Literature DB >> 25591472

Do you believe in brain training? A questionnaire about expectations of computerised cognitive training.

Sheida Rabipour1, Patrick S R Davidson2.   

Abstract

"Brain training" (i.e., enhancing, rehabilitating, or simply maintaining cognitive function through deliberate cognitive exercise) is growing rapidly in popularity, yet remains highly controversial. Among the greatest problems in current research is the lack of a measure of participants' expectations, which can influence the degree to which they improve over training (i.e., the placebo effect). Here we created a questionnaire to measure the perceived effectiveness of brain-training software. Given the growth in advertising of these programmes, we sought to determine whether even a brief positive (or negative) message about brain training would increase (or decrease) the reported optimism of participants. We measured participants' expectations at baseline, and then following exposure to separate, brief messages that such programmes have either high or low effectiveness. Based on the knowledge they have gleaned from advertising and other real-world sources, people are relatively optimistic about brain training. However, brief messages can influence reported expectations about brain-training results: Reading a brief positive message can increase reported optimism, whereas reading a brief negative message can decrease it. Older adults appear more optimistic about brain training than young adults, especially when they report being knowledgeable about brain training and computers. These data indicate that perceptions of brain training are malleable to at least some extent, and may vary depending on age and other factors. Our questionnaire can serve as a simple, easily-incorporated tool to assess the face validity of brain training interventions and to create a covariate to account for expectations in statistical analyses.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Active control; Brain training; Expectation; Intervention design; Placebo effect; Research methods

Mesh:

Year:  2015        PMID: 25591472     DOI: 10.1016/j.bbr.2015.01.002

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  14 in total

1.  Augmenting cognitive training in older adults (The ACT Study): Design and Methods of a Phase III tDCS and cognitive training trial.

Authors:  Adam J Woods; Ronald Cohen; Michael Marsiske; Gene E Alexander; Sara J Czaja; Samuel Wu
Journal:  Contemp Clin Trials       Date:  2017-12-05       Impact factor: 2.226

2.  Keys to staying sharp: A randomized clinical trial of piano training among older adults with and without mild cognitive impairment.

Authors:  Elizabeth M Hudak; Jennifer Bugos; Ross Andel; Jennifer J Lister; Ming Ji; Jerri D Edwards
Journal:  Contemp Clin Trials       Date:  2019-06-18       Impact factor: 2.226

3.  Is Cognitive Training Worth It? Exploring Individuals' Willingness to Engage in Cognitive Training.

Authors:  Erin R Harrell; Brandon Kmetz; Walter R Boot
Journal:  J Cogn Enhanc       Date:  2019-03-08

4.  The Hype Cycle of Working Memory Training.

Authors:  Thomas S Redick
Journal:  Curr Dir Psychol Sci       Date:  2019-05-16

5.  Investigating message framing to improve adherence to technology-based cognitive interventions.

Authors:  Erin R Harrell; Nelson A Roque; Walter R Boot; Neil Charness
Journal:  Psychol Aging       Date:  2021-08-30

6.  A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.

Authors:  Zhe He; Shubo Tian; Ankita Singh; Shayok Chakraborty; Shenghao Zhang; Mia Liza A Lustria; Neil Charness; Nelson A Roque; Erin R Harrell; Walter R Boot
Journal:  Inf Process Manag       Date:  2022-07-21       Impact factor: 7.466

7.  Dynamic Useful Field of View Training to Enhance Older Adults' Cognitive and Motor Function: A Pilot Study.

Authors:  Elizabeth M Hudak; Karen L Bell; Cidnee Hall; Lori D Grismore; Jake LaVere; Jerri D Edwards
Journal:  J Cogn Enhanc       Date:  2021-07-07

8.  What Do People Expect of Cognitive Enhancement?

Authors:  Sheida Rabipour; Ronald Andringa; Walter R Boot; Patrick S R Davidson
Journal:  J Cogn Enhanc       Date:  2017-10-27

9.  Applying the Health Belief Model to Quantify and Investigate Expectations for Computerized Cognitive Training.

Authors:  Jerri D Edwards; Christine B Philllips; Melissa L O'Connor; Jennifer L O'Brien; Elizabeth M Hudak; Jody S Nicholson
Journal:  J Cogn Enhanc       Date:  2020-08-01

10.  Barriers, Benefits, and Beliefs of Brain Training Smartphone Apps: An Internet Survey of Younger US Consumers.

Authors:  John Torous; Patrick Staples; Elizabeth Fenstermacher; Jason Dean; Matcheri Keshavan
Journal:  Front Hum Neurosci       Date:  2016-04-20       Impact factor: 3.169

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