SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data.
Journal:
Magma (New York, N.Y.)
PMID:
39207582
Abstract
OBJECTIVE: Despite the prevalent use of the general linear model (GLM) in fMRI data analysis, assuming a pre-defined hemodynamic response function (HRF) for all voxels can lead to reduced reliability and may distort the inferences derived from it. To overcome the necessity of presuming a specific model for the hemodynamic response, we introduce a semi-supervised automatic detection (SAD) method.