What is HED?

HED (Hierarchical Event Descriptors) is a framework for systematically describing both laboratory and real-world events. HED tags are comma-separated path strings. The goal of HED is to describe precisely the nature of the events of interest occurring in an experiment using a common language, so that the following two things can be accomplished. First, you and/or other researchers can better understand the experience and responses of the participant. Secondly, data analysis and meta-analysis can more easily and flexibly compare events (and responses to events) across datasets and studies to better isolate common “cognitive aspects”.

The HED framework has been developed for neurological imaging data (e.g., EEG, MEG, iEEG, fMRI), physiological (e.g., ECG, EMG, GSR) as well as multimodal experiment (e.g., mobile brain/body imaging). HED has been adopted as part of the BIDS (http://bids.neuroimaging.io) standard for brain imaging.The HED standards group maintains the HED schema and tools at https://github.com/hed-standard.

HED 2G and HED 3G

HED is currently undergoing a significant revision (HED 3G or HED third generation) so that it can better capture not only a basic description of the events, but also event relationship to task intent. The redesigned schema can be viewed at HED 3G viewer.

HED online tools

Several online HED tools are currently available:

Additional online tools are under development. All code is open-source and available in the hed-python repository on Github. For more information on HED, visit the documentation page.