EEG and MEG techniques represent two of the most powerful non-invasive methods for measuring brain activity with high temporal precision. While electroencephalography (EEG) captures voltage fluctuations produced by neuronal electrical currents, magnetoencephalography (MEG) records magnetic fields generated by synchronized neural activity. Together, they provide complementary insights into the brain’s functional organization and real-time dynamics.

The EEG and MEG Techniques session explores their applications in cognitive neuroscience, clinical diagnostics, and brain-computer interface development. These tools are indispensable in studying sensory processing, attention, memory, and motor control. In clinical settings, EEG and MEG help localize epileptogenic zones, evaluate cortical function, and monitor neurodegenerative progression.

At the EEG and MEG Conference, leading researchers present innovations in sensor technology, source localization algorithms, and multimodal data fusion. Emerging wearable MEG systems and high-density EEG arrays are expanding accessibility beyond specialized laboratories. Combined analysis of EEG–MEG data provides unprecedented spatial-temporal resolution for mapping brain connectivity and synchronization.

This session attracts neuroscientists, neuroengineers, clinicians, and computational modelers aiming to decode neural oscillations and brain-network interactions. Discussion topics also include advances in artifact removal, signal deconvolution, and AI-assisted classification of neurological states.

Progress in Neurophysiology Research continues to integrate EEG and MEG with imaging modalities like fMRI and PET, transforming both experimental and translational neuroscience.