Tripathi Vaibhav, Batta Ishaan, Zamani Andre, Atad Daniel A, Sheth Sneha K S, Zhang Jiahe, Wager Tor D, Whitfield-Gabrieli Susan, Uddin Lucina Q, Prakash Ruchika S, Bauer Clemens C C
Center for Brain Science and Department of Psychology, Harvard University, Cambridge, Massachusetts; Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts.
Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Apr;10(4):359-368. doi: 10.1016/j.bpsc.2024.12.016. Epub 2025 Jan 9.
The default mode network (DMN) is intricately linked with processes such as self-referential thinking, episodic memory recall, goal-directed cognition, self-projection, and theory of mind. In recent years, there has been a surge in the number of studies examining its functional connectivity, particularly its relationship with frontoparietal networks involved in top-down attention, executive function, and cognitive control. The fluidity in switching between these internal and external modes of processing, which is highlighted by anticorrelated functional connectivity, has been proposed as an indicator of cognitive health. Due to the ease of estimation of functional connectivity-based measures through resting-state functional magnetic resonance imaging paradigms, there is now a wealth of large-scale datasets, paving the way for standardized connectivity benchmarks. In this review, we explore the promising role of DMN connectivity metrics as potential biomarkers of cognitive state across attention, internal mentation, mind wandering, and meditation states and investigate deviations in trait-level measures across aging and in clinical conditions such as Alzheimer's disease, Parkinson's disease, depression, attention-deficit/hyperactivity disorder, and others. We also tackle the issue of reliability of network estimation and functional connectivity and share recommendations for using functional connectivity measures as a biomarker of cognitive health.
默认模式网络(DMN)与诸如自我参照思维、情景记忆回忆、目标导向认知、自我投射和心理理论等过程有着复杂的联系。近年来,研究其功能连接性的研究数量激增,尤其是其与参与自上而下注意力、执行功能和认知控制的额顶叶网络的关系。由反相关功能连接突出显示的这些内部和外部处理模式之间切换的灵活性,已被提议作为认知健康的一个指标。由于通过静息态功能磁共振成像范式易于估计基于功能连接的测量,现在有大量的大规模数据集,为标准化连接基准铺平了道路。在本综述中,我们探讨了DMN连接性指标作为跨注意力、内部思维、走神和冥想状态的认知状态潜在生物标志物的前景,并研究了跨衰老以及在诸如阿尔茨海默病、帕金森病、抑郁症、注意力缺陷多动障碍等临床状况下特质水平测量的偏差。我们还解决了网络估计和功能连接的可靠性问题,并分享了将功能连接测量用作认知健康生物标志物的建议。