Menu

Evidence Lacking for Brain-Training Products

A literature review finds little evidence that commercial brain-training games can improve everyday cognitive performance, citing methodological shortcomings.

Oct 4, 2016
Ben Andrew Henry

PEXELS, KAROLINA

Scientific evidence for the effectiveness of so-called brain-training games is lacking, according to a literature review published this week (October 3) in Psychological Science in the Public Interest. A group of seven US- and UK-based scientists reviewed more than 130 studies cited by the websites and promotional material of companies that market such products. The research offered little evidence that brain-training games can improve performance in everyday cognitive tasks, and the reviewers identified methodological flaws in each of the studies they analyzed.

Brain-training games, like the popular Lumosity and BrainHQ apps, involve reaction- and memory-based tasks that are meant to improve cognitive function in everyday life. The authors of the review noted that a key line of reasoning behind the games is that improved performance in specific on-screen tasks translates to improved performance in similar, real-life situations.

While evidence abounds that playing brain games will improve a person’s ability in the particular in-game task, there is much less evidence for an enhancement in everyday cognitive function, the authors wrote in their review. The authors also laid out a set of research best practices, such as control groups and double-blind testing, finding that few of the studies they examined met most of the best practices. None, the researchers wrote, were without flaws.

The review is the most recent installment in an ongoing disagreement over the the reported benefits of brain-training games. A 2014 open letter from a group of scientists identifying the paucity of evidence was countered by an open letter from another group of scientists arguing the case for brain training. In January, Lumos Labs, maker of Lumosity, settled deceptive-advertising charges from the US Federal Trade Commission for $2 million.

The present analysis is “exceedingly fair, and a model of what a skeptical but open-minded evaluation of evidence should look like,” Michael Kane of the University of North Carolina in Greensboro told The Atlantic, though scientists affiliated with brain-training programs disputed the review’s criticisms. 

June 2019

Living with Bacteria

Can pathogens be converted to commensals?

Marketplace

Sponsored Product Updates

Best Practices: Calculating Cell Confluency
Best Practices: Calculating Cell Confluency
In this white paper, learn how to use a cell imager system to directly and accurately capture and calculate cell confluency!
LabTwin's AI-powered Digital Assistant Now Talks Back and Connects Data Sources in the Lab with New Open API
LabTwin's AI-powered Digital Assistant Now Talks Back and Connects Data Sources in the Lab with New Open API
LabTwin GmbH, the world's first voice and AI-powered digital lab assistant, today announced its new open API that will connect scientists with data sources both inside and outside of the lab. 
BCG Digital Ventures and Sartorius Help Launch the World's First Voice-powered Digital Assistant for Scientists
BCG Digital Ventures and Sartorius Help Launch the World's First Voice-powered Digital Assistant for Scientists
LabTwin GmbH, an independent company backed by Boston Consulting Group Digital Ventures (BCG Digital Ventures) and leading biopharma supplier, Sartorius, today announced the launch of the world's first voice and AI-powered digital lab assistant.
Understanding Transcriptomic or Proteomic Datasets to Reveal Biological Mechanisms
Understanding Transcriptomic or Proteomic Datasets to Reveal Biological Mechanisms
When analyzing large transcriptomics or proteomics datasets, we want to understand whether the phenomenon is unusual or commonplace and whether there are informative similarities to other areas of biology. To learn more about how Ingenuity Pathway Analysis (IPA®) and Analysis Match can help, download this white paper from QIAGEN!