Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates

By F. Lin, Thomas Witzel, S. Ahlfors, S. Stufflebeam, J. Belliveau, Matti S. Hämäläinen. NeuroImage, 2006

522 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/f8fe1bfaf64faa10a25dd7ac9c291fbc1fc2c7e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Denis-Alexander Engemann
2. Alexandre Gramfort
3. Christian Brodbeck
4. Martin Luessi
5. Lauri Parkkonen
6. Daniel Strohmeier
7. Matti S. Hämäläinen
8. Eric Larson

In Radiology, Nuclear Medicine and Imaging

1. Alexandre Gramfort
2. Denis-Alexander Engemann
3. Martin Luessi
4. Matti S. Hämäläinen

Citations in the corpus

• MNE software for processing MEG and EEG data (2013, methodology): “The current estimates can then be constrained to the cortical mantle while the orientations of the currents can be further restricted to be perpendicular to the local cortical surface (Lin et al., 2006a).”
• Resting-state periodic and aperiodic brain oscillations from birth to preschool years: Aperiodic maturity predicts developmental course (2026, unknown): “…RS activity maps were computed using Minimum Norm Estimates (MNE; (H ¨ am ¨ al ¨ ainen and Ilmoniemi, 1994; Matsuura and Okabe, 1995; Hauk, 2004; Lin, 2006)), with minimum-norm imaging estimating the amplitude of brain sources constrained to the cortex and with the current dipoles…”