Department of Pharmacology and Physiology, University of Rochester Medical Center, Rochester, NY 14642.
Allen Institute for Brain Science, Seattle, WA 98109.
eNeuro. 2017 Dec 22;4(6). doi: 10.1523/ENEURO.0392-17.2017. eCollection 2017 Nov-Dec.
The canonical striatal map, based predominantly on frontal corticostriatal projections, divides the striatum into ventromedial-limbic, central-association, and dorsolateral-motor territories. While this has been a useful heuristic, recent studies indicate that the striatum has a more complex topography when considering converging frontal and nonfrontal inputs from distributed cortical networks. The ventral striatum (VS) in particular is often ascribed a "limbic" role, but it receives diverse information, including motivation and emotion from deep brain structures, cognition from frontal cortex, and polysensory and mnemonic signals from temporal cortex. Using anatomical tract-tracing in 17 male adult monkeys (, , ), we build upon this striatal map by systematically mapping inputs from frontal cortex, amygdala, temporal pole, and medial temporal cortex. We find that the VS contains heterogeneous subregions that become apparent when considering both the identities and strengths of inputs. We parcellated the VS into a ventromedial sector receiving motivation and emotion-related information from regions including area TG, ventromedial PFC, ACC, and amygdala; and a more functionally diverse dorsolateral sector that receives this information coupled to cognitive and sensorimotor information from dorsolateral PFC, ventrolateral PFC, premotor cortex, area TAr, and area TEr. Each sector was further parcellated into smaller regions that had different proportions of these inputs. Together, the striatum contains complex, selective input combinations, providing substrates for myriad associations. This VS parcellation provides a map that can guide and interpret functional interactions in healthy individuals and those with psychiatric disorders, and may be useful in targeting treatments for specific psychiatric conditions.
基于主要来自额皮质纹状体投射的经典纹状体图谱，将纹状体分为腹侧-边缘、中央联合和背外侧-运动区域。虽然这是一种有用的启发式方法，但最近的研究表明，当考虑来自分布式皮质网络的汇聚额皮质和非额皮质输入时，纹状体具有更复杂的拓扑结构。特别是腹侧纹状体 (VS) 通常被赋予“边缘”作用，但它接收来自深部脑结构的多种信息，包括动机和情绪、来自前额皮质的认知以及来自颞叶皮质的多感觉和记忆信号。使用 17 只成年雄性猴子的解剖学束追踪（,, ），我们通过系统地映射来自前额皮质、杏仁核、颞极和内侧颞叶皮质的输入，对该纹状体图谱进行了扩展。我们发现，VS 包含异质的亚区，当考虑输入的身份和强度时，这些亚区变得明显。我们将 VS 分为腹侧区域，接收来自包括 TG 区、腹内侧前额皮质、ACC 和杏仁核在内的区域的与动机和情绪相关的信息；以及一个功能更加多样化的背侧区域，接收来自背外侧前额皮质、腹外侧前额皮质、运动前皮质、TA 区和 TE 区的认知和感觉运动信息。每个区域进一步分为更小的区域，这些区域具有不同比例的这些输入。总的来说，纹状体包含复杂的、选择性的输入组合，为无数的关联提供了基础。这种 VS 分区提供了一个图谱，可以指导和解释健康个体和患有精神障碍个体的功能相互作用，并且可能有助于针对特定精神疾病的治疗。
