NERI — The neuroelectromagnetic (NEM) imaging — fMRI binder

[juchiyu]

Background: fMRI and NEM (EEG, MEG, ECoG/iEEG) form two complementary modes of assessing the brain. Common knowledge suggests that fMRI has better spatial resolution, while EEG and MEG have better temporal resolution. Both modalities are needed to understand the brain!

Recent years have seen an extensive expansion of open science efforts, particularly in the fields of psychological and cognitive neuroscience. In particular, open science datasets that can be downloaded and used by researchers worldwide have become one of the primary avenues for conducting open science, maintaining a high level of transparency, and addressing the reproducibility crisis.

Currently, most of the efforts in the open science neuroimaging community are directed towards the fMRI modality. However, as stated above, NEM is an inseparable part of open science.

Project aim: To develop a tool that tags NEM and fMRI open datasets in various repositories together. Using this tool, members of the open science community will obtain suggestions for NEM datasets using similar paradigms when they are interested in using an fMRI dataset (and vice versa). Thus, researchers using open science to study a specific aspect of brain activity will immediately and conveniently have access to both these inseparable aspects of the brain under this condition – the time sensitivity and the spatial sensitivity. The researcher would be able to analyze these two datasets together and gain a deeper understanding of the brain.