A DCM for resting state fMRI
Wellcome Centre for Human Neuroimaging · National Hospital for Neurology and Neurosurgery · +2 more institutions
Abstract
This technical note introduces a dynamic causal model (DCM) for resting state fMRI time series based upon observed functional connectivity--as measured by the cross spectra among different brain regions. This DCM is based upon a deterministic model that generates predicted crossed spectra from a biophysically plausible model of coupled neuronal fluctuations in a distributed neuronal network or graph. Effectively, the resulting scheme finds the best effective connectivity among hidden neuronal states that explains the observed functional connectivity among haemodynamic responses. This is because the cross spectra contain all the information about (second order) statistical dependencies among regional dynamics.…
Citation impact
- FWCI
- 9.56
- Percentile
- 100%
- References
- 44
Authors
4- KFKarl FristonCorresponding
Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery, University College London
- JKJoshua Kahan
National Hospital for Neurology and Neurosurgery, University College London
- BBBharat B. Biswal
Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery, University College London
- ARAdeel Razi
NED University of Engineering and Technology, Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery, University College London
Topics & keywords
- Resting state fMRI
- Functional connectivity
- Computer science
- Construct (python library)
- Graph
- Face validity
- Neuroscience
- Artificial intelligence