scholarly journals Cortical Source Analysis of High-Density EEG Recordings in Children

10.3791/51705 ◽  
2014 ◽  
Author(s):  
Joe Bathelt ◽  
Helen O'Reilly ◽  
Michelle de Haan
Keyword(s):  
High Density ◽  
Source Analysis ◽  
Eeg Recordings

scholarly journals Flanker task-elicited Event Related Potential sources reflect human recombinant Erythropoietin differential effects on Parkinson’s patients

2019 ◽  
Author(s):  
Maria L Bringas Vega ◽  
Shengnan Liu ◽  
Min Zhang ◽  
Ivonne Pedroso Ibañez ◽  
Lilia M. Morales Chacon ◽  
...  
Keyword(s):  
Flanker Task ◽  
Reaction Times ◽  
Event Related Potential ◽  
Source Analysis ◽  
Random Allocation ◽  
Recombinant Erythropoietin ◽  
Human Recombinant Erythropoietin ◽  
Human Erythropoietin ◽  
Eeg Source Analysis ◽  
Eeg Recordings

AbstractWe used EEG source analysis to identify which cortical areas were involved in the automatic and controlled processes of inhibitory control on a flanker task and compared the potential efficacy of recombinant-human erythropoietin (rHuEPO) on the performance of Parkinson’ s Disease patients.The samples were 18 medicated PD patients (nine of them received rHuEPO in addition to their usual anti-PD medication through random allocation and the other nine patients were on their regular anti-PD medication only) and 9 age and education-matched healthy controls (HCs) who completed the flanker task with simultaneous EEG recordings. N1 and N2 event-related potential (ERP) components were identified and a low-resolution tomography (LORETA) inverse solution was employed to localize the neural generators.Reaction times and errors were increased for the incongruent flankers for PD patients compared to controls. EEG source analysis identified an effect of rHuEPO on the lingual gyri for the early N1 component. N2-related sources in middle cingulate and precuneus were associated with the inhibition of automatic responses evoked by incongruent stimuli differentiated PD and HCs.From our results rHuEPO, seems to mediate an effect on N1 sources in lingual gyri but not on behavioural performance. N2-related sources in middle cingulate and precuneus evoked by incongruent stimuli differentiated PD and HCs.

scholarly journals Seeing voices: High-density electrical mapping and source-analysis of the multisensory mismatch negativity evoked during the McGurk illusion

2007 ◽  
Vol 45 (3) ◽  
pp. 587-597 ◽  
Author(s):  
Dave Saint-Amour ◽  
Pierfilippo De Sanctis ◽  
Sophie Molholm ◽  
Walter Ritter ◽  
John J. Foxe
Keyword(s):  
Mismatch Negativity ◽  
High Density ◽  
Source Analysis ◽  
Electrical Mapping ◽  
Mcgurk Illusion

Ictal localization by source analysis of infraslow activity in DC-coupled scalp EEG recordings

NeuroImage ◽  
2007 ◽  
Vol 35 (2) ◽  
pp. 583-597 ◽  
Author(s):  
John W. Miller ◽  
Wonsuk Kim ◽  
Mark D. Holmes ◽  
Sampsa Vanhatalo
Keyword(s):  
Source Analysis ◽  
Scalp Eeg ◽  
Eeg Recordings

scholarly journals Contribution of ictal source imaging for localizing seizure onset zone in patients with focal epilepsy patients

Neurology ◽  
2020 ◽  
pp. 10.1212/WNL.0000000000011109
Author(s):  
Shuai Ye ◽  
Lin Yang ◽  
Yunfeng Lu ◽  
Michal T. Kucewicz ◽  
Benjamin Brinkmann ◽  
...  
Keyword(s):  
Surgical Resection ◽  
Focal Epilepsy ◽  
High Density ◽  
Concordance Rate ◽  
Added Value ◽  
Seizure Onset ◽  
Source Imaging ◽  
Intracranial Eeg ◽  
Seizure Onset Zone ◽  
Eeg Recordings

ObjectiveTo determine whether seizure onset zone can be accurately localized prior to surgical planning in focal epilepsy patients, we performed non-invasive EEG recordings and source localization analyses on 39 patients.MethodsIn a total of 39 focal epilepsy patients, we recorded and extracted 138 seizures and 1,325 interictal epileptic discharges using high-density EEG. We have investigated a novel approach for directly imaging sources of seizures and interictal spikes from high density EEG recordings, and rigorously validated it for noninvasive localization of seizure onset zone (SOZ) determined from intracranial EEG findings and surgical resection volume. Conventional source imaging analyses were also performed for comparison.ResultsIctal source imaging showed a concordance rate of 95% when compared to intracranial EEG or resection results. The average distance from estimation to seizure onset (intracranial) electrodes is 1.35 cm in patients with concordant results, and 0.74 cm to surgical resection boundary in patients with successful surgery. About 41% of the patients were found to have multiple types of interictal activities; coincidentally, a lower concordance rate and a significantly worse performance in localizing SOZ were observed in these patients.ConclusionNoninvasive ictal source imaging with high-density EEG recording can provide highly concordant results with clinical decisions obtained by invasive monitoring or confirmed by resective surgery. By means of direct seizure imaging using high-density scalp EEG recordings, the added value of ictal source imaging is particularly high in patients with complex interictal activity patterns, who may represent the most challenging cases with poor prognosis.

scholarly journals High-density EEG Recordings of the Freely Moving Mice using Polyimide-based Microelectrode

10.3791/2562 ◽  
2011 ◽  
Author(s):  
Mina Lee ◽  
Dongwook Kim ◽  
Hee-Sup Shin ◽  
Ho-Geun Sung ◽  
Jee Hyun Choi
Keyword(s):  
High Density ◽  
Freely Moving ◽  
Eeg Recordings

scholarly journals Power spectral density changes and language lateralization during covert object naming tasks measured with high-density EEG recordings

2009 ◽  
Vol 14 (1) ◽  
pp. 54-59 ◽  
Author(s):  
C. Ramon ◽  
M. Holmes ◽  
Walter J. Freeman ◽  
Maciej Gratkowski ◽  
K.J. Eriksen ◽  
...  
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
High Density ◽  
Object Naming ◽  
Language Lateralization ◽  
Power Spectral ◽  
Eeg Recordings ◽  
Naming Tasks

scholarly journals Information Optimized Multilayer Network Representation of High Density Electroencephalogram Recordings

2021 ◽  
Vol 1 ◽  
Author(s):  
Francesc Font-Clos ◽  
Benedetta Spelta ◽  
Armando D’Agostino ◽  
Francesco Donati ◽  
Simone Sarasso ◽  
...  
Keyword(s):  
Mental Health ◽  
High Density ◽  
Edge Density ◽  
Occipital Region ◽  
Health Issues ◽  
Multilayer Networks ◽  
Multilayer Network ◽  
Control Subjects ◽  
Mental Health Issues ◽  
Eeg Recordings

High-density electroencephalography (hd-EEG) provides an accessible indirect method to record spatio-temporal brain activity with potential for disease diagnosis and monitoring. Due to their highly multidimensional nature, extracting useful information from hd-EEG recordings is a complex task. Network representations have been shown to provide an intuitive picture of the spatial connectivity underlying an electroencephalogram recording, although some information is lost in the projection. Here, we propose a method to construct multilayer network representations of hd-EEG recordings that maximize their information content and test it on sleep data recorded in individuals with mental health issues. We perform a series of statistical measurements on the multilayer networks obtained from patients and control subjects and detect significant differences between the groups in clustering coefficient, betwenness centrality, average shortest path length and parieto occipital edge presence. In particular, patients with a mood disorder display a increased edge presence in the parieto-occipital region with respect to healthy control subjects, indicating a highly correlated electrical activity in that region of the brain. We also show that multilayer networks at constant edge density perform better, since most network properties are correlated with the edge density itself which can act as a confounding factor. Our results show that it is possible to stratify patients through statistical measurements on a multilayer network representation of hd-EEG recordings. The analysis reveals that individuals with mental health issues display strongly correlated signals in the parieto-occipital region. Our methodology could be useful as a visualization and analysis tool for hd-EEG recordings in a variety of pathological conditions.

scholarly journals Occipital sleep spindles predict sequence learning in a visuo-motor task

SLEEP ◽  
2021 ◽  
Author(s):  
Nicolas D Lutz ◽  
Marie Admard ◽  
Elsa Genzoni ◽  
Jan Born ◽  
Karsten Rauss
Keyword(s):  
Sequence Learning ◽  
Motor Task ◽  
Internal Models ◽  
High Density ◽  
Event Related Potential ◽  
Sleep Spindles ◽  
Future Events ◽  
Spatio Temporal ◽  
Eeg Recordings ◽  
Human Participants

Abstract Study Objectives The brain appears to use internal models to successfully interact with its environment via active predictions of future events. Both internal models and the predictions derived from them are based on previous experience. However, it remains unclear how previously encoded information is maintained to support this function, especially in the visual domain. In the present study, we hypothesized that sleep consolidates newly encoded spatio-temporal regularities to improve predictions afterwards. Methods We tested this hypothesis using a novel sequence-learning paradigm that aimed to dissociate perceptual from motor learning. We recorded behavioral performance and high-density electroencephalography (EEG) in male human participants during initial training and during testing two days later, following an experimental night of sleep (n = 16, including high-density EEG recordings) or wakefulness (n = 17). Results Our results show sleep-dependent behavioral improvements correlated with sleep-spindle activity specifically over occipital cortices. Moreover, event-related potential (ERP) responses indicate a shift of attention away from predictable to unpredictable sequences after sleep, consistent with an enhanced automaticity in the processing of predictable sequences. Conclusions These findings suggest a sleep-dependent improvement in the prediction of visual sequences, likely related to visual cortex reactivation during sleep spindles. Considering that controls in our experiments did not fully exclude oculomotor contributions, future studies will need to address the extent to which these effects depend on purely perceptual versus oculomotor sequence learning.

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