Department of Cognitive and Neural Systems, Boston University, 677 Beacon Street, Boston, MA 02215, USA.
Neuroimage. 2010 Jun;51(2):694-703. doi: 10.1016/j.neuroimage.2010.02.008. Epub 2010 Feb 10.
Flattened representations of brain surfaces are often used to visualize and analyze spatial patterns of structural organization and functional activity. Here, we present a set of rigorous criteria and accompanying test cases with which to evaluate flattening algorithms that attempt to preserve shortest-path distances on the original surface. We also introduce a novel flattening algorithm that is the first to satisfy all of these criteria and demonstrate its ability to produce accurate flat maps of human and macaque visual cortex. Using this algorithm, we have recently obtained results showing a remarkable, unexpected degree of consistency in the shape and topographic structure of visual cortical areas within humans and macaques, as well as between these two species.
脑表面的展开表示形式通常用于可视化和分析结构组织和功能活动的空间模式。在这里，我们提出了一组严格的标准和配套的测试用例，用于评估试图在原始表面上保留最短路径距离的展开算法。我们还介绍了一种新颖的展开算法，该算法首次满足了所有这些标准，并证明了其能够生成人类和猕猴视觉皮层的准确平面图的能力。使用此算法，我们最近获得的结果表明，人类和猕猴的视觉皮层区域以及这两个物种之间的形状和地形结构具有惊人的、出乎意料的一致性。
