Study of resting-state functional connectivity networks using EEG electrodes position as seed

Gonzalo M. Rojas*, Carolina Alvarez, Carlos E. Montoya, María de la Iglesia-Vayá, Jaime E. Cisternas, Marcelo Gálvez

*Autor correspondiente de este trabajo

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

50 Citas (Scopus)

Resumen

Electroencephalography (EEG) is the standard diagnosis method for a wide variety of diseases such as epilepsy, sleep disorders, encephalopathies, and coma, among others. Resting-state functional magnetic resonance (rs-fMRI) is currently a technique used in research in both healthy individuals as well as patients. EEG and fMRI are procedures used to obtain direct and indirect measurements of brain neural activity: EEG measures the electrical activity of the brain using electrodes placed on the scalp, and fMRI detects the changes in blood oxygenation that occur in response to neural activity. EEG has a high temporal resolution and low spatial resolution, while fMRI has high spatial resolution and low temporal resolution. Thus, the combination of EEG with rs-fMRI using different methods could be very useful for research and clinical applications. In this article, we describe and show the results of a new methodology for processing rs-fMRI using seeds positioned according to the 10-10 EEG standard. We analyze the functional connectivity and adjacency matrices obtained using 65 seeds based on 10-10 EEG scheme and 21 seeds based on 10-20 EEG. Connectivity networks are created using each 10-20 EEG seeds and are analyzed by comparisons to the seven networks that have been found in recent studies. The proposed method captures high correlation between contralateral seeds, ipsilateral and contralateral occipital seeds, and some in the frontal lobe.
Idioma originalInglés
Número de artículo235
PublicaciónFrontiers in Neuroscience
Volumen12
N.ºAPR
DOI
EstadoPublicada - 24 abr. 2018

Nota bibliográfica

Publisher Copyright:
© 2018 Rojas, Alvarez, Montoya, de la Iglesia-Vayá, Cisternas and Gálvez.

Palabras clave

  • 10-10 EEG system
  • 10-20 EEG system
  • EEG
  • EEG-fMRI
  • Functional connectivity
  • Rs-fMRI

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