Two Intrinsic Funtional Connectivity Visualization Applications: iBraiN and iBraiNEEG
G.M Rojas1, J.A. Fuentes1, M. Gálvez2.
1Laboratory for Advanced Medical Image Processing, 2Department of Radiology, Clínica las Condes, Santiago, Chile
Background:Visualization of complex neuroimaging data such as functional connectivity and his relation to EEG is a challenge. Many different visualization solutions to view complex image data have been proposed. Some authors described 2-D and 3-D neuroimaging visualization methods for tractography and functional connectivity data. Other authors described a stereoscopic method to view neuroradiological 3-D images. EEG is the standard diagnostic method for epilepsy, and the relation of EEG electrodes position and functional connectivity data could be of interest. Here we describe 2 Android applications: one to visualize the 7 standard functional connectivity networks, and the other shows the position of EEG 10-20 electrodes in relation to functional connectivity networks.
Results: We created two applications:
iBraiN (intrinsic Brain Networks): The user view a 3D transparent brain with 7 standard functional connectivity networks (Fig 1). The user could rotate the brain using onscreen controls. Tapping each network the name of it was shown in the screen. Tapping with 2 fingers in each network that connectivity network was shown in a transparent brain.
iBraiNEEG (intrinsic Brain Networks and EEG electrodes): The user view a similar brain as previous but with EEG 10-20 electrodes as spheres over the brain (Fig 2). Tapping each electrode, the name of it appears on screen.
Conclusions: The application iBraiN has potential use as an academic tool, because it shows the position in the cortex in a 3D environment of the different regions of each functional network. iBraiNEEG is an application tool that helps to analyze EEG data in relation to functional connectivity networks.