This workshop delves into the need for, structure of, tools for, and use of hierarchical event descriptor (HED) annotation to prepare neuroimaging time series data for storing, sharing, and advanced analysis. HED are a controlled vocabulary of terms describing events in a machine-actionable form so that algorithms can use the information without manual recoding. HED annotation can be used to describe any experimental events by combining information from the dataset's _events.tsv files and _events.json sidecars. This workshop was held as the ninth and final session of INCF's Neuroinformatics Assembly 2023.
Session 9: Event Annotation in Neuroimaging Using HED: From Experiment to Analysis
Course Features
Videos
Lectures
Tutorial
Lessons of this Course
1
1
Speaker:
Video coming soon.
2
2
Duration:
33:36
Speaker:
This lecture provides a detailed description of how to incorporate HED annotation into your neuroimaging data pipeline.
3
3
Duration:
23:29
Speaker:
In this lesson you will learn about current efforts towards integrating multimodal human brain data using the open source SCORE HED library schema.
4
4
Duration:
22:52
Speaker:
This talk covers the differences between applying HED annotation to fMRI datasets versus other neuroimaging practices, and also introduces an analysis pipeline using HED tags.
