Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, WC1N 3BG, UK.
Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, WC1N 3BG, UK; Max Planck-University College London Centre for Computational Psychiatry and Ageing Research, London, WC1B 5EH, UK.
Neuroimage. 2017 Oct 1;159:9-17. doi: 10.1016/j.neuroimage.2017.07.042. Epub 2017 Jul 20.
A defining feature of the basal ganglia is their anatomical organization into multiple cortico-striatal loops. A central tenet of this architecture is the idea that local striatal function is determined by its precise connectivity with cortex, creating a functional topography that is mirrored within cortex and striatum. Here we formally test this idea using both human anatomical and functional imaging, specifically asking whether within striatal subregions one can predict between-voxel differences in functional signals based on between-voxel differences in corticostriatal connectivity. We show that corticostriatal connectivity profiles predict local variation in reward signals in bilateral caudate nucleus and putamen, expected value signals in bilateral caudate nucleus, and response effector activity in bilateral putamen. These data reveal that, even within individual striatal regions, local variability in corticostriatal anatomical connectivity predicts functional differentiation.
基底神经节的一个显著特征是其解剖组织可以分为多个皮质纹状体回路。这个结构的一个中心原则是，局部纹状体的功能取决于其与皮质的确切连接，从而在皮质和纹状体内部创建一个功能地形图。在这里，我们使用人类解剖学和功能成像来正式检验这个想法，具体来说，我们询问在纹状体的亚区中，是否可以根据皮质纹状体连接的体素间差异来预测功能信号的体素间差异。我们发现，皮质纹状体连接谱可以预测双侧尾状核和壳核的奖励信号、双侧尾状核的预期值信号以及双侧壳核的反应效应器活动的局部变化。这些数据表明，即使在单个纹状体区域内，皮质纹状体解剖连接的局部变化也可以预测功能分化。
