https://www.selleckchem.com/
000000, r = 0.6) and theta power (p less then 0.0001, r = 0.4), and relative delta power (p less then 0.00001) and decreased relative alpha power (p less then 0.001). Absolute delta and theta power together yielded the strongest machine learning classification accuracy (87.6%). Changes in absolute power were moderately correlated with duration and persistence of symptoms in the slow wave frequency spectrum ( less then 15 Hz). (4) Conclusions Distributed increases in slow wave oscillatory power are concurrent with post-concussive syndrome and chronic pain.Pr
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