How to localize functions in the cerebellum
Introduction to functional regions of the cerebellum. Learn how to use a functional atlas of the cerebellum to define your regions of interest, map them precisely in the individual and study cerebellar function.
How to classify ICA components
Independent Component Analysis (ICA) can identify patterns in fMRI data. Some of the components reflect BOLD signal and others are driven by noise. This post explains how to identify signal components and noise components in your data.
How to clean fMRI data with FIX-ICA
In resting-state fMRI processing we often apply Independent Component Analysis to clean the data from noise. Automated approaches for ICA-based cleaning can automatically label components as noise or signal, but often need to be trained on data-specific labels. This post explains how to train an automated ICA component classifier and use it to denoise fMRI data.
How to analyse semantic speech networks
Tutorial on how to anlayze semantic speech networks with netts. Guide on basic and advanced network measures netts can calculate to explore the structure of networks.
How to create semantic speech networks
Tutorial on how to create semantic speech networks with netts. Step-by-step guide on how to set up netts, install dependencies. Walks through generating a single network from speech and generating many networks from a database of speech samples.
How to represent speech as a network
Brief introduction to the speech network algorithm ‘netts’, an NLP package for analysing the content of natural speech using graph theory.
How to explore functional data
During the Western Brainhack 2022, we built a Functional Atlas Explorer. The web-based app allows the user to explore functional regions in the cerebellum. Selecting a cerebellar regions gives a task profile (which functions is this region involved in?) and a connectivity profile (which cortical regions are functionally connected to this cerebellar region?).
