challenging the way we interpret eeg data today

1
Challenging the way we interpret EEG data today Members of the Neuronal Mass Dynamics Laboratory discovered last year the existence of temporal unbalances in the total current sources across the membranes of neurons (Riera et al., J Neurophysiol 108: 956-975, 2012), a study that was on the editorial focus of the journal of neurophysiology (Destexhe and Bedard, J Neurophysiol 108: 953–955, 2012). This finding triggered later on a debate about the plausibility and implications of EEG current monopolar sources (Gratiy et al., J Neurophysiol 109:1681-1682, 2013; Bedard and Destexhe, J Neurophysiol 109:1683, 2013; Riera and Cabo, J Neurophysiol 109:1684-1685, 2013). The existence of such monopolar sources in our brain can drastically change the way we interpret EEG data today. The topic is discussed this month in an outstanding (2012 ISI Impact Factor 31.673) scientific journal (Einevoll et al., Nature Review Neuroscience 14, 770-785, 2013). This concept must be revised Jorge Riera Director NMD Lab

Upload: rosine

Post on 22-Feb-2016

23 views

Category:

Documents


2 download

DESCRIPTION

Challenging the way we interpret EEG data today . - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Challenging the  way we interpret EEG data today

Challenging the way we interpret EEG data today

Members of the Neuronal Mass Dynamics Laboratory discovered last year the existence of temporal unbalances in the total current sources across the membranes of neurons (Riera et al., J Neurophysiol 108: 956-975, 2012), a study that was on the editorial focus of the journal of neurophysiology (Destexhe and Bedard, J Neurophysiol 108: 953–955, 2012). This finding triggered later on a debate about the plausibility and implications of EEG current monopolar sources (Gratiy et al., J Neurophysiol 109:1681-1682, 2013; Bedard and Destexhe, J Neurophysiol 109:1683, 2013; Riera and Cabo, J Neurophysiol 109:1684-1685, 2013). The existence of such monopolar sources in our brain can drastically change the way we interpret EEG data today. The topic is discussed this month in an outstanding (2012 ISI Impact Factor 31.673) scientific journal (Einevoll et al., Nature Review Neuroscience 14, 770-785, 2013).

This concept must be revised

Jorge RieraDirectorNMD Lab