Literature DB >> 12708806

The utility of computerized neuropsychological assessment of cognitive dysfunction in patients with relapsing-remitting multiple sclerosis.

J A Wilken1, R Kane, C L Sullivan, M Wallin, J B Usiskin, M E Quig, J Simsarian, C Saunders, H Crayton, R Mandler, D Kerr, D Reeves, K Fuchs, C Manning, M Keller.   

Abstract

Traditional paper-and-pencil neuropsychological batteries used to document cognitive deficits in multiple sclerosis (MS) patients lack timing precision. This makes it difficult to accurately measure psychomotor slowing, a central cognitive symptom of MS. Additionally, traditional batteries lack multiple alternate forms necessary to control for practice effects when assessing cognition over time. Finally such batteries are lengthy and expensive. Computerized neuropsychological batteries address many of these shortcomings. They measure response time more precisely, require less administration time, include alternate forms, and are ideal for rapid screening/triage. Although there are normative data on the reliability and validity of computerized measures, there have been no controlled validation studies with MS patients. The current study was designed to validate a computerized neuropsychological battery (ANAM) for use with relapsing-remitting (RR) MS patients. Prior to initiation of interferon-beta-1a (Avonex) treatment, subjects participated in a neuropsychological evaluation consisting of traditional and computerized measures. Moderate-to-high correlations were found between computerized and traditional measures. Computerized tests accurately predicted performance on key traditional tests. The battery was also concordant with traditional measures in identifying RR MS patients with and without neurocognitive impairment. Findings are discussed with respect to increased accuracy and accessibility of neuropsychological evaluations for MS patients.

Entities:  

Mesh:

Year:  2003        PMID: 12708806     DOI: 10.1191/1352458503ms893oa

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  9 in total

1.  Performance of the Automated Neuropsychological Assessment Metrics (ANAM) in detecting cognitive impairment in heart failure patients.

Authors:  Susan S Xie; Carly M Goldstein; Emily C Gathright; John Gunstad; Mary A Dolansky; Joseph Redle; Joel W Hughes
Journal:  Heart Lung       Date:  2015 Sep-Oct       Impact factor: 2.210

2.  Is neuropsychological testing useful in the management of sport-related concussion?

Authors:  Christopher Randolph; Michael McCrea; William B Barr
Journal:  J Athl Train       Date:  2005 Jul-Sep       Impact factor: 2.860

3.  Improvement of neuropsychological function in cognitively impaired multiple sclerosis patients treated with natalizumab: a preliminary study.

Authors:  Keith R Edwards; William A Goodman; Carl Y Ma
Journal:  Int J MS Care       Date:  2012

4.  Changes in Fatigue and Cognition in Patients with Relapsing Forms of Multiple Sclerosis Treated with Natalizumab: The ENER-G Study.

Authors:  Jeffrey Wilken; Robert L Kane; Cynthia L Sullivan; Mark Gudesblatt; Sylvia Lucas; Robert Fallis; Xiaojun You; Pam Foulds
Journal:  Int J MS Care       Date:  2013

5.  Athlete characteristics and outcome scores for computerized neuropsychological assessment: a preliminary analysis.

Authors:  Cathleen N Brown; Kevin M Guskiewicz; Joseph Bleiberg
Journal:  J Athl Train       Date:  2007 Oct-Dec       Impact factor: 2.860

6.  Assessment of cognitive function in systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis by computerized neuropsychological tests.

Authors:  John G Hanly; Antonina Omisade; Li Su; Vernon Farewell; John D Fisk
Journal:  Arthritis Rheum       Date:  2010-05

7.  Cognitive impairment in relapsing remitting and secondary progressive multiple sclerosis patients: efficacy of a computerized cognitive screening battery.

Authors:  Athanasios Papathanasiou; Lambros Messinis; Vasileios L Georgiou; Panagiotis Papathanasopoulos
Journal:  ISRN Neurol       Date:  2014-03-13

8.  Computerized neuropsychological assessment devices in multiple sclerosis: A systematic review.

Authors:  Curtis M Wojcik; Meghan Beier; Kathleen Costello; John DeLuca; Anthony Feinstein; Yael Goverover; Mark Gudesblatt; Michael Jaworski; Rosalind Kalb; Lori Kostich; Nicholas G LaRocca; Jonathan D Rodgers; Ralph Hb Benedict
Journal:  Mult Scler       Date:  2019-10-22       Impact factor: 6.312

9.  Validation of the automated neuropsychological assessment metrics for assessing cognitive impairment in systemic lupus erythematosus.

Authors:  Kimberley Yuen; Dorcas Beaton; Kathleen Bingham; Patricia Katz; Jiandong Su; Juan Pablo Diaz Martinez; Maria Carmela Tartaglia; Lesley Ruttan; Joan E Wither; Mahta Kakvan; Nicole Anderson; Dennisse Bonilla; May Y Choi; Marvin J Fritzler; Robin Green; Zahi Touma
Journal:  Lupus       Date:  2021-12-27       Impact factor: 2.911

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.