Medicine and Health Sciences Commons^™

Reducing Multi-Sensor Data To A Single Time Course That Reveals Experimental Effects, Aaron Schurger, Sebastien Marti, Stanislas Dehaene

Psychology Faculty Articles and Research

Background: Multi-sensor technologies such as EEG, MEG, and ECoG result in high-dimensional data sets. Given the high temporal resolution of such techniques, scientific questions very often focus on the time-course of an experimental effect. In many studies, researchers focus on a single sensor or the average over a subset of sensors covering a “region of interest” (ROI). However, single-sensor or ROI analyses ignore the fact that the spatial focus of activity is constantly changing, and fail to make full use of the information distributed over the sensor array.

Methods: We describe a technique that exploits the optimality and …

Single-Trial Decoding Of Auditory Novelty Responses Facilitates The Detection Of Residual Consciousness, J. R. King, F. Faugeras, A. Gramfort, Aaron Schurger, I. El Karoui, J. D. Sitt, B. Rohaut, C. Wacongne, E. Labyt, T. Bekinschtein, L. Cohen, L. Naccache, S. Dehaene

Psychology Faculty Articles and Research

Detecting residual consciousness in unresponsive patients is a major clinical concern and a challenge for theoretical neuroscience. To tackle this issue, we recently designed a paradigm that dissociates two electro-encephalographic (EEG) responses to auditory novelty. Whereas a local change in pitch automatically elicits a mismatch negativity (MMN), a change in global sound sequence leads to a late P300b response. The latter component is thought to be present only when subjects consciously perceive the global novelty. Unfortunately, it can be difficult to detect because individual variability is high, especially in clinical recordings. Here, we show that multivariate pattern classifiers can extract …