Interaction Information Along Lifespan of the Resting Brain Dynamics Reveals a Major Redundant Role of the Default Mode Network.
Borja Camino-PontesIbai DiezAntonio Jimenez-MarinJavier RaseroAsier ErramuzpePaolo BonifaziSebastiano StramagliaStephan SwinnenJesus M CortesPublished in: Entropy (Basel, Switzerland) (2018)
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.
Keyphrases
- resting state
- functional connectivity
- magnetic resonance imaging
- white matter
- cerebral ischemia
- autism spectrum disorder
- computed tomography
- heart rate
- heart rate variability
- health information
- multiple sclerosis
- machine learning
- blood pressure
- social media
- density functional theory
- label free
- network analysis
- subarachnoid hemorrhage
- loop mediated isothermal amplification