New research from Eleonora Tamilia and colleague (first author Georgios Ntolkeras) shows that a noninvasive technique combining EEG readings, MRI data, and machine learning can identify the most epileptogenic brain regions much faster than previous methods which required multiple days of invasive monitoring.

A lot is unknown about how brain circuits develop and mature in babies and toddlers. Carol Wilkinson shares new data on developmental trajectories of EEG activity from 0-3 years—revealing age-dependent, nonlinear changes in periodic alpha and beta brain waves that are suggestive of distinct milestones in circuit maturation.

The development of new, safe, and effective treatment options for neuropsychiatric illness has been very challenging. Brian Kangas, Bill Carlezon and Diego Pizzagalli share new work aiming to accelerate progress in this critical research area, with the development of behavioral and neural testing methods in rats designed to have high concordance to methods used in clinical patient populations.

BCH Vector Blog post highlighting work from the labs of Michela Fagiolini at HMS/Boston Children's Hospital, Hui Fang at Northeastern University and colleagues on innovation in EEG technologies.