Computer-Based Cognitive Training for Executive Functions after Stroke: A Systematic Review

Renate M van de Ven, Jaap M J Murre, Dick J Veltman, Ben A Schmand, Renate M van de Ven, Jaap M J Murre, Dick J Veltman, Ben A Schmand

Abstract

Background: Stroke commonly results in cognitive impairments in working memory, attention, and executive function, which may be restored with appropriate training programs. Our aim was to systematically review the evidence for computer-based cognitive training of executive dysfunctions.

Methods: Studies were included if they concerned adults who had suffered stroke or other types of acquired brain injury, if the intervention was computer training of executive functions, and if the outcome was related to executive functioning. We searched in MEDLINE, PsycINFO, Web of Science, and The Cochrane Library. Study quality was evaluated based on the CONSORT Statement. Treatment effect was evaluated based on differences compared to pre-treatment and/or to a control group.

Results: Twenty studies were included. Two were randomized controlled trials that used an active control group. The other studies included multiple baselines, a passive control group, or were uncontrolled. Improvements were observed in tasks similar to the training (near transfer) and in tasks dissimilar to the training (far transfer). However, these effects were not larger in trained than in active control groups. Two studies evaluated neural effects and found changes in both functional and structural connectivity. Most studies suffered from methodological limitations (e.g., lack of an active control group and no adjustment for multiple testing) hampering differentiation of training effects from spontaneous recovery, retest effects, and placebo effects.

Conclusions: The positive findings of most studies, including neural changes, warrant continuation of research in this field, but only if its methodological limitations are addressed.

Keywords: acquired brain injury; attention; brain training; computer-based; executive functions; restitution; retraining; working memory.

Figures

Figure 1
Figure 1
PRISMA flow diagram (Moher et al., 2009) of study identification process.

References

    1. Akerlund E., Esbjornsson E., Sunnerhagen K. S., Björkdahl A. (2013). Can computerized working memory training improve impaired working memory, cognition and psychological health? Brain Inj. 27, 1649–1657. 10.3109/02699052.2013.830195
    1. Anguera J. A., Boccanfuso J., Rintoul J. L., Al-Hashimi O., Faraji F., Janowich J., et al. . (2013). Video game training enhances cognitive control in older adults. Nature 501, 97. 10.1038/nature12486
    1. Baddeley A. (1992). Working memory. Science 255, 556–559. 10.1126/science.1736359
    1. Bender R., Lange S. (2001). Adjusting for multiple testing - when and how? J. Clin. Epidemiol. 54, 343–349. 10.1016/S0895-4356(00)00314-0
    1. Björkdahl A., Akerlund E., Svensson S., Esbjornsson E. (2013). A randomized study of computerized working memory training and effects on functioning in everyday life for patients with brain injury. Brain Inj. 27, 1658–1665. 10.3109/02699052.2013.830196
    1. Chen S. H., Thomas J. D., Glueckauf R. L., Bracy O. L. (1997). The effectiveness of computer-assisted cognitive rehabilitation for persons with traumatic brain injury. Brain Inj. 11, 197–209. 10.1080/026990597123647
    1. Cicerone K. D., Langenbahn D. M., Braden C., Malec J. F., Kalmar K., Fraas M., Ashman T. (2011). Evidence-based cognitive rehabilitation: Updated review of the literature from 2003 through 2008. Arch. Phys. Med. Rehabil., 92, 519–530. 10.1016/j.apmr.2010.11.015
    1. Corbett A., Owen A., Hampshire A., Grahn J., Stenton R., Dajani S., et al. . (2015). The effect of an online cognitive training package in healthy older adults: an online randomized controlled trial. J. Am. Med. Dir. Assoc. 16, 990–997. 10.1016/j.jamda.2015.06.014
    1. Cruz V. T., Pais J., Alves I., Ruano L., Mateus C., Barreto R., et al. . (2014). Web-based cognitive training: patient adherence and intensity of treatment in an outpatient memory clinic. J. Med. Internet Res. 16, 130–140. 10.2196/jmir.3377
    1. Cumming T. B., Marshall R. S., Lazar R. M. (2013). Stroke, cognitive deficits, and rehabilitation: still an incomplete picture. Int. J. Stroke 8, 38–45. 10.1111/j.1747-4949.2012.00972.x
    1. Curran-Everett D. (2000). Multiple comparisons: philosophies and illustrations. Am. J. Physiol. Regul. Integr. Comp. Physiol. 279, R1–R8.
    1. del Ser T., Barba R., Morin M. M., Domingo J., Cemillan C., Pondal M., et al. . (2005). Evolution of cognitive impairment after stroke and risk factors for delayed progression. Stroke 36, 2670–2675. 10.1161/01.STR.0000189626.71033.35
    1. De Luca R., Calabro R. S., Gervasi G., De Salvo S., Bonanno L., Corallo F., et al. . (2014). Is computer-assisted training effective in improving rehabilitative outcomes after brain injury? A case-control hospital-based study. Dis. Health J. 7, 356–360. 10.1016/j.dhjo.2014.04.003
    1. Desmond D., Moroney J., Sano M., Stern Y. (1996). Recovery of cognitive function after stroke. Stroke 27, 1798–1803. 10.1161/01.STR.27.10.1798
    1. Dugard P., File P., Todman J. (2011). Single-Case and Small-N Experimental Designs: A Practical Guide to Randomization Tests, 2nd Edn. Hove; Sussex; New York: Routledge.
    1. Fernandez E., Bringas M. L., Salazar S., Rodriguez D., Garcia M. E., Torres M. (2012). Clinical impact of RehaCom software for cognitive rehabilitation of patients with acquired brain injury. MEDICC Rev. 14, 32–35. 10.1590/S1555-79602012000400007
    1. Gauggel S., Niemann T. (1996). Evaluation of a short-term computer-assisted training programme for the remediation of attentional deficits after brain injury: a preliminary study. Int. J. Rehabil. Res. 19, 229–239. 10.1097/00004356-199609000-00004
    1. Glickman M. E., Rao S. R., Schultz M. R. (2014). False discovery rate control is a recommended alternative to bonferroni-type adjustments in health studies. J. Clin. Epidemiol. 67, 850–857. 10.1016/j.jclinepi.2014.03.012
    1. Gray J. M., Robertson I., Pentland B., Anderson S. (1992). Microcomputer-based attentional retraining after brain damage: a randomised group controlled trial. Neuropsychol. Rehabil. 2, 97–115. 10.1080/09602019208401399
    1. Gronwall D. M. A. (1977). Paced auditory serial-addition task: measure of recovery from concussion. Percept. Mot. Skills 44, 367–373. 10.2466/pms.1977.44.2.367
    1. Hamzei F., Liepert J., Dettmers C., Weiller C., Rijntjes M. (2006). Two different reorganization patterns after rehabilitative therapy: an exploratory study with fMRI and TMS. Neuroimage 31, 710–720. 10.1016/j.neuroimage.2005.12.035
    1. Hauke J., Fimm B., Sturm W. (2011). Efficacy of alertness training in a case of brainstem encephalitis: clinical and theoretical implications. Neuropsychol. Rehabil. 21, 164–182. 10.1080/09602011.2010.541792
    1. Kelly C., Foxe J. J., Garavan H. (2006). Patterns of normal human brain plasticity after practice and their implications for neurorehabilitation. Arch. Phys. Med. Rehabil. 87, S20–S29. 10.1016/j.apmr.2006.08.333
    1. Kimberley T. J., Samargia S., Moore L. G., Shakya J. K., Lang C. E. (2010). Comparison of amounts and types of practice during rehabilitation for traumatic brain injury and stroke. J. Rehabil. Res. Dev. 47, 851–861. 10.1682/JRRD.2010.02.0019
    1. Kurland J., Baldwin K., Tauer C. (2010). Treatment-induced neuroplasticity following intensive naming therapy in a case of chronic wernicke's aphasia. Aphasiology 24, 737–751. 10.1080/02687030903524711
    1. Lampit A., Hallock H., Valenzuela M. (2014). Computerized cognitive training in cognitively healthy older adults: a systematic review and meta-analysis of effect modifiers. PLoS Med. 11:e1001756. 10.1371/journal.pmed.1001756
    1. Larson E. B., Feigon M., Gagliardo P., Dvorkin A. Y. (2014). Virtual reality and cognitive rehabilitation: a review of current outcome research. NeuroRehabilitation 34, 759–772. 10.3233/NRE-141078
    1. Lin Z., Tao J., Gao Y., Yin D., Chen A., Chen L. (2014). Analysis of central mechanism of cognitive training on cognitive impairment after stroke: Resting-state functional magnetic resonance imaging study. J. Int. Med. Res. 42, 659–668. 10.1177/0300060513505809
    1. Lundqvist A., Grundstrom K., Samuelsson K., Ronnberg J. (2010). Computerized training of working memory in a group of patients suffering from acquired brain injury. Brain Inj. 24, 1173–1183. 10.3109/02699052.2010.498007
    1. Maaijwee N. A. M. M., Schaapsmeerders P., Rutten-Jacobs L. C. A., Arntz R. M., Schoonderwaldt H. C., van Dijk E. J., et al. (2014). Subjective cognitive failures after stroke in young adults: prevalent but not related to cognitive impairment. J. Neurol. 261, 1300–1308. 10.1007/s00415-014-7346-3
    1. Man D. W. K., Soong W. Y. L., Tam S. F., HuiChan C. W. Y. (2006). Self-efficacy outcomes of people with brain injury in cognitive skill training using different types of trainer-trainee interaction. Brain Inj. 20, 959–970. 10.1080/02699050600909789
    1. Middleton L. E., Lam B., Fahmi H., Black S. E., McIlroy W. E., Stuss D. T., et al. . (2014). Frequency of domain-specific cognitive impairment in sub-acute and chronic stroke. NeuroRehabilitation 34, 305–312.
    1. Miyake A., Friedman N. P., Emerson M. J., Witzki A. H., Howerter A., Wager T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn. Psychol. 41, 49–100. 10.1006/cogp.1999.0734
    1. Moher D., Liberati A., Tetzlaff J., Altman D. G., The PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA Statement. PLoS Med. 6:e1000097. 10.1371/journal.pmed1000097
    1. Nordvik J. E., Schanke A., Walhovd K., Fjell A., Grydeland H., Landro N. I. (2012). Exploring the relationship between white matter microstructure and working memory functioning following stroke: a single case study of computerized cognitive training. Neurocase 18, 139–151. 10.1080/13554794.2011.568501
    1. Nordvik J. E., Walle K. M., Nyberg C. K., Fjell A. M., Walhovd K. B., Westlye L. T., et al. . (2014). Bridging the gap between clinical neuroscience and cognitive rehabilitation: The role of cognitive training, models of neuroplasticity and advanced neuroimaging in future brain injury rehabilitation. NeuroRehabilitation 34, 81–85. 10.3233/NRE-131017
    1. Owen A. M., Hampshire A., Grahn J. A., Stenton R., Dajani S., Burns A. S., et al. . (2010). Putting brain training to the test. Nature 465. 775–778. 10.1038/nature09042
    1. Park N. W., Ingles J. L. (2001). Effectiveness of attention rehabilitation after an acquired brain injury: a meta-analysis. Neuropsychology 15, 199–210. 10.1037/0894-4105.15.2.199
    1. Ponsford J. L., Kinsella G. (1988). Evaluation of a remedial programme for attentional deficits following closed-head injury. J. Clin. Exp. Neuropsychol. 10, 693–708. 10.1080/01688638808402808
    1. Poulin V., Korner-Bitensky N., Dawson D. R., Bherer L. (2012). Efficacy of executive function interventions after stroke: a systematic review. Top. Stroke Rehabil. 19, 158–171. 10.1310/tsr1902-158
    1. Prokopenko S. V., Mozheyko E. Y., Petrova M. M., Koryagina T. D., Kaskaeva D. S., Chernykh T. V., et al. . (2013). Correction of post-stroke cognitive impairments using computer programs. J. Neurol. Sci. 325, 148–153. 10.1016/j.jns.2012.12.024
    1. Robertson I. H., Murre J. M. J. (1999). Rehabilitation of brain damage: brain plasticity and principles of guided recovery. Psychol. Bull. 125, 544–575. 10.1037/0033-2909.125.5.544
    1. Rothman K. J. (1990). No adjustments are needed for multiple comparisons. Epidemiology 1, 43–46. 10.1097/00001648-199001000-00010
    1. Ruff R. M., Mahaffey R., Engel J., Farrow C., Cox D., Karzmark P. (1994). Efficacy study of THINKable in the attention and memory retraining of traumatically head-injured patients. Brain Inj. 8, 3–14. 10.3109/02699059409150954
    1. Spikman J. M., Boelen D. H. E., Lamberts K. F., Brouwer W. H., Fasotti L. (2010). Effects of a multifaceted treatment program for executive dysfunction after acquired brain injury on indications of executive functioning in daily life. J. Int. Neuropsychol. Soc. 16, 118–129. 10.1017/S1355617709991020
    1. Sturm W., Fimm B., Cantagallo A., Cremel N., North P., Passadori A., et al. (2003). Specific computerized attention training in stroke and traumatic brain-injured patients: a european multicenter efficacy study. Zeitschrift Fur Neuropsychol. 14, 283–292. 10.1024/1016-264X.14.4.283
    1. Sturm W., Willmes K., Orgass B., Hartje W. (1997). Do specific attention deficits need specific training? Neuropsychol. Rehabil. 7, 81–103. 10.1080/713755526
    1. Takeuchi N., Izumi S. (2015). Combinations of stroke neurorehabilitation to facilitate motor recovery: perspectives on hebbian plasticity and homeostatic metaplasticity. Front. Hum. Neurosci. 9:349. 10.3389/fnhum.2015.00349
    1. Tham W., Auchus A. P., Thong M., Goh M. L., Chang H. M., Wong M. C., et al. . (2002). Progression of cognitive impairment after stroke: one year results from a longitudinal study of singaporean stroke patients. J. Neurol. Sci. 203, 49–52. 10.1016/S0022-510X(02)00260-5
    1. Thrane G., Friborg O., Anke A., Indredayik B. (2014). A meta-analysis of constraint-induced movement therapy after stroke. J. Rehabil. Med. 46, 833–842. 10.2340/16501977-1859
    1. Toril P., Reales J. M., Ballesteros S. (2014). Video game training enhances cognition of older adults: a meta-analytic study. Psychol. Aging 29, 706–716. 10.1037/a0037507
    1. van Vleet T. M., Chen A., Vernon A., Novakovic-Agopian T., D'Esposito M. T. (2015). Tonic and phasic alertness training: a novel treatment for executive control dysfunction following mild traumatic brain injury. Neurocase 21, 489–498. 10.1080/13554794.2014.928329
    1. Westerberg H., Jacobaeus H., Hirvikoski T., Clevberger P., Ostensson M. L., Bartfai A., et al. . (2007). Computerized working memory training after stroke - A pilot study. Brain Inj. 21, 21–29. 10.1080/02699050601148726
    1. Zickefoose S., Hux K., Brown J., Wulf K. (2013). Let the games begin: a preliminary study using attention process training-3 and LumosityTM brain games to remediate attention deficits following traumatic brain injury. Brain Inj. 27, 707–716. 10.3109/02699052.2013.775484

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