Literature DB >> 10519876

Speed of information processing as a key deficit in multiple sclerosis: implications for rehabilitation.

H A Demaree1, J DeLuca, E A Gaudino, B J Diamond.   

Abstract

Speed of information processing was assessed in patients with multiple sclerosis and healthy controls using both an auditory and visual task designed to control for accuracy of performance across groups. After controlling for accuracy of performance, patients with multiple sclerosis were found to have significantly slower speed of information processing relative healthy controls, irrespective of the modality of stimulus presentation (auditory or visual). When given an adequate amount of time to process information, however, the patients performed similarly to controls. These results suggest that persons with multiple sclerosis experience deficits specifically in processing speed but not performance accuracy. Results are discussed in terms of rehabilitative guidelines for the cognitive improvement of persons with multiple sclerosis.

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Year:  1999        PMID: 10519876      PMCID: PMC1736611          DOI: 10.1136/jnnp.67.5.661

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  39 in total

1.  Does the scoring of late responses affect the outcome of the paced auditory serial addition task (PASAT)?

Authors:  Julie Balzano; Nancy Chiaravalloti; Jeannie Lengenfelder; Nancy Moore; John DeLuca
Journal:  Arch Clin Neuropsychol       Date:  2006-10-25       Impact factor: 2.813

2.  Aerobic fitness is associated with gray matter volume and white matter integrity in multiple sclerosis.

Authors:  Ruchika Shaurya Prakash; Erin M Snook; Robert W Motl; Arthur F Kramer
Journal:  Brain Res       Date:  2009-06-25       Impact factor: 3.252

3.  Determining the Presence of Reliable Change over Time in Multiple Sclerosis: Evidence from the PASAT, Adjusting-PSAT, and Stroop Test.

Authors:  Suzanne L Barker-Collo; Suzanne C Purdy
Journal:  Int J MS Care       Date:  2013

4.  Tests of information processing speed: what do people with multiple sclerosis think about them?

Authors:  Lisa A S Walker; Amy Cheng; Jason Berard; Lindsay I Berrigan; Laura M Rees; Mark S Freedman
Journal:  Int J MS Care       Date:  2012

5.  The less BOLD, the wiser: support for the latent resource hypothesis after traumatic brain injury.

Authors:  John D Medaglia; Kathy S Chiou; Julia Slocomb; Neal M Fitzpatrick; Britney M Wardecker; Deepa Ramanathan; Jeffrey Vesek; David C Good; Frank G Hillary
Journal:  Hum Brain Mapp       Date:  2011-05-17       Impact factor: 5.038

6.  NIH Toolbox Cognition Battery (NIHTB-CB): list sorting test to measure working memory.

Authors:  David S Tulsky; Noelle Carlozzi; Nancy D Chiaravalloti; Jennifer L Beaumont; Pamela A Kisala; Dan Mungas; Kevin Conway; Richard Gershon
Journal:  J Int Neuropsychol Soc       Date:  2014-06-24       Impact factor: 2.892

7.  Motor reaction time and accuracy in patients with multiple sclerosis: effects of an active computerized training program.

Authors:  Amir Dana; Saleh Rafiee; Amin Gholami
Journal:  Neurol Sci       Date:  2019-05-04       Impact factor: 3.307

8.  Developmental timing of exposure to elevated levels of phenylalanine is associated with ADHD symptom expression.

Authors:  Kevin M Antshel; Susan E Waisbren
Journal:  J Abnorm Child Psychol       Date:  2003-12

9.  NIH Toolbox Cognitive Battery (NIHTB-CB): the NIHTB Pattern Comparison Processing Speed Test.

Authors:  Noelle E Carlozzi; David S Tulsky; Nancy D Chiaravalloti; Jennifer L Beaumont; Sandra Weintraub; Kevin Conway; Richard C Gershon
Journal:  J Int Neuropsychol Soc       Date:  2014-06-24       Impact factor: 2.892

10.  Processing speed versus working memory: contributions to an information-processing task in multiple sclerosis.

Authors:  Helen M Genova; Jeannie Lengenfelder; Nancy D Chiaravalloti; Nancy B Moore; John DeLuca
Journal:  Appl Neuropsychol Adult       Date:  2012       Impact factor: 2.248

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