GLM: First level analysis

These are examples focused on showcasing first level models functionality and single subject analysis.

See Analyzing fMRI using GLMs for more details.

Analysis of an fMRI dataset with a Finite Impule Response (FIR) model

Analysis of an fMRI dataset with a Finite Impule Response (FIR) model

Default Mode Network extraction of ADHD dataset

Default Mode Network extraction of ADHD dataset

Example of MRI response functions

Example of MRI response functions

Example of surface-based first-level analysis

Example of surface-based first-level analysis

Examples of design matrices

Examples of design matrices

First level analysis of a complete BIDS dataset from openneuro

First level analysis of a complete BIDS dataset from openneuro

Generate an events.tsv file for the NeuroSpin localizer task

Generate an events.tsv file for the NeuroSpin localizer task

Predicted time series and residuals

Predicted time series and residuals

Simple example of two-runs fMRI model fitting

Simple example of two-runs fMRI model fitting

Single-subject data (two runs) in native space

Single-subject data (two runs) in native space

Understanding parameters of the first-level model

Understanding parameters of the first-level model