Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 359-368 |
| Number of pages | 10 |
| Journal | Biological Psychiatry: Cognitive Neuroscience and Neuroimaging |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2025 |
Bibliographical note
Publisher Copyright:© 2025 Society of Biological Psychiatry
Keywords
- Attention
- Brain networks
- Functional connectivity
- Meditation
- Mental health
- Resting-state fMRI
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Cognitive Neuroscience
- Clinical Neurology
- Biological Psychiatry