Probabilistic modeling of single-trial fMRI data.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 10782616.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
This paper describes a probabilistic framework for modeling single-trial functional magnetic resonance (fMR) images based on a parametric model for the hemodynamic response and Markov random field (MRF) image models. The model is fitted to image data by maximizing a lower bound on the log likelihood. The result is an approximate maximum a posteriori estimate of the joint distribution over the model parameters and pixel labels. Examples show how this technique can used to segment two-dimensional (2-D) fMR images, or parts thereof, into regions with different characteristics of their hemodynamic response.
Medical subject headings
- Brain
- Hemodynamics
- Magnetic Resonance Imaging
- Models, Statistical