Trilinear modeling of event-related potentials.
- Authors
- Wang, K; Begleiter, H; Porjesz, B
- Year
- 2000
- Journal
- Brain topography
- PMID
- 10912734
- DOI
- 10.1023/a:1023455404934
This paper describes a method for estimating a set of spatial components (brain maps) and temporal components (waveforms) of brain potentials. These components play the role of bases of a coordinate system, in the sense that the brain potentials of any subject can be represented as superpositions of these components. The representation is unique given the spatial and temporal components, and this decomposition is particularly appealing for comparing the brain potentials of different subjects (say alcoholics and controls). It can also be used for single trial modeling, clinical classification of patients, and data filtering. The method is based on the topographic component model (TCM, Möcks 1988) which models brain potentials in a trilinear form. We extend the TCM in two aspects. First, the diagonal amplitude matrix is replaced by a general loading matrix based on some neurophysiological considerations. Secondly, the number of spatial components and the number of temporal components can be different. The spatial components and temporal components are obtained respectively by performing singular value decomposition (SVD). This method is illustrated with visual P3 data.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Advances in Electrophysiological Research. | 2015 | 26259089 |
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| Exploratory structural equation modeling for event-related potential data-An all-in-one approach? | Scharf F et al. | — | 2019 | → |
| Advanced Insights into Functional Brain Connectivity by Combining Tensor Decomposition and Partial Directed Coherence. | Pester B et al. | — | 2015 | → |
| Advances in Electrophysiological Research. | Kamarajan C et al. | — | 2015 | → |
| Single trial ERP reading based on parallel factor analysis. | Vanderperren K et al. | — | 2013 | → |
| Shift-invariant multilinear decomposition of neuroimaging data. | Mørup M et al. | — | 2008 | → |
| Heritability of bipolar EEG spectra in a large sib-pair population. | Tang Y et al. | — | 2007 | → |
| Independent component analysis and clustering improve signal-to-noise ratio for statistical analysis of event-related potentials. | Zeman PM et al. | — | 2007 | → |
| Automated single-trial measurement of amplitude and latency of laser-evoked potentials (LEPs) using multiple linear regression. | Mayhew SD et al. | — | 2006 | → |
| Genetics of human brain oscillations. | Begleiter H et al. | — | 2006 | → |
| Trusting in or breaking with convention: towards a renaissance of principal components analysis in electrophysiology. | Kayser J et al. | — | 2005 | → |
| Structure-seeking multilinear methods for the analysis of fMRI data. | Andersen AH et al. | — | 2004 | → |
| The coupled dipole model: an integrated model for multiple MEG/EEG data sets. | Bijma F et al. | — | 2004 | → |
| Variations in GABRA2, encoding the alpha 2 subunit of the GABA(A) receptor, are associated with alcohol dependence and with brain oscillations. | Edenberg HJ et al. | — | 2004 | → |
| Linkage mapping of beta 2 EEG waves via non-parametric regression. | Ghosh S et al. | — | 2003 | → |
| Localization of the event-related potential novelty response as defined by principal components analysis. | Dien J et al. | — | 2003 | → |
| Linkage and linkage disequilibrium mapping of ERP and EEG phenotypes. | Porjesz B et al. | — | 2002 | → |
| Linkage disequilibrium between the beta frequency of the human EEG and a GABAA receptor gene locus. | Porjesz B et al. | — | 2002 | → |
| Warp-averaging event-related potentials. | Wang K et al. | — | 2001 | → |