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Intracerebral EEG Artifact Identification Using Convolutional Neural Networks

Petr Nejedly, Jan Cimbalnik, Petr Klimes, Filip Plesinger, Josef Halamek, Vaclav Kremen, Ivo Viscor, Benjamin H. Brinkmann, Martin Pail, Milan Brazdil, Gregory Worrell, Pavel Jurak
2018 Neuroinformatics  
This study introduces a novel machine-learning approach for detection of artifacts in iEEG signals in clinically controlled conditions using convolutional neural networks (CNN) and benchmarks the method's  ...  Manual and semi-automatic identification of artifacts and unwanted physiological signals in large intracerebral electroencephalographic (iEEG) recordings is time consuming and inaccurate.  ...  Architecture of Convolutional Neural Network and Training Methods The CNN is a modification of a feed-forward neural network that uses weight sharing and exhibits translation invariance.  ... 
doi:10.1007/s12021-018-9397-6 pmid:30105544 fatcat:zmf3vipasje5rkyakx7pae6byi

Artifact Detection and Correction in EEG data: A Review [article]

S Sadiya, T Alhanai, MM Ghassemi
2021 arXiv   pre-print
Multiple types of artifacts contribute to the noisiness of EEG, and many techniques have been proposed to detect and correct these artifacts.  ...  These techniques range from simply detecting and rejecting artifact ridden segments, to extracting the noise component from the EEG signal.  ...  Multiple recent efforts have applied Convolutional Neural Networks (CNN) to EEG by representing data as an n × t image of n channels and t samples.  ... 
arXiv:2106.13081v1 fatcat:log2vjwqcfcxjooyjkpqihvx7m

Optimizing Seizure Prediction from Reduced Scalp EEG Channels Based on Spectral Features and MAML

Anibal Romney, Vidya Manian
2021 IEEE Access  
Identification Using Convolutional Neural Networks,” Neuroinformatics, vol. 17, no. 2, pp. 225–234, 2019, doi: [39] C. Finn, P. Abbeel, and S.  ...  Truong et al., “Convolutional neural networks for [30] C. Finn, P. Abbeel, and S.  ... 
doi:10.1109/access.2021.3134166 fatcat:bqcl7mxyhvhitjhmrejfe4puwq

The combination of EEG Source Imaging and EEG-correlated functional MRI to map epileptic networks

Serge Vulliemoz, Louis Lemieux, Jean Daunizeau, Christoph M. Michel, John S. Duncan
2010 Epilepsia  
With recent advances in methodology and clinical validation, EEG source imaging (ESI) may now be used to map epileptic activity as well as evoked responses to external stimuli.  ...  Functional electrophysiologic techniques such as electroencephalography (EEG) and magnetoencephalography (MEG) give insights into the dynamics of the networks involved in the generation of interictal and  ...  Neural mass models and ''symmetrical fusion model of EEG and fMRI'' In principle, EEG and fMRI data could be used to estimate fusion models relating BOLD signal and scalp EEG signals to underlying neuronal  ... 
doi:10.1111/j.1528-1167.2009.02342.x pmid:19817805 fatcat:wkzeojfr5fge5drheubnqxoiiu

Integrated Automatic Detection, Classification and Imaging of High Frequency Oscillations With Stereoelectroencephalography

Baotian Zhao, Wenhan Hu, Chao Zhang, Xiu Wang, Yao Wang, Chang Liu, Jiajie Mo, Xiaoli Yang, Lin Sang, Yanshan Ma, Xiaoqiu Shao, Kai Zhang (+1 others)
2020 Frontiers in Neuroscience  
The proposed pipeline includes stages of channel inclusion, candidate HFOs detection and automatic labeling with four trained convolutional neural network (CNN) classifiers and HFOs sorting based on occurrence  ...  The AUC values of the 20 testing patients increased after HFO classification, indicating a satisfactory prediction value of the proposed algorithm for EZ identification.  ...  CNN: convolutional neural network; HFOs: high frequency oscillations; Spk: spike; R: ripple; FR: fast ripple.  ... 
doi:10.3389/fnins.2020.00546 pmid:32581688 pmcid:PMC7287040 fatcat:ram7d7o3fvcbndjmy6wagnkqce

Recording of fast activity at the onset of partial seizures: Depth EEG vs. scalp EEG

D. Cosandier-Rimélé, F. Bartolomei, I. Merlet, P. Chauvel, F. Wendling
2012 NeuroImage  
21 because they suffer from a low signal-to-noise ratio and also are often obscured by muscle 22 artifacts.  ...  Here, we 8 used a model-based approach to examine the impact of several factors (distance to sources, skull 9 conductivity, source area, source synchrony, and background activity) on the observability  ...  Seizures of temporal lobe epilepsy: identification of subtypes by coherence 23 analysis using stereo-electro-encephalography. Clin.  ... 
doi:10.1016/j.neuroimage.2011.11.045 pmid:22146749 fatcat:4sdcmglhffgwrj5ls7vk5b6q44

Epileptogenicity Mapping

Leila Ayoubian, François Tadel, Olivier David
2020 Neurosurgery clinics of North America  
During the presurgical evaluation of patients with focal refractory epilepsies, the spatial mapping of the seizure onset zone (SOZ) and seizure propagation networks critically depends on the use of different  ...  The identification of the SOZ is usually based on visual inspection by highly qualified neurophysiologists.  ...  SEEG recordings were performed using an audio-video EEG monitoring system (Micromed, Treviso, Italy).  ... 
doi:10.1016/ pmid:32475492 fatcat:z5krfzprwfgofdg46ucfq3ks7e

Aperiodic measures of neural excitability are associated with anticorrelated hemodynamic networks at rest: a combined EEG-fMRI study [article]

Michael Jacob, Brian Roach, Kaia Sargent, Daniel Mathalon, Judith Ford
2021 bioRxiv   pre-print
This aperiodic neural signature accounts for most of total EEG power, although its significance and relation to functional neuroanatomy remains obscure.  ...  During eyes-open, resting-state recordings of simultaneous EEG-fMRI, we find that aperiodic and periodic components of EEG power are only minimally associated with activity in the default mode network.  ...  Scale-free EEG may reflect criticality dynamics of neural "avalanches" (He, 2014; R.  ... 
doi:10.1101/2021.01.30.427861 fatcat:l2ztyzwptfa7pm4563lomashyi

Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data

Seyyed Mostafa Sadjadi, Elias Ebrahimzadeh, Mohammad Shams, Masoud Seraji, Hamid Soltanian-Zadeh
2021 Frontiers in Neurology  
This paper explores recent reports on using advanced simultaneous EEG-fMRI methods proposed to map the regions and networks involved in focal epileptic seizure generation.  ...  This review examines the methodologies involved in performing such studies, including techniques used for the recording of EEG inside the scanner, artifact removal, and statistical analysis of the fMRI  ...  ACKNOWLEDGMENTS The authors thank the publishers for providing permission to use some of their published illustrations.  ... 
doi:10.3389/fneur.2021.645594 pmid:33986718 pmcid:PMC8110922 fatcat:c6vtg7tipre47ezhi7j6puouc4

Bio-Signal Complexity Analysis in Epileptic Seizure Monitoring: A Topic Review

Zhenning Mei, Xian Zhao, Hongyu Chen, Wei Chen
2018 Sensors  
[62] used a 13-layers deep convolutional neural network (DCNN) to perform computer-aided seizure detection.  ...  Ponten et al. (2007) [91] EEG Intracerebral EEG from 7 patients Synchronization likelihood based abstract network construction The abstract brain network tends to a more ordered configuration  ... 
doi:10.3390/s18061720 pmid:29861451 pmcid:PMC6022076 fatcat:owwowgqp7za5ll5ph5lrpiysma

Neurocritical Care: Bench to Bedside (Eds. Claude Hemphill, Michael James) Integrating and Using Big Data in Neurocritical Care

Brandon Foreman
2020 Neurotherapeutics  
The neurocritical care environment increasingly involves EEG, multimodal intracranial monitoring, and complex imaging which preclude comprehensive human synthesis, and requires new concepts to integrate  ...  the outputs that result from the use of tools such as artificial intelligence.  ...  Artificial neural networks and convolutional neural networks can be relatively simple (e.g., one or a few layers) or can encompass multiple layers, so-called deep learning.  ... 
doi:10.1007/s13311-020-00846-1 pmid:32152955 fatcat:rglfdrqm7bawbbs522t2gunvf4

fMRI-EEG Fingerprint Regression Model for Motor Cortex

Vitaly Rudnev, Mikhail Melnikov, Andrey Savelov, Mark Shtark, Estate Sokhadze
2021 NeuroRegulation  
Among the many different models for motor cortex, we chose the EEG Fingerprint one-electrode approach, based on rigid regression model with Stockwell EEG signal transformation, used before only for the  ...  EEG signal.  ...  Traditional methods of EEG signal reconstruction using EEG band power-based regressors convoluted with the HRF do not fully reflect the whole picture of nuances and complexities of the EEG phenomena (  ... 
doi:10.15540/nr.8.3.162 fatcat:h5zrjxufuvdrlcw5vabtvzvuwi

Local entrainment of oscillatory activity induced by direct brain stimulation in humans

Julià L. Amengual, Marine Vernet, Claude Adam, Antoni Valero-Cabré
2017 Scientific Reports  
An external electrode located on the scalp FCz position (10/20 EEG system) was used as a reference for the iEEG recordings.  ...  A potential source of artifacts in our data could emerge from the artifact removal procedure used to eliminate undesirable noise tied to the electrical pulses.  ... 
doi:10.1038/srep41908 pmid:28256510 pmcid:PMC5335652 fatcat:7j5bcsfsvrdgve6z6di27ilxpu

The neural bases of attentive reading

Julien Jung, Nelly Mainy, Philippe Kahane, Lorella Minotti, Dominique Hoffmann, Olivier Bertrand, Jean-Philippe Lachaux
2008 Human Brain Mapping  
We recorded the intracerebral EEG of 10 epileptic patients while manipulating their attention during reading, and compared the neural responses to attended and unattended words.  ...  The attenuation was not uniform within the reading network but followed a gradient from the posterior visual to the frontal areas.  ...  Recording and Data Analysis Intracerebral recordings were conducted using an audiovideo-EEG monitoring system (Micromed, Treviso, Italy), which allowed the simultaneous recording of 63 depth-EEG channels  ... 
doi:10.1002/hbm.20454 pmid:17894399 fatcat:tibvjnc4xbaavcco6rqgmz3w7q

The many faces of the gamma band response to complex visual stimuli

Jean-Philippe Lachaux, Nathalie George, Catherine Tallon-Baudry, Jacques Martinerie, Laurent Hugueville, Lorella Minotti, Philippe Kahane, Bernard Renault
2005 NeuroImage  
We recorded depth EEG of epileptic patients performing a face detection task and found that the stimuli induced strong modulations in the gamma band (40 Hz to 200 Hz) in selective occipital, parietal and  ...  Hoffmann for the placement of intracerebral electrodes and the technical staff in Grenoble's hospital in the Neurology Department, Valérie Balle, Carole Chatelard, Eliane Gamblin, and Anne Thiriaux for  ...  Recording and data analysis Intracerebral recordings were conducted using an audio-video-EEG monitoring system (Micromed, Treviso, Italy), which allowed the simultaneous recording of 63 depth-EEG channels  ... 
doi:10.1016/j.neuroimage.2004.11.052 pmid:15784428 fatcat:sus25tru7rezhmrzezn45vk2ym
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