Why discarded brain 'noise' matters: Overlooked networks may reshape mental health treatment

Scientists who use imaging to understand the brain's complexity often focus on the strongest signals and ignore the rest. But this strategy, researchers warn, may reveal only the tip of the iceberg. A study published in Nature Human Behavior reveals that connections routinely overlooked as "noise" during neuroimaging data analysis can predict behavior with remarkable accuracy—and implicate entirely different brain networks. The finding could open many new targets for treating psychiatric illness, the researchers say.