Bezgin Gleb, Solodkin Ana, Bakker Rembrandt, Ritter Petra, McIntosh Anthony R
Rotman Research Institute of Baycrest Centre, University of Toronto, Toronto, Ontario, Canada, M6A 2E1.
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada, H3A 2B4.
Hum Brain Mapp. 2017 Apr;38(4):2080-2093. doi: 10.1002/hbm.23506. Epub 2017 Jan 5.
Modern systems neuroscience increasingly leans on large-scale multi-lab neuroinformatics initiatives to provide necessary capacity for biologically realistic modeling of primate whole-brain activity. Here, we present a framework to assemble primate brain's biologically plausible anatomical backbone for such modeling initiatives. In this framework, structural connectivity is determined by adding complementary information from invasive macaque axonal tract tracing and non-invasive human diffusion tensor imaging. Both modalities are combined by means of available interspecies registration tools and a newly developed Bayesian probabilistic modeling approach to extract common connectivity evidence. We demonstrate how this novel framework is embedded in the whole-brain simulation platform called The Virtual Brain (TVB). Hum Brain Mapp 38:2080-2093, 2017. © 2017 Wiley Periodicals, Inc.
现代系统神经科学越来越依赖大规模多实验室神经信息学计划，以便为灵长类全脑活动的生物逼真模型提供必要的能力。在此，我们提出一个框架，为这类建模计划组装灵长类大脑具有生物学合理性的解剖学主干。在这个框架中，通过添加来自猕猴侵入性轴突束追踪和人类非侵入性扩散张量成像的补充信息来确定结构连通性。这两种模态借助现有的种间配准工具和一种新开发的贝叶斯概率建模方法进行组合，以提取共同的连通性证据。我们展示了这个新颖的框架如何嵌入名为“虚拟大脑”（TVB）的全脑模拟平台中。《人类大脑图谱》38:2080 - 2093，2017年。© 2017威利期刊公司。
