Multivariate techniques for modeling single-trial EEG responses
Studying neural responses to environmental stimuli through electroencephalography (EEG), typically requires averaging hundrents or thousands of single-trial responses, and contrasting them at single electrode locations. During my PhD, I used multivariate techniques to model the distribution of single-trial EEG responses across the scalp, and extract topographic EEG responses in a data-driven way. This technique can be used to model data at the single-patient level, to decode decisions from EEG responses, or to test the role of temporal intervals in processing environmental stimuli.
Tzovara et al., 2012, Develop. Neuropsychology, doi: 110.1080/87565641.2011.636851
Tzovara A, Murray MM, Michel CM, De Lucia M. (2012) A tutorial review of electrical neuroimaging from group-average to single-trial event-related potentials. Developmental Neuropsychology. 37(6):518-44.
Tzovara A, Murray MM, Plomp G, Herzog MH, Michel CM, De Lucia M. (2012) Decoding stimulus-related information from single-trial EEG responses based on voltage topographies. Pattern Recognition. 45( 6): 2109–2122.
Tzovara A, Murray MM, Bourdaud N, Chavarriaga R, del R. Millán J, De Lucia M. (2012) The timing of exploratory decision-making revealed by single-trial topographic EEG analyses. Neuroimage. 60(4):1959-69.
De Lucia M, Tzovara A. (2015) Decoding auditory EEG responses in healthy and clinical populations: A comparative study. J Neurosci Methods. 250:106-13.