Identification of brain networks with high time/space resolution using dense EEG

A challenging issue in cognition is how to precisely identify brain networks at very short temporal scales. So far, very few studies have addressed this problem as it requires high temporal and spatial resolution simultaneously. The recent past years have seen a noticeable increase of interest for e...

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Bibliographic Details
Published in2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) pp. 1060 - 1063
Main Authors Hassan, M., Dufor, O., Benquet, P., Berrou, C., Wendling, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Electroencephalography
Image reconstruction
Neuroscience
Scalp
Spatial resolution
Synchronization
Visualization
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Summary:A challenging issue in cognition is how to precisely identify brain networks at very short temporal scales. So far, very few studies have addressed this problem as it requires high temporal and spatial resolution simultaneously. The recent past years have seen a noticeable increase of interest for electroencephalography (EEG) to analyze functional connectivity through brain sources reconstructed from scalp signals. Here, we performed a novel study based on EEG source connectivity to identify large scale networks with high temporal and spatial resolution. We show clear evidence of the ability of EEG source connectivity to identify brain networks with high time/space resolution during the visual processing period of picture naming task. Our qualitative and quantitative observations show that the identified brain networks are in accordance with fMRI-based results reported in the literature regarding involved brain areas.
ISSN:1948-3546
1948-3554
DOI:10.1109/NER.2015.7146810