Sentence examples for minimum norm estimates from inspiring English sources

To define the constrain, we can use mathematical restrictions (minimum norm estimates) or anatomical, physiological, and functional prior information.

Unconventional anatomically constrained signed minimum norm estimates of MEG data were most sensitive to the primary experimental manipulation, suggesting that the conventional unsigned unconstrained method is sub-optimal for studying written word processing.

We recorded the resting-state magnetoencephalographic activities of 28 patients with FM and 28 age- and sex-matched controls, and analyzed the source-based functional connectivity between the insula and the DMN at 1 40 Hz by using the minimum norm estimates and imaginary coherence methods.

We analyzed resting-state functional connectivity in two stages: In the first part, the resting-state MEG recording of each participant was analyzed using depth-weighted minimum norm estimates to obtain the distributed and dynamic cortical source model [40], which presented each cortical vertex as a current dipole and included ~15,000 vertices in the forward model.

The correlational strength of the average minimum norm estimates of the different conditions and the symptom severity (shutdown dissociation, PTSD and depression) are presented in Figure  3.

Several regularization functions have been proposed in the EEG community: Hämäläinen and Ilmoniemi in [7] proposed a squared Frobenius norm penalty ( ∥ S ∥ F 2 ), which they named Minimum Norm Estimate (MNE).

Whereas the previous studies were in principle based on localizing single point sources in the brain that can explain the measured magnetic fields, the present study applied a distributed source model, the cortically-based minimum norm estimate, which is well suited to analyze sources in an extensive network of brain areas that are activated more or less simultaneously [70].

MEM was compared with minimum norm estimate, dynamic statistical parametric mapping, and standardized low-resolution electromagnetic tomography.

Activity in the source space was determined by the minimum norm estimate including 197 dipoles located on a sphere [ 21].

Here, we estimate the location of these sources using the neuroanatomically constrained minimum norm estimate (MNE) procedure, based on distributed source modeling rather than equivalent current dipoles (Hämäläinen et al. 1993).

Source-level analysis was performed using signals from all 306 sensors with the L2 minimum norm estimate (MNE) approach (Hamalainen and Sarvas 1989; Ilmoniemi 1993; Hämäläinen and Ilmoniemi 1994).