Jun 1, 2020 · The objective of this systematic review is to identify and investigate the publications that have used source localization methods on EEG signals and discuss the pros and cons …

Apr 4, 2019 · High-density EEG systems combined with precise information of the head anatomy and sophisticated source localization algorithms now exist that convert the EEG to a true …

Here, we review the different EEG source localization procedures applied during the last two decades. Additionally, we detail the importance of those procedures preceding and following …

ith different depths. This review investigates diseases that are diagnosed using EEG source localization techniques. In this review we provide enough evidence that the effects of …

Since the discovery of electroencephalography (EEG), when it was hoped that EEG would offer "a window into the brain," researchers and clinicians have attempted to localize the neuronal …

This review summarizes the methods and considerations applied to the above EEG source localization process. It also introduces the applications of EEG source localization for epilepsy …

Mar 1, 2024 · Considering the head’s conductivity, deep regions’ sources with low activity are unlikely to be detected by the EEG electrodes at the scalp. In this study, we use fMRI’s high …

EEG (and MEG) source localization has been widely used to identify brain regions implicated in information processing and execution of tasks and to localize dysfunctional areas in different …

Dec 1, 2024 · By transforming traditional EEG data into 3D visualizations, LORETA provides researchers and clinicians with a tool for understanding brain function in specific brain regions, …

Oct 28, 2024 · We proposed a four-layered convolutional neural network (4LCNN) designed to locate both subcortical and cortical sources underlying M/EEG signals.