TY - GEN
T1 - Computing MEG signal sources
AU - Eklund, J. Mikael
AU - Bajcsy, Ruzena
AU - Sprinkle, Jonathan
AU - Simpson, Gregory V.
PY - 2005
Y1 - 2005
N2 - This paper deals with the complexity of the inverse computation of brain currents from Magnetoencephalography (MEG) signals. MEG measures the magnetic field outside the head: in effect, the resultant field from the flow of current inside the brain. We describe our current techniques to perform this inverse computation (called source estimation in much of the literature), which provides a view of brain activity that is less sensitive to disturbances which affect other kinds of brain activity measurements, though much more expensive to record.
AB - This paper deals with the complexity of the inverse computation of brain currents from Magnetoencephalography (MEG) signals. MEG measures the magnetic field outside the head: in effect, the resultant field from the flow of current inside the brain. We describe our current techniques to perform this inverse computation (called source estimation in much of the literature), which provides a view of brain activity that is less sensitive to disturbances which affect other kinds of brain activity measurements, though much more expensive to record.
UR - http://www.scopus.com/inward/record.url?scp=33749046486&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749046486&partnerID=8YFLogxK
U2 - 10.1109/CSBW.2005.42
DO - 10.1109/CSBW.2005.42
M3 - Conference contribution
AN - SCOPUS:33749046486
SN - 0769524427
SN - 9780769524429
T3 - 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
SP - 332
EP - 335
BT - 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
T2 - 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Y2 - 8 August 2005 through 11 August 2005
ER -