Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data

Independent component analysis (ICA) has proven useful for modeling brain and electroencephalographic (EEG) data. Here, we present a new, generalized method to better capture the dynamics of brain signals than previous ICA algorithms. We regard EEG sources as eliciting spatio-temporal activity patterns, corresponding to, e.g. trajectories of activation propagating across cortex. This leads to a model of convolutive signal superposition, in contrast with the commonly used instantaneous mixing model. In the frequency-domain, convolutive mixing is equivalent to multiplicative mixing of complex signal sources within distinct spectral bands. We decompose the recorded spectral-domain signals into independent components by a complex infomax ICA algorithm. First results from a visual attention EEG experiment exhibit: (1). sources of spatio-temporal dynamics in the data, (2). links to subject behavior, (3). sources with a limited spectral extent, and (4). a higher degree of independence compared to sources derived by standard ICA.

• Publication year

  2003

• Venue

  Neural Networks

• Publication date

  2003-10-10

• Fields of study

  Biology, Physics, Computer Science, Mathematics, Medicine

• Identifiers
  DOI 10.1016/j.neunet.2003.08.003arXiv q-bio/0310011PMID 14622887PMCID PMC2925861
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Independent Component Analysis

  2005cited by this paper
• Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach

  2003cited by this paper
• Dynamic Brain Sources of Visual Evoked Responses

  2002cited by this paper
• Editors. Advances in Neural Information Processing Systems

  2002cited by this paper
• Advances in Neural Information Processing Systems 14

  2002cited by this paper
• Across-frequency processing in convolutive blind source separation

  2001cited by this paper
• Blind Source Separation via Multinode Sparse Representation

  2001cited by this paper
• Top-down processing mediated by interareal synchronization.

  2000cited by this paper
• Integrated human brain science : theory, method, application (music)

  2000cited by this paper
• Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention

  1999cited by this paper
• Functionally independent components of early event-related potentials in a visual spatial attention task.

  1999cited by this paper
• Moving ICA and Time-Frequency Analysis in Event-Related EEG Studies of Selective Attention December 1999

  1999cited by this paper
• INDEPENDENT COMPONENT ANALYSIS OF SINGLE-TRIAL EVENT-RELATED POTENTIALS

  1999cited by this paper
• BLIND SIGNAL SEPARATION IN COMMUNICATIONS: MAKING USE OF KN OWN SIGNAL DISTRIBUTIONS

  1998cited by this paper
• BLIND SIGNAL SEPARATION IN COMMUNICATIONS : MAKING USE OF KNOWN SIGNAL DISTRIBUTIONS

  1998cited by this paper
• Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses

  1996cited by this paper
• An Information-Maximization Approach to Blind Separation and Blind Deconvolution

  1995influential reference
• A New Learning Algorithm for Blind Signal Separation

  1995cited by this paper
• Independent Component Analysis of Electroencephalographic Data

  1995cited by this paper
• Higher-order spectra analysis : a nonlinear signal processing framework

  1993cited by this paper
• Lapses in alertness: coherence of fluctuations in performance and EEG spectrum.

  1993cited by this paper
• The Analysis of Time Series: An Introduction

  1991cited by this paper
• The Analysis of Time Series: An Introduction

  1990cited by this paper
• Book Review: Electroencephalography: Basic Principles, Clinical Applications and Related Fields, ed 2, edited by Ernst Niedermeyer and Fernando Lopes da Silva. Published in 1987 by Urban & Schwarzenberg, Baltimore, 940 pages, $110.00

  1989cited by this paper
• Electroencephalography. Basic principles, clinical applications and related fields

  1982cited by this paper
• Architectonics of the Cerebral Cortex.

  1979cited by this paper
• Architectonics of the cerebral cortex

  1978cited by this paper
• Fourier Analysis of Time Series: An Introduction

  1977cited by this paper
• Mass action in the nervous system

  1975cited by this paper
• On the electroencephalogram of man.

  1969cited by this paper
• Über das Elektrenkephalogramm des Menschen

  1929cited by this paper

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  2025cites this paper
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  2025cites this paper
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  2025cites this paper
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  2024cites this paper
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  2024cites this paper
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  2023cites this paper
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  2023cites this paper
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  2023cites this paper
• EEG microstates as markers of major depressive disorder and predictors of response to SSRIs therapy.

  2022cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
• Spectral independent component analysis with noise modeling for M/EEG source separation.

  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
• A new convolutive source separation approach for independent/dependent source components

  2020cites this paper
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  2020cites this paper
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  2019cites this paper
• Comparison of Complex-Valued Independent Component Analysis Algorithms for EEG Data

  2019cites this paper
• Study on Communication System From the Perspective of Improving Signal-to-Noise Ratio

  2019cites this paper
• Detecting driver distraction using stimuli-response EEG analysis

  2019cites this paper
• Artifacts That Can Be Misinterpreted as Interictal Discharges.

  2019cites this paper
• LINEARIZED ALTERNATING DIRECTION METHOD OF MULTIPLIERS FOR SEPARABLE CONVEX OPTIMIZATION OF REAL FUNCTIONS IN COMPLEX DOMAIN

  2019cites this paper
• Bound on Peak-to-Average Power Ratio with Moment and Reduction Method

  2019cites this paper
• EEG Preprocessing and Denoising

  2019cites this paper
• Moment-Based Bound on Peak-to-Average Power Ratio and Reduction with Unitary Matrix

  2019cites this paper
• EEG spatiospectral patterns and their link to fMRI BOLD signal via variable hemodynamic response functions.

  2019cites this paper
• Separation of independent/dependent sources using copulas

  2019cites this paper
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  2019cites this paper
• Dimensionality Reduction for Improved Source Separation in FMRI Data

  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2018cites this paper
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  2017cites this paper
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  2017cites this paper
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  2017cites this paper
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  2017cites this paper
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  2017cites this paper
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  2017cites this paper
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  2017cites this paper
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  2016cites this paper
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  2016cites this paper
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  2016cites this paper
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  2016cites this paper
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  2016cites this paper
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  2016cites this paper
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  2015cites this paper
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  2015cites this paper
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  2015cites this paper
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  2015cites this paper
• Machine Recognition in Complex Domain

  2015cites this paper
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  2015cites this paper
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  2015cites this paper
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  2015cites this paper
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  2014cites this paper
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  2014cites this paper
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  2014cites this paper
• Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis

  2014cites this paper
• Optimization and Estimation of Complex-Valued Signals: Theory and applications in filtering and blind source separation

  2014cites this paper
• Decoding underlying brain activities in time and frequency domains through complex independent component analysis of EEG signals

  2014influential citation
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  2013cites this paper
• Frontal theta EEG dynamics in a real-world air traffic control task

  2013cites this paper
• Decoding magnetoencephalographic rhythmic activity using spectrospatial information

  2013influential citation
• Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm

  2013cites this paper
• Probing neural activations from continuous EEG in a real-world task: time-frequency independent component analysis.

  2012cites this paper
• Towards EEG source connectivity analysis

  2012cites this paper
• Independent EEG Sources Are Dipolar

  2012cites this paper
• Separation theorem for independent subspace analysis and its consequences

  2012cites this paper
• ICA Spatiotemporal Filtering Method and Its Application in GPS Deformation Monitoring

  2012cites this paper
• Disentangling early sensory information processing deficits in schizophrenia.

  2012cites this paper
• Signal subspace integration for improved seizure localization

  2012cites this paper
• Group-Structured and Independent Subspace Based Dictionary Learning

  2012cites this paper
• De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data

  2012cites this paper
• A two-stage Independent Component Analysis-based method for blind detection in CDMA systems

  2012cites this paper
• Independent vector analysis based on overlapped cliques of variable width for frequency-domain blind signal separation

  2012cites this paper
• Analysis of complex-valued functional magnetic resonance imaging data: are we just going through a "phase"?

  2012cites this paper
• Electromyogenic artifacts and electroencephalographic inferences revisited

  2011cites this paper
• Electrocortical source imaging of intracranial EEG data in epilepsy

  2011cites this paper
• Application of Independent Component Analysis With Adaptive Density Model to Complex-Valued fMRI Data

  2011cites this paper
• Efficient temporal decomposition of local field potentials

  2011cites this paper
• Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety

  2011cites this paper
• Cyclic maximization of non-Gaussianity for blind signal extraction of complex-valued sources

  2011cites this paper
• A new algorithm based on joint diagonalization by the householder transformation for convolutive blind separation

  2011cites this paper
• Multi-Component Machine Monitoring and Fault Diagnosis Using Bling Source Separation and Advanced Vibration Analysis

  2011cites this paper
• Kurtosis-Based Blind Source Extraction of Complex Non-Circular Signals with Application in EEG Artifact Removal in Real-Time

  2011cites this paper
• A physiologically motivated sparse, compact, smooth (SCS) EEG inverse problem approach

  2011cites this paper
• PCA and ICA processing methods for removal of artifacts and noise in electrocardiograms: A survey and comparison

  2011cites this paper
• Independent Component Analysis Based on Fast Proximal Gradient

  2011cites this paper
• Machine fault diagnosis based on Frequency-Domain Blind Deconvolution

  2011cites this paper