Dynamic Causal Modeling
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
A Bayesian framework for analyzing effective connectivity between brain regions, that is, the directed causal influence one region exerts on another. A state-space model specifies candidate connections, and parameters are estimated by fitting observed time series collected under controlled perturbations, with model evidence used to compare competing structures. The key qualification is that the causal claim depends on the model's assumed structure and on the experimental design: without perturbation or temporal ordering, correlation cannot be promoted to direction. Functional connectivity and effective connectivity must not be conflated.
SCAFFOLDING EFFECT
Reduce cognitive load
- Structure specification: write down the candidate nodes and directed connections before fitting. - Perturbation design: collect time series under controlled input so direction can be identified. - Model comparison: compare competing structures on evidence rather than accepting the first fit.
Anchor fast decisions
Two regions that act together produce correlated signals regardless of which one drives the other, so correlation alone cannot identify direction. Direction becomes identifiable when an external input perturbs the system and the timing of the responses reveals which region leads. Bayesian model comparison then weighs competing connection structures by how well each explains the observed data, so the causal claim is a relative judgment among specified alternatives rather than an absolute fact.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more
Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Dynamic_causal_modelingverified
PRIVATE NOTES · Only visible to you
SAVED Q&A
ENTRY Q&A · Private saving available
Ask with a clear boundary
thinkingmodels answers from published entry context only.
Your question is sent to thinkingmodels. The answer uses public entry context only.
RELATED MODELS