Literature DB >> 17853137

Accuracy of clinical neuropsychological versus statistical prediction in the classification of seizure types.

Jamison D Fargo1, Bruce K Schefft, Jerzy P Szaflarski, Steven R Howe, Hwa-Shain Yeh, Michael D Privitera.   

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.

Entities:  

Mesh:

Year:  2008        PMID: 17853137     DOI: 10.1080/13854040701220093

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


  2 in total

1.  The Personality Assessment Inventory as a tool for diagnosing psychogenic nonepileptic seizures.

Authors:  Alexander W Thompson; Nathan Hantke; Vaishali Phatak; Naomi Chaytor
Journal:  Epilepsia       Date:  2009-06-01       Impact factor: 5.864

Review 2.  Symptom and Performance Validity Assessment in European Countries: an Update.

Authors:  Thomas Merten; Brechje Dandachi-FitzGerald; Vicki Hall; Thomas Bodner; Luciano Giromini; Johann Lehrner; Héctor González-Ordi; Pablo Santamaría; Ben Schmand; Giuseppe Di Stefano
Journal:  Psychol Inj Law       Date:  2021-11-24
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.