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Chunk #25 — 2. Materials and Methods — 2.6. EEG Based Functional Connectivity Analysis in eLORETA

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Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures.
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and the imaginary part of the complex valued coherency is more affected by instantaneous dependence, whereas the lagged coherence, which is employed in eLORETA, is devoid of the confounding effect of instantaneous dependence due to volume conduction and low spatial resolution. In the current study, the eLORETA was used to extract time-series of current density for the different regions of interests (ROIs) and to compute ROI-to-ROI functional connectivity coefficients across the DMN seed regions (Figure 1 and Table 2) using linear lagged coherence across the seed regions on the preprocessed EEG segments for the custom frequency bands: delta (1–3 Hz), theta (4–7 Hz), alpha (8–12 Hz), beta (13–29 Hz), and gamma (30–40 Hz).