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1995
DOI: 10.1016/0013-4694(95)00064-6
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Signal-space projections of MEG data characterize both distributed and well-localized neuronal sources

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Cited by 324 publications
(212 citation statements)
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“…Adjacent parts of the cortex either do not contribute to the surface-recorded MEG-signal (crown of the pre-and the postcentral gyrus) or cause a reversed pattern of magnetic fields due to opposite orientation of the cortical layers (posterior bank of the precentral sulcus and the central sulcus). These results taken together with earlier observations on the mu-rhythm (see above) and recent MEG studies on oscillatory activity by MEG [33] suggest that MI is active with internal simulation of movements.…”
Section: Discussionsupporting
confidence: 85%
See 1 more Smart Citation
“…Adjacent parts of the cortex either do not contribute to the surface-recorded MEG-signal (crown of the pre-and the postcentral gyrus) or cause a reversed pattern of magnetic fields due to opposite orientation of the cortical layers (posterior bank of the precentral sulcus and the central sulcus). These results taken together with earlier observations on the mu-rhythm (see above) and recent MEG studies on oscillatory activity by MEG [33] suggest that MI is active with internal simulation of movements.…”
Section: Discussionsupporting
confidence: 85%
“…Oscillatory spontaneous activity of about 10 Hz has recently been detected in multi-channel MEG recordings and located in the rolandic area when subjects internally simulated a karate routine [32,33].…”
Section: Oftmentioning
confidence: 99%
“…For ASSR analysis, the grand-averaged magnetic field signals within the time range from 0.5 to 1 s were used for single equivalent current dipole estimations (43), and the maximal source strength for each condition and hemisphere was calculated by using the source space projection technique (44). For the N1m analysis, the grand-averaged magnetic fields were 30 Hz low-pass filtered and baseline corrected (31,32,45).…”
Section: Methodsmentioning
confidence: 99%
“…Given the relatively small amplitude of even the SSR it is perhaps not surprising that some of the studies have produced different results. In the present study using MEG data from a whole head array we have elected to unite a complex wavelet based time-frequency decomposition with the method of source space projection (SSP), (sometimes called signal space or subspace projection , Ilmoniemi et al, 1987, Tesche et al, 1995, and "Lead Field Synthesis", by Robinson, 1989. The use of these methods produces a significant improvement in signal-to-noise ratio in both amplitude and phase measures.…”
Section: Introductionmentioning
confidence: 99%