Published in British journal of anaesthesia, 2023
In this conference abstract, we showed that propofol increases heart rate in absence of other drugs.
Recommended citation: Fabus MS, Jamie W, Warnaby CE. Propofol effects on the heart rate and electrocardiogram in humans. British Journal of Anaesthesia. 2023;131(3):e86-7. http://marcofabus.github.io/files/Bja-ecg-abstract.pdf
Published in Anaesthesia , 2022
This conference abstract showed that concentration needed to reach slow-wave saturation in a particular brain region is proportional to local GABA-A receptor density.
Recommended citation: Fabus MS, Woolrich MW, Warnaby CE. Regional anaesthetic brain susceptibility to propofol is linked with local GABA (A) receptor density. Anaesthesia. 2022;77(S4). http://marcofabus.github.io/files/Aagbi-susceptibility-abstract.pdf
Published in IEEE Open Journal of Signal Processing, 2022
This paper outlined a rigorous framework for understanding harmonic structures in time-series data and showed applications from ocean waves and neurophysiology.
Recommended citation: Fabus MS, Woolrich MW, Warnaby CW, Quinn AJ. Understanding harmonic structures through instantaneous frequency. IEEE Open Journal of Signal Processing. 2022;3:320-34. http://marcofabus.github.io/files/Ojsp-harmonics.pdf
Published in Anesthesiology, 2022
In this review paper, we examined the use of complexity metrics in anaesthesia.
Recommended citation: Li D, Fabus MS, Sleigh JW. Brain complexities and anesthesia: Their meaning and measurement. Anesthesiology. 2022;137(3):290-302. http://marcofabus.github.io/files/Anesthesiology-complexity-toolbox.pdf
Published in Journal of Neurophysiology, 2022
In this paper, we described a novel data-driven method to decompose time-series oscillations into spectral modes.
Recommended citation: Fabus MS, Quinn AJ, Warnaby CE, Woolrich MW. Automatic decomposition of electrophysiological data into distinct nonsinusoidal oscillatory modes. Journal of Neurophysiology. 2021;126(5):1670-84. http://marcofabus.github.io/files/Jneurophysiol-itemd.pdf
Published in British journal of anaesthesia, 2022
This conference abstract introduced the idea of brainwave viscosity, a measure derived from EEG travelling waves.
Recommended citation: Fabus MS, Woolrich MW, Warnaby CE. Brainwave viscosity in propofol anaesthesia. British journal of anaesthesia. 2022;128(2):e61-2. http://marcofabus.github.io/files/Bja-viscosity-abstract.pdf
Published in CBETA Technical Notes, 2022
This technical note summarised modelling work on a CBETA accelerator magnet, focusing on hysteresis.
Recommended citation: Fabus MS, Peggs S. Hysteresis and degaussing of H1 dipole magnets. CBETA/045 Technical Note. Brookhaven National Laboratory http://marcofabus.github.io/files/Cbeta-technote.pdf
Published in General Reanimatology, 2021
This paper examined spectral EEG changes during anaesthetic burst-suppression.
Recommended citation: Sobolova G, Fabus MS, Fischer M, Drobny M, Drobna-Saniova B. Instantaneous EEG signal analysis based on empirical mode decomposition applied to burst-suppression in propofol anaesthesia. General Reanimatology. 2021;17(5). http://marcofabus.github.io/files/Genreanim-bs.pdf
Published in Anesthesia&Analgesia, 2021
This conference abstract applied iterated EMD to detect distict wave types in propofol anaesthesia.
Recommended citation: Fabus MS, Quinn A, Woolrich M, Warnaby K. Three distinct low-frequency (< 4Hz) traveling wave types in volunteer propofol anaesthesia revealed by empirical mode decomposition. Anesthesia & Analgesia. 2021;132(5S). http://marcofabus.github.io/files/AnesthAnalg-wave-types.pdf