MEG

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! We combined #MEG, #fMRI and #MRI for #BrainAge prediction & #biomarker development. Each modality added unique information & enhanced brain-behavior mapping! https://t.co/iCLYKsuUWY Thread👇 pic.twitter.com/dNEMlGnqXe — Denis A. Engemann (@dngman) May 19, 2020

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states

For a high-level presentation of the main findings check-out our OHBM 2020 Poster. Or visit this Twitter thread: Excited to share our paper @NeuroImage_EiC by @DavSabbagh with @PierreAblin @GaelVaroquaux @agramfort https://t.co/ke0wO8aqwk Nonlinear subject-level regression on M/EEG using linear models without source localization: theory + empirical benchmarks Thread👇 pic.twitter.com/0vevsO3UmG — Denis A. Engemann (@dngman) May 18, 2020

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

Emergence of β and γ networks following multisensory training

MNE: Software for Acquiring, Processing,and Visualizing MEG/EEG Data

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic’s Markdown slides feature. Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --

Semantic coding in the occipital cortex of early blind individuals

Encoding and Decoding Neuronal Dynamics: Methodological Framework to Uncover the Algorithms of Cognition

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic’s Markdown slides feature. Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --

A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic’s Markdown slides feature. Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --

Autoreject: Automated artifact rejection for MEG and EEG data

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic’s Markdown slides feature. Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --

Assessing and tuning brain decoders: cross-validation, caveats, and guidelines

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic’s Markdown slides feature. Supplementary notes can be added here, including [code and math](https://sourcethemes.com/academic/docs/writing-markdown-latex/). --