<p>Independent components are spatially and spectrally independent variables in the EEG. Independent component analysis (ICA) is a statistical method to separate independent sources from extracerebellar signals. It is the most common method that has been used in EEG data decomposition, and can be used to identify and remove the artifacts from raw EEG data. Features including time series, power spectrum density (PSD), component scalp map (Topomap), and dipole source location are extracted from ICA are shown for each component. iSyncBrain computes the EEG and breaks it down into its component parts, represented in components that are ranked by their variability.&nbsp;<br></p><p style="text-align: center;"><img src="@@PLUGINFILE@@/isyncbrain-quantitative-database.png" alt="Figure #1: Image of an Independent Component from iSyncBrain Quantitative Database" width="743" height="305" class="img-responsive atto_image_button_text-bottom"><br></p><p style="text-align: center;">Figure #1: Image of an Independent Component from iSyncBrain Quantitative Database<br></p><p style="text-align: center;"><br></p><p style="text-align: center;"><img src="@@PLUGINFILE@@/isyncbrain-power-finding.png" alt="Figure #2: Subcortical Power Findings in iSyncBrain" width="718" height="621" class="img-responsive atto_image_button_text-bottom"><br></p><p style="text-align: center;">Figure #2: Subcortical Power Findings in iSyncBrain<br></p><p style="text-align: center;"><br></p><p style="text-align: center;"><img src="@@PLUGINFILE@@/eeg-isync-brain.png" alt="Figure #3: Connectivity Findings in the EEG in iSync Brain" width="739" height="605" class="img-responsive atto_image_button_text-bottom"><br></p><p style="text-align: center;">Figure #3: Connectivity Findings in the EEG in iSync Brain<br></p><p style="text-align: center;"><br></p><p style="text-align: center;"><img src="@@PLUGINFILE@@/isyncbrain-ica.png" alt="Figure #4: ICA Cleaning as seen in iSyncBrain" width="676" height="493" class="img-responsive atto_image_button_text-bottom"><br></p><p style="text-align: center;">Figure #4: ICA Cleaning as seen in iSyncBrain<br></p><p style="text-align: center;"><br></p><p style="text-align: center;"><br></p>