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Sensitivity and specificity of an eye movement tracking-based biomarker for concussion
Uzma Samadani1,2,3,1,2,3, Meng Li3,3, Meng Qian3,3
1Department of Neurosurgery, New York Harbor Health Care System, NY, USA.
Object:
The purpose of the current study is to determine the sensitivity and specificity of an eye tracking method as a classifier for identifying concussion.
Methods:
Brain injured and control subjects prospectively underwent both eye tracking and Sport Concussion Assessment Tool 3. The results of eye tracking biomarker based classifier models were then validated against a dataset of individuals not used in building a model. The area under the curve (AUC) of receiver operating characteristics was examined.
Results:
An optimal classifier based on best subset had an AUC of 0.878, and a cross-validated AUC of 0.852 in CT- subjects and an AUC of 0.831 in a validation dataset. The optimal misclassification rate in an external dataset (n = 254) was 13%.
Conclusion:
If one defines concussion based on history, examination, radiographic and Sport Concussion Assessment Tool 3 criteria, it is possible to generate an eye tracking based biomarker that enables detection of concussion with reasonably high sensitivity and specificity.
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