Title | ||
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Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode. |
Abstract | ||
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Interhemispheric connectivity with resting state MEG has been elusive, and demonstration of the default mode network (DMN) yet more challenging. Recent seed-based MEG analyses have shown interhemispheric connectivity using power envelope correlations. The purpose of this study is to compare graph theoretic maps of brain connectivity generated using MEG with and without signal leakage correction to evaluate for the presence of interhemispheric connectivity. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1016/j.neuroimage.2014.03.065 | NeuroImage |
Keywords | Field | DocType |
Magnetoencephalography,Graph theory,Default mode network,Interhemispheric connectivity,fMRI=functional MRI,PC=phase coherence,PLI=phase lag index,icoh=imaginary coherence | Cingulate cortex,Laterality,Resting state fMRI,Cognitive psychology,Artificial intelligence,Posterior cingulate,Time domain,Default mode network,Pattern recognition,Connectome,Machine learning,Magnetoencephalography,Mathematics | Journal |
Volume | ISSN | Citations |
96 | 1053-8119 | 9 |
PageRank | References | Authors |
0.55 | 10 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
joseph a maldjian | 1 | 182 | 19.84 |
Elizabeth M. Davenport | 2 | 12 | 1.96 |
Christopher T. Whitlow | 3 | 32 | 3.91 |