Nonlinear models have been fitted to MEG data in order to improve understanding of brain activity prior to exposure to a stimulus. Such models can be used to characterise brain activity using only a few parameters in order to study within and between subject variability. This knowledge will help to inform estimation of temporal and spatial locations of brain activation in response to a particular stimulus.
M. Ventrucci, A. Bowman, C. Miller, J. Gross, K. Gosh (2011). A Dipole Model for MEG data. s.l : s.n.
A Dipole Model for MEG data
VENTRUCCI, MASSIMO;
2011
Abstract
Nonlinear models have been fitted to MEG data in order to improve understanding of brain activity prior to exposure to a stimulus. Such models can be used to characterise brain activity using only a few parameters in order to study within and between subject variability. This knowledge will help to inform estimation of temporal and spatial locations of brain activation in response to a particular stimulus.File in questo prodotto:
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