Department of Psychology & Cognitive Neuroscience Institute, Bangor University, Bangor, Wales LL57 2AS, United Kingdom.
Department of Neurology and Neurosurgery & Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada.
Cereb Cortex. 2023 Nov 27;33(23):11384-11399. doi: 10.1093/cercor/bhad373.
The left inferior frontal gyrus has been ascribed key roles in numerous cognitive domains, such as language and executive function. However, its functional organization is unclear. Possibilities include a singular domain-general function, or multiple functions that can be mapped onto distinct subregions. Furthermore, spatial transition in function may be either abrupt or graded. The present study explored the topographical organization of the left inferior frontal gyrus using a bimodal data-driven approach. We extracted functional connectivity gradients from (i) resting-state fMRI time-series and (ii) coactivation patterns derived meta-analytically from heterogenous sets of task data. We then sought to characterize the functional connectivity differences underpinning these gradients with seed-based resting-state functional connectivity, meta-analytic coactivation modeling and functional decoding analyses. Both analytic approaches converged on graded functional connectivity changes along 2 main organizational axes. An anterior-posterior gradient shifted from being preferentially associated with high-level control networks (anterior functional connectivity) to being more tightly coupled with perceptually driven networks (posterior). A second dorsal-ventral axis was characterized by higher connectivity with domain-general control networks on one hand (dorsal functional connectivity), and with the semantic network, on the other (ventral). These results provide novel insights into an overarching graded functional organization of the functional connectivity that explains its role in multiple cognitive domains.
左侧额下回被赋予了许多认知领域的关键作用,如语言和执行功能。然而,其功能组织尚不清楚。可能包括单一的领域通用功能,或可以映射到不同子区域的多个功能。此外,功能的空间转换可能是突然的,也可能是渐变的。本研究使用双模态数据驱动方法探索了左侧额下回的拓扑组织。我们从(i)静息态 fMRI 时间序列和(ii)从异质任务数据集中得出的元分析共激活模式中提取功能连接梯度。然后,我们试图用基于种子的静息态功能连接、元分析共激活建模和功能解码分析来描述这些梯度所依赖的功能连接差异。这两种分析方法都集中在沿着两个主要组织轴的渐变功能连接变化上。从前到后的梯度从与高级控制网络(前功能连接)更紧密地相关转变为与感知驱动网络(后)更紧密地相关。第二个背腹轴的特点是一方面与领域通用控制网络的连接性更高(背侧功能连接),另一方面与语义网络的连接性更高(腹侧)。这些结果为解释其在多个认知领域中的作用的功能连接的总体渐变功能组织提供了新的见解。