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Improving quantification of functional networks with EEG inverse problem: Evidence from a decoding point of view

Michel Besserve, Jacques Martinerie, Line Garnero
2011 NeuroImage  
With a fast implementation, we computed a support vector machine (SVM) classifier output from these quantities in real-time, without prior on the relevant functional networks.  ...  Decoding experimental conditions from single trial Electroencephalographic (EEG) signals is becoming a major challenge for the study of brain function and real-time applications such as Brain Computer  ...  This work was funded by The french Ministry of National Education, Advanced Instruction, and Research.  ... 
doi:10.1016/j.neuroimage.2011.01.056 pmid:21276859 fatcat:ujhpvawnv5eatj5c6rbwq3zc2q

Towards the utilization of EEG as a brain imaging tool

Christoph M. Michel, Micah M. Murray
2012 NeuroImage  
Because of the increasing interest in the temporal dynamics of brain networks, and because of the straightforward compatibility of the EEG with other brain imaging techniques, EEG is increasingly used  ...  Keywords: EEG ERP Brain mapping Source localization Topography Frequency Induced Evoked Multimodal Brain imaging Recent advances in signal analysis have engendered EEG with the status of a true brain mapping  ...  Acknowledgments The authors receive support from the Swiss National Science Foundation (grants 310030-132952 and 33CM30-124089 to CMM, grants 310030B-133136, K-33K1_122518, and 320030_120579 to MMM as  ... 
doi:10.1016/j.neuroimage.2011.12.039 pmid:22227136 fatcat:qorsjs752bd7dmga4wzikpafvq

A Study of Representational Similarity: The Emergence of Object Concepts in Rapid Serial Visual Presentation Streams [article]

Ivy Xiao Dan Zhou, Tijl Grootswagers, Blake Segula, Amanda Robinson, Sophia Shatek, Christopher Whyte, Thomas Carlson
2019 bioRxiv   pre-print
Contrary to previous research results, this study shows evidence that the structure of time-varying neural representations of object concepts corresponds primarily with the hierarchical structure produce  ...  This thesis concludes that the temporal synchrony between the models coupled with the potential influence from non-hierarchical relations in WordNet suggest the rapid transition from perception to representation  ...  Consistent with the embodied view, evidence from neuroscience demonstrated that much of the conceptual knowledge associated with perception and action was represented and distributed in regions in the  ... 
doi:10.1101/824565 fatcat:fa2uesxhlvcnxlxyd5pfn2ns5i

Contrast of multi‐resolution analysis approach to transhumeral phantom motion decoding

Ejay Nsugbe, Oluwarotimi William Samuel, Mojisola Grace Asogbon, Guanglin Li
2021 CAAI Transactions on Intelligence Technology  
From a research perspective, the WD in certain cases has allowed for a more accurate motion intent decoding process following feature extraction and classification.  ...  The results showed an improvement in motion intent decoding prowess for the proposed time-domain-based signal decomposition across four different classifiers for both the neuromuscular and brain wave signals  ...  ACKNOWLEDGEMENTS The research work was supported in part by the National Natural Science Foundation of China under Grants (#U1613222, #81850410557, #8201101443), the  ... 
doi:10.1049/cit2.12039 fatcat:rf2zkcnzmfegbah5neizznmz54

Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation

Bijan Pesaran, Martin Vinck, Gaute T. Einevoll, Anton Sirota, Pascal Fries, Markus Siegel, Wilson Truccolo, Charles E. Schroeder, Ramesh Srinivasan
2018 Nature Neuroscience  
The inverse model describes how to infer the activity of populations of neurons from field potential recordings.  ...  New technologies to record electrical activity from the brain on a massive scale offer tremendous opportunities for discovery.  ...  An early view was that LFP selectivity differed from spiking recordings and was similar to EEG selectivity.  ... 
doi:10.1038/s41593-018-0171-8 pmid:29942039 fatcat:ew7ry7jpt5dsnaqsrypnada6z4

Testing the odds of inherent vs. observed overdispersion in neural spike counts

Wahiba Taouali, Giacomo Benvenuti, Pascal Wallisch, Frédéric Chavane, Laurent U. Perrinet
2016 Journal of Neurophysiology  
We show that the decoding accuracy is improved when accounting for over-dispersion, especially under the hypothesis of tuned over-dispersion.  ...  Finally, we compare the performance of this model to the Poisson model on a population decoding task.  ...  F32-EY019833 from the NIH.  ... 
doi:10.1152/jn.00194.2015 pmid:26445864 pmcid:PMC4760471 fatcat:z3pxxukkvbdohjccj5oon5da5m

A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities [article]

Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti, Azra Delpak,, Saeed Meshgini
2019 arXiv   pre-print
Scalp EEG recordings can be used to perform the inverse problem in order to specify the location of the dominant sources of the brain activity.  ...  In this paper, EEG source localization research is clustered as follows: solving the inverse problem by statistical method (37.5%), diagnosis of brain abnormalities using common EEG source localization  ...  function networks in adults with attention-deficit/hyperactivity Dewar, and M. R.  ... 
arXiv:1910.07980v1 fatcat:rxc6u3d3tvhqpnw6lkt22o44tu

The multisensory function of the human primary visual cortex

Micah M. Murray, Antonia Thelen, Gregor Thut, Vincenzo Romei, Roberto Martuzzi, Pawel J. Matusz
2016 Neuropsychologia  
This evidence emerges from a full pallet of human brain imaging and brain mapping methods with which multisensory processes are quantitatively assessed by taking advantage of particular strengths of each  ...  Highlights  The human primary visual cortex is multisensory in function.  This evidence emerges from a full pallet of brain imaging/mapping methods.  Haemodynamic methods show convergence and integration  ...  Acknowledgements The authors thank Céline Cappe for helpful comments on a prior version of the manuscript. AT is supported by the Swiss National Science Foundation (Grant P2LAP3_151771).  ... 
doi:10.1016/j.neuropsychologia.2015.08.011 pmid:26275965 fatcat:uj27qv4hufd63abcfm5pjxh4rm

Which "neural activity" do you mean? fMRI, MEG, oscillations and neurotransmitters

Krish D. Singh
2012 NeuroImage  
parameters of neural function as an ill-posed inverse problem.  ...  The results demonstrate a rich and complex story that does not fit with a simplistic view of BOLD reflecting "neural activity" and suggests that we could consider the coupling between BOLD and the various  ...  Acknowledgments In this paper I have reviewed several of the studies I have been involved in over the last 10 years or so.  ... 
doi:10.1016/j.neuroimage.2012.01.028 pmid:22248578 fatcat:he6gux7bqvgifaage3nn2nvism

A High Performance MEG Based BCI Using Single Trial Detection of Human Movement Intention [chapter]

Peter T., Kartikeya Sharma, Tom Holroyd, Harsha Battapady, Ding-Yu Fei, Ou Bai
2013 Functional Brain Mapping and the Endeavor to Understand the Working Brain  
These studies provide evidence that source localization may help refine accuracy of classification using EEG.  ...  In [ ], a MEG study exploring the decoding of movement directions, a reasonable detection accuracy was achieved from signals associated with the motor execution of physical movement.  ... 
doi:10.5772/54550 fatcat:mgr5nk363bd4xa27g4z5q4dkdm

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  ...  From the "data analysis" point of view (for level 4), a study was accepted if no major misuses of statistics were evident and if statistics were understandable from the article text, not necessarily from  ... 
doi:10.1155/2021/8878857 pmid:33613671 pmcid:PMC7878101 fatcat:gxykwyn5kfhbpp7uhncezbrbaa

Simple Acoustic Features Can Explain Phoneme-Based Predictions of Cortical Responses to Speech

Christoph Daube, Robin A.A. Ince, Joachim Gross
2019 Current Biology  
We illustrate our view with a data-driven, information theoretic analysis of a dataset of 24 young, healthy humans who listened to a 1 h narrative while their magnetoencephalogram (MEG) was recorded.  ...  We find that two recent results, the improved performance of an encoding model in which annotated linguistic and acoustic features were combined and the decoding of phoneme subgroups from phoneme-locked  ...  It is known that due to the non-uniqueness of the inverse problem, the spatial resolution of MEG source reconstructions is inherently limited.  ... 
doi:10.1016/j.cub.2019.04.067 pmid:31130454 pmcid:PMC6584359 fatcat:ub46l7mij5civae2ugot6hxhzi

EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks

Hristos Courellis, Tim Mullen, Howard Poizner, Gert Cauwenberghs, John R. Iversen
2017 Frontiers in Neuroscience  
Furthermore, cortical networks with dynamic causal connectivity in brain-computer interface (BCI) applications offer a more comprehensive view of brain states implicated in behavior than do individual  ...  signals from each ROI, and quantification of the dynamic causal interaction among the identified ROIs using the Short-time direct Directed Transfer function (SdDTF).  ...  Applying this assumption simplifies solving the inverse problem by reducing the number of variables to be estimated to N g (number of BEM grid-points) from 3 * N g , as is the case when accounting for  ... 
doi:10.3389/fnins.2017.00180 pmid:28566997 pmcid:PMC5434743 fatcat:a6jte7reenf5lgb6vk5cjwssqe

EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review

Christoph M. Michel, Thomas Koenig
2018 NeuroImage  
Combined EEG-fMRI studies and EEG source imaging studies have indicated that EEG microstates are closely associated with resting-state networks as identified using fMRI.  ...  A B S T R A C T The present review discusses a well-established method for characterizing resting-state activity of the human brain using multichannel electroencephalography (EEG).  ...  Synaptic Bases of Mental Diseases" financed by the Swiss National Science Foundation (Grant no.51AU40_125759) to CMM.  ... 
doi:10.1016/j.neuroimage.2017.11.062 pmid:29196270 fatcat:selgpkcl3rdk3l5iwufyzx4xfy

Neuronal oscillations form parietal/frontal networks during contour integration

Marta Castellano, Michael Plöchl, Raul Vicente, Gordon Pipa
2014 Frontiers in Integrative Neuroscience  
The contour formation in our visual stimulus is a dynamic process where, for the first time, visual perception of contours is disentangled from the onset of visual stimulation or from motor preparation  ...  Both long range networks, i.e., the gamma network that is category specific, and the beta network that is not category specific, are functionally distinct but spatially overlapping.  ...  ACKNOWLEDGMENTS The project was partially financed by the University of Osnabrück, the Frankfurt Institute of Advanced Studies and the Max Planck Institute for Brain Research, from the Neurophisiology  ... 
doi:10.3389/fnint.2014.00064 pmid:25165437 pmcid:PMC4131516 fatcat:brwstermjbbf3j2jw2r74oe3ze
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