Research Reports - Scalp EEG-based discrimination of cognitive deficits after traumatic brain injury

IEEE Trans Biomed Eng. 2012 Oct 10

McBride J, Zhao X, Nichols T, Vagnini V, Munro N, Berry D, Jiang Y

Traumatic brain injury (TBI) is the leading cause of death and disability in
children and adolescents in the United States. This is a pilot study, which
explores the discrimination of chronic TBI from normal controls using scalp EEG
during a memory task. Tsallis entropies are computed for responses during an
old-new memory recognition task. A support vector machine model is constructed to
discriminate between normal and moderate/severe TBI individuals using Tsallis
entropies as features. Numerical analyses of 30 records (15 normal and 15 TBI)
show a maximum discrimination accuracy of 93% (p-value=7.8557E-5) using 4
features. These results suggest the potential of scalp EEG as an efficacious
method for noninvasive diagnosis of TBI.

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