bioRxivJClub
Embodied Dynamic Causal Modelling: Brain and Cardiac Effective Connectivity
bioRxiv · · Preprint · Open access
Levy, Zeidman + 2 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Embodied Dynamic Causal Modelling with the Brainstem Cardiac Network estimates directed effective connectivity across the cortical–brainstem–cardiac axis using a closed-loop neural mass model.
- Why it matters: Brain–body communication is key for interoception and mental health, but existing approaches either collapse interactions into scalar summaries or lack an invertible biophysical model to localize where effects originate.
- What they did: The framework formalizes hierarchical message passing across the brain–body axis and instantiates it for brain–heart interactions with five brainstem nuclei, a viscerosensory thalamic relay, and sinoatrial node dynamics, jointly inverting EEG and ECG during an auditory Go/No-Go task.
- The result: The case study shows the model can arbitrate between competing cytoarchitectural hypotheses and recover time-varying synaptic efficacy with continuous latent neuronal dynamics over anticipation, target processing, and motor inhibition windows.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.
- Open access