Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110;
Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110.
Proc Natl Acad Sci U S A. 2020 Feb 18;117(7):3808-3818. doi: 10.1073/pnas.1910842117. Epub 2020 Feb 3.
The amygdala is central to the pathophysiology of many psychiatric illnesses. An imprecise understanding of how the amygdala fits into the larger network organization of the human brain, however, limits our ability to create models of dysfunction in individual patients to guide personalized treatment. Therefore, we investigated the position of the amygdala and its functional subdivisions within the network organization of the brain in 10 highly sampled individuals (5 h of fMRI data per person). We characterized three functional subdivisions within the amygdala of each individual. We discovered that one subdivision is preferentially correlated with the default mode network; a second is preferentially correlated with the dorsal attention and fronto-parietal networks; and third subdivision does not have any networks to which it is preferentially correlated relative to the other two subdivisions. All three subdivisions are positively correlated with ventral attention and somatomotor networks and negatively correlated with salience and cingulo-opercular networks. These observations were replicated in an independent group dataset of 120 individuals. We also found substantial across-subject variation in the distribution and magnitude of amygdala functional connectivity with the cerebral cortex that related to individual differences in the stereotactic locations both of amygdala subdivisions and of cortical functional brain networks. Finally, using lag analyses, we found consistent temporal ordering of fMRI signals in the cortex relative to amygdala subdivisions. Altogether, this work provides a detailed framework of amygdala-cortical interactions that can be used as a foundation for models relating aberrations in amygdala connectivity to psychiatric symptoms in individual patients.
杏仁核是许多精神疾病病理生理学的核心。然而，我们对杏仁核如何融入人类大脑更大的网络组织的理解并不精确，这限制了我们在个体患者中创建功能障碍模型以指导个性化治疗的能力。因此，我们在 10 名高度采样个体（每人 5 小时 fMRI 数据）中研究了杏仁核及其在大脑网络组织中的功能细分的位置。我们对每个个体的杏仁核的三个功能细分进行了特征描述。我们发现，一个细分与默认模式网络优先相关；第二个细分与背侧注意和额顶叶网络优先相关；第三个细分与其他两个细分相比，没有任何与之优先相关的网络。所有三个细分都与腹侧注意和躯体运动网络呈正相关，与显着性和扣带回-顶叶网络呈负相关。这些观察结果在 120 名个体的独立数据集组中得到了复制。我们还发现，杏仁核与大脑皮层的功能连接在分布和幅度上存在很大的个体间差异，这与杏仁核细分和皮质功能脑网络的立体定位个体差异有关。最后，通过滞后分析，我们发现相对于杏仁核细分，大脑皮层的 fMRI 信号具有一致的时间顺序。总的来说，这项工作提供了一个详细的杏仁核-皮层相互作用框架，可以作为将杏仁核连接异常与个体患者的精神症状联系起来的模型的基础。
