A new tool called PhenoBench standardizes data analysis for traumatic brain injury (TBI), enabling researchers to identify patient subgroups for personalized care. The study aims to provide tailored treatments that improve recovery and reduce long-term consequences of TBI.
Researchers identify distinct functional connectivity patterns in brain circuits using EEG, enabling subtyping of patients independent of clinical diagnosis. These patterns can predict treatment outcomes, with some subtypes responding better to psychotherapy or medication while others benefit from non-invasive TMS treatment.
Researchers aim to create personalized brain signatures for effective PTSD treatment using biomarkers and functional MRI scans. The study will track 160 veterans receiving psychotherapy to evaluate the predictive value of cognitive biomarkers.