Title
An Intracranial Electroencephalography (iEEG) Brain Function Mapping Tool with an Application to Epilepsy Surgery Evaluation.
Abstract
Objects: Before epilepsy surgeries, intracranial electroencephalography (iEEG) is often employed in function mapping and epileptogenic foci localization. Although the implanted electrodes provide crucial information for epileptogenic zone resection, a convenient clinical tool for electrode position registration and Brain Function Mapping (BFM) visualization is still lacking. In this study, we developed a BFM Tool, which facilitates electrode position registration and BFM visualization, with an application to epilepsy surgeries. Methods: The BFM Tool mainly utilizes electrode location registration and function mapping based on pre-defined brain models from other software. In addition, the electrode node and mapping properties, such as the node size/color, edge color/thickness, mapping method, can be adjusted easily using the setting panel. Moreover, users may manually import/export location and connectivity data to generate figures for further application. The role of this software is demonstrated by a clinical study of language area localization. Results: The BFM Tool helps clinical doctors and researchers visualize implanted electrodes and brain functions in an easy, quick and flexible manner. Conclusions: Our tool provides convenient electrode registration, easy brain function visualization, and has good performance. It is clinical oriented and is easy to deploy and use. The BFM tool is suitable for epilepsy and other clinical iEEG applications.
Year
DOI
Venue
2016
10.3389/fninf.2016.00015
FRONTIERS IN NEUROINFORMATICS
Keywords
Field
DocType
intracranial EEG,electrode registration,epilepsy,function mapping,data visualization
Data mining,Neuroscience,Epilepsy surgery,Computer science,Resection,Software,Artificial intelligence,Intracranial Electroencephalography,Clinical study,Function mapping,Computer vision,Data visualization,Visualization
Journal
Volume
Citations 
PageRank 
10
4
0.46
References 
Authors
3
5
Name
Order
Citations
PageRank
Yinghua Wang1373.86
Jiaqing Yan262.51
Jianbin Wen340.46
Tao Yu461.23
Xia, X.5112.94