Electroencephalography; single-trial; learning and plasticity; Event Related Potential; machine learning methods
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, in DEVELOPMENTAL NEUROPSYCHOLOGY
, 37(6), 518-544.
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, in PATTERN RECOGNITION
, 45(6), 2109-2122.
Tzovara A, Murray MM, Bourdaud N, Chavarriaga R, Millan JD, De Lucia M (2012), The timing of exploratory decision-making revealed by single-trial topographic EEG analyses, in NEUROIMAGE
, 60(4), 1959-1969.
De Lucia M, Tzovara A, Bernasconi F, Spierer L, Murray MM (2012), Auditory perceptual decision-making based on semantic categorization of environmental sounds, in NEUROIMAGE
, 60(3), 1704-1715.
De Lucia M, Constantinescu I, Sterpenich V, Pourtois G, Seeck M, Schwartz S (2011), Decoding Sequence Learning from Single-Trial Intracranial EEG in Humans, in PLOS ONE
, 6(12), e28630.
Bernasconi F, De Lucia M, Tzovara A, Manuel AL, Murray MM, Spierer L (2011), Noise in Brain Activity Engenders Perception and Influences Discrimination Sensitivity, in JOURNAL OF NEUROSCIENCE
, 31(49), 17971-17981.
Cocchi L, Zalesky A, Toepel U, Whitford TJ, De-Lucia M, Murray MM, Carter O (2011), Dynamic Changes in Brain Functional Connectivity during Concurrent Dual-Task Performance, in PLOS ONE
, 6(11), e28301.
Spierer L, De Lucia M, Bernasconi F, Grivel J, Bourquin NMP, Clarke S, Murray MM (2011), Learning-induced plasticity in human audition: Objects, time, and space, in HEARING RESEARCH
, 271(1-2), 88-102.
Cocchi L, Toepel U, De Lucia M, Martuzzi R, Wood SJ, Carter O, Murray MM (2011), Working memory load improves early stages of independent visual processing, in NEUROPSYCHOLOGIA
, 49(1), 92-102.
De Lucia M, Clarke S, Murray MM (2010), A Temporal Hierarchy for Conspecific Vocalization Discrimination in Humans, in JOURNAL OF NEUROSCIENCE
, 30(33), 11210-11221.
De Lucia M, Cocchi L, Martuzzi R, Meuli RA, Clarke S, Murray MM (2010), Perceptual and Semantic Contributions to Repetition Priming of Environmental Sounds, in CEREBRAL CORTEX
, 20(7), 1676-1684.
De Lucia M, Michel CM, Murray MM (2010), Comparing ICA-based and Single-Trial Topographic ERP Analyses, in BRAIN TOPOGRAPHY
, 23(2), 119-127.
De Lucia M, Camen C, Clarke S, Murray MM (2009), The role of actions in auditory object discrimination, in NEUROIMAGE
, 48(2), 475-485.
Murray MM De Lucia M Brunet D Michel C.M. (2009), Principles of Topographic Analyses of Electrical Neuroimaging., in Handy TC (ed.), MIT Press, Cambridge, MA 02142-1315 USA, 21.
Tzovara A. Rossetti A.O. Murray M.M. Spierer L. Grivel J. Oddo M. De Lucia M., Progression of auditory discrimination based on neural decoding predicts awakening from coma., in Brain
Classical analysis and interpretation of electrical responses to external and internal stimuli relies on the assumption that evoked activities are stationary (i.e. stable in time) across several trials. However, several factors can influence the neural activity context where the stimulus arrives and therefore alter the brain response, including effects of learning, plasticity and fatigue. Even when these systemic factors are negligible, the evoked components in the electrical responses to external stimuli can occur at different latencies across trials and with some amplitude variability. All these circumstances have driven an increasing interest in developing new tools of EEG analysis at the level of single trials. These kinds of methods open the way to address a fundamental issue in cognitive neuroscience, which consists in discovering relations between behavioural output (i.e. reaction time, response accuracy) and brain activity measures during the course of an experiment. Indeed, as consequence of plasticity and adaptation, the behavioural output can change in a consistent manner from trial to trial. A typical example of this phenomenon can be observed when two stimuli are presented twice during an experiment, either in their exact physical replica or when they share semantic content. It has been shown across modalities and in human and animal studies that the response to the second stimulus is facilitated, a phenomenon known as priming.Our plan is to further develop a single-trial method that we recently proposed and to exploit this approach for uncovering mechanisms underlying priming. Our novel proposition for tackling single-trial multichannel EEG analysis -based on topographic map analysis and with minimal use of a priori constraints- has shown promising results on auditory stimulation dataset. Establishing robust criteria of application in general experimental conditions represent the next step to be taken.Specifically we propose:-Validating two criteria for choosing the optimal number of maps in the topographic analysis using already collected datasets-Testing model robustness when adding artefacts or noisy trials-Optimizing the model as a function of the number of electrodes in the montage So far, we have demonstrated how the model can be used to assess time periods when specific maps are significantly present and to statistically evaluate differences between experimental conditions. However, several more challenging directions are open to further investigation. Specifically in the context of priming, we plan to follow two research lines: -Assessing interdependencies between map appearance and behavioural responses-Monitoring effects of overall changes in the pattern of electrical responses during the progression of the experiment.This study will be conducted on a set of data currently under collection. The experiment is based on the same set of stimuli of our recent fMRI study on perceptual and semantic priming and therefore directly comparable.The present project plan is expected to have an impact in several domains.In clinical research, this novel approach gives the possibility to statistically evaluate single subject data, an essential tool for analysing patients with specific deficits and impairments and that cannot be considered part of a group. In cognitive neuroscience, it provides a novel tool for understanding behaviour and brain activity interdependencies at both single subject and at group levels. In basic neurophysiology, it provides a new representation of event related potentials and promises to cast light on the mechanisms of its generation.