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.

Generate an events.tsv file for the NeuroSpin localizer task

Generate an events.tsv file for the NeuroSpin localizer task

Example of explicit fixed effects fMRI model fitting

Example of explicit fixed effects fMRI model fitting

Default Mode Network extraction of ADHD dataset

Default Mode Network extraction of ADHD dataset

Examples of design matrices

Examples of design matrices

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

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

Single-subject data (two sessions) in native space

Single-subject data (two sessions) in native space

Example of MRI response functions

Example of MRI response functions

Simple example of two-session fMRI model fitting

Simple example of two-session fMRI model fitting

Predicted time series and residuals

Predicted time series and residuals

First level analysis of a complete BIDS dataset from openneuro

First level analysis of a complete BIDS dataset from openneuro

Example of surface-based first-level analysis

Example of surface-based first-level analysis

Understanding parameters of the first-level model

Understanding parameters of the first-level model