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.

 

Methods: Using MNI152 2mm standard MPRAGE image we created a mesh model (Gray Scale Model Maker, 3D Slicer software). A 7 Yeo Network Liberal Mask was used to create the mesh model of the 7 standard Yeo Networks (Model Maker, 3D Slicer software). Laplacian HC algorithm (MeshLab) was used to smooth the mesh of the networks and the brain. Android applications was created with javascript and software tools: Unity 4.02f (graphic engine), Sublime text3 tools, Blender (mesh and materials), Gimp (textures). The position of EEG 10-20 standard electrodes was published in previous work, same author.

 

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.


Android app on Google Play

 
 

 

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