Moving magnetoencephalography towards real-world applications with a wearable system

OPM-MEG (Magnetoencephalography) | Brainbox

OPM-MEG (Optically Pumped Magnetometers- Magnetoencephalography (MEG) is a brand new non-invasive technology for imaging brain function in real-time with several advantages over traditional MEG

Synchron — Still you.

We build implantable Brain-Computer Interfaces to protect what makes you human.

brainlife

The platform allows to analyze Magnetic Resonance Imaging (MRI), electroencephalography (EEG) and magnetoencephalography (MEG) data. Data can either be uploaded from local computers or imported from public archives such as OpenNeuro.org. Over 400+ data processing Apps are available on brainlife.io to build custom data workflows. Thousands of jobs can be submitted using shared clusters or on users' compute resource. Users can perform group-level statistical analysis or apply machine learning methods using Jupyter notebooks. A single record containing the entire data workflow (from raw data to published figures) can be published addressed by with a unique digital object identifier (DOI).

The brain in the machine: How AI could help explain how we think | IBM

Scientists are using large AI models to predict patterns of brain activity at scale, a development that researchers say is pushing neuroscience toward a new kind of digital imaging.

Cerca OPM-MEG Home

The Cerca OPM-MEG system is the world’s most advanced functional brain scanner – an integrated lightweight, ergonomic and wearable device that will offer an unparalleled window on human brain function, in health and disease.

Motif Neurotech — Therapeutic Brain Computer Interface For Mental Health

We're building devices to help you monitor and regulate your mental health and performance.

Data Hosting & Sharing: The Open MEG Archive (OMEGA)

Welcome to the Open MEG Archive (OMEGA) The Open MEG Archive (OMEGA) is the fruit of a collaboration between the McConnell Brain Imaging Centre (BIC) of the Montreal Neurological Institute-Hospital

Inventing the future: A neuroscience research roadmap

The past decade of transformative advances in neurotechnology portends an exciting future for neuroscience. This NeuroView charts a strategic path to accelerate and integrate research discovery and speed the development of new cures for human brain disorders.

Synaptrix Labs | AI powered Brain-computer interface Solutions

Introducing Neuralis by Synaptrix Labs, the first device that allows paralyzed patients to move their wheelchairs through brain activity alone, powered by our novel AI based EEG signal processing model that makes it possible.

Foundation Model Predicts Brain Responses to Visual and Auditory Stimuli | Elisa Cascardi posted on the topic | LinkedIn

Thrilled to share this work with the world! Today, we're releasing a foundation model that predicts how the human brain responds to almost any sight or sound -- and replace the need for human scans to significantly fast-track neuroscience and clinical research. 🧠 With this model, we can simulate brain responses to advance our understanding of the brain -- without the need for costly human brain scans 🌐 By using improved understanding of how efficient our brains perceive the world around us, we can guide the development of more advanced AI systems 👩‍⚕️ With computer-simulated experimentation, we can now speedup clinical research to diagnose neurological diseases and find treatments faster We've open sourced the model and code for researchers to use and build on, and an interactive demo for you to learn more -- see below! 📄 Paper: https://lnkd.in/e7cbunJp 💻 Code: https://lnkd.in/ebwBVuJp ▶️ Demo: https://lnkd.in/eEUVxP4S 🤗 Model: https://lnkd.in/e2T8nPJP So thrilled to be a part of this team with Stéphane d'Ascoli Jean-Rémi King Jérémy RAPIN Yohann Benchetrit Teon Brooks Katelyn Begany Joséphine Raugel Hubert Banville and for the great teamwork with Diego Marcos Dominic Giardini bringing this research to life! #neuroscience #AI #aiforscience #opensource #neuroAI

Massively Scalable Neurotechnologies

Backed by £50m, this programme sits within the Scalable Neural Interfaces opportunity space and is seeking radically new ways to deliver responsive neurotechnologies to the brain without brain surgery.

Theta Neurotech | Wearable Seizure Prediction Technology

Theta Neurotech is a Chicago-based neurotechnology company developing a wearable EEG-based seizure prediction system. Founded in 2022, preparing for clinical trials.

Virtual brain twins for stimulation in epilepsy

Estimating the epileptogenic zone network (EZN) is an important part of the diagnosis of drug-resistant focal epilepsy and has a pivotal role in treatment and intervention. Virtual brain twins provide a modeling method for personalized diagnosis and treatment. They integrate patient-specific brain topography with structural connectivity from anatomical neuroimaging such as magnetic resonance imaging, and dynamic activity from functional recordings such as electroencephalography (EEG) and stereo-EEG (SEEG). Seizures show rich spatial and temporal features in functional recordings, which can be exploited to estimate the EZN. Stimulation-induced seizures can provide important and complementary information. Here we consider invasive SEEG stimulation and non-invasive temporal interference stimulation as a complementary approach. This paper offers a high-resolution virtual brain twin framework for EZN diagnosis based on stimulation-induced seizures. It provides an important methodological and conceptual basis to make the transition from invasive to non-invasive diagnosis and treatment of drug-resistant focal epilepsy.

ABILITY | Restoring Communication Through Brain-Computer Interfaces

ABILITY Neuro - Restoring communication through next-generation brain-computer interfaces

UK Patent Filed for Hair-Inclusive EEG Electrode by Synaptive | Synaptive posted on the topic | LinkedIn

Big news from us 🎉 We've just filed a United Kingdom patent application on our hair-inclusive EEG electrode, the first step in taking this from prototype to something that actually reaches the labs and people who need it. For too long, EEG hardware has quietly excluded people based on hair type. Thick, coily, tightly curled, if your hair didn't fit the mould, your signal quality suffered, or you were excluded from studies altogether. That's not a small technical footnote. That's data that shapes diagnoses, treatments, and our understanding of the brain itself, built on a foundation that didn't include everyone. We built Synaptive to fix that at the hardware level, so good signal doesn't depend on who you are or what your hair looks like. Filing the patent is a huge milestone for us, and we're only getting started. If you're a researcher, lab, or manufacturer interested in electrodes that actually work for everyone, reach out on our website (synaptiveltd.co.uk). Thank you to everyone who's backed us on this journey so far ❤️ Synaptive : ) Rishan P. Peter Bryan Michael-Merlin (Merlin) Krý