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Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis

Jun-ichiro Hirayama, Takeshi Ogawa, Aapo Hyvärinen
2015 Neural Computation  
Here, we propose a unified method for separating EEG/MEG sources and learning their functional connectivity (coactivation) patterns.  ...  However, previous EEG/MEG analyses divided the problem into two consecutive stages: first, the separation of neural sources, and second, the connectivity analysis of the separated sources.  ...  Motoaki Kawanabe and Dr. Okito Yamashita for their helpful comments and discussions and Dr. Takayuki Suyama who provided the opportunity for this research.  ... 
doi:10.1162/neco_a_00747 pmid:25973547 fatcat:u5fqzflerjf53jxkqp3yvcua3u

Unifying blind separation and clustering for resting-state EEG/MEG functional connectivity analysis

Hirayama Jun-ichiro, Ogawa Takeshi, Hyvärinen Aapo
2015 Frontiers in Computational Neuroscience  
Here, we propose a unified method for separating EEG/MEG sources and learning their functional connectivity (coactivation) patterns.  ...  However, previous EEG/MEG analyses divided the problem into two consecutive stages: first, the separation of neural sources, and second, the connectivity analysis of the separated sources.  ...  Motoaki Kawanabe and Dr. Okito Yamashita for their helpful comments and discussions and Dr. Takayuki Suyama who provided the opportunity for this research.  ... 
doi:10.3389/conf.fncom.2015.56.00010 fatcat:2pw3indjtva3rdrfgy65yejbyy

Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activity

Jun-ichiro Hirayama, Takeshi Ogawa, Aapo Hyvarinen
2014 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Here, we propose a method for dynamic connectivity analysis of EEG/MEG, combining blind source separation with dynamic connectivity analysis in a single probabilistic model.  ...  Blind source separation is extremely useful for interpretation of the connectivity changes, and also enables rejection of artifacts.  ...  CONCLUSION We proposed a method combining blind source separation and clustering to analyze the dynamics of functional connectivity in EEG/MEG.  ... 
doi:10.1109/embc.2014.6944730 pmid:25571098 dblp:conf/embc/HirayamaOH14 fatcat:k7y7z7jx6ndi7ds4k4mw4a7lgm

Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data

Nitin J. Williams, Ian Daly, Slawomir J. Nasuto
2018 Frontiers in Computational Neuroscience  
The dynamic nature of functional brain networks is being increasingly recognized in cognitive neuroscience, and methods to analyse such time-varying networks in EEG/MEG data are required.  ...  This work marks the first application of the Markov Model framework to infer time-varying networks from EEG/MEG data.  ...  We would also like to thank Andrew Quinn, Adam Baker, Diego Vidaurre and Giles Colclough from Oxford centre for Human Brain Activity (OHBA) for useful discussions on the project.  ... 
doi:10.3389/fncom.2018.00076 pmid:30297993 pmcid:PMC6160873 fatcat:vmucgugwp5ab3oaj3sogouthjy

Electrophysiological Brain Connectivity: Theory and Implementation

Bin He, Laura Astolfi, Pedro A. Valdes-Sosa, Daniele Marinazzo, Satu Palva, Christian G. Benar, Christoph M. Michel, Thomas Koenig
2019 IEEE Transactions on Biomedical Engineering  
Various connectivity estimators are discussed, and algorithms introduced. Important issues for estimating and mapping brain functional connectivity with electrophysiology are discussed.  ...  We review the theory and algorithms of electrophysiological brain connectivity analysis.  ...  EEG/MEG FUNCTIONAL CONNECTIVITY A.  ... 
doi:10.1109/tbme.2019.2913928 pmid:31071012 pmcid:PMC6834897 fatcat:qqxxwzgbkbh37je7ztfjjkpima

Brain Connectivity Analysis: A Short Survey

E. W. Lang, A. M. Tomé, I. R. Keck, J. M. Górriz-Sáez, C. G. Puntonet
2012 Computational Intelligence and Neuroscience  
Resting state conditions have become a dominant experimental paradigm, and a number of resting state networks, among them the prominent default mode network, have been identified.  ...  Future studies have to bridge the gap between anatomical neuronal connections and related functional or effective connectivities.  ...  Acknowledgments Support by the DAAD-FCT, the BFHZ-CCUFB, and the GENIL-SPR project at CITIC-UGR is gratefully acknowledged.  ... 
doi:10.1155/2012/412512 pmid:23097663 pmcid:PMC3477528 fatcat:zlwqwx6n7feefdrfx5pnhhbmhe

Cerebral Functional Manipulation of Repetitive Transcranial Magnetic Stimulation in Cognitive Impairment Patients After Stroke: An fMRI Study

Yamei Li, Hong Luo, Qian Yu, Longlin Yin, Kuide Li, Yi Li, Jing Fu
2020 Frontiers in Neurology  
Neural activity and functional connectivity (FC) changes were acquired by rs-fMRI with fractional amplitude of low-frequency fluctuation (fALFF) and seed-based correlation analysis.  ...  This study aims to figure out cerebral functional manipulation of rTMS in patients with PSCI through using the resting-state functional magnetic resonance imaging (rs-fMRI).  ...  infrared spectroscopy (NIRS) (20) , electro-and magnetoencephalography (EEG/MEG) (21) , low-resolution electromagnetic tomography (eLORETA) (22) , and finally functional magnetic resonance imaging  ... 
doi:10.3389/fneur.2020.00977 pmid:33013646 pmcid:PMC7506052 fatcat:c2wp22exqjhdnh3esduhrkurxi

TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry

Stefan Frässle, Eduardo A. Aponte, Saskia Bollmann, Kay H. Brodersen, Cao T. Do, Olivia K. Harrison, Samuel J. Harrison, Jakob Heinzle, Sandra Iglesias, Lars Kasper, Ekaterina I. Lomakina, Christoph Mathys (+9 others)
2021 Frontiers in Psychiatry  
While these are yet to be established in clinical practice, individual components of this general end-to-end pipeline are being developed and made openly available for community use.  ...  In order to serve as objective and reliable tools for clinical routine, computational assays require end-to-end pipelines from raw data (input) to clinically useful information (output).  ...  EEG/MEG).  ... 
doi:10.3389/fpsyt.2021.680811 pmid:34149484 pmcid:PMC8206497 fatcat:ichfqltpdbdfflh2ozfk4lduda

Brain oscillation and connectivity during a chemistry visual working memory task

Li-Yu Huang, Hsiao-Ching She, Wen-Chi Chou, Ming-Hua Chuang, Jeng-Ren Duann, Tzyy-Ping Jung
2013 International Journal of Psychophysiology  
This study investigates electroencephalography (EEG) dynamics and connectivity among different brain regions' theta and alpha oscillations.  ...  Study of the central parietal and the occipital clusters revealed a sequence of theta augmentation followed by alpha suppression at constant intervals after the onset of stimulus and probe presentations  ...  Data analysis Independent component analysis (ICA) refers to a family of related algorithms (Bell and Sejnowski, 1995; Lee et al., 1999) that exploit independence to perform blind source separation.  ... 
doi:10.1016/j.ijpsycho.2013.07.001 pmid:23850831 fatcat:rkyl2ofje5c2dhi3zzi656xcxm

Source-level EEG and graph theory reveal widespread functional network alterations in focal epilepsy [article]

Christoffer Hatlestad-Hall, Ricardo Bruna, Marte Roa Syvertsen, Aksel Erichsen, Vebjorn Andersson, Fabrizio Vecchio, Francesca Miraglia, Paolo Maria Rossini, Hanna Renvall, Fernando Maestu, Erik Tauboll, Ira Hebold Haraldsen
2020 medRxiv   pre-print
Methods: We compared twenty-two focal epilepsy patients and sixteen healthy controls on graph metrics derived from functional connectivity (phase-locking value) of source reconstructed resting-state EEG  ...  These findings suggest a possible clinical relevance of functional network analysis in epilepsy.  ...  Functional connectivity (FC) is concerned with the statistical dependence between spatially separated signals obtained from electro-and magnetoencephalography (EEG/MEG) or functional magnetic resonance  ... 
doi:10.1101/2020.12.17.20248426 fatcat:ki765xllgrc2rk52dyoflafr3a

cccccSource-level EEG and graph theory reveal widespread functional network alterations in focal epilepsy

Christoffer Hatlestad-Hall, Ricardo Bruña, Marte Roa Syvertsen, Aksel Erichsen, Vebjørn Andersson, Fabrizio Vecchio, Francesca Miraglia, Paolo M. Rossini, Hanna Renvall, Erik Taubøll, Fernando Maestú, Ira H. Haraldsen
2021 Clinical Neurophysiology  
We compared twenty-two focal epilepsy patients and sixteen healthy controls on graph metrics derived from functional connectivity of source-level resting-state EEG.  ...  These findings might support the position that functional network analysis could hold clinical relevance for epilepsy.  ...  Acknowledgements The authors thank Helle Stangeland for her contributions in the early phases of this project, and Ellen Molteberg for her aid in recruiting patients to the study.  ... 
doi:10.1016/j.clinph.2021.04.008 pmid:34044189 fatcat:mxuuxfcbnfelbfb3yu5ypey7qi

TAPAS: an open-source software package for Translational Neuromodeling and Computational Psychiatry [article]

Stefan Frässle, Eduardo A Aponte, Saskia A Bollmann, Kay H Brodersen, Cao Tri Do, Olivia K Harrison, Samuel J Harrison, Jakob Heinzle, Sandra Iglesias, Lars Kasper, Ekaterina I Lomakina, Christoph Mathys (+9 others)
2021 bioRxiv   pre-print
While these are yet to be established in clinical practice, individual components of this general end-to-end pipeline are being developed and made openly available for community use.  ...  In order to serve as objective and reliable tools for clinical routine, computational assays require end-to-end pipelines from raw data (input) to clinically useful information (output).  ...  EEG/MEG).  ... 
doi:10.1101/2021.03.12.435091 fatcat:b6t53rzjdreqbgtid4kexcuw6q

Altered Resting State Cortico-Striatal Connectivity in Mild to Moderate Stage Parkinson's Disease

Youngbin Kwak, Scott Peltier, Nicolaas I. Bohnen, Martijn L. T. M. Müller, Praveen Dayalu, Rachael D. Seidler
2010 Frontiers in Systems Neuroscience  
We evaluated these effects using resting state functional connectivity MRI in mild to moderate stage Parkinson's patients on and off l-DOPA and age-matched controls using six different striatal seed regions  ...  Our results demonstrate that PD and l-DOPA modulate striatal resting state BOLD signal oscillations and cortico-striatal network coherence.  ...  Wayne Aldridge, Joshua Berke, and Bruno Averbeck for their insightful comments on an earlier draft of the manuscript.  ... 
doi:10.3389/fnsys.2010.00143 pmid:21206528 pmcid:PMC3009475 fatcat:sx4pac3x6rfs3i2jxha7rsxfvm

At the Leading Front of Neuroscience: A Bibliometric Study of the 100 Most-Cited Articles

Andy W. K. Yeung, Tazuko K. Goto, W. Keung Leung
2017 Frontiers in Human Neuroscience  
ACKNOWLEDGMENTS The authors thank Ms Samantha Kar Yan Li for her statistical assistance.  ...  These five brain connectivity papers with high citation counts were reporting functional connectivity when the brain was at resting state; and thus they were highly relevant to each other and interlinked  ...  Besides resting state, sensory studies have also employed connectivity analyses (Yeung et al., 2016) .  ... 
doi:10.3389/fnhum.2017.00363 pmid:28785211 pmcid:PMC5520389 fatcat:4i6ru5avn5f67kfq44yvs6m2vm

Meeting the brain on its own terms

Philipp Haueis
2014 Frontiers in Human Neuroscience  
With the advancement of resting state studies, tractography and graph theory in the last decade, however, it became possible to study human brain connectivity without relying on cognitive tasks or constructs  ...  The paper provides a systematic account of exploratory neuroscientific research that would allow researchers to form new concepts and formulate general principles of brain connectivity, and to combine  ...  The absence of an explicit cognitive task in resting state studies that would drive the data analysis functions like the alignment of axis and magnetic dip in Ampère's astatic needle experiments.  ... 
doi:10.3389/fnhum.2014.00815 pmid:25352801 pmcid:PMC4195271 fatcat:dld4jjxt3fbtlortatymve4k7e
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