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Multi-modal ICA Exemplified on Simultaneously Measured MEG and EEG Data
[chapter]
Independent Component Analysis and Signal Separation
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(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
2015
Proceedings of the IEEE
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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
2014
NeuroImage
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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
2014
NeuroImage
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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
2015
Proceedings of the IEEE
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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
2015
Engineering
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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
2020
Interspeech 2020
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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
2012
NeuroImage
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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]
2000
Multimedia Image and Video Processing
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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
2017
Frontiers in Human Neuroscience
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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
2019
Developmental Cognitive Neuroscience
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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]
2022
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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
2021
Cerebral Cortex Communications
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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
2006
International Journal of Psychophysiology
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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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