A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, United States
- Department of Psychology, Stanford University, United States
- Department of Bioengineering, Stanford University, United States
Figures
Figure 1
From state-space oscillator model to oscillation component decomposition.
(A) An illustrative example of a multichannel state-space oscillation model: a single oscillation realized as an analytic signal is measured as two different projections having radian phase …
Figure 2
Simulation study.
(A).Four neural sources carrying three oscillations, where the orange time course is a lagged instance of blue time course, red and green time courses are independent. (B) Power spectral density of …
Figure 3
Simulation study (extended).
(A) Four neural sources carrying three oscillations, similar to Figure 2. (B) Power spectral density of the simulated electroencephalogram (EEG) recording and power distribution over the EEG sensors …
Figure 4
Oscillation component analysis (OCA) of the electroencephalogram (EEG) from a healthy volunteer undergoing propofol-induced unconsciousness.
Conditions of target effect-site concentration of (A, D) 0 (i.e., baseline), (B, E) , and (C, F) are analyzed. Panels (A–C) show the power spectral densities (PSDs) of reconstructed EEG …
Figure 5
Oscillation component analysis (OCA) of the electroencephalogram (EEG) from a healthy young volunteer to compare between (A, C) wakeful resting state and (B, D) rapid eye movement (REM) sleep.
Panels (A, B) show the power spectral densities (PSDs) of reconstructed EEG activity within each canonical band. Panels (C, D) show the three dominant (in terms of sensor-wide power) alpha …
Figure 6
Cross–frequency phase–amplitude coupling in oscillation component analysis (OCA) components extracted from resting-state magnetoencephalogram (MEG) recording.
The black traces show the conditional mean of a selected alpha component (8–12 Hz) amplitude given another selected slow/delta component (0–4 Hz) phase. The three slow oscillations and three alpha …
Appendix 4—figure 1
Empirical justification for oscillation component analysis (OCA) in analyzing real data.
A 3.5-s-long electroencephalogram (EEG) recording during propofol-induced anesthesia (effect-site concentration of 2 μg) is considered for this demonstration. (A) Power spectral density using …
Tables
Key resources table
| Reagent type (species) or resource | Designation | Source or reference | Identifiers | Additional information |
|---|---|---|---|---|
| Software, algorithm | MNE-python 1.2 | https://mne.tools/stable/index.html; Gramfort et al., 2014 | ||
| Software, algorithm | Eelbrain 0.37 | https://eelbrain.readthedocs.io/en/stable/; Brodbeck et al., 2023 | ||
| Software, algorithm | purdonlabmeeg | This paper; Das, 2024 | Available at https://github.com/proloyd/purdonlabmeeg |
