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      Do "Brain-Training" Programs Work?

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          Abstract

          In 2014, two groups of scientists published open letters on the efficacy of brain-training interventions, or "brain games," for improving cognition. The first letter, a consensus statement from an international group of more than 70 scientists, claimed that brain games do not provide a scientifically grounded way to improve cognitive functioning or to stave off cognitive decline. Several months later, an international group of 133 scientists and practitioners countered that the literature is replete with demonstrations of the benefits of brain training for a wide variety of cognitive and everyday activities. How could two teams of scientists examine the same literature and come to conflicting "consensus" views about the effectiveness of brain training?In part, the disagreement might result from different standards used when evaluating the evidence. To date, the field has lacked a comprehensive review of the brain-training literature, one that examines both the quantity and the quality of the evidence according to a well-defined set of best practices. This article provides such a review, focusing exclusively on the use of cognitive tasks or games as a means to enhance performance on other tasks. We specify and justify a set of best practices for such brain-training interventions and then use those standards to evaluate all of the published peer-reviewed intervention studies cited on the websites of leading brain-training companies listed on Cognitive Training Data (www.cognitivetrainingdata.org), the site hosting the open letter from brain-training proponents. These citations presumably represent the evidence that best supports the claims of effectiveness.Based on this examination, we find extensive evidence that brain-training interventions improve performance on the trained tasks, less evidence that such interventions improve performance on closely related tasks, and little evidence that training enhances performance on distantly related tasks or that training improves everyday cognitive performance. We also find that many of the published intervention studies had major shortcomings in design or analysis that preclude definitive conclusions about the efficacy of training, and that none of the cited studies conformed to all of the best practices we identify as essential to drawing clear conclusions about the benefits of brain training for everyday activities. We conclude with detailed recommendations for scientists, funding agencies, and policymakers that, if adopted, would lead to better evidence regarding the efficacy of brain-training interventions.

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          Most cited references245

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          The ASA's Statement onp-Values: Context, Process, and Purpose

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            The role of deliberate practice in the acquisition of expert performance.

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              Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

              Developers of health care software have attributed improvements in patient care to these applications. As with any health care intervention, such claims require confirmation in clinical trials. To review controlled trials assessing the effects of computerized clinical decision support systems (CDSSs) and to identify study characteristics predicting benefit. We updated our earlier reviews by searching the MEDLINE, EMBASE, Cochrane Library, Inspec, and ISI databases and consulting reference lists through September 2004. Authors of 64 primary studies confirmed data or provided additional information. We included randomized and nonrandomized controlled trials that evaluated the effect of a CDSS compared with care provided without a CDSS on practitioner performance or patient outcomes. Teams of 2 reviewers independently abstracted data on methods, setting, CDSS and patient characteristics, and outcomes. One hundred studies met our inclusion criteria. The number and methodologic quality of studies improved over time. The CDSS improved practitioner performance in 62 (64%) of the 97 studies assessing this outcome, including 4 (40%) of 10 diagnostic systems, 16 (76%) of 21 reminder systems, 23 (62%) of 37 disease management systems, and 19 (66%) of 29 drug-dosing or prescribing systems. Fifty-two trials assessed 1 or more patient outcomes, of which 7 trials (13%) reported improvements. Improved practitioner performance was associated with CDSSs that automatically prompted users compared with requiring users to activate the system (success in 73% of trials vs 47%; P = .02) and studies in which the authors also developed the CDSS software compared with studies in which the authors were not the developers (74% success vs 28%; respectively, P = .001). Many CDSSs improve practitioner performance. To date, the effects on patient outcomes remain understudied and, when studied, inconsistent.
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                Author and article information

                Journal
                Psychol Sci Public Interest
                Psychological science in the public interest : a journal of the American Psychological Society
                2160-0031
                1529-1006
                Oct 2016
                : 17
                : 3
                Affiliations
                [1 ] Department of Psychology, University of Illinois at Urbana-Champaign dsimons@illinois.edu.
                [2 ] Department of Psychology, Florida State University.
                [3 ] Department of Psychology, Florida State University Institute for Successful Longevity, Florida State University.
                [4 ] Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK School of Clinical Medicine, University of Cambridge.
                [5 ] Department of Psychology, Union College Geisinger Health System, Danville, PA.
                [6 ] Department of Psychology, Michigan State University.
                [7 ] Department of Educational Psychology, University of Illinois at Urbana-Champaign Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.
                Article
                17/3/103
                10.1177/1529100616661983
                27697851
                25b48fc8-4316-4ce9-b939-014f664d5fab
                © The Author(s) 2016.
                History

                brain training,cognitive,cognitive training,learning,skill,transfer

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