EEG/fMRI fusion based on independent component analysis: integration of data-driven and model-driven methods.

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Journal of Integrative Neuroscience

• Publication date

  2012-09-30

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1142/S0219635212500203PMID 22985350
• 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.

• Understanding DCM: Ten simple rules for the clinician

  2013cited by this paper
• A personalized history of EEG-fMRI integration

  2012cited by this paper
• Methods for Simultaneous EEG-fMRI: An Introductory Review

  2012cited by this paper
• A selective review of simulated driving studies: Combining naturalistic and hybrid paradigms, analysis approaches, and future directions

  2012cited by this paper
• A dynamic causal model for evoked and induced responses

  2012cited by this paper
• Associable representations as field of influence for dynamic cognitive processes.

  2011cited by this paper
• Neuronal dynamics underlying high- and low-frequency EEG oscillations contribute independently to the human BOLD signal.

  2011cited by this paper
• Imaging Epileptic Networks Using Spatial-Temporal EEG-fMRI Fusion

  2011influential reference
• fMRI functional networks for EEG source imaging

  2011influential reference
• Multimodal Functional Network Connectivity: An EEG-fMRI Fusion in Network Space

  2011influential reference
• Incorporating fMRI Functional Networks in EEG Source Imaging: A Bayesian Model Comparison Approach

  2011influential reference
• Linked independent component analysis for multimodal data fusion

  2011cited by this paper
• A Parametric Empirical Bayesian framework for fMRI‐constrained MEG/EEG source reconstruction

  2010cited by this paper
• BOLD correlates of EEG topography reveal rapid resting-state network dynamics

  2010cited by this paper
• Comprar Niedermeyer's Electroencephalography, 6/e (Basic Principles, Clinical Applications, and Related Fields ) | Fernando Lopes Da Silva | 9780781789424 | Lippincott Williams & Wilkins

  2010cited by this paper
• EEG microstate sequences in healthy humans at rest reveal scale-free dynamics

  2010cited by this paper
• A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia

  2010cited by this paper
• Continuous EEG source imaging enhances analysis of EEG-fMRI in focal epilepsy

  2010cited by this paper
• Reliability of cortical activity during natural stimulation.

  2010cited by this paper
• Dynamic causal modeling

  2010cited by this paper
• A parallel framework for simultaneous EEG/fMRI analysis: Methodology and simulation

  2010influential reference
• Independent component analysis reveals dynamic ictal BOLD responses in EEG-fMRI data from focal epilepsy patients

  2010cited by this paper
• From EEG to BOLD: Brain mapping and estimating transfer functions in simultaneous EEG-fMRI acquisitions

  2010cited by this paper
• Bayesian spatiotemporal model of fMRI data using transfer functions

  2010cited by this paper
• Large-scale neural dynamics: Simple and complex

  2010cited by this paper
• Brain oscillations: ideal scenery to understand the neurovascular coupling.

  2010cited by this paper
• The combination of EEG Source Imaging and EEG‐correlated functional MRI to map epileptic networks

  2010cited by this paper
• Bayesian spatiotemporal model of fMRI data

  2010cited by this paper
• Focal epileptiform spikes do not show a canonical BOLD response in patients with benign rolandic epilepsy (BECTS)

  2010cited by this paper
• Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks

  2010cited by this paper
• A comparative study of different references for EEG default mode network: the use of the infinity reference.

  2010cited by this paper
• Imaging foci of epileptic discharges from simultaneous EEG and fMRI using the canonical HRF.

  2010influential reference
• EEG–fMRI Information Fusion: Biophysics and Data Analysis

  2009influential reference
• Combination of EEG-fMRI and EEG source analysis improves interpretation of spike-associated activation networks in paediatric pharmacoresistant focal epilepsies

  2009influential reference
• Modalities, Modes, and Models in Functional Neuroimaging

  2009cited by this paper
• A unified Bayesian framework for MEG/EEG source imaging

  2009cited by this paper
• Non-extensive entropy and the extraction of BOLD spatial information in event-related functional MRI

  2009cited by this paper
• Functional Magnetic Resonance Imaging (fMRI), with Blood Oxygen Level Dependent

  2009cited by this paper
• Mining EEG-fMRI using independent component analysis.

  2009cited by this paper
• Mapping the bilateral visual integration by EEG and fMRI

  2009cited by this paper
• Single-Trial Analysis of Neuroimaging Data: Inferring Neural Networks Underlying Perceptual Decision-Making in the Human Brain

  2009cited by this paper
• Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization

  2009cited by this paper
• Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls

  2009cited by this paper
• Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task

  2009influential reference
• Complex brain networks: graph theoretical analysis of structural and functional systems

  2009cited by this paper
• Large-scale brain networks account for sustained and transient activity during target detection

  2009cited by this paper
• Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically‐mapped stimulus locations

  2009cited by this paper
• Choice of multivariate autoregressive model order affecting real network functional connectivity estimate.

  2009cited by this paper
• Decoupling of the brain's default mode network during deep sleep

  2009cited by this paper
• Gaussian source model based iterative algorithm for EEG source imaging

  2009cited by this paper
• A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data

  2009cited by this paper
• Functional Brain Networks in Schizophrenia: A Review

  2009cited by this paper
• EEG source imaging with spatio‐temporal tomographic nonnegative independent component analysis

  2009influential reference
• Selecting forward models for MEG source-reconstruction using model-evidence

  2009cited by this paper
• Noninvasive dynamic imaging of seizures in epileptic patients

  2009cited by this paper
• Automatic fMRI‐guided MEG multidipole localization for visual responses

  2009cited by this paper
• 1 Dynamic Causal Modelling of Evoked Responses in EEG / MEG with lead-field parameterization

  2009cited by this paper
• A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework

  2009cited by this paper
• Changes in the interaction of resting‐state neural networks from adolescence to adulthood

  2009cited by this paper
• An Empirical Bayesian Framework for Brain–Computer Interfaces

  2009cited by this paper
• Model driven EEG/fMRI fusion of brain oscillations

  2009influential reference
• Frontal theta EEG activity correlates negatively with the default mode network in resting state.

  2008cited by this paper
• A mouse model for studying large-scale neuronal networks using EEG mapping techniques

  2008cited by this paper
• Joint independent component analysis for simultaneous EEG-fMRI: principle and simulation.

  2008cited by this paper
• Epileptic networks studied with EEG‐fMRI

  2008cited by this paper
• Unmixing concurrent EEG-fMRI with parallel independent component analysis.

  2008influential reference
• Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging

  2008cited by this paper
• EEG default mode network in the human brain: Spectral regional field powers

  2008cited by this paper
• The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

  2008cited by this paper
• Multiple sparse priors for the M/EEG inverse problem

  2008influential reference
• A method for functional network connectivity among spatially independent resting-state components in schizophrenia

  2008cited by this paper
• What we can do and what we cannot do with fMRI

  2008influential reference
• Prediction of human errors by maladaptive changes in event-related brain networks

  2008influential reference
• Electromagnetic source reconstruction for group studies

  2008cited by this paper
• Inhibition and brain work.

  2007cited by this paper
• The hemodynamic response of the alpha rhythm: An EEG/fMRI study

  2007cited by this paper
• Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework

  2007influential reference
• Evoked brain responses are generated by feedback loops

  2007cited by this paper
• Canonical Source Reconstruction for MEG

  2007cited by this paper
• Diffusion-based spatial priors for imaging

  2007cited by this paper
• Dynamic causal modelling of evoked responses: The role of intrinsic connections

  2007cited by this paper
• Electrophysiological signatures of resting state networks in the human brain

  2007influential reference
• Consistent resting-state networks across healthy subjects

  2006cited by this paper
• Bayesian estimation of evoked and induced responses

  2006cited by this paper
• fMRI models of dendritic and astrocytic networks.

  2006cited by this paper
• Single-trial EEG-fMRI reveals the dynamics of cognitive function.

  2006influential reference
• Reading vascular changes in brain imaging: is dendritic calcium the key?

  2005cited by this paper
• Unified segmentation

  2005cited by this paper
• Trial-by-Trial Coupling of Concurrent Electroencephalogram and Functional Magnetic Resonance Imaging Identifies the Dynamics of Performance Monitoring

  2005influential reference
• Fusing EEG and fMRI based on a bottom-up model: inferring activation and effective connectivity in neural masses

  2005cited by this paper
• Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI.

  2005cited by this paper
• Neuronal Chronometry of Target Detection: Fusion of Hemodynamic and Event-Related Potential Data

  2005influential reference
• Intracranial EEG Substrates of Scalp EEG Interictal Spikes

  2005cited by this paper
• EEG source analysis and fMRI reveal two electrical sources in the fronto-parietal operculum during subepidermal finger stimulation

  2005cited by this paper
• An empirical Bayesian solution to the source reconstruction problem in EEG

  2005cited by this paper
• On the Relationship of Synaptic Activity to Macroscopic Measurements: Does Co-Registration of EEG with fMRI Make Sense?

  2004cited by this paper
• High-resolution electroencephalogram (EEG) mapping: scalp charge layer

  2004cited by this paper
• Discussion on the choice of separated components in fMRI data analysis by spatial independent component analysis.

  2004cited by this paper
• Intersubject Synchronization of Cortical Activity During Natural Vision

  2004cited by this paper
• Glutamatergic Neurotransmission and Neuronal Glucose Oxidation are Coupled during Intense Neuronal Activation

  2004cited by this paper

• Classification of EEG Signal Using Deep Neural Network Techniques

  2025cites this paper
• Generalized Coupled Matrix Tensor Factorization Method Based on Normalized Mutual Information for Simultaneous EEG-fMRI Data Analysis

  2025cites this paper
• Big data fusion with knowledge graph: a comprehensive overview

  2025cites this paper
• Human activity recognition for analyzing stress behavior based on Bi-LSTM

  2023cites this paper
• Two is better? combining EEG and fMRI for BCI and neurofeedback: a systematic review

  2023cites this paper
• Cross-System Data Integration Based on Rule-Based NLP and Node2Vec

  2023cites this paper
• Coupled support tensor machine classification for multimodal neuroimaging data

  2022cites this paper
• Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI

  2022cites this paper
• The Locus Coeruleus- Norepinephrine System in Stress and Arousal: Unraveling Historical, Current, and Future Perspectives

  2021cites this paper
• Fusion Architectures for Word-Based Audiovisual Speech Recognition

  2020cites this paper
• A Graph-Based Approach for Data Fusion and Segmentation of Multimodal Images

  2020cites this paper
• Snowball ICA: A Model Order Free Independent Component Analysis Strategy for Functional Magnetic Resonance Imaging Data

  2020cites this paper
• Multimodal Co-clustering Analysis of Big Data Based on Matrix and Tensor Decomposition

  2019cites this paper
• A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis

  2019cites this paper
• Bayesian fusion and multimodal DCM for EEG and fMRI

  2019cites this paper
• Multimodal Analytics for Next-Generation Big Data Technologies and Applications

  2019influential citation
• EEG-Informed fMRI: A Review of Data Analysis Methods

  2018cites this paper
• Early brain responses to affective faces: A simultaneous EEG‐fMRI study

  2018cites this paper
• Neuroscience Information Toolbox: An Open Source Toolbox for EEG–fMRI Multimodal Fusion Analysis

  2018cites this paper
• Theta-phase gamma-amplitude coupling as a neurophysiological marker in neuroleptic-naïve schizophrenia.

  2018cites this paper
• Multimodal approaches to functional connectivity in autism spectrum disorders: An integrative perspective

  2018cites this paper
• Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI

  2018cites this paper
• An EEG-fMRI Fusion Analysis Based on Symmetric Techniques Using Dempster Shafer Theory

  2017cites this paper
• A graph-based approach for feature extraction and segmentation of multimodal images

  2017cites this paper
• Visual brain activity patterns classification with simultaneous EEG-fMRI: A multimodal approach

  2017cites this paper
• Single‐trial EEG‐informed fMRI analysis of emotional decision problems in hot executive function

  2017cites this paper
• A Comparative Survey on Simultaneous EEG-fMRI Methodologies

  2017cites this paper
• Microsoft Word-IEEE Camera Ready Revised

  2017cites this paper
• Desynchronization of Theta-Phase Gamma-Amplitude Coupling during a Mental Arithmetic Task in Children with Attention Deficit/Hyperactivity Disorder

  2016cites this paper
• Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

  2015cites this paper
• Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

  2015cites this paper
• Tensor Analysis and Fusion of Multimodal Brain Images This paper presents a general framework for tensor analysis of single-modality model inversion and multimodal data fusion using neuroimaging data as an example.

  2015cites this paper
• Tensor Analysis and Fusion of Multimodal Brain Images

  2015cites this paper
• Incorporating priors for EEG source imaging and connectivity analysis

  2015influential citation
• Neuronal oscillations and functional interactions between resting state networks

  2014cites this paper
• A review of EEG and MEG for brainnetome research

  2013cites this paper
• Extraversion is encoded by scale-free dynamics of default mode network

  2013cites this paper
• Electromagnetic brain imaging based on standardized resting-state networks

  2012cites this paper