Title
Distinction between added-energy and phase-resetting mechanisms in non-invasively detected somatosensory evoked responses.
Abstract
Non-invasively recorded averaged event-related potentials (ERP) represent a convenient opportunity to investigate human brain perceptive and cognitive processes. Nevertheless, generative ERP mechanisms are still debated. Two previous approaches have been contested in the past: the added-energy model in which the response raises independently from the ongoing background activity, and the phase-reset model, based on stimulus-driven synchronization of oscillatory ongoing activity. Many criteria for the distinction of these two models have been proposed, but there is no definitive methodology to disentangle them, owing also to the limited information at the single trial level. Here, we propose a new approach combining low-noise EEG technology and multivariate decomposition techniques. We present theoretical analyses based on simulated data and identify in high-frequency somatosensory evoked responses an optimal target for the distinction between the two mechanisms.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6609843
EMBC
Keywords
Field
DocType
cognition,bioelectric potentials,multivariate decomposition techniques,erp mechanisms,added-energy mechanism,electroencephalography,human brain cognitive process,added-energy model,high-frequency somatosensory evoked responses,noninvasively detected somatosensory evoked responses,phase-resetting mechanism,stimulus-driven synchronization,human brain perceptive process,phase-reset model,somatosensory phenomena,low-noise eeg technology,noninvasively recorded averaged event-related potentials,synchronisation,signal to noise ratio,synchronization
Synchronization,Neuroscience,Computer science,Somatosensory system,Cognition,Electroencephalography
Conference
Volume
ISSN
Citations 
2013
1557-170X
1
PageRank 
References 
Authors
0.36
1
6
Name
Order
Citations
PageRank
T Fedele110.70
H-J Scheer210.36
Martin Burghoff3162.21
G Waterstraat431.09
Vadim V Nikulin532527.80
Gabriel Curio61220201.67