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Inappropriate assumptions about EEG state changes and their impact on the quantification of EEG state dynamics

Thomas Koenig, Daniel Brandeis
2016 NeuroImage  
Based on the assumptions discussed in more detail below, but still relying only on observations made at GFP peaks, they estimate the duration of the states of this background process to be around 10 msec  ...  Since there is predominantly oscillatory activity in EEG, the signal is small and noisy around the moments of polarity reversal of the EEG field, which complicates the attribution of those EEG spatial  ...  Using these assumptions and taking into account the given observations of momentary state at the GFP maxima, the rate of state transitions and the duration of the states (as defined by the mostly unobserved  ... 
doi:10.1016/j.neuroimage.2015.06.035 pmid:26091853 fatcat:r6ji4ond5bhx7dgnyowukmcfqi

Emotional Activity Is Negatively Associated With Cognitive Load in Multimedia Learning: A Case Study With EEG Signals

Xiang Guo, Tianshui Zhu, Chennan Wu, Zongliang Bao, Yang Liu
2022 Frontiers in Psychology  
One is the frequency domain method (wavelet feature), and the other is the non-linear dynamic method (entropy features).  ...  We then put these features into the Isomap model to obtain a one-dimensional trajectory of emotional changes.  ...  Bandt and Pompe, 2002) is a kind of quantification measure index of complexity.  ... 
doi:10.3389/fpsyg.2022.889427 pmid:35769742 pmcid:PMC9236132 fatcat:i4yqqmjpebb2vpa2ceyoezpynu

Fatigue Monitoring Through Wearables: A State-of-the-Art Review

Neusa R. Adão Martins, Simon Annaheim, Christina M. Spengler, René M. Rossi
2021 Frontiers in Physiology  
Considerably more work is needed to fully explore the potential of wearables for fatigue quantification as well as to better understand the relationship between fatigue and changes in physiological variables  ...  To provide an overview of the current state-of-the-art in monitoring variables associated with fatigue via wearables and to detect potential gaps and pitfalls in current knowledge, a systematic review  ...  ACKNOWLEDGMENTS The authors would like to thank Dr. Daniel Onwude for his valuable comments and suggestions.  ... 
doi:10.3389/fphys.2021.790292 pmid:34975541 pmcid:PMC8715033 fatcat:nzngimgrizeylc47ut4qs4ctdm

Electrophysiological correlates of the BOLD signal for EEG-informed fMRI

Teresa Murta, Marco Leite, David W. Carmichael, Patrícia Figueiredo, Louis Lemieux
2014 Human Brain Mapping  
Our review is focused on EEG-informed fMRI, an asymmetric approach of data integration.  ...  The more specific terms are used to inform the reader about the specific form of icEEG used in each study. r Electrophysiological Correlates of the BOLD Signal r r 395 r r Electrophysiological Correlates  ...  The impact of such effects on fMRI data quality depends on the strength of the magnetic field and the number of electrodes .  ... 
doi:10.1002/hbm.22623 pmid:25277370 pmcid:PMC4280889 fatcat:gxap3bwbmfbwjgn4o3pla3bxoq

Dynamic causal modelling of induced responses

C.C. Chen, S.J. Kiebel, K.J. Friston
2008 NeuroImage  
The Bayesian inversion of this model, given data enables inferences about the parameters of a particular model and allows us to compare different models, or hypotheses.  ...  This paper describes a dynamic causal model (DCM) for induced or spectral responses as measured with the electroencephalogram (EEG) or the magnetoencephalogram (MEG).  ...  Acknowledgments The Wellcome Trust and National Science Council of Taiwan (TMS-094-1-A-037) funded this work. We would also like to thank Dr.  ... 
doi:10.1016/j.neuroimage.2008.03.026 pmid:18485744 fatcat:sd2rnpnl7fb5fachjpiar6rcym

Neonatal brain resting-state functional connectivity imaging modalities

Ali-Reza Mohammadi-Nejad, Mahdi Mahmoudzadeh, Mahlega S. Hassanpour, Fabrice Wallois, Otto Muzik, Christos Papadelis, Anne Hansen, Hamid Soltanian-Zadeh, Juri Gelovani, Mohammadreza Nasiriavanaki
2018 Photoacoustics  
This study was supported by the WSU's Michigan Translational Research and Commercialization (MTRAC) program and Wayne State Startup fund.  ...  Acknowledgements The authors acknowledge Elnaz Alikarami, Ali Hariri, Dr. Sasan Bahrami, and Dr. Armin Iraji for their input.  ...  In neonates and children up to the age of two, the presence of the fontanel makes the assumption of homogenous tissue, inappropriate [158] .  ... 
doi:10.1016/j.pacs.2018.01.003 pmid:29511627 pmcid:PMC5832677 fatcat:e4ywj37zhng6vbfjbbw2cdu7pu

Technical advances in the characterization of the complexity of sleep and sleep disorders

Matt T. Bianchi, Robert J. Thomas
2013 Progress in Neuro-psychopharmacology and Biological Psychiatry  
However, the complexity of sleep physiology has inspired alternative metrics that are providing additional insights into the rich dynamics of sleep.  ...  Electro-encephalography, magneto-encephalography, and functional magnetic resonance imaging represent advanced imaging modalities for understanding brain dynamics.  ...  Respiratory cycle related EEG changes, or RCREC One additional method to describe the effectiveness of sleep is to measure resiratory coupled EEG changes.  ... 
doi:10.1016/j.pnpbp.2012.09.017 pmid:23174482 pmcid:PMC3631575 fatcat:2irt42pudnckdat6xkcury6yyy

A graph theory-based modeling of functional brain connectivity based on EEG: A systematic review in the context of neuroergonomics

Lina Ismail, Waldemar Karwowski
2020 IEEE Access  
The computation of graph theory metrics enables the characterization of the stationary behavior of electroencephalogram (EEG) signals that cannot be explained by simple linear methods.  ...  The main purpose of this study was to systematically review the graph theory applications for mapping the functional connectivity of the EEG data in neuroergonomics.  ...  The superior temporal resolution of EEG helps to capture the rapid and dynamic changes in brain activity. Few studies have considered the flow direction of neural information.  ... 
doi:10.1109/access.2020.3018995 fatcat:cbihabctmzbs3cdt7thxrma7bm

Guidelines for the Recording and Evaluation of Pharmaco-EEG Data in Man: The International Pharmaco-EEG Society (IPEG)

Marc Jobert, Frederick J. Wilson, Gé S.F. Ruigt, Martin Brunovsky, Leslie S. Prichep, Wilhelmus H.I.M. Drinkenburg
2012 Neuropsychobiology  
to investigate the action of drugs on the central nervous system (CNS), determine the pharmacokinetic and pharmacodynamic properties of novel therapeutics and evaluate the CNS penetration or toxicity  ...  Since the publication of the first pharmaco-EEG guidelines in 1982, technical and data processing methods have advanced steadily, thus enhancing data quality and expanding the palette of tools available  ...  and occipito-temporal derivations, F z -C z and O z -T 6 ), it is no-longer state-of-the-art and inappropriate for advanced investigations.  ... 
doi:10.1159/000343478 pmid:23075830 fatcat:biz67lreefddhpz4n2ap5cstke

Technology-based assessment in patients with disorders of consciousness

Carol Di Perri, Lizette Heine, Enrico Amico, Andrea Soddu, Steven Laureys, Athena Demertzi
2014 Annali dell'Istituto Superiore di Sanità  
Consequently, the vegetative state and minimally conscious state have been revised and new nosologies have been proposed, namely the unresponsive wakefulness syndrome, the minimally conscious state plus  ...  A number of studies highlight the difficulty in forming a diagnosis for patients with disorders of consciousness when this is established merely on behavioral assessments.  ...  Belgian interuniversity attraction pole, the Public Utility Foundation "Université Européenne du Travail", "Fondazione Europea di Ricerca Biomedica" and the University and University Hospital of Liège  ... 
pmid:25292268 fatcat:mtplb5kcevh5bbidnk7vbih3am

Review of EEG, ERP, and Brain Connectivity Estimators as Predictive Biomarkers of Social Anxiety Disorder

Abdulhakim Al-Ezzi, Nidal Kamel, Ibrahima Faye, Esther Gunaseli
2020 Frontiers in Psychology  
This study aims to identify SAD neuronal biomarkers and provide insight into the differences in these biomarkers based on EEG, ERPs, VEP, and brain connectivity networks in SAD patients and healthy controls  ...  (fMRI) and magnetoencephalograms (MEG), to realize better effectiveness than EEG alone, in order to ultimately evolve the treatment selection process, and to review the possibility of using electrocortical  ...  EEG-fMRI integration will result in a greater level of temporal resolution and more accurate data on the dynamic processes of the brain.  ... 
doi:10.3389/fpsyg.2020.00730 pmid:32508695 pmcid:PMC7248208 fatcat:orwyq4jibnd4foez4nc6pjzada

The influence of mental fatigue and motivation on neural network dynamics; an EEG coherence study

Monicque M. Lorist, Eniko Bezdan, Michael ten Caat, Mark M. Span, Jos B.T.M. Roerdink, Natasha M. Maurits
2009 Brain Research  
The influence of mental fatigue and motivation on neural network dynamics; an EEG coherence study. Brain Research, 1270, 95-106.  ...  The purpose of the present study is to examine the effects of mental fatigue and motivation on neural network dynamics activated during task switching.  ...  To investigate whether the observed effects of mental fatigue can be related to changes in network dynamics we focused on EEG coherence in the present study.  ... 
doi:10.1016/j.brainres.2009.03.015 pmid:19306850 fatcat:pyjqnukdlnaxtcctccnlojxg5u

19th biennial IPEG Meeting

Igor Timofeev, Leon Kenemans, P. F. Fabene, A. Ahnaou, Sebastian Olbrich, Robert Oostenveld, Martijn Arns, Nash Boutros, Fernando Lopes da Silva, Igor Timofeev, Ole Jensen, Sandra K. Loo (+404 others)
2016 Neuropsychiatric Electrophysiology  
research program SGS (SGS15/229/OHK4/3 T/17), MH CZ -DRO ("National Institute of Mental Health -NIMH) project nr.: 00023752 and PRVOUK34.  ...  LO1611 from the MEYS under the NPU I program, by project "National Institute of Mental Health (NIMH-CZ) (grant number ED2.1.00/03.0078 from the European Regional Development Fund), by Czech Technical University  ...  on resting-state EEG and other measures.  ... 
doi:10.1186/s40810-016-0021-4 fatcat:iynffofbojdx3nspgskpizfwt4

Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review

Haroon Khan, Noman Naseer, Anis Yazidi, Per Kristian Eide, Hafiz Wajahat Hassan, Peyman Mirtaheri
2021 Frontiers in Human Neuroscience  
First, hardware specifications and experimental paradigms should be carefully considered because of their direct impact on the quality of gait assessment.  ...  In this article, we aim to shed light on the recent development in the analysis of human gait using a hybrid EEG-fNIRS-based BCI system.  ...  First, hardware specifications and experimental paradigms should be carefully considered because of their direct impact on the quality of gait assessment.  ... 
doi:10.3389/fnhum.2020.613254 pmid:33568979 pmcid:PMC7868344 fatcat:syxy7hu74fdj7e3azv7etcglya

The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review

Mikhail Ye. Melnikov, Lin Xu
2021 Neural Plasticity  
This article is aimed at showing the current level of evidence for the usage of biofeedback and neurofeedback to treat depression along with a detailed review of the studies in the field and a discussion  ...  The greatest complication preventing certain protocols from reaching higher evidence levels is a relatively high number of uncontrolled studies and an absence of accurate replications arising from the  ...  Acknowledgments The author thanks Prof. Tato Sokhadze for suggesting some sources on the topic and multiple valuable comments and Prof. Mark Shtark for the continuous kind support and mentorship.  ... 
doi:10.1155/2021/8878857 pmid:33613671 pmcid:PMC7878101 fatcat:gxykwyn5kfhbpp7uhncezbrbaa
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