Human head models and populational framework for simulating brain stimulations: part 4

We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2 Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018 This dataset is split into 6 parts, you are currently on part 4. All parts are linked below: Dataset_1: https://zenodo.org/records/13259679 Dataset_2: https://zenodo.org/records/13259747 Dataset_3: https://zenodo.org/records/13259943 Dataset_4: https://zenodo.org/records/13260068 Dataset_5: https://zenodo.org/records/13259599 Dataset_6: https://zenodo.org/records/13260208我们发布了一套经整理的无创脑刺激（noninvasive brain stimulation, NIBS）建模专用计算模型数据集。本数据集包含该合集的一个子集，共100份经预处理、质量验证且基于人类连接组计划（Human Connectome Project, HCP）s1200版本（Van Essen等，2012）成像数据构建的真实头部模型。我们提供了经过验证的有限元网格（finite-element meshes）、配套解剖影像、组织分割结果、标准空间配准结果、质量评估指标以及引导场矩阵（lead-field matrices）。我们为每份头部模型提供了基于一系列生物学合理取值范围的个性化组织电导率参数建议（McCann等，2019）。此外，我们还针对本数据集的若干应用场景提供了简洁易用的计算机代码。 McCann, H., Pisano, G., & Beltrachini, L. (2019). 已报道的人类头部组织电导率值的变异性. 脑地形图（Brain Topography）, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2 Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP联盟. (2012). 人类连接组计划：数据采集视角. 神经图像（NeuroImage）, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018 本数据集共分为6个部分，您当前所在的是第4部分。所有数据集的链接如下： 数据集1：https://zenodo.org/records/13259679 数据集2：https://zenodo.org/records/13259747 数据集3：https://zenodo.org/records/13259943 数据集4：https://zenodo.org/records/13260068 数据集5：https://zenodo.org/records/13259599 数据集6：https://zenodo.org/records/13260208