The Brain Signals Laboratory evolved out of the EEG Research Laboratory. Initially motivated by novel EEG findings from basic animal research in the Epilepsy Laboratory, the EEG Research Laboratory was established with funding from The Wellcome Trust, UK, in 2003. It is a high-level neurophysiological research unit with a Faraday cage and a 128-channel, high sampling-rate, digital recording system. The initial aim of the research was to determine if patients with neuropsychiatric disorders exhibited disturbances of gamma EEG rhythms (30-100 Hz), with a special focus on epilepsy.
Since its establishment, other studies have been undertaken which have addressed; brain correlates of sensory processing, cognition, meditation and the functional significance of high-frequency brain rhythms. These and other projects are listed below. As a consequence of the diversity of experimentation now undertaken, we have renamed the laboratory. The equipment now includes a 256-channel EEG recording system as well as a 128-channel active (pre-amplified on the scalp) EEG recording system, plus a range of sensors for physiological measures (eg respiration, temperature, GSR).
Fitzgibbon SP, DeLosAngeles D, Lewis TW, Powers DM, Grummett TS, Whitham EM, Ward LM, Willoughby JO, Pope KJ (2016) Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis. Clinical Neurophysiology, 127(3):1781-93
DeLosAngeles D, Williams G, Burston J, Fitzgibbon SP, Lewis TW, Grummett TS,
Clark CR, Pope KJ, Willoughby JO (2016) Electroencephalographic correlates of states of
concentrative meditation. International Journal of Psychophysiology
Grummett TS, Leibbrandt RE, Lewis TW, DeLosAngeles D, Powers DM, Willoughby JO, Pope KJ, Fitzgibbon SP (2015) Measurement of neural signals from inexpensive, wireless and dry EEG systems. Physiological Measurement, 36(7):1469-84
Fitzgibbon SP, DeLosAngeles D, Lewis TW, Powers DM, Whitham EM, Willoughby JO, Pope KJ (2015) Surface Laplacian of scalp electrical signals and independent component analysis resolve EMG contamination of electroencephalogram. International Journal of Psychophysiology, 97(3):277-84
Broberg IM, Pope K, Olsson T, Shuttleworth CW, and Willoughby JO (2014) Spreading depression: Evidence of five electroencephalogram phases. Journal of Neuroscience Research, 92(10):1384-1394
Grummett TS, Fitzgibbon SP, Lewis TW, DeLosAngeles D, Whitham EM, Pope K, Willoughby JO (2014) Constitutive spectral EEG peaks in the gamma range: suppressed by sleep, reduced by mental activity and resistant to sensory stimulation. Frontiers in Human Neuroscience, 8:Article 927
Fitzgibbon SP, Lewis TW, Powers DM, Whitham EW, Willoughby JO, Pope KJ (2013) Surface laplacian of central scalp electrical signals is insensitive to muscle contamination. IEEE Transactions on Biomedical Engineering, 60(1):4-9
Atyabi A, Luerssen M, Fitzgibbon S and Powers D (2012) The use of Evolutionary Algorithm-based methods in EEG based BCI systems. In Girolamo Fornarelli and Luciano Mescia, ed Swarm Intelligence for Electric and Electronic Engineering, Hershey, USA: IGI Global, pp326-344