Somers David C, Michalka Samantha W, Tobyne Sean M, Noyce Abigail L
Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA.
Olin College of Engineering, Needham, MA, US.
Curr Opin Behav Sci. 2021 Aug;40:169-177. doi: 10.1016/j.cobeha.2021.05.002. Epub 2021 Jun 11.
Sensory modality, widely accepted as a key factor in the functional organization of posterior cortical areas, also shapes the organization of human frontal lobes. 'Deep imaging,' or the practice of collecting a sizable amount of data on individual subjects, offers significant advantages in revealing fine-scale aspects of functional organization of the human brain. Here, we review deep imaging approaches to mapping multiple sensory-biased and multiple-demand regions within human lateral frontal cortex. In addition, we discuss how deep imaging methods can be transferred to large public data sets to further extend functional mapping at the group level. We also review how 'connectome fingerprinting' approaches, combined with deep imaging, can be used to localize fine-grained functional organization in individual subjects using resting-state data. Finally, we summarize current 'best practices' for deep imaging.
感觉模态被广泛认为是后皮质区域功能组织的关键因素，它也塑造了人类额叶的组织。“深度成像”，即收集大量个体受试者数据的做法，在揭示人类大脑功能组织的精细方面具有显著优势。在这里，我们回顾了用于绘制人类外侧额叶皮质内多个感觉偏向区域和多需求区域的深度成像方法。此外，我们讨论了深度成像方法如何能够应用于大型公共数据集，以进一步扩展群体水平的功能图谱。我们还回顾了“连接组指纹识别”方法与深度成像相结合，如何能够利用静息态数据在个体受试者中定位精细的功能组织。最后，我们总结了深度成像当前的“最佳实践”。
