Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Department of Psychology, Northeastern University, Boston, MA, 02115, USA.
Commun Biol. 2023 Apr 12;6(1):401. doi: 10.1038/s42003-023-04796-0.
Gradient mapping is an important technique to summarize high dimensional biological features as low dimensional manifold representations in exploring brain structure-function relationships at various levels of the cerebral cortex. While recent studies have characterized the major gradients of functional connectivity in several brain structures using this technique, very few have systematically examined the correspondence of such gradients across structures under a common systems-level framework. Using resting-state functional magnetic resonance imaging, here we show that the organizing principles of the isocortex, and those of the cerebellum and hippocampus in relation to the isocortex, can be described using two common functional gradients. We suggest that the similarity in functional connectivity gradients across these structures can be meaningfully interpreted within a common computational framework based on the principles of predictive processing. The present results, and the specific hypotheses that they suggest, represent an important step toward an integrative account of brain function.
梯度映射是一种重要的技术，可将高维生物学特征总结为低维流形表示，以探索大脑皮层各个层次的结构-功能关系。虽然最近的研究已经使用该技术描述了几个脑结构中功能连接的主要梯度，但很少有研究系统地在共同的系统水平框架下检查这些梯度在结构之间的对应关系。使用静息态功能磁共振成像，我们在这里表明，同型皮质的组织原则，以及与同型皮质相关的小脑和海马的组织原则，可以使用两个常见的功能梯度来描述。我们建议，基于预测处理原则的共同计算框架，可以对这些结构之间功能连接梯度的相似性进行有意义的解释。目前的结果，以及它们所提出的具体假设，是对大脑功能综合解释的重要一步。
