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Researchers Use High Density EEG to Produce Dynamic Image of Brain Signal Source

Marking a major milestone on the path to meeting the goals of the NIH BRAIN initiative, research by Carnegie Mellon’s Biomedical Engineering Department Chief Bin He advances high-density electroencephalography (EEG) as the future paradigm for dynamic functional neuroimaging.

Researchers Use High Density EEG to Produce Dynamic Image of Brain Signal Source

The NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative motivates researchers to generate a revolutionary new dynamic image of the brain that, for the first time, exhibits how individual cells and complex neural circuits interact in each time and space.

An ideal technique for useful human brain imaging—one of the initiative’s top priorities—would depict brain exercise with a high temporal resolution, high spatial resolution, and extensive spatial coverage.

Carnegie Mellon’s He has made a major leap ahead for the field of practical neuroimaging. An NIH-funded study lasting several years and analyzing dozens of patients with epilepsy has produced a novel supply imaging technology that makes use of high-density EEG recordings to map underlying brain networks.

Featured in Nature Communications, this research is a huge step towards establishing the ability to dynamically image human brain function and dysfunction. This could present essential insight into each where and how underlying information-processing occurs.

EEG has long been one of the most efficient functional strategies available for human brain mapping.