ArticleIEEE transactions on bio-medical engineering2006
Estimation of number of independent brain electric sources from the scalp EEGs.
Article in IEEE transactions on bio-medical engineering, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 41 citations in OpenAlex.
- Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition.Neuroinformatics · 2023Article
- Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy.NeuroImage · 2016Article
- Noninvasive imaging of the high frequency brain activity in focal epilepsy patients.IEEE transactions on bio-medical engineering · 2014Article
- A comparative study of information-based source number estimation methods and experimental validations on mechanical systems.Sensors (Basel, Switzerland) · 2014Article
- Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2012Article
- Three-dimensional imaging of complex neural activation in humans from EEG.IEEE transactions on bio-medical engineering · 2009Article
- A hybrid algorithm for solving the EEG inverse problem from spatio-temporal EEG data.Medical & biological engineering & computing · 2008Article
- Multimodal functional neuroimaging: integrating functional MRI and EEG/MEG.IEEE reviews in biomedical engineering · 2008Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In electromagnetic source analysis, many source localization strategies require the number of sources as an input parameter (e.g., spatio-temporal dipole fitting and the multiple signal classification). In the present study, an information criterion method, in which the penalty functions are selected based on the spatio-temporal source model, has been developed to estimate the number of independent dipole sources from electromagnetic measurements such as the electroencephalogram (EEG). Computer simulations were conducted to evaluate the effects of various parameters on the estimation of the source number. A three-concentric-spheres head model was used to approximate the head volume conductor. Three kinds of typical signal sources, i.e., the damped sinusoid sources, sinusoid sources with one frequency band and sinusoid sources with two separated frequency bands, were used to simulate the oscillation characteristics of brain electric sources. The simulation results suggest that the present method can provide a good estimate of the number of independent dipole sources from the EEG measurements. In addition, the present simulation results suggest that choosing the optimal penalty function can successfully reduce the effect of noise on the estimation of number of independent sources. The present study suggests that the information criterion method may provide a useful means in estimating the number of independent brain electrical sources from EEG/MEG measurements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.