Before revision:  Incorporating these alterations in a classification framework, we found that patients and controls are linearly separable with 81.3\% accuracy and 83.3\% sensitivity .
After revision:  Incorporating these alterations in a logistic regression model, we computed the decision boundary that discriminated patients and controls are linearly separable with 81.3\% accuracy and 83.3\% sensitivity .