EEG-IntraMap: A Tool for Predicting Intracranial Neural Activity from Noninvasive EEG for Applications in Psychiatry

Stanford researchers have developed a technology that predicts deep brain activity from standard scalp EEG recordings. The system enables non-invasive monitoring of subcortical brain regions previously accessible only through surgical implants, with applications in treatment response prediction and precision medicine for psychiatric and neurological disorders.

Unlike conventional methods, the system non-invasively monitors subcortical brain regions previously accessible only through surgical implants, capturing neural oscillations in deep structures that other non-invasive technologies cannot detect. More accessible and cost-effective than fMRI or MEG, this technology has significant applications in treatment response prediction and precision medicine for psychiatric and neurological disorders. It represents a major advancement over competing technologies like standard EEG source localization, fMRI, and MEG.