Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data

By Olaf Hauk. NeuroImage, 2004

327 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4611d51d3ab8e4edcf11917ace98f7cdba05411e

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Citations in the corpus

Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. (2014, methodology): “Distributed source methods (in contrast to focal source models) assume that the source locations are numerous and distributed across a given source volume such as the cortical surface or gray matter (Hauk, 2004).”
A visual M170 effect of morphological complexity (2009, background): “Further, unlike discrete source models, which are most accurate for focal sources, MNEs are also suitable for the representation of distributed sources (Hauk, 2004; Uutela, Hämäläinen, & Somersalo, 1999).”
Recovery of cortical effective connectivity and recovery of consciousness in vegetative patients (2012, unknown): “…the minimum norm estimate tends to result in a blurred picture of cortical activation, the location of the maximum estimated current has been shown to reflect the location of the generator of neural activity with good accuracy (520 mm) (Babiloni et al., 2000; Hauk, 2004; Komssi et al., 2004a).”
The time course of visual word recognition as revealed by linear regression analysis of ERP data (2006, methodology): “We will apply to the data a standard distributed source solution, called minimum norm estimation (Hauk, 2004), in order to estimate the brain areas differentially affected by different word parameters.”
Bayesian Filtering and Smoothing (2013, methodology): “4) are based on reconstruction of the source field in the brain from noisy sensor data by using minimum norm estimates (MNE) and its variants (Hauk, 2004; Tarantola, 2004; Kaipio and Somersalo, 2005; Lin et al., 2006).”
Resting-state periodic and aperiodic brain oscillations from birth to preschool years: Aperiodic maturity predicts developmental course (2026, unknown): “Whole-brain 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…”