Victor Férat

Help my student @th-maya.bsky.social out by participating in her study if...
- your native language is English, French, or German 🐣
- you speak *any level* of the other two languages (classes at school count! 👩‍🏫)

Then thanks to the EEG recording, they can characterize the epilepsy and/or try to find which area of you brain is at the origin of the crisis.

Hello Matthew, I can tell you that it is not possible to induce epilepsy crisis with EEG. It can only monitor your brain. However, if one has epilepsy, people might want to induce an epileptic crisis by other means ( drug, stimuli, ect) in order to record brain activity during such events.

You can install and try it via PyPI: 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐠𝐞𝐝𝐚𝐢

This is our initial release, so feedback is very welcome. If you run into issues, feel free to reach out here or open an issue on #GitHub.
All contributions are welcome and will be acknowledged accordingly.

Return of the GEDAI: Unsupervised EEG Denoising based on Leadfield Filtering Current electroencephalogram (EEG) denoising methods struggle to remove the complex physiological and environmental artifacts typical of real-world settings, which both hinders the isolation of true n...

More details are available in our preprint: www.biorxiv.org/content/10.1...

GEDAI integrates seamlessly into the MNE-python pipeline and offers a new approach for handling artifacts in #EEG / #MEG data. A key difference from the MATLAB implementation is that the #Python version can also be easily used for real-time artifact correction !

Happy to share that our #Python implementation of GEDAI (Generalized Eigenvalue De-Artifacting Instrument) is now available 🐍 💻 🧠
neurotuning.github.io/gedai/dev/in...

Microstate-based Neurofeedback in Attention Deficit Hyperactivity Disorder Population: A Randomized Controlled Crossover Trial - Brain Topography Neurofeedback (NFB) therapy based on spectral neuromarkers of Attention-Deficit/Hyperactivity Disorder (ADHD) has faced challenges regarding its efficacy and replicability. In this study, we investiga...

Happy to share the last study of my PhD, now published in Brain Topography !
doi.org/10.1007/s105...

It might not be a THE breakthrough, but we provide encouraging results and a set of practical recommendations for using EEG microstates in neurofeedback paradigms

#eeg #neuroscience #neurofeedback

I don't know if it improves the quality of the thesis, but it helped me move forward.

From my point of view, this is the most difficult part of science... For my thesis, I made a very detailed plan (almost to the point where each sub-section was a sentence). Then I wrote a few sub-sections every day. This allowed me to quantify my progress and have clear small goals.

High-Density EEG Source Localisation of averaged interictal epileptic Discharges validated by surgical Outcome - Scientific Data Scientific Data - High-Density EEG Source Localisation of averaged interictal epileptic Discharges validated by surgical Outcome

Interested in Epileptic Discharges? In need of a data set to validate your source reconstruction models based on clinical outcome? Check out our newest: www.nature.com/articles/s41...
Big thanks to B. Vorderwülbecke, S. Vuillémoz et al. ! - @seeber.bsky.social @cibm.bsky.social

Any way to save these settings so that they are loaded by default when importing matplotlib ?

Also, about the splitting, what's the rationale for using the first 15 participants versus a random sample of 15? A random split would be more robust and reduce potential biases.

It’s always a good idea to share your analysis and to track changes, but as a reviewer, I wouldn’t necessarily take it as definitive proof of a "replication" analysis. In principle, anyone could analyze the full dataset offline and simply say they didn’t by publishing the part of the code they want

docs.astral.sh/uv/

Great resources! Thanks a lot for the time and energy put into this!

Introduction to EEG/MEG data analysis - YouTube Introduction to EEG/MEG data analysis playlist featuring multiple videos split into topics set out below. Presented by Olaf Hauk from the MRC CBU. EEG/MEG me...

I put some introductory #EEG / #MEG videos together, based on our introduction to #neuroimaging at the @mrccbu.bsky.social
: youtube.com/playlist?lis.... They should cover the most common aspects of EEG/MEG analysis, including pre-processing, source estimation and functional connectivity.

+ they ask us to subscribe to mailing list in the process 🙃

On my side: Reviewer Assignment since September 13th

Nice job @cbrnr.bsky.social !

To demystify things, she doesn't control her computer with EEG (i.e. signal coming from the brain). She simply contracts her jaw muscles. These muscles create a much stronger electrical signal (EMG) than the one generated by the brain. The algorithm therefore detects only the muscle contractions.

228 healthy participants with Raw and preprocessed EEG recordings ( + MRI, behavior, phenotype)

fcon_1000.projects.nitrc.org/indi/retro/M...

MNE-BIDS ?

New #brain modality: #EEG on scalp 😊

Temporary tattoo printed directly on the scalp offers easy, hair-friendly solution for measuring brainwaves
www.cell.com/cell-biomate...

#neuroskyence and #openscience folks! We have starter pack putting together the intersection if these two groups, have a look, subscribe, and if you want to be added, reply to this or send us a DM!

go.bsky.app/NUfsakW