A lite parametric model for the Hemodynamic Response Function
This work addresses a specific bottleneck in fMRI data analysis for researchers, but it appears incremental as it builds on existing HRF models with a focus on parameter reduction.
The paper tackles the problem of estimating the BOLD response in task-related fMRI data by proposing a lite parametric model for the Hemodynamic Response Function (HRF), which reduces the number of parameters compared to similar alternatives, thereby lowering optimization complexity and facilitating applications.
When working with task-related fMRI data, one of the most crucial parts of the data analysis consists of determining a proper estimate of the BOLD response. The following document presents a lite model for the Hemodynamic Response Function HRF. Between other advances, the proposed model present less number of parameters compared to other similar HRF alternative, which reduces its optimization complexity and facilitates its potential applications.