brain age

A reusable benchmark of brain-age prediction from M/EEG resting-state signals

To get an overview on the paper, consider this Twitter thread: 📢🥁💫Our latest benchmarks of #BrainAge prediction from #MEG #EEG is out in @NeuroImage_EiC https://t.co/w1fxeTBB3j. #BIDS pipeline, 4 datasets, >2500 recordings, #DeepLearning & classical #MachineLearning; @mne_news & Braindecode.

Population modeling with machine learning can enhance measures of mental health

Would you like to know more about the background and context of this work? Please consider the Q/A with me published in this blog by Hans Zauner for GigaScience. You may also be interested in this press-release.

Combining magnetoencephalography with MRI enhances learning of surrogate-biomarkers

For a plain English summary, consider the eLife digest by Helena Perez Valle. To get an overview on the paper, consider this Twitter thread: I am very excited to share our latest work published in @eLife!

brain age

A reusable benchmark of brain-age prediction from M/EEG resting-state signals

Population modeling with machine learning can enhance measures of mental health

Combining magnetoencephalography with MRI enhances learning of surrogate-biomarkers

Manifold-regression to predict from MEG/EEG brain signals without source modeling