Accuracy of Clinical Neuropsychological Versus Statistical Prediction in the Classification of Seizure Types

Authors

Jamison D. Fargo, Utah State UniversityFollow
Bruce K. Schefft, University of CincinnatiFollow
Jerzy P. Szaflarski, University of Cincinnati
Steven R. Howe, University of Cincinnati
Hwa-Shain Yeh, University of Cincinnati
Michael D. Privitera, University of Cincinnati

Document Type

Article

Journal/Book Title/Conference

The Clinical Neuropsychologist

Volume

22

Issue

2

Publisher

Taylor & Francis

Publication Date

4-9-2008

First Page

181

Last Page

194

Abstract

Many studies have reported on the pattern of neuropsychological test performance across varied seizure diagnosis populations. Far fewer studies have evaluated the accuracy of the clinical neuropsychologist in formulating an impression of the seizure diagnosis based on results of neuropsychological assessment, or compared the accuracy of clinical neuropsychological judgment to results of statistical prediction. Accuracy of clinical neuropsychological versus statistical prediction was investigated in four seizure classification scenarios. While both methods outperformed chance, accuracy of clinical neuropsychological classification was either equivalent or superior to statistical prediction. Results support the utility and validity of clinical neuropsychological judgment in epilepsy treatment settings.

Comments

Originally published by Taylor & Francis. Publisher's PDF and HTML fulltext available through remote link.

Recommended Citation

Fargo, Jamison D. , Schefft, Bruce K. , Szaflarski, Jerzy P. , Howe, Steven R. , Yeh, Hwa-Shain and Privitera, Michael D. (2007) 'Accuracy of Clinical Neuropsychological Versus Statistical Prediction in the Classification of Seizure types', The Clinical Neuropsychologist, 22:2, 181 - 194.