Recurrent neural network-based acute concussion classifier using raw resting state EEG data.

ABSTRACT: Concussion is a global health concern. Despite its high prevalence, a sound understanding of the mechanisms underlying this type of diffuse brain injury remains elusive. It is, however, well established that concussions cause significant functional deficits; that children and youths are disproportionately affected and have longer recovery time than adults; and that individuals suffering from a concussion are more prone to experience additional concussions, with each successive injury increasing the risk of long term neurological and mental health complications. Currently, the most significant challenge in concussion management is the lack of objective, clinically- accepted, brain-based approaches for determining whether an athlete has suffered a concussion. Here, we report on our efforts t

SUBMITTER: Thanjavur K 

PROVIDER: S-EPMC8196170 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature