Denis A. Engemann
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  • Improving brain-age modeling through joint modeling from MRI, fMRI and MEG
  • Summary
  • Citation

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

paper
published
neuroscience
MRI
M/EEG
multimodal
machine learning
brain age
Author

Engemann, Denis Alexander, Oleh Kozynets, David Sabbagh, Guillaume Lemaitre, Gaël Varoquaux, Franziskus Liem, and Alexandre Gramfort

Published

May 19, 2020

Improving brain-age modeling through joint modeling from MRI, fMRI and MEG

Summary

For a plain English summary, consider the eLife digest by Helena Perez Valle.

To get an overview on the paper, consider this Twitter thread:

This Twitter thread summarizes the work and walks you through the main findings.

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Citation

@article{engemann2020combining,
  title={Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers},
  author={Engemann, Denis A and Kozynets, Oleh and Sabbagh, David and Lema{\^\i}tre, Guillaume and Varoquaux, Gael and Liem, Franziskus and Gramfort, Alexandre},
  journal={Elife},
  volume={9},
  pages={e54055},
  year={2020},
  publisher={eLife Sciences Publications, Ltd}
}