Study Shatters Assumptions About Brain Connectome Dynamics

New research utilizing advanced simultaneous EEG-fMRI tracking proved that the brain does not run a single process but instead coordinates multiple entirely separate asynchronous streams of information processing in parallel, according to a study from the Beckman Institute. Postdoctoral researcher Suhnyoung Jun, co-first author of the paper, said the findings debunk the long-held assumption that fMRI signals are merely a slowed-down version of EEG activity. Jun explained that the brain simultaneously tracks rapid phonetic sounds, slower word assembly, and overarching narrative meaning on independent parallel tracks, similar to language processing. The study validated the standalone diagnostic value of low-cost EEG by showing it captures unique high-fidelity connectome data independent of fMRI, which could benefit low-income clinics and patients unable to undergo MRI scans. Jun noted that recording clean EEG data inside a high-powered MRI machine required nearly five years of developing specialized safety protocols and data-cleaning algorithms to remove artifacts. The research, conducted at the Beckman Institute's Biomedical Imaging Center, also involved collaboration with datasets from Paris and the Minnesota Center for Twin and Family Research, including 443 participants. Jun said the work began after Thomas Alderson won an NSF grant and that access to the Beckman Institute's facilities was invaluable. The findings offer a new template to study how neurological and psychiatric conditions like dementia, aging, and autoimmune diseases such as HIV disrupt the brain's timing networks. Jun expressed hope that the research will help more patients and be used in translational work.