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Original article| Volume 49, 102770, April 2021

Does cognitive training improve attention/working memory in persons with MS? A pilot study using the Cogmed Working Memory Training program

Published:January 16, 2021DOI:https://doi.org/10.1016/j.msard.2021.102770

      Highlights

      • Cogmed Working Memory Training (CWMT) has the potential to improve attention in persons with MS
      • As a secondary effect, CWMT has the potential to improve mood symptoms
      • CWMT's effect on the Color-Word test is likely due to training gains transferred to a similar task
      • No significant cognitive changes were observed in the treatment as usual group

      Abstract

      Background

      Cognitive deficits, especially in attention, are common in persons with MS (PwMS) and are associated with clinically meaningful outcomes, such as work disability and lower quality of life (QOL). In this study, we aimed to determine whether Cogmed Working Memory Training (CWMT) improves attention/working memory in PwMS displaying impairment in these domains.

      Methods

      This single blind, randomized controlled, pilot study compared the effects of CWMT, a five-week evidenced-based computer-assisted training program that is supported by weekly meetings with a coach, to standard medical care (treatment as usual). We recruited PwMS from one MS center (London (ON) Canada), aged 18-64, with an Expanded Disability Status Scale (EDSS) score of ≤ 7.0, and a visual acuity (corrected) of at least 20/70. Potential subjects had to demonstrate impaired attention on at least two of three measures (Paced Auditory Serial Addition Test [PASAT], Symbol Digit Modalities Test [SDMT], and/or DKEFS Color-Word Interference Test); these measures also served as the primary study outcomes. Subjects were randomized to either the CWMT or treatment as usual. Secondary cognitive outcomes included other measures of attention, memory, as well as a self-reported cognitive function measure. Self-reported measures of mood (depression and anxiety), pain, and QOL were also included as other secondary outcomes. Subjects received assessments at baseline, post-treatment, and 6-month follow-up, or an equivalent time period for the treatment as usual group. The two groups were compared at baseline on background measures using independent samples t-tests, Chi-Square tests, and Mann-Whitney U tests. To analyze primary and secondary outcomes, a non-parametric approach was used due the small sample size and that many of our outcomes did not meet assumptions for parametric analyses. Friedman's test was conducted followed by post hoc pairwise comparisons within each group using Wilcoxon Signed-Rank tests with Bonferroni corrected post hoc contrasts, which allowed us to examine for differences between time points.

      Results

      Of 30 subjects, 15 were assigned to CWMT. Significant training effects were noted in 1 of 3 primary attentional outcomes (DKEFS Color-Word Interference Test), 2 of 3 secondary attentional outcomes (Letter-Number Sequencing, Digit Span), and 1 mood scale (Hospital Anxiety and Depression scale (HADS) - Depression Subscale), ps < .025. No significant changes were observed in the treatment as usual group.

      Conclusion

      This pilot study demonstrates that cognitive training with CWMT has the potential to improve attention/working memory in PwMS, as well as a potential positive effect on mood, in PwMS. Further exploration of this intervention in PwMS with attention/working memory impairment is warranted.

      Keywords

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      References

        • Alschuler KN
        • Jensen M.P.
        • Ehde D.M.
        Defining mild, moderate, and severe pain in persons with multiple sclerosis.
        Pain Medicine. 2012; 13: 1358-1365https://doi.org/10.1111/j.1526-4637.2012.01471.x
        • Amato M.P.
        • et al.
        Cognitive dysfunction in early-onset multiple sclerosis: a reappraisal after 10 years.
        Archives of Neurology. 2001; 58: 1602-1606
        • Arnett PA
        • Higginson CI
        • Voss WD
        • et al.
        Depressed mood in multiple sclerosis: relationship to capacity-demanding memory and attentional functioning.
        Neuropsychology. 1999; 13: 434-446https://doi.org/10.1037//0894-4105.13.3.434
        • Beck AT
        • Steer R.A.
        • Brown G.K.
        BDI-Fast Screen for medical patients:manual.
        Psychological Corporation, San Antonio, TX2000
        • Benedict RH
        • DeLuca J
        • Phillips G
        • et al.
        Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis.
        Mult Scler. 2017; 23: 721-733https://doi.org/10.1177/1352458517690821
        • Benedict RH
        • Fischer JS
        • Archibald CJ
        • et al.
        Minimal neuropsychological assessment of MS patients: a consensus approach.
        Clin Neuropsychol. 2002; 16: 381-397https://doi.org/10.1076/clin.16.3.381.13859
        • Benedict RH
        • Munschauer F
        • Linn R
        • et al.
        Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire.
        Mult Scler. 2003; 9: 95-101https://doi.org/10.1191/1352458503ms861oa
        • Benedict RH
        • Wahlig E
        • Bakshi R
        • et al.
        Predicting quality of life in multiple sclerosis: accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change.
        J Neurol Sci. 2005; 231: 29-34https://doi.org/10.1016/j.jns.2004.12.009
        • Carver CS.
        You want to measure coping but your protocol's too long: consider the brief COPE.
        Int J Behav Med. 1997; 4: 92-100https://doi.org/10.1207/s15327558ijbm0401_6
        • Cerasa A
        • Gioia MC
        • Valentino P
        • et al.
        Computer-assisted cognitive rehabilitation of attention deficits for multiple sclerosis: a randomized trial with fMRI correlates.
        Neurorehabil Neural Repair. 2013; 27: 284-295https://doi.org/10.1177/1545968312465194
        • Chafetz MD
        • Williams MA
        • Ben-Porath YS
        • et al.
        Official Position of the American Academy of Clinical Neuropsychology Social Security Administration Policy on Validity Testing: Guidance and Recommendations for Change.
        Clin Neuropsychol. 2015; 29: 723-740https://doi.org/10.1080/13854046.2015.1099738
        • Chiaravalloti ND
        • DeLuca J.
        Cognitive impairment in multiple sclerosis.
        Lancet Neurology. 2008; 7: 1139-1151https://doi.org/10.1016/S1474-4422(08)70259-X
        • Conway AR
        • Jarrold C.E.
        • Kane M.J.
        • Miyake A.
        • Towse J.N.
        Variation in working memory.
        Oxford University Press, 2007
        • Delis DC
        • Kaplan E.
        • Kramer J.H.
        Delis-Kaplan Executive Funcion System.
        Psychological Corporation., San Antonio2001
        • Detterman D.K.
        The case for the prosecution: Transfer as an epiphenomenon.
        Transfer on trial: Intelligence, cognition, and instruction. 1993; : 1-24
        • Feuillet L.
        • et al.
        Early cognitive impairment in patients with clinically isolated syndrome suggestive of multiple sclerosis.
        Mult Scler. 2007; 13: 124-127
        • Filippi M
        • Riccitelli G
        • Mattioli F
        • et al.
        Multiple sclerosis: effects of cognitive rehabilitation on structural and functional MR imaging measures–an explorative study.
        Radiology. 2012; 262: 932-940https://doi.org/10.1148/radiol.11111299
        • Glanz B.I.
        • et al.
        Cognitive dysfunction in patients with clinically isolated syndromes or newly diagnosed multiple sclerosis.
        Mult Scler. 2007; 13: 1004-1010
        • Goverover Y
        • Chiaravalloti ND
        • O'Brien AR
        • DeLuca J.
        Evidenced-Based Cognitive Rehabilitation for Persons With Multiple Sclerosis: An Updated Review of the Literature From 2007 to 2016.
        Arch Phys Med Rehabil. 2018; 99: 390-407https://doi.org/10.1016/j.apmr.2017.07.021
        • Hancock LM
        • Bruce JM
        • Bruce AS
        • Lynch SG.
        Processing speed and working memory training in multiple sclerosis: a double-blind randomized controlled pilot study.
        J Clin Exp Neuropsychol. 2015; 37: 113-127https://doi.org/10.1080/13803395.2014.989818
        • Honarmand K
        • Feinstein A.
        Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients.
        Mult Scler. 2009; 15: 1518-1524https://doi.org/10.1177/1352458509347150
        • Klingberg T.
        Training and plasticity of working memory.
        Trends Cogn Sci. 2010; 14: 317-324https://doi.org/10.1016/j.tics.2010.05.002
        • Krupp LB
        • LaRocca NG
        • Muir-Nash J
        • Steinberg AD.
        The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus.
        Arch Neurol. 1989; 46: 1121-1123https://doi.org/10.1001/archneur.1989.00520460115022
        • Kujala P.
        • Portin R
        • Ruutiainen J.
        The progress of cognitive decline in multiple sclerosis.
        Brain. 1997; 120: 289-297
        • Kurtzke JF.
        Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS).
        Neurology. 1983; 33: 1444-1452https://doi.org/10.1212/wnl.33.11.1444
        • Lussier M
        • Bugaiska A
        • Bherer L.
        Specific transfer effects following variable priority dual-task training in older adults.
        Restor Neurol Neurosci. 2017; 35: 237-250https://doi.org/10.3233/RNN-150581
        • Mattioli F
        • Stampatori C
        • Zanotti D
        • Parrinello G
        • Capra R.
        Efficacy and specificity of intensive cognitive rehabilitation of attention and executive functions in multiple sclerosis.
        J Neurol Sci. 2010; 288: 101-105https://doi.org/10.1016/j.jns.2009.09.024
        • Mitolo M
        • Venneri A
        • Wilkinson ID
        • Sharrack B.
        Cognitive rehabilitation in multiple sclerosis: A systematic review.
        J Neurol Sci. 2015; 354: 1-9https://doi.org/10.1016/j.jns.2015.05.004
        • Melby-Lervåg M.
        • Hulme C.
        Is working memory training effective? A meta-analytic review.
        Dev Psychol. 2013; 49: 270-291
        • Morrow SA.
        Normative data for the Stroop color word test for a North American population.
        Can J Neurol Sci. 2013; 40 (Nov): 842-847https://doi.org/10.1017/s0317167100015997
        • Parisi L
        • Rocca MA
        • Mattioli F
        • Copetti M
        • Capra R
        • Valsasina P
        • et al.
        Changes of brain resting state functional connectivity predict the persistence of cognitive rehabilitation effects in patients with multiple sclerosis.
        Mult Scler. 2013; 20: 686-694
        • Rao S.M.
        Neuropsychology of multiple sclerosis.
        Current Opinion in Neurology. 1995; 8: 216-220
        • Rao SM
        • Leo GJ
        • Bernardin L
        • Unverzagt F.
        Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction.
        Neurology. 1991; 41: 685-691https://doi.org/10.1212/wnl.41.5.685
        • Rao SM
        • Leo GJ
        • Ellington L
        • Nauertz T
        • Bernardin L
        • Unverzagt F.
        Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning.
        Neurology. 1991; 41: 692-696https://doi.org/10.1212/wnl.41.5.692
        • Sala G.
        • Gobet F.
        Does far transfer exist? Negative evidence from chess, music, and working memory training.
        Current Direction in Psychological Science. 2017; 26: 515-520https://doi.org/10.1177/0963721417712760
        • Schwid S.R.
        • et al.
        Cognitive function in relapsing multiple sclerosis: minimal changes in a 10-year clinical trial.
        J Neurol Sci. 2007; 255: 57-63
        • Shinaver 3rd CS
        • Entwistle PC
        • Soderqvist S.
        Cogmed WM training: reviewing the reviews.
        Appl Neuropsychol Child. 2014; 3: 163-172https://doi.org/10.1080/21622965.2013.875314
        • Simons D.J.
        • Boot W.R.
        • Charness N.
        • Gathercole S.E.
        • Chabris C.F.
        • Hambrick D.Z.
        • Stine-Morrow E.A.L.
        Do “brain-training” programs work?.
        Psychological Science in the Public Interest. 2016; 17: 103-186https://doi.org/10.1177/1529100616661983
        • Smith A.
        Symbol Digit Modalities Test: Manual.
        Western Psychological Services, Los Angeles1982
        • Solari Alessandra
        • et al.
        Computer-aided retraining of memory and attention in people with multiple sclerosis: a randomized, double-blind controlled trial.
        Journal of the neurological sciences. 2004; : 99-104
        • Sullivan JJL
        • Edgley K.
        • Dehoux E.
        A survey of multiple sclerosis. Part 1: Perceived cognitive problems and compensatory strategy use.
        Canadian Journal of Rehabilitation. 1990; 4: 99-105
        • Tesar N
        • Bandion K
        • Baumhackl U.
        Efficacy of a neuropsychological training programme for patients with multiple sclerosis—a randomised controlled trial.
        Wien Klin Wochenschr. 2005; 117: 747-754
        • Tombaugh TN.
        A comprehensive review of the Paced Auditory Serial Addition Test (PASAT).
        Arch Clin Neuropsychol. 2006; 21: 53-76https://doi.org/10.1016/j.acn.2005.07.006
        • Vickrey BG
        • Hays RD
        • Harooni R
        • Myers LW
        • Ellison GW.
        A health-related quality of life measure for multiple sclerosis.
        Qual Life Res. 1995; 4: 187-206https://doi.org/10.1007/BF02260859
        • Wechsler D.
        Wechsler Adult Intelligence Scale.
        3rd ed. 1997
        • Wechsler D.
        WMS-III Administration and Scoring Manual.
        1997
        • Wilson BA.
        • et al.
        BADS: Behavioural Assessment of the Dysexecutive Syndrome: Manual.
        1996
        • Wollesen B.
        • Voelcker-Rehage C.
        Training effects on motor–cognitive dual-task performance in older adults.
        Eur Rev Aging Phys Act. 2014; 11: 5-24https://doi.org/10.1007/s11556-013-0122-z