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An Intracranial Electroencephalography (iEEG) Brain Function Mapping Tool with an Application to Epilepsy Surgery Evaluation

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机构: [1]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China, [2]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China, [3]School of Electrical and Control Engineering, North China University of Technology, Beijing, China, [4]Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
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关键词: intracranial EEG electrode registration epilepsy function mapping data visualization

摘要:
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.

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出版当年[2015]版:
大类 | 3 区 医学
小类 | 2 区 数学与计算生物学 3 区 神经科学
最新[2023]版:
大类 | 4 区 医学
小类 | 3 区 数学与计算生物学 4 区 神经科学
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出版当年[2014]版:
Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q2 NEUROSCIENCES
最新[2023]版:
Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q3 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2014版] 出版当年五年平均 出版前一年[2013版] 出版后一年[2015版]

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第一作者机构: [1]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China, [2]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China,
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通讯机构: [1]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China, [2]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China,
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