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Multi-modal ICA Exemplified on Simultaneously Measured MEG and EEG Data [chapter]

Heriberto Zavala-Fernandez, Tilmann H. Sander, Martin Burghoff, Reinhold Orglmeister, Lutz Trahms
Independent Component Analysis and Signal Separation  
(PKZ: A0421558) and the Berlin Neuroimaging Centre (BMBF 01GO 0208 BNIC).  ...  To search for the common physiological basis we propose to apply ICA to simultaneously measured MEG and EEG data (Multi-Modal ICA).  ...  Single modality demixing is defined as setting either or in (2) to zero and then applying (1) Applying Multi-Modal ICA to simultaneously measured MEG and EEG data, four characteristic sources were  ... 
doi:10.1007/978-3-540-74494-8_84 dblp:conf/ica/Zavala-FernandezSBOT07 fatcat:qjyf7fq7drd3zc5onoksqptga4

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data

Sven Dahne, Felix Bieszmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Muller
2015 Proceedings of the IEEE  
All disciplines have developed their respective sets of analytic tools to fuse the information that is available in all measured modalities.  ...  In this paper we provide a review of classical as well as recent machine learning methods (specifically factor models) for fusing information from functional neuroimaging techniques such as LFP, EEG, MEG  ...  In the context of fMRI, spatial ICA is the more popular version, while in the context of EEG and MEG, temporal ICA is used.  ... 
doi:10.1109/jproc.2015.2425807 fatcat:q35q6gqbtjgypdkb35odjufdvu

The relationship between MEG and fMRI

Emma L. Hall, Siân E. Robson, Peter G. Morris, Matthew J. Brookes
2014 NeuroImage  
In recent years functional neuroimaging techniques such as fMRI, MEG, EEG and PET have provided researchers with a wealth of information on human brain function.  ...  However, the full potential of multi-modal approaches can only be truly realised in cases where the relationship between metrics is known.  ...  We also acknowledge the Medical Research Council, the University of Nottingham and the Dr Hadwen Trust for funding.  ... 
doi:10.1016/j.neuroimage.2013.11.005 pmid:24239589 fatcat:tadkmvutivcyza5oeahrfnnzcm

MNE software for processing MEG and EEG data

Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S. Hämäläinen
2014 NeuroImage  
Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals originating from neural currents in the brain.  ...  MNE, whose name stems from its capability to compute corticallyconstrained minimum-norm current estimates from M/EEG data, is a software package that provides comprehensive analysis tools and workflows  ...  Acknowledgments This work was supported by National Institute of Biomedical Imaging and Bioengineering grants 5R01EB009048 and P41RR014075, National Institute on Deafness and Other Communication Disorders  ... 
doi:10.1016/j.neuroimage.2013.10.027 pmid:24161808 pmcid:PMC3930851 fatcat:ml3wu4vhu5ajjbmcr3te4vlgla

Tensor Analysis and Fusion of Multimodal Brain Images

Esin Karahan, Pedro A. Rojas-Lopez, Maria L. Bringas-Vega, Pedro A. Valdes-Hernandez, Pedro A. Valdes-Sosa
2015 Proceedings of the IEEE  
Current high-throughput data acquisition technologies probe dynamical systems with different imaging modalities, generating massive data sets at different spatial and temporal resolutions posing challenging  ...  A case in point is the attempt to parse out the brain structures and networks that underpin human cognitive processes by analysis of different neuroimaging modalities (functional MRI, EEG, NIRS etc.).  ...  Lin for providing the fMRI data used in the section on connectivity, T. Demiralp for providing the EEG/fMRI data used in the section on CMTF, J.  ... 
doi:10.1109/jproc.2015.2455028 fatcat:27wlgypy6fandjid5boa7dwxqm

Systems Neuroengineering: Understanding and Interacting with the Brain

Bradley J. Edelman, Nessa Johnson, Abbas Sohrabpour, Shanbao Tong, Nitish Thakor, Bin He
2015 Engineering  
parameters in order to alter neural function via a neuromodulation modality.  ...  Feedback-based neuro-devices require the ability to sense neural activity (via a neuroimaging modality) through a neural interface (invasive or noninvasive) and ultimately to select a set of stimulation  ...  , CBET-1264782, and DGE-1069104), to Bin He.  ... 
doi:10.15302/j-eng-2015078 fatcat:rcu5b7qkpzehnhdnjegpxaucjy

Cortical Oscillatory Hierarchy for Natural Sentence Processing

Bin Zhao, Jianwu Dang, Gaoyan Zhang, Masashi Unoki
2020 Interspeech 2020  
For clarification, this study conducted an oral reading task with natural sentences and collected simultaneously the involved brain waves, eye movements, and speech signals with high-density EEG and eye  ...  Differing from a single function-frequencycorrespondence, the coexistence of multi-frequency oscillations was found to be critical for local regions to communicate remotely and diversely in a larger network  ...  This study aims to address these issues in the following steps: (i) Adopt a sentence oral reading task and use a multi-modal data acquisition system to record the brain waves, eye movements, and speech  ... 
doi:10.21437/interspeech.2020-1633 dblp:conf/interspeech/ZhaoDZU20 fatcat:bdszo5riorhnnjefjefci3mwmq

It's only in your head: Expectancy of aversive auditory stimulation modulates stimulus-induced auditory cortical alpha desynchronization

Thomas Hartmann, Winfried Schlee, Nathan Weisz
2012 NeuroImage  
Acknowledgements The authors wish to thank Christiane Wolf for her help in acquiring the data. This work was supported by the DFG (grant number WE 4156/2-1).  ...  EEG data were preprocessed and analyzed using fieldtrip , an open-source Matlab Toolbox for analyzing EEG and MEG data.  ...  Furthermore as we have already explained, the MEG and the EEG measure different properties.  ... 
doi:10.1016/j.neuroimage.2011.12.034 pmid:22209810 fatcat:m7tkguza6rhxfeksqmhjoizy64

On Independent Component Analysis for Multimedia Signals [chapter]

Thomas Kolenda, Jan Larsen, Lars Kai Hansen
2000 Multimedia Image and Video Processing  
Finally, we provide a detailed presentation of our own recent work on modeling combined text/image data for the purpose of cross-media retrieval.  ...  to text, images/video, audio and combinations of such data.  ...  Multimodal Brain Data ICA is an effective technique for removing artifacts and separating sources of multimodal brain signals such as electroencephalographic (EEG) and magnetoencephalographic (MEG) with  ... 
doi:10.1201/9781420037562.ch7 fatcat:weavyd2fj5hixj4zl65jatzqdy

Concealed, Unobtrusive Ear-Centered EEG Acquisition: cEEGrids for Transparent EEG

Martin G. Bleichner, Stefan Debener
2017 Frontiers in Human Neuroscience  
Transparent EEG aims for motion tolerant, highly portable, unobtrusive, and near invisible data acquisition with minimum disturbance of a user's daily activities.  ...  Traditionally, EEG signals are recorded by positioning electrodes on the scalp and keeping them in place with glue, rubber bands, or elastic caps.  ...  ACKNOWLEDGMENTS We would like to acknowledge contributions from Reiner Emkes, Maarten De Vos and Twente Medical Systems International BV, Oldenzaal, The Netherlands.  ... 
doi:10.3389/fnhum.2017.00163 pmid:28439233 pmcid:PMC5383730 fatcat:76ykuhygdnaelgarc4i3yq4mei

Mobile EEG in Research on Neurodevelopmental Disorders: Opportunities and Challenges

Alex Lau-Zhu, Michael P.H. Lau, Gráinne McLoughlin
2019 Developmental Cognitive Neuroscience  
Mobile EEG leverages state-of-the-art hardware alongside established advantages of traditional EEG and recent advances in signal processing.  ...  As these developments have yet to be exploited by neurodevelopmentalists, we then identify three research opportunities: 1) increase in the ease and flexibility of brain data acquisition in neurodevelopmental  ...  The advent of routine multi-modal data acquisition -including the incorporation of motion sensors using inertia measurement unit (IMU) acquisition alongside mobile EEG -would further contribute to the  ... 
doi:10.1016/j.dcn.2019.100635 pmid:30877927 pmcid:PMC6534774 fatcat:b3wkjrk3bffyjm3ngjvfhfp3sq

Deep Learning in fNIRS: A review [article]

Condell Eastmond, Aseem Subedi, Suvranu De, Xavier Intes
2022 arXiv   pre-print
It is notable that outcomes of functional Near-InfraRed Spectroscopy (fNIRS) studies depend heavily on the data processing pipeline and classification model employed.  ...  Recently, Deep Learning (DL) methodologies have demonstrated fast and accurate performances in data processing and classification tasks across many biomedical fields.  ...  Acknowledgment We thank the funding provided by NIH/National Institute of Biomedical Imaging and Bioengineering grants 2R01EB005807, 5R01EB010037, 1R01EB009362, 1R01EB014305, and R01EB019443, the Medical  ... 
arXiv:2201.13371v2 fatcat:ygkcoggbbfdozm6v4bc7lhbymm

A Tutorial on Graph Theory for Brain Signal Analysis [article]

Nikolaos Laskaris, Dimitrios A. Adamos, Anastasios Bezerianos
2020 arXiv   pre-print
It is based on analyzing a multi-trial dataset containing single-trial responses from a visual ERP paradigm.  ...  In the first part, we commence by introducing some basic elements from graph theory and stemming algorithmic tools, which can be employed for data-analytic purposes.  ...  A similar trend is noticed for faster modalities, like EEG/MEG, where multisite recordings are exploited to track the networked brain on a millisecond basis [19, 20] .  ... 
arXiv:2007.05800v1 fatcat:kg5dji4zxvaxfgn45uz6b3hhou

The Same Ultra-Rapid Parallel Brain Dynamics Underpin the Production and Perception of Speech

Amie Fairs, Amandine Michelas, Sophie Dufour, Kristof Strijkers
2021 Cerebral Cortex Communications  
Results revealed that both word components manifested simultaneously as early as 75 ms after stimulus onset in production and perception; differences between the language modalities only became apparent  ...  These word assemblies ignite early on in parallel and only later on reverberate in a behavior-specific manner.  ...  below: EEG data by modality).  ... 
doi:10.1093/texcom/tgab040 fatcat:6o64tpii7ndw3ew3xg4uanuv7u

A cinematographic hypothesis of cortical dynamics in perception

Walter J. Freeman
2006 International Journal of Psychophysiology  
The impact of a CS on a sensory neocortex reorganized background EEG into two types of sequential patterns of coordinated activity, initially local and modality-specific, later global.  ...  The impact of a CS on a sensory neocortex reorganized background EEG into two types of sequential patterns of coordinated activity, initially local and modality-specific, later global.  ...  techniques of PCA and ICA commonly used to isolate local EEG signals.  ... 
doi:10.1016/j.ijpsycho.2005.12.009 pmid:16513196 fatcat:vij4cf7fo5dqxnzhmqq3emucdq
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