2. Nistats usage examples

Warning

If you want to run the examples, make sure you execute them in a directory where you have write permissions, or you copy the examples into such a directory. If you install nistats manually, make sure you have followed the instructions.

2.1. Tutorial examples

These are examples with detailed explanations to showcase how to perform an fMRI first and second level analysis in arbitrary datasets and BIDS datasets.

Analysis of a single session, single subject fMRI dataset

Studying first-level-model details in a trials-and-error fashion

2.2. First level analysis examples

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

Example of explicit fixed effects fMRI model fitting

Default Mode Network extraction of AHDH dataset

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

Single-subject data (two sessions) in native space

Simple example of two-session fMRI model fitting

First level analysis of a complete BIDS dataset from openneuro

Predicted time series and residuals

Example of surface-based first-level analysis

2.3. Second level analysis examples

These are examples focused on showcasing second level models functionality and group level analysis.

Second-level fMRI model: true positive proportion in clusters

Second-level fMRI model: a two-sample test

Statistical testing of a second-level analysis

Voxel-Based Morphometry on Oasis dataset

Second-level fMRI model: one sample test

Example of generic design in second-level models

2.4. Low level function examples

These are examples focused on showcasing low level functionality like design matrix creation, HRF functions and others.

Example of second level design matrix

Example of hemodynamic reponse functions.

Example of a events.tsv file generation: the neurospin/localizer events.

Examples of design matrices

2.5. Complete examples

Complete step-by-step examples, including First and Second Level Models.

BIDS dataset first and second level analysis

Surface-based dataset first and second level analysis of a dataset

Decoding of a dataset after glm fit for signal extraction