Magnetoencephalography (MEG) is a non-invasive technique to measure the neuronal activity in the brain. An electromagnetic eld is measured at a very high temporal resolution in many sensors located in a helmet-shaped dewar producing a very large dataset. In this paper spatiotemporal smoothing is applied in order to identify spatial and temporal patterns and to build a gradient estimator helpful in suggesting the locations of the current dipoles in the brain. Results when applying these tools to a MEG experiment are shown.
M. Ventrucci, A. Bowman, C. Ferguson, J. Gross, J.M. Schoffelen (2010). Spatiotemporal smoothing of brain magnetoencephalograpy data. s.l : s.n.
Spatiotemporal smoothing of brain magnetoencephalograpy data
VENTRUCCI, MASSIMO;
2010
Abstract
Magnetoencephalography (MEG) is a non-invasive technique to measure the neuronal activity in the brain. An electromagnetic eld is measured at a very high temporal resolution in many sensors located in a helmet-shaped dewar producing a very large dataset. In this paper spatiotemporal smoothing is applied in order to identify spatial and temporal patterns and to build a gradient estimator helpful in suggesting the locations of the current dipoles in the brain. Results when applying these tools to a MEG experiment are shown.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
