SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data
Tim Schmidt,
Zoltán Nagy
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.
Materials and methods
The proposed SAD method employs a Bi-LST… Show more
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