the features extracted from classic spectral analysis (frequency domain) in terms of their correlation with behavioral states. Remarkably, one of these new features corresponds to the first EEG feature specific for wakefulness. Using traditional methods, it is impossible to detect wakefulness with certainty from EEG alone and EMG must be also considered. For this reason, the new feature provided by PDTD is a breakthrough. These results were recently presented in JST-CREST "Opt Bio" / WPI-IIIS Joint Symposium (2022, Sendai) and a manuscript ready for submission will be available soon.
|
