<p></p><h2><a name="_Toc35418102">LORETA</a></h2><p>&nbsp;</p><p>LORETA stands for Low Resolution Electromagnetic Tomographical Analysis and was developed and published on by Roberto Pascual-Marquis et al. in 1994. LORETA was a way to locate electric activity in the brain based upon multi-channel EEG recordings. LORETA assumed the that, among the infinite set of possibilities of source localization for EEG, the neighboring neurons were simultaneously synchronized with the source defined. The computational task that LORETA undertakes is finding the smoothest of all possible 3D tomographical distributions (a common procedure in generalized signal processing). Tomography is the term used, as it is accurate in the sense that it is used in PET, MRI, and CT scans.</p><h3>&nbsp;Here are two videos showing a few ways LORETA is used in EEG Analysis&nbsp;</h3><h2>&nbsp;</h2><h2><video controls="true"><source src="@@PLUGINFILE@@/Loreta%20video%202.mp4">@@PLUGINFILE@@/Loreta%20video%202.mp4</video>Here is a video of LORETA as used in EEGLab in MatLab by Arnaud DeLorme</h2><h2>&nbsp;<a href="https://www.youtube.com/watch?v=amttvN_Sb6A">LORETA in EEGLab</a>&nbsp;<br><a name="_Toc35418103"></a></h2><p><h2>Here is a video of LORETA and ICA as used in WinEEG by Juri Kropotov</h2></p><p><a href="https://www.youtube.com/watch?v=CrrA771v-WY">Juri Kropotov and LORETA in WinEEG</a><br></p><p><h2>Here is a video of LORETA as used in Neuroguide by Bob Thatcher</h2><p><a href="https://www.youtube.com/watch?v=VzQoLg-FKBQ">Bob Thatcher on LORETA in Neuroguide</a><br></p></p><p></p>