The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.
eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity
Open accessAbstract
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 (104, 105) has stirred interest in studying pathological networks such as epilepsy, where determining the source that drives seizures is of particular importance (106).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [104]
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Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033 · cited 1×
“, and Λ (p) are the N×N matrices of model coefficients and the model order p can be determined using the Final Prediction Error (FPE) criterion (Akaike, 1971) and Schwarz Bayesian Criterion (SBC) (Schwarz, 1978).”
MethodDelorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371 · cited 1×
“EEGLAB (Delorme and Makeig, 2004) is an interactive MATLAB toolbox for processing continuous and event-related electrophysiological data.”
MethodInvestigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761 · cited 1×
“The concept of brain functional connectivity thus now plays an important role in neuroscience as a way to understand the organized behavior of brain regions beyond mapping and localization of their activities (Varela et al., 2001).”
BackgroundTesting for nonlinearity in time series: the method of surrogate data
Theiler, J. P., Eubank, S., Longtin, A., Galdrikian, B., & Farmer, J. D. (1992) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(92)90102-s · Cited by 3,759 · cited 1×
“Instead, a nonparametric method based on surrogate data is used to assess the significance of the estimated connectivity measures (Theiler et al., 1992; Palus and Hoyer, 1998; Ding et al., 2007).”
MethodAutomatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431
Dale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003
The five percent electrode system for high-resolution EEG and ERP measurements
Oostenveld, R., & Praamstra, P. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00527-7 · Cited by 1,915 · cited 1×
“Connectivity patterns at the EEG sensor level can also be visualized overlaying on a spherical head model, where the standard 10-5 electrode system (Oostenveld and Praamstra, 2001) is used.”
MethodPartial directed coherence: a new concept in neural structure determination
Baccalá, L. A., & Sameshima, K. (2001) · Biological Cybernetics · doi:10.1007/pl00007990 · Cited by 1,799 · cited 1×
“In addition, partial directed coherence (PDC) has also been proposed to assess the Granger causality (Baccala and Sameshima, 2001).”
Background
Cited by
Sorted by citations
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Wang, J., Wang, X., Xia, M., Liao, X., Evans, A. C., & Yong He, A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00386 · Cited by 1,439
“…visualize graph-based topological analyses of brain networks, such as the Brain Connectivity Toolbox (BCT; Rubinov and Sporns, 2010), eConnectome (He et al., 2011), CONN (Whitfield-Gabrieli and Nieto-Castanon, 2012), Graph-Analysis Toolbox (GAT; Hosseini et al., 2012) and GraphVar (Kruschwitz et…”
Real-time neuroimaging and cognitive monitoring using wearable dry EEG
Mullen, T. R., Kothe, C. A., Chi, Y. M., Ojeda, A., Kerth, T., Makeig, S., Jung, T., & Cauwenberghs, G. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2481482 · Cited by 838
“For instance, eConnectome [23] offers routines for adaptive con-”
EEG Source Imaging: A Practical Review of the Analysis Steps
Michel, C. M., & Brunet, D. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00325 · Cited by 716
Hosseini, S. M. H., Hoeft, F., & Kesler, S. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040709 · Cited by 365
“Brain Connectivity Toolbox [27]; eConnectome [28]; NetworkX (http://networkx.”
Background
Metadata
- 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)
- PMC
- PMC3244474
- 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
- green
- www.ncbi.nlm.nih.gov
- 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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