Brendan Parsons, Ph.D., BCN’s Post

"Unlocking the brain's truth: Using EEG to accurately catch а lie?" The OpenBCI released a new study to show a promising 72% accuracy. Interesting! A good EEG cap for you to discover the unbounded possibilities.

Dear Colleagues, here is an example of 20 channels EEG #artifacts correction with rASR (Riemannian Modification of Artifact Subspace Reconstruction) technique. First 20 seconds is calibration period, then blue signal is corrected one. I'm so much impressed by this method, actively use it in my art&science project (#minddrawplay) in real-time with mobile 4-channels neurointerface (#BrainBit). It efficiently allows to eliminate short artifacted areas (blinks, muscle movements) by substitution with interpolation based on properties of EEG signal derived from calibration time. The implementation is in C++ and based on modification of original method presented in paper (Blum et al., 2019, Frontiers, https://lnkd.in/dKF8kgGN). I see this technique as a significant part in EEG signal processing, especially, for mobile EEG devices, because it provides with more robust and high quality signal. Definitely, there are many points to investigate, such as influence of calibration signal and model parameters on the correction as well as spectral properties in the corrected areas.

Are you running EEG-fMRI experiments and struggling with MR trigger signals? You're not alone—and Brain Products is here to help. 📣 Our latest support article dives deep into this common pain point in EEG-fMRI setups: understanding and optimizing trigger signals from MR devices. 🔍 What you'll learn: - How to determine the nature of triggers - Why precise timing is critical for artifact correction - How to use the TriggerBox (Plus) and bit stretcher effectively - Best practices for configuration Whether you're a seasoned researcher or just getting started with EEG-fMRI, this guide will help you avoid common pitfalls and set up your #BrainAmp MR system with confidence. 📘 Read the full article by Dr. Alex Kreilinger & Dr. Cilia Jäger: https://lnkd.in/d-CvXrB2 #EEGfMRI #BrainAmp MR #Neuroimaging #TriggerBox #ResearchTips

We often describe being in a state of flow as "being in the zone." But what if it's actually the result of how our brains are wired to perform at their best? Flow is a neurocognitive shift, where the brain moves from slow, deliberate thinking to fast, automatic processing, providing: ✅ Enhanced focus ✅ Reduced self-doubt ✅ Time distortion ✅ Increased performance and creativity What’s fascinating is that flow isn’t just for athletes or artists—it’s measurable, reproducible, and applicable to knowledge work. From EEG data to brain stimulation research (like tDCS), science is helping to decode how to enter this state more reliably—and even train for it. ♻️ Subscribe to my monthly newsletter, Mind Matters: Subscribe on LinkedIn: https://lnkd.in/dUUJCQrj ♻️ Follow Mind Alchemy on LinkedIn: https://lnkd.in/eHHmRqHM The content of this post is for informational purposes only and does not constitute professional advice. 

Entry two of GABA's Long-Term Potentiation: Founder's Series on Neural Mechanics. Cerebellar circuits provide an intriguing avenue for theoretical BCI integration.

🧠 𝗘𝗘𝗚 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 - 𝗙𝗶𝗿𝘀𝘁 𝗪𝗲𝗲𝗸 𝗨𝗽𝗱𝗮𝘁𝗲 🧠 One week since the EEG Foundation Challenge warmup phase started on #Codabench, we are thrilled to share a few metrics and provide additional resources: 🔥 736 𝘁𝗲𝗮𝗺𝘀 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿𝗲𝗱 already for the competition! And it’s just week one! We are on track to become the #first competition on the Codabench platform! 🌟 𝗦𝘁𝗮𝗿𝘁-𝗸𝗶𝘁 𝗻𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝘀 were released for a smooth onboarding; Arnaud Delorme recorded a great walk-through video, available on YouTube: https://lnkd.in/etXYaXdS 💬 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: We created a Discord server to centralise all communications https://lnkd.in/eHfac2ug You can use it to find additional team members, to discuss your ongoing issues, and simply to connect with the neuroscience community 🤗  With this Discord server up, we will close the Codabench forum. — 𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗘𝗘𝗚 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 — The EEG foundation challenge is a NeurIPS 2025 Competition inviting the #MachineLearning and #Neuroscience communities to tackle two groundbreaking challenges in EEG decoding: 🎯 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 1: Cross-Task Transfer Learning Predict behavioral performance from active tasks using passive EEG data Push the boundaries of how models generalize across cognitive paradigms 🎯 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 2: Subject-Invariant Psychopathology Prediction • Develop robust representations that work across different subjects • Predict clinical factors from EEG across multiple experimental conditions 📊 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗴𝗲𝘁: • HBN-EEG dataset: 3,000+ participants across 6 cognitive tasks • BIDS-formatted data with comprehensive behavioral & clinical measures • Starter kits to get you up and running quickly 🏆 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗽𝗿𝗶𝘇𝗲𝘀 𝗮𝘄𝗮𝗶𝘁: • $2,500 cash prizes for top 3 teams (thanks Meta!) • Spotlight talks at NeurIPS 2025 Workshop • Full travel & registration coverage • Recognition at the premier ML conference #NeurIPS2025 #EEG #BrainComputerInterface #FoundationModels #Neurotechnology #Competition Organizing team: Bruno A., Pierre Guetschel, Seyed (Yahya) Shirazi, Young Truong, Sylvain Chevallier, Arnaud Delorme Advising and Oversight: Isabelle Guyon, Alexandre Franco, Michael Milham, Alexandre Gramfort, Jean-Rémi King, scott makeig, Alan Evans, Pedro A. Valdes-Sosa, Terrence Sejnowski, Oren Shriki, Aviv Dotan, Amit Majumdar, Marie-Constance Corsi

CtenoLab Benchmark Results We have completed the first benchmark tests of CtenoLab, evaluating timing accuracy and synchronization in browser-based experiments. Key results: - Visual stimulus presentation achieved sub-millisecond precision - Stable synchronization with external EEG/BCI hardware via WebUSB and WebSerial - Consistent reproducibility across multiple devices and environments These results confirm that CtenoLab can reliably support timing-critical paradigms for motor imagery, neurofeedback, and hybrid BCI research. Detailed results can be explored here: https://lnkd.in/e_vu5v3y #Neuroscience #BCI #Benchmarking #Research #Innovation

💡 New publication! Very happy to share this one, it has been long in the making. Please find the full article here: https://lnkd.in/eKYVjNFf, and the infographic below. 🔎 In summary, we tested automatic imitation to gain insight into the extent to which children with DCD construct internal representations of movement. We found, contrary to our expectations, stronger automatic imitation effects in children with DCD. And, using EEG we discovered delayed visual processing of bodily stimuli in DCD. 👋 Please reach out if you would like to discuss these findings!

🏥 Stanford’s Inner Speech BCI Shows Patients Want More Than Accuracy Stanford University School of Medicine researchers have demonstrated a brain-computer interface that decodes inner speech, silently imagined words, into text in real time. Reported in Cell Press, the study involved participants with ALS and stroke, who preferred inner speech over attempted speech for being less tiring, faster, and more discreet. The work highlights a new dimension in the BCI race: usability. While the main BCI players have focused on attempted-speech decoding, Stanford’s results suggest that patient comfort may prove just as decisive as accuracy benchmarks. The team also introduced safeguards, such as keyword unlocking, to prevent unintended decoding, an important example of ethical design built directly into BCI technology. #Neurotech #BCI #BrainComputerInterface #Neuroscience #DeepTech #BrainTech #Stanford

𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗶𝗻𝗴 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗖𝘁𝗲𝗻𝗼𝗟𝗮𝗯: 𝗪𝗵𝘆 𝗘𝘃𝗲𝗿𝘆 𝗠𝗶𝗹𝗹𝗶𝘀𝗲𝗰𝗼𝗻𝗱 𝗖𝗼𝘂𝗻𝘁𝘀 In real-time BCI systems, latency isn’t just a metric—it defines usability. Our benchmarks show USB and Serial round-trip latencies averaging ~1.02 ms, with the 95th percentile at 1.1 ms. Outliers extend up to 8 ms, which can affect synchronization in neurophysiological experiments. Minimizing jitter and understanding percentile behavior are critical to deliver reliable stimuli and capture precise neural responses. 🔗 Explore the paradigms: https://lnkd.in/e4J7uGD7 #BrainComputerInterface #Latency #Neurotechnology #RealTimeSystems #EEG #Cteno