General Linear Model¶

Coming soon

This page is currently under construction. The glm module provides a general linear model implementation for stimulus-evoked and task-based fUSI analysis.

First-level analysis:

• FirstLevelModel: Estimate a first-level GLM from fUSI data.
• make_first_level_design_matrix: Create a design matrix from stimulus onset times and timing parameters.

Second-level analysis:

• SecondLevelModel: Estimate a second-level (group) GLM.
• make_second_level_design_matrix: Create a design matrix for group analysis.

Contrasts:

• Contrast: Define and compute contrasts for statistical inference.

HRF models:

• gamma_difference_hrf: Base double-gamma HRF model with customizable parameters.
• glover_hrf: Glover canonical HRF.
• spm_hrf: SPM canonical HRF.
• gamma_hrf: Single-gamma HRF without undershoot (suitable for fUSI).
• inverse_gamma_hrf: Inverse gamma HRF model.
• verhoef2025_hrf: Human fUSI HRF preset (Verhoef et al., 2025).
• claron2021_hrf: Rodent spinal cord fUSI HRF preset (Claron et al., 2021).

Please refer to the API Reference for more information.