Temporal meta-states are associated with differential patterns of dynamic connectivity, network topology and attention
arXiv:1601.05065 · doi:10.1073/pnas.1604898113
Abstract
Little is currently known about the coordination of neural activity over longitudinal time-scales and how these changes relate to behavior. To investigate this issue, we used resting-state fMRI data from a single individual to identify the presence of two distinct temporal states that fluctuated over the course of 18 months. We then demonstrated that these temporal states were associated with distinct neural dynamics within individual scanning sessions. In addition, the temporal states were also related to significant alterations in global efficiency, as well as differences in self-reported attention. These patterns were replicated in a separate longitudinal dataset, providing further supportive evidence for the presence of fluctuations in functional network topology over time. Together, our results underscore the importance of longitudinal phenotyping in cognitive neuroscience.
7 pages, 5 figures
References in corpus (4)
Cited by in corpus (10)
- Developmental increases in white matter network controllability support a growing diversity of brain dynamics
- Topological Principles of Control in Dynamical Network Systems
- Fluctuations between high- and low-modularity topology in time-resolved functional connectivity
- Autism Classification Using Brain Functional Connectivity Dynamics and Machine Learning
- Dynamic Reconfiguration of Brain Functional Network in Stroke
- Dynamic Graph Metrics: Tutorial, Toolbox, and Tale
- Partially Linear Additive Gaussian Graphical Models
- Joint Nonparametric Precision Matrix Estimation with Confounding
- Consensus clustering approach to group brain connectivity matrices
- Flexibility of brain regions during working memory curtails cognitive consequences to lack of sleep