paperKB
coga / coga-kb
Help
Sign in

Chunk #23 — 2. Materials and Methods — 2.6. EEG Based Functional Connectivity Analysis in eLORETA

Source
Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures.
Embedded
yes

Text

comparing eLORETA with other inverse methods, Halder et al. [91] found that while all these methods were successful in source identification if false positives were ignored, eLORETA was much superior even when false positives were accounted for. Localization capabilities and concordance of LORETA based methods have been reported by multimodal imaging studies of fMRI [92,93], structural MRI [94], and positron emission tomography (PET) [95,96], including studies with intracranial recordings in humans [97]. A growing number of studies are using eLORETA methods to examine current density activations and functional connectivity across brain regions to understand neurocognitive functioning and abnormalities (e.g., [43,44,45,57,58,98,99,100]).