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Chunk #4 — 1. Introduction

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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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The utility of brain electrophysiological measures to understand neurocognitive dynamics in AUD have been well-documented [5,6,12,35,40,41]. However, until recently, the utility of these measures to understand brain network mechanisms in terms of neuroanatomical connections were beyond reach due to their poor spatial resolution. With the advent of modern techniques using source modeling of EEG signals in three-dimensional cortical voxels, it became possible to study brain connectivity across specific networks. One such method is the exact low-resolution brain electromagnetic tomography (eLORETA) [42], which has been commonly used to assess EEG-based functional connectivity, a measure of temporal synchrony between brain signals across different anatomical regions in healthy individuals (e.g., [43]) as well as in those with neuropsychiatric disorders (e.g., [44,45]).