Paper Info
Title
A neural mass model of interconnected regions simulates rhythm propagation observed via TMS-EEG.
Abstract
Knowledge of cortical rhythms represents an important aspect of modern neuroscience, to understand how the brain realizes its functions. Recent data suggest that different regions in the brain may exhibit distinct electroencephalogram (EEG) rhythms when perturbed by Transcranial Magnetic Stimulation (TMS) and that these rhythms can change due to the connectivity among regions. In this context, in silico simulations may help the validation of these hypotheses that would be difficult to be verified in vivo. Neural mass models can be very useful to simulate specific aspects of electrical brain activity and, above all, to analyze and identify the overall frequency content of EEG in a cortical region of interest (ROI). In this work we implemented a model of connectivity among cortical regions to fit the impulse responses in three ROIs recorded during a series of TMS/EEG experiments performed in five subjects and using three different impulse intensities. In particular we investigated Brodmann Area (BA) 19 (occipital lobe), BA 7 (parietal lobe) and BA 6 (frontal lobe). Results show that the model can reproduce the natural rhythms of the three regions quite well, acting on a few internal parameters. Moreover, the model can explain most rhythm changes induced by stimulation of another region, and inter-subject variability, by estimating just a few long-range connectivity parameters among ROIs.
Year
DOI
Venue
2011
10.1016/j.neuroimage.2011.05.007
NeuroImage
Keywords
Field
DocType
TMS,ROI,BA,NBS,MNI,TEP,GA
Brodmann area,Neuroscience,Transcranial magnetic stimulation,Psychology,Region of interest,Frontal lobe,Occipital lobe,Rhythm,Electroencephalography,Parietal lobe
Journal
Volume
Issue
ISSN
57
3
1053-8119
Citations 
PageRank 
References 
10
0.56
15
Authors
5
Name
Order
Citations
PageRank
Filippo Cona1585.89
Melissa Zavaglia2796.83
Marcello Massimini36014.56
Mario Rosanova4465.10
M Ursino5494.69