The New York Head-A precise standardized volume conductor model for EEG source localization and tES targeting.
The New York Head-A precise standardized volume conductor model for EEG source localization and tES targeting.
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纽约头 - 用于EEG源定位和TES定位的精确标准化体积导体模型。
DOI：
10.1016/j.neuroimage.2015.12.019
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发表时间：
2016-10-15
期刊：
影响因子：
5.7
通讯作者：
Haufe S
中科院分区：
文献类型：
--
作者：
Huang Y;Parra LC;Haufe S
在脑电图（EEG）信号的源定位以及定向经颅电流刺激（tES）中，需要体积导体模型来描述头部电流的流动。边界元模型（BEM）可以很容易地计算来表示主要的组织区室，但不能编码区室内的详细解剖信息。有限元模型可以捕获更多的组织类型和复杂的解剖结构，但精度较高的同时也需要半自动分割，计算成本较高。在任何一种情况下，调整到个体人体解剖结构都需要昂贵的磁共振成像（MRI），因此头部建模通常是基于“任意”个体的解剖结构（例如Colin27）。此外，现有的人类头部参考模型通常不包括脑脊液（CSF），而且它们的视野不包括头部和颈部的部分——这两个因素明显影响电流模式。在这里，我们提出了一个非常详细的FEM，我们称之为洲际弹道导弹- ny，或“纽约头”。它基于以MNI坐标定义的ICBM152解剖模板（152个成人大脑MRI的非线性平均值），为此我们将视野扩展到颈部，并以0.5 mm 3的分辨率对六种组织类型（头皮、颅骨、脑脊液、灰质、白质、空腔）进行了详细的分割。求解了231个电极位置的模型。为了评估其性能，我们为4名个体受试者构建了额外的fem和bem。四个单独的有限元模型（被视为“基本事实”）中的每一个都与它的BEM相比较，ICBM- ny， ICBM解剖结构的BEM， ICBM解剖结构的“个性化”BEM弯曲到个体头部表面，以及其他个体的fem。性能是根据EEG源定位和tES定位误差来衡量的。结果表明，ICBM- ny在两个标准下都优于不匹配个体解剖的fem和ICBM解剖的BEM。因此，我们建议纽约头作为一个新的标准头部模型，在未来的脑电图和tES研究中使用，当个人MRI不可用时。我们在neuralengr.com/nyhead/网站上发布了所有模型数据，以方便广泛采用。
In source localization of electroencephalograpic (EEG) signals, as well as in targeted transcranial electric current stimulation (tES), a volume conductor model is required to describe the flow of electric currents in the head. Boundary element models (BEM) can be readily computed to represent major tissue compartments, but cannot encode detailed anatomical information within compartments. Finite element models (FEM) can capture more tissue types and intricate anatomical structures, but with the higher precision also comes the need for semiautomated segmentation, and a higher computational cost. In either case, adjusting to the individual human anatomy requires costly magnetic resonance imaging (MRI), and thus head modeling is often based on the anatomy of an ‘arbitrary’ individual (e.g. Colin27). Additionally, existing reference models for the human head often do not include the cerebrospinal fluid (CSF), and their field of view excludes portions of the head and neck—two factors that demonstrably affect current-flow patterns. Here we present a highly detailed FEM, which we call ICBM-NY, or “New York Head”. It is based on the ICBM152 anatomical template (a non-linear average of the MRI of 152 adult human brains) defined in MNI coordinates, for which we extended the field of view to the neck and performed a detailed segmentation of six tissue types (scalp, skull, CSF, gray matter, white matter, air cavities) at 0.5 mm 3 resolution. The model was solved for 231 electrode locations. To evaluate its performance, additional FEMs and BEMs were constructed for four individual subjects. Each of the four individual FEMs (regarded as the ‘ground truth’) is compared to its BEM counterpart, the ICBM-NY, a BEM of the ICBM anatomy, an ‘individualized’ BEM of the ICBM anatomy warped to the individual head surface, and FEMs of the other individuals. Performance is measured in terms of EEG source localization and tES targeting errors. Results show that the ICBM-NY outperforms FEMs of mismatched individual anatomies as well as the BEM of the ICBM anatomy according to both criteria. We therefore propose the New York Head as a new standard head model to be used in future EEG and tES studies whenever an individual MRI is not available. We release all model data online at neuralengr.com/nyhead/ to facilitate broad adoption.
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影响因子：
1.3
作者：
COLLINS, DL;NEELIN, P;EVANS, AC
通讯作者：
EVANS, AC
DOI：
10.1109/embc.2012.6347236
发表时间：
2012
期刊：
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子：
--
作者：
Dannhauer M;Brooks D;Tucker D;MacLeod R
通讯作者：
MacLeod R
影响因子：
5.7
作者：
Edwards, Dylan;Cortes, Mar;Datta, Abhishek;Minhas, Preet;Wassermann, Eric M.;Bikson, Marom
通讯作者：
Bikson, Marom
影响因子：
2.7
作者：
Acar, Zeynep Akalin;Makeig, Scott
通讯作者：
Makeig, Scott
影响因子：
5.7
作者：
Fonov V;Evans AC;Botteron K;Almli CR;McKinstry RC;Collins DL;Brain Development Cooperative Group
通讯作者：
Brain Development Cooperative Group