Cited by 512EEG and Brain-Computer InterfacesDirection-of-Arrival Estimation TechniquesNumerical methods in inverse problems

Visualization of Magnetoencephalographic Data Using Minimum Current Estimates

Uutela, K., Hämäläinen, M., Somersalo, E.·1999·NeuroImage

Abstract

The locations of active brain areas can be estimated from the magnetic field the neural current sources produce. In this work we study a visualization method of magnetoencephalographic data that is based on minimum[symbol: see text] (1)-norm estimates. The method can represent several local or distributed sources and does not need explicit a priori information. We evaluated the performance of the method using simulation studies. In a situation resembling typical magnetoencephalographic measurement, the mean estimated source strength exceeded baseline level up to 2 cm from the simulated point-like source. The method can also visualize several sources, activated simultaneously or in a sequence, which we demonstrated by analyzing magnetic responses associated with sensory stimulation and a picture naming task.

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Crossref · 10.1006/nimg.1999.0454

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26 of 26 references verified0 citation errors · 0 not checkable

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  • L1-norm regularization favors sparse source distribution and assumes that sources follow a Laplace prior distribution in Bayesian inference.

    “L1-norm regularization favors sparse source distribution (57–60); it assumes that the sources follow a Laplace prior distribution in Bayesian inference.”

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Authors
Uutela, K., Hämäläinen, M., & Somersalo, E.
Venue
NeuroImage
Publisher
Elsevier BV
Published
1999-08
Volume
10
Issue
2
Pages
173-180
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2091421749
Cited by
512
References
26
Citations by year
2026: 3 · 2025: 5 · 2024: 10 · 2023: 9 · 2022: 11 · 2021: 10 · 2020: 12 · 2019: 20 · 2018: 17 · 2017: 25 · 2016: 18 · 2015: 15 · 2014: 23 · 2013: 28 · 2012: 28
FWCI
5.93
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Funders
Ministry of Education
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
  • Physical Sciences › Mathematics › Mathematical Physics › Numerical methods in inverse problems
Keywords
magnetoencephalography, source localization, sensory stimulation, picture naming
MeSH terms
Algorithms, Arousal, Attention, Brain, Brain Mapping, Computer Simulation, Data Interpretation, Statistical, Humans, Image Processing, Computer-Assisted, Reference Values, Magnetoencephalography, Linear Models

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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