Literature DB >> 25616360

Memory and selective attention in multiple sclerosis: cross-sectional computer-based assessment in a large outpatient sample.

Georg Adler1, Yvonne Lembach.   

Abstract

Cognitive impairments may have a severe impact on everyday functioning and quality of life of patients with multiple sclerosis (MS). However, there are some methodological problems in the assessment and only a few studies allow a representative estimate of the prevalence and severity of cognitive impairments in MS patients. We applied a computer-based method, the memory and attention test (MAT), in 531 outpatients with MS, who were assessed at nine neurological practices or specialized outpatient clinics. The findings were compared with those obtained in an age-, sex- and education-matched control group of 84 healthy subjects. Episodic short-term memory was substantially decreased in the MS patients. About 20% of them reached a score of only less than two standard deviations below the mean of the control group. The episodic short-term memory score was negatively correlated with the EDSS score. Minor but also significant impairments in the MS patients were found for verbal short-term memory, episodic working memory and selective attention. The computer-based MAT was found to be useful for a routine assessment of cognition in MS outpatients.

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Year:  2015        PMID: 25616360     DOI: 10.1007/s00406-015-0574-4

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  24 in total

1.  Memory impairment in multiple sclerosis: a quantitative review.

Authors:  A E Thornton; N Raz
Journal:  Neuropsychology       Date:  1997-07       Impact factor: 3.295

2.  [Computer-based assessment of memory and attention: evaluation of the memory and attention test (MAT)].

Authors:  Georg Adler; Miriam Bektas; Martina Feger; Yvonne Lembach
Journal:  Psychiatr Prax       Date:  2011-12-21

3.  Verbal episodic memory in 426 multiple sclerosis patients: impairment in encoding, retrieval or both?

Authors:  H Brissart; E Morele; C Baumann; M Debouverie
Journal:  Neurol Sci       Date:  2012-01-13       Impact factor: 3.307

4.  Processing speed interacts with working memory efficiency in multiple sclerosis.

Authors:  Jean Lengenfelder; Deborah Bryant; Bruce J Diamond; Jessica H Kalmar; Nancy B Moore; John DeLuca
Journal:  Arch Clin Neuropsychol       Date:  2006-03-27       Impact factor: 2.813

Review 5.  Assessment of cognitive dysfunction in multiple sclerosis.

Authors:  Eric Sartori; Gilles Edan
Journal:  J Neurol Sci       Date:  2006-05-05       Impact factor: 3.181

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

Authors:  H A Demaree; J DeLuca; E A Gaudino; B J Diamond
Journal:  J Neurol Neurosurg Psychiatry       Date:  1999-11       Impact factor: 10.154

Review 7.  Cognitive impairment in multiple sclerosis: evidence-based analysis and recommendations.

Authors:  Jeffrey M Rogers; Peter K Panegyres
Journal:  J Clin Neurosci       Date:  2007-07-30       Impact factor: 1.961

8.  PASAT in detecting cognitive impairment in relapsing-remitting MS.

Authors:  Eija Rosti; Paivi Hämäläinen; Keijo Koivisto; Laura Hokkanen
Journal:  Appl Neuropsychol       Date:  2007

9.  Cognitive impairment and its relation with disease measures in mildly disabled patients with relapsing-remitting multiple sclerosis: baseline results from the Cognitive Impairment in Multiple Sclerosis (COGIMUS) study.

Authors:  F Patti; M P Amato; M Trojano; S Bastianello; M R Tola; B Goretti; L Caniatti; E Di Monte; P Ferrazza; V Brescia Morra; S Lo Fermo; O Picconi; G Luccichenti
Journal:  Mult Scler       Date:  2009-07       Impact factor: 6.312

10.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

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  4 in total

1.  DGPPN guideline on anxiety disorders and cognitive dysfunction in the elderly or patients with multiple sclerosis.

Authors:  Andrea Schmitt; Peter Falkai
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-08       Impact factor: 5.270

2.  The Relationship between Psychosocial Factors and Cognition in Multiple Sclerosis.

Authors:  Fahad D Alosaimi; Alaa AlMulhem; Mario Moscovici; Hanan AlShalan; Mohammad Alqazlan; Abdulgader Aldaif; Sanjeev Sockalingam
Journal:  Behav Neurol       Date:  2017-05-06       Impact factor: 3.342

3.  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

Review 4.  Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review.

Authors:  Elizabeth S Gromisch; Aaron P Turner; Jodie K Haselkorn; Albert C Lo; Thomas Agresta
Journal:  JAMIA Open       Date:  2020-12-15
  4 in total

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