Assem Moataz, Shashidhara Sneha, Glasser Matthew F, Duncan John
MRC Cognition and Brain Sciences Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 7EF, United Kingdom.
Psychology Department, Ashoka University, Sonipat, 131029, India.
Cereb Cortex. 2024 Jan 31;34(2). doi: 10.1093/cercor/bhad537.
Theoretical models suggest that executive functions rely on both domain-general and domain-specific processes. Supporting this view, prior brain imaging studies have revealed that executive activations converge and diverge within broadly characterized brain networks. However, the lack of precise anatomical mappings has impeded our understanding of the interplay between domain-general and domain-specific processes. To address this challenge, we used the high-resolution multimodal magnetic resonance imaging approach of the Human Connectome Project to scan participants performing 3 canonical executive tasks: n-back, rule switching, and stop signal. The results reveal that, at the individual level, different executive activations converge within 9 domain-general territories distributed in frontal, parietal, and temporal cortices. Each task exhibits a unique topography characterized by finely detailed activation gradients within domain-general territory shifted toward adjacent resting-state networks; n-back activations shift toward the default mode, rule switching toward dorsal attention, and stop signal toward cingulo-opercular networks. Importantly, the strongest activations arise at multimodal neurobiological definitions of network borders. Matching results are seen in circumscribed regions of the caudate nucleus, thalamus, and cerebellum. The shifting peaks of local gradients at the intersection of task-specific networks provide a novel mechanistic insight into how partially-specialized networks interact with neighboring domain-general territories to generate distinct executive functions.
理论模型表明,执行功能依赖于领域通用和领域特定的过程。支持这一观点的是,先前的脑成像研究表明,执行激活在广泛表征的脑网络中既会聚又发散。然而,缺乏精确的解剖映射阻碍了我们对领域通用和领域特定过程之间相互作用的理解。为了应对这一挑战,我们使用了人类连接体项目的高分辨率多模态磁共振成像方法,对执行三项典型执行任务(n-back、规则切换和停止信号)的参与者进行扫描。结果显示,在个体层面上,不同的执行激活在分布于额叶、顶叶和颞叶皮质的9个领域通用区域内会聚。每项任务都表现出独特的地形特征,其特点是在领域通用区域内有精细的激活梯度,这些梯度向相邻的静息态网络转移;n-back激活向默认模式转移,规则切换向背侧注意转移,停止信号向扣带回-岛叶网络转移。重要的是,最强的激活出现在网络边界的多模态神经生物学定义处。在尾状核、丘脑和小脑的限定区域也观察到了匹配的结果。任务特定网络交汇处局部梯度的移动峰值为部分专门化网络如何与相邻的领域通用区域相互作用以产生不同的执行功能提供了新的机制性见解。