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This study (Part 3) is designed to build a database including EEG, neurocognitive performance, clinical symptoms, history and other relevant data, which will be used to derive a multimodal EEG based algorithm for the identification of concussion and tracking of recovery.
Full description
Injured/concussed subjects will be studied at time of injury, and at 3 follow-up time points following injury. Subjects will come from the sports and other populations of concussed individuals. They will be matched with controls i.e. not head injured subjects who will also undergo the same set of tests and the same time intervals as the injured subjects. An additional pool of uninjured (not head injured) subjects will be collected who will be assessed at a single time point. This data will be used to populate a database for the purpose of deriving a multimodal concussion index.
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Inclusion criteria
For Injured subjects:
For Matched Controls:
Exclusion criteria
For Injured subjects:
For Matched Controls:
268 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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