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Chunk #19 — Methods — Functional Connectivity Analysis

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Resting-state network disruption and APOE genotype in Alzheimer's disease: a lagged functional connectivity study.
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lagged connectivity measure is thought to be accurately corrected as it represents the connectivity between two signals after the instantaneous zero-lag contribution (artifactual component) has been excluded. Such a correction is necessary when using scalp EEG signals or estimated intracranial signals (EEG tomography) because zero-lag connectivity in a given frequency band is often due to non-physiological effects or intrinsic physics artifacts, in particular volume conduction and low spatial resolution that usually affect other connectivity indices [41], [42]. Thus, this measure is thought to contain only physiological connectivity information. Details on eLORETA lagged connectivity algorithm can be found in recent publications [23], [24].