Interaction Information Along Lifespan of the Resting Brain Dynamics Reveals a Major Redundant Role of the Default Mode Network
Borja Camino‐Pontes, Ibai Palacio Diez, Antonio Jiménez-Marín, Javier Rasero, Asier Erramuzpe, P. Bonifazi, Sebastiano Stramaglia, Stephan Patrick Swinnen, Jesús M. Cortés
Entropy September 28, 2018 DOI: 10.3390/e20100742 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Peer reviewed |
|---|---|
| Topics | Default mode network |
| Citations | 26 |
| Key points | Reports that high redundancy in brain networks overlaps with the default mode network and is preserved across the lifespan, while high synergy overlaps with cognitive domains such as spatial and temporal memory, emotion processing, and motor skills. The authors interpret a robust balance between redundancy and synergy across age intervals as indicating informational compensatory mechanisms in brain networks. |
Abstract
Interaction Information (II) generalizes the univariate Shannon entropy to triplets of variables, allowing the detection of redundant (R) or synergetic (S) interactions in dynamical networks. Here, we calculated II from functional magnetic resonance imaging data and asked whether R or S vary across brain regions and along lifespan. Preserved along lifespan, we found high overlapping between the pattern of high R and the default mode network, whereas high values of S were overlapping with different cognitive domains, such as spatial and temporal memory, emotion processing and motor skills. Moreover, we have found a robust balance between R and S among different age intervals, indicating informational compensatory mechanisms in brain networks.