LeGUI: A Fast and Accurate Graphical User Interface for Automated Detection and Anatomical Localization of Intracranial Electrodes.
LeGUI: A Fast and Accurate Graphical User Interface for Automated Detection and Anatomical Localization of Intracranial Electrodes.
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DOI：
10.3389/fnins.2021.769872
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发表时间：
2021
影响因子：
4.3
通讯作者：
Rolston JD
中科院分区：
文献类型：
--
作者：
Davis TS;Caston RM;Philip B;Charlebois CM;Anderson DN;Weaver KE;Smith EH;Rolston JD
颅内电极的准确解剖定位对于识别癫痫患者的癫痫灶和解释采用颅内脑电图进行的认知研究的效果非常重要。定位通常通过植入后计算机断层扫描（CT）与术前磁共振成像（MRI）的配准进行。然后在CT中检测电极，并使用MRI识别相应的大脑区域。用于电极定位的许多现有软件包将预先存在的程序链接在一起，或者依赖于命令行指令来执行各种定位步骤，使得它们难以为典型用户安装和操作。此外，许多软件包提供了自信本地化所需的部分（但不是全部）步骤的解决方案。我们已经开发了软件，定位电极图形用户界面（LeGUI），该软件由一个界面组成，可执行定位表面和深度/穿透颅内电极所需的所有步骤，包括CT与MRI的配准、MRI与蒙特利尔神经学研究所模板的标准化、多种类型电极的自动电极检测、电极间距校正和向脑表面的投影，电极标记和解剖定位。该软件采用MATLAB编写，使用统计参数映射工具箱执行核心图像处理，并且独立可执行二进制文件可用于Windows、Mac和Linux平台。LeGUI在来自两所大学的51个数据集上进行了测试和验证。处理单个数据集所需的总用户和计算时间约为1小时。自动电极检测正确识别了4695个表面和深度电极中的4362个，只有71个假阳性。通过比较LeGUI中的电极位置与经验丰富的神经解剖学家指定的位置，验证了解剖靶向。LeGUI显示与482个神经解剖学家分配的位置有94%的匹配。LeGUI将颅内电极快速准确解剖定位所需的所有功能集成到单个界面中，使其成为颅内电生理研究的宝贵工具。
Accurate anatomical localization of intracranial electrodes is important for identifying the seizure foci in patients with epilepsy and for interpreting effects from cognitive studies employing intracranial electroencephalography. Localization is typically performed by coregistering postimplant computed tomography (CT) with preoperative magnetic resonance imaging (MRI). Electrodes are then detected in the CT, and the corresponding brain region is identified using the MRI. Many existing software packages for electrode localization chain together separate preexisting programs or rely on command line instructions to perform the various localization steps, making them difficult to install and operate for a typical user. Further, many packages provide solutions for some, but not all, of the steps needed for confident localization. We have developed software, Locate electrodes Graphical User Interface (LeGUI), that consists of a single interface to perform all steps needed to localize both surface and depth/penetrating intracranial electrodes, including coregistration of the CT to MRI, normalization of the MRI to the Montreal Neurological Institute template, automated electrode detection for multiple types of electrodes, electrode spacing correction and projection to the brain surface, electrode labeling, and anatomical targeting. The software is written in MATLAB, core image processing is performed using the Statistical Parametric Mapping toolbox, and standalone executable binaries are available for Windows, Mac, and Linux platforms. LeGUI was tested and validated on 51 datasets from two universities. The total user and computational time required to process a single dataset was approximately 1 h. Automatic electrode detection correctly identified 4362 of 4695 surface and depth electrodes with only 71 false positives. Anatomical targeting was verified by comparing electrode locations from LeGUI to locations that were assigned by an experienced neuroanatomist. LeGUI showed a 94% match with the 482 neuroanatomist-assigned locations. LeGUI combines all the features needed for fast and accurate anatomical localization of intracranial electrodes into a single interface, making it a valuable tool for intracranial electrophysiology research.
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影响因子：
4.2
作者：
Hinds, Walter A.;Misra, Amrit;Moxon, Karen A.
通讯作者：
Moxon, Karen A.
影响因子：
4.3
作者：
Gramfort A;Luessi M;Larson E;Engemann DA;Strohmeier D;Brodbeck C;Goj R;Jas M;Brooks T;Parkkonen L;Hämäläinen M
通讯作者：
Hämäläinen M
影响因子：
3.7
作者：
Hermes, D.;Miller, K. J.;Winawer, J.
通讯作者：
Winawer, J.
影响因子：
16.6
作者：
Martinet LE;Fiddyment G;Madsen JR;Eskandar EN;Truccolo W;Eden UT;Cash SS;Kramer MA
通讯作者：
Kramer MA
影响因子：
3.6
作者：
Jobst, Barbara C.;Bartolomei, Fabrice;Gotman, Jean
通讯作者：
Gotman, Jean