Cited by 229Functional Brain Connectivity StudiesEEG and Brain-Computer InterfacesNeural dynamics and brain function

eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity

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He, Bin, Dai, Yakang, Astolfi, Laura, Babiloni, Fabio, Yuan, Han, Yang, Lin·2011·Journal of Neuroscience Methods

Abstract

We have developed a MATLAB-based toolbox, eConnectome (electrophysiological connectome), for mapping and imaging functional connectivity at both the scalp and cortical levels from the electroencephalogram (EEG), as well as from the electrocorticogram (ECoG). Graphical user interfaces were designed for interactive and intuitive use of the toolbox. Major functions of eConnectome include EEG/ECoG preprocessing, scalp spatial mapping, cortical source estimation, connectivity analysis, and visualization. Granger causality measures such as directed transfer function and adaptive directed transfer function were implemented to estimate the directional interactions of brain functional networks, over the scalp and cortical sensor spaces. Cortical current density inverse imaging was implemented using a generic realistic geometry brain-head model from scalp EEGs. Granger causality could be further estimated over the cortical source domain from the inversely reconstructed cortical source signals as derived from the scalp EEG. Users may implement other connectivity estimators in the framework of eConnectome for various applications. The toolbox package is open-source and freely available at http://econnectome.umn.edu under the GNU general public license for noncommercial and academic uses.

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  • The eConnectome approach has stirred interest in studying pathological networks such as epilepsy, where determining the source that drives seizures is important.

    “The eConnectome approach (104, 105) has stirred interest in studying pathological networks such as epilepsy, where determining the source that drives seizures is of particular importance (106).”

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Authors
He, B., Dai, Y., Astolfi, L., Babiloni, F., Yuan, H., & Yang, L.
Affiliations
  • University of Minnesota (US)
  • Fondazione Santa Lucia (IT)
Corresponding author
He, Bin
Venue
Journal of Neuroscience Methods
Publisher
Elsevier BV
Published
2011-02
Volume
195
Issue
2
Pages
261-269
ISSN
0165-0270 (ISSN-L)
OpenAlex
W2086498469
Cited by
229
References
46
Citations by year
2026: 7 · 2025: 9 · 2024: 13 · 2023: 8 · 2022: 14 · 2021: 17 · 2020: 17 · 2019: 18 · 2018: 22 · 2017: 20 · 2016: 19 · 2015: 23 · 2014: 17 · 2013: 11 · 2012: 9
FWCI
4.85
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience Methods (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Funders
NIH/NIBIB (RO1EB006433, RO1EB007920)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
brain functional connectivity, EEG, electrocorticography, Granger causality, directed transfer function, MATLAB toolbox
MeSH terms
Brain, Brain Mapping, Computer Simulation, Diagnostic Imaging, Electroencephalography, Evoked Potentials, Humans, Signal Processing, Computer-Assisted, Software, Time Factors

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