Dual N-back working memory training in healthy adults: A randomized comparison to processing speed training.
Open accessAbstract
UNLABELLED: Enhancing cognitive ability is an attractive concept, particularly for middle-aged adults interested in maintaining cognitive functioning and preventing age-related declines. Computerized working memory training has been investigated as a safe method of cognitive enhancement in younger and older adults, although few studies have considered the potential impact of working memory training on middle-aged adults. This study investigated dual n-back working memory training in healthy adults aged 30-60. Fifty-seven adults completed measures of working memory, processing speed, and fluid intelligence before and after a 5-week web-based dual n-back or active control (processing speed) training program. RESULTS: Repeated measures multivariate analysis of variance failed to identify improvements across the three cognitive composites, working memory, processing speed, and fluid intelligence, after training. Follow-up Bayesian analyses supported null findings for training effects for each individual composite. Findings suggest that dual n-back working memory training may not benefit working memory or fluid intelligence in healthy adults. Further investigation is necessary to clarify if other forms of working memory training may be beneficial, and what factors impact training-related benefits, should they occur, in this population.
AI snapshot
Written from the paper’s full text.
TL;DR
In healthy adults aged 30–60, 5 weeks of web-based dual n-back working memory training did not improve working memory, processing speed, or fluid intelligence relative to active processing speed training. Bayesian analyses supported null training effects.
Key findings
- The final analyzed sample was 57 adults (working memory group n = 27, processing speed group n = 30). Repeated measures MANOVA found no group × time difference across the three cognitive composites, F(3,52) = 0.37, p = .77, and no main effect of time, F(3,52) = 0.13, p = .94.
- Bayesian analyses supported the null for training effects; for interaction effects, the data favored the null by 33.72:1 for working memory, 34.40:1 for processing speed, and 39.97:1 for fluid intelligence.
- Both groups improved on their trained tasks: dual n-back mean level increased from 1.99 to 3.29, t(26) = 13.05, p < .001; processing speed total scores increased from 4,492.80 to 11,773.42, t(30) = 12.85, p < .001. Training dosage correlated with n-back improvement, r = .78, p < .001, but not with any cognitive outcome, r’s = −.12–.21, p’s = .28–.99.
- The processing speed group trained more total hours (M = 7.54, SD = 1.77) than the working memory group (M = 6.52, SD = 0.93), t(55) = 2.67, p < .01; higher processing speed dosage was associated with lower Automated Operation Span scores, r = −.36, p = .04.
Methods
- Randomized comparison of web-based Lumosity dual n-back working memory training versus active processing speed training in healthy adults aged 30–60 self-referred from a Canadian community. Of 81 consented, 61 completed baseline and post-training testing; the final analyzed sample was 57 after excluding low training dosage. Training was 20–30 minutes per day, 5 days per week, for 5 weeks.
- Outcomes measured pre- and post-training: working memory (WAIS-IV Digit Span; Automated Operation Span), processing speed (WAIS-IV Symbol Search and Coding), and fluid intelligence (Raven’s Advanced Progressive Matrices; Cattell’s Culture Fair Test Scale 3). Baseline intelligence was estimated with the WASI-II. Cognitive composites were created from z-scores.
- Main analysis used repeated measures MANOVA on the three cognitive composites entered simultaneously, followed by JZS Bayes factor ANOVAs with default prior scales.
Limitations
- Stated: no no-contact control group was included; the processing speed group had a larger training dosage than the working memory group, which may have blunted between-group effects; the study was underpowered (power analysis required 139 participants for effect size 0.24, or 467 for effect size 0.13, but the sample was 57).
- Stated: outcome measures may be suboptimal—Raven’s Advanced Progressive Matrices split forms may differ in difficulty, and Automated Operation Span may be too divergent from dual n-back processes; motivation and frustration were not extensively assessed; self-directed training meant other brain training could not be fully controlled.
- Evident from the text: the sample was mostly Caucasian (88%), female (72%), coupled (75%), employed full-time (68%), post-secondary educated (89%), with incomes above $50,000 (74%), and self-referred, limiting generalizability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 109 cited sources checked · 0 supported · 0 flagged
- Findingown data
Repeated measures multivariate analysis of variance failed to identify improvements across the three cognitive composites, working memory, processing speed, and fluid intelligence, after training.
“Repeated measures multivariate analysis of variance failed to identify improvements across the three cognitive composites, working memory, processing speed, and fluid intelligence, after training.”
Quote in the paperSubstantial claim- Rests on an assumption: The study had sufficient statistical power to detect training-related improvements if they existed.
- Findingown data
Statistically significant correlations were revealed for all measures within the working memory domain at baseline.
“Statistically significant correlations were revealed for all measures within the working memory domain (r’s .33-.80, p’s < .001-.02).”
Quote in the paperNot a substantial claim - Findingown data
Measures within the processing speed domain were significantly correlated at baseline.
“measures within the processing speed domain were significantly correlated, r = .67, p < .001”
Quote in the paperNot a substantial claim - Findingown data
At baseline, no significant differences emerged in any demographic variables or cognitive outcome measures between the working memory and processing speed groups.
“At baseline, no significant differences emerged in any demographic variables or cognitive outcome measures between the working memory and processing speed groups.”
Quote in the paperSubstantial claim - Findingown data
Measures within the fluid intelligence domain were significantly correlated at baseline.
“measures within the fluid intelligence domain were significantly correlated, r = .30, p = .007.”
Quote in the paperNot a substantial claim
- Findingown data
WASI-II composite scores were significantly correlated with working memory scores at baseline.
“WASI-II 4-Item composite scores were significantly correlated with working memory scores at baseline (Digit Span Total, r = .35, p = .008; Automated Operation Span r = .44 p = .001, Working Memory Composite scores r = .46, p < .001).”
Quote in the paperNot a substantial claim - Findingown data
Follow-up Bayesian analyses supported null findings for training effects for each individual composite.
“Follow-up Bayesian analyses supported null findings for training effects for each individual composite.”
Quote in the paperSubstantial claim- Rests on an assumption: The study had sufficient statistical power to detect training-related improvements if they existed.
- Findingown data
A two-way RM-MANOVA using cognitive composites (working memory, processing speed, fluid intelligence) failed to identify a difference between training groups on cognitive performance over time, F(3,52)=0.37, p=.77.
“A two-way RM-MANOVA using cognitive composites (working memory, processing speed, fluid intelligence) failed to identify a difference between training groups on cognitive performance over time, F(3,52) = 0.37,p = .77.”
Quote in the paperSubstantial claim - Findingown data
For the fluid intelligence composite, the data were 4.72:1 in favour of the null for the main effect of time.
“Finally, in the fluid intelligence composite, the data were 4.72:1 in favour of the null for the main effect of time and 39.97:1 in favour of the null for the interaction.”
Quote in the paperSubstantial claim - Findingown data
In the processing speed training group, higher training dosage was associated with decreased Automated Operation Span task scores (r = -.36, p = .04).
“In the processing speed training group, higher training dosage was associated with decreased Automated Operation Span task scores (r = -.36, p = .04).”
- Also stated in: § Discussion · plain
“In the processing speed training group, higher training dosages were associated with poorer Automated Operation Span performance.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingown data
When three outliers with unusually large lapses between training and post-training tests were removed, the groups continued to not significantly differ in days between training and testing: working memory training group M = 9.48, SD = 8.01; processing speed training group M = 6.62, SD = 6.47, t(51) = -1.45, p = .15.
“When these outliers were removed from analysis, the groups continued to not significantly differ: working memory training group M = 9.48, SD = 8.01; processing speed training group M = 6.62, SD = 6.47, t(51) = -1.45, p = .15.”
Quote in the paperNot a substantial claim - Findingown data
The difference in processing speed group total scores from first to last day of training was statistically significant, t(30) = 12.85, p < .001.
“The difference was statistically significant, t(30) = 12.85, p < .001.”
Quote in the paperNot a substantial claim - Findingown data
No other associations between training dosage and cognitive outcomes were revealed.
“No other associations were revealed.”
Quote in the paperNot a substantial claim - Findingown data
For the processing speed composite, the data were 34.40:1 in favour of the null for the interaction effect.
“For the processing speed composite, the data were 4.59:1 in favour of the null regarding a main effect of time, and 34.40:1 in favour of the null for the interaction effect.”
Quote in the paperSubstantial claim - Findingown data
The difference in average n-back level achieved from the first to last day of training was statistically significant, t(26) = 13.05, p < .001.
“The difference in average n-back level achieved from the first to last day of training was statistically significant, t(26) = 13.05, p < .001.”
Quote in the paperNot a substantial claim - Findingown data
Groups did not significantly differ in number of days between last day of training and the post-training cognitive testing, t(55) = -1.55, p = .13; working memory training group M = 13.29 days, SD = 15.76; processing speed training group M = 7.97 days, SD = 9.74.
“Groups did not significantly differ in number of days between last day of training and the post-training cognitive testing, t(55) = -1.55, p = .13; working memory training group M = 13.29 days, SD = 15.76; processing speed training group M = 7.97 days, SD = 9.74.”
Quote in the paperNot a substantial claim - Findingown data
After removing the three outliers, no significant associations were found in either group between time lapse and change scores for any cognitive outcome after Bonferroni correction (working memory training group r's = -.23-.47, p's = .02-.79; processing speed training group r's = -.36-.28, p's = .06-.90).
“After applying a Bonferroni correction for multiple comparisons, no significant associations were found in either group for any cognitive outcome (working memory training group r’s = -.23-.47, p’s = .02-.79; processing speed training group r’s = -.36-.28, p’s = .06-.90).”
Quote in the paperSubstantial claim - Findingown data
The two groups did not differ significantly in adhering to the 5-day/week for 5-weeks training schedule based on the number of days which elapsed between the first and last day of training, t(55) = -0.33, p = .74; working memory training group M = 39.37 days, SD = 11.19, processing speed training group M = 40.33 days, SD = 10.80.
“The two groups did not differ significantly in adhering to the 5-day/week for 5-weeks training schedule based on the number of days which elapsed between the first and last day of training, t(55) = -0.33, p = .74; working memory training group M = 39.37 days, SD = 11.19, processing speed training group M = 40.33 days, SD = 10.80.”
Quote in the paperNot a substantial claim - Findingown data
Larger training dosage did not impact scores on any cognitive outcome measured (r's = -.12-.21, p's = .28-.99).
“However, larger training dosage did not impact scores on any cognitive outcome measured (r’s = -.12-.21, p’s = .28-.99).”
- Also stated in: § Discussion · plain
“However, no other associations were noted regarding n-back working memory training dose and cognitive outcomes.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingown data
For the interaction in the working memory composite, the data were 33.72:1 in favour of the null.
“Similarly, for the interaction, the data were 33.72:1 in favour of the null.”
Quote in the paperSubstantial claim - Findingown data
Total dual n-back game-play time (training dosage) was positively correlated with improvement on n-back performance across the training period (r = .78, p < .001).
“Total dual n-back game-play time (i.e., training dosage) was positively correlated with improvement on n-back performance across the training period (r = .78, p < .001).”
- Also stated in: § Discussion · plain
“Training dosage in the working memory training group, as expected, was positively associated with improved n-back task performance across the 5-week training period.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingown data
A main effect of time was not present in the two-way RM-MANOVA, F(3,52)=0.13, p=.94.
“A main effect of time was not present, F(3,52) = 0.13,p = .94.”
Quote in the paperSubstantial claim - Findingown data
For the processing speed composite, the data were 4.59:1 in favour of the null regarding a main effect of time.
“For the processing speed composite, the data were 4.59:1 in favour of the null regarding a main effect of time, and 34.40:1 in favour of the null for the interaction effect.”
Quote in the paperNot a substantial claim - Findingown data
JZS Bayes factor ANOVAs with default prior scales revealed support for the null hypothesis regarding main and interaction effects for all three cognitive outcomes.
“JZS Bayes factor ANOVAs with default prior scales [49–52] revealed support for the null hypothesis regarding main and interaction effects for all three cognitive outcomes.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [49] Love J, Selker R, Marsman M, Jamil T, Dropmann D, Verhagen AJ, et al. (2015). JASP (Version 0.7)[Computer software].
Not checked in the free run.
- cites [50] MEJ Masson, 2011, A tutorial on a practical Bayesian alternative to null-hypothesis significance testing, Behavioural Research source
Not checked in the free run.
- cites [51] JN Rouder, 2012, Default Bayes factors for ANOVA designs, Journal of Mathematical Psychology source
Not checked in the free run.
- cites [52] AF Jarosz, 2014, What are the odds? A practical guide to computing and reporting Bayes factors, Journal of Problem Solving source
Not checked in the free run.
- Findingown data
For the fluid intelligence composite, the data were 39.97:1 in favour of the null for the interaction effect.
“Finally, in the fluid intelligence composite, the data were 4.72:1 in favour of the null for the main effect of time and 39.97:1 in favour of the null for the interaction.”
Quote in the paperSubstantial claim - Interpretationown data
Dual n-back working memory training may not benefit working memory or fluid intelligence in healthy adults.
“Findings suggest that dual n-back working memory training may not benefit working memory or fluid intelligence in healthy adults.”
Quote in the paperSubstantial claim- Rests on an assumption: The study had sufficient statistical power to detect training-related improvements if they existed.
- Rests on an assumption: The outcome measures were sensitive to training-related change.
- Study design and conductcitation
The Automated Operation Span task is highly correlated with other measures of working memory.
“This task is highly correlated with other measures of working memory [33,42].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [33] ARA Conway, 2002, A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence, Intelligence source
Not checked in the free run.
- cites [42] N Unsworth, 2005, An automated version of the operation span task, Behavior Research Methods source
Not checked in the free run.
- Premisecitation
Only weak associations have been found between processing speed and either fluid intelligence or working memory.
“only weak associations have been found between processing speed and either fluid intelligence or working memory [33]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] ARA Conway, 2002, A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence, Intelligence source
Not checked in the free run.
- Interpretationreasoning
This restricted age range limits the generalizability of findings, whether null or not.
“This limits the generalizability of findings, whether null or not.”
Quote in the paperNot a substantial claim - Premisecitation
Studies reporting performance gains in digit span and reading span after dual n-back training suggest that training increases ability on untrained, closely related tasks (near transfer effects).
“Studies reporting performance gains in tasks such as digit span and reading span [6–8, 10,12] after dual n-back training suggest that training increases ability not only on the trained task (i.e., practice effects), but also on untrained, closely related tasks (near transfer effects).”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [6] R Colom, 2013, Adaptive n-back training does not improve fluid intelligence at the construct level: Gains on individual tests suggest that training may enhance visuospatial processing, Intelligence source
Not checked in the free run.
- cites [7] B Kundu, 2013, Strengthened effective connectivity underlies transfer of working memory training to tests of short-term memory and attention, J Neurosci source
Not checked in the free run.
- cites [8] L Lilienthal, 2013, Dual n-back training increases the capacity of the focus of attention, Psychon Bull Rev source
Not checked in the free run.
- cites [10] T Salminen, 2012, On the impacts of working memory training on executive functioning, Front Hum Neurosci source
Not checked in the free run.
- cites [12] Seidler RD, Bernard JA, Buschkuehl M, Jaeggi S, Jonides J, Humfleet J. Cognitive Training as an Intervention to Improve Driving Ability in the Older Adult; Technical Report M-CASTL 2010–01. University of Michigan: Ann Arbor, MI, USA, 2010. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf" xlink:type="simple">http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf</ext-link>
Not checked in the free run.
- Premisecitation
Analysis of 20 studies (N = 1,022) revealed a small but statistically significant overall Hedges g effect (g = 0.24) of n-back training, relative to control conditions, on fluid intelligence outcomes.
“Analysis of 20 studies (N = 1,022) revealed a small but statistically significant overall Hedges g effect (g = 0.24) of n-back training, relative to control conditions, on fluid intelligence outcomes [14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
- Premisecitation
Several studies, including a recent meta-analysis, have demonstrated far transfer of dual n-back working memory training to measures of fluid intelligence.
“Several studies, including a recent meta-analysis, have demonstrated far transfer of dual n-back working memory training to measures of fluid intelligence [14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
- Premisecitation
No impact of processing speed training has been found on working memory.
“no impact of processing speed training has been found on working memory [34].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] H Peng, 2012, The impact of processing speed training on working memory in old adults, Journal of Adult Development source
Not checked in the free run.
- Premisecitation
The 30-year to 60-year age range has been comparatively overlooked in cognitive training literature.
“The 30-year to 60-year age range has been comparatively overlooked in cognitive training literature [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] JL Hardy, 2011, Enhancing visual attention and working memory with a web-based cognitive training program, Mensa Research Journal
Not checked in the free run.
- Premisecitation
In several studies comparing dual n-back training to active or no contact control groups, training related gains were not identified in any group relative to another for any outcome.
“in several studies comparing dual n-back working memory training to either active or no contact control groups, training related gains were not identified in any one group relative to another for any outcome [24–26].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [24] TS Redick, 2013, No evidence of intelligence improvement after working memory training: A randomized, placebo-controlled study, Journal of Experimental Psychology. General source
Not checked in the free run.
- cites [25] TW Thompson, 2013, Failure of working memory training to enhance cognition or intelligence, PLoS One source
Not checked in the free run.
- cites [26] W Chooi, 2012, Working memory training does not improve intelligence in healthy young adults, Intelligence source
Not checked in the free run.
- Interpretationcitation
Given that plasticity decreases with age, the potential for change in middle-age range adults may be greater than that of older adults.
“Also, given that plasticity decreases with age [32], the potential for change in middle-age range adults may be greater than that of older adults.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] C Freitas, 2011, Changes in Cortical Plasticity Across the Lifespan, Frontiers in Aging Neuroscience source
Not checked in the free run.
- Interpretationcitation
This relative deficiency represents an area of potential improvement for middle-aged adults.
“This relative deficiency represents an area of potential improvement for middle-aged adults.”
Quote in the paperNot a substantial claim - Interpretationreasoning
There is reason to suggest that middle-aged adults can benefit from dual n-back working memory training.
“Taken together, there is reason to suggest that middle-aged adults can benefit from dual n-back working memory training.”
Quote in the paperSubstantial claim - Premisecitation
Enhanced working memory abilities have been demonstrated in middle-aged adults after cognitive, although not specifically working memory, training.
“Enhanced working memory abilities have been demonstrated in middle-aged adults after cognitive, although not specifically working memory, training [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] JL Hardy, 2011, Enhancing visual attention and working memory with a web-based cognitive training program, Mensa Research Journal
Not checked in the free run.
- Premisecitation
Working memory is a central component of general cognition.
“Working memory is a reasonable target of cognitive training given that working memory is a central component of general cognition [3].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] ARA Conway, 2003, Trends Cogn Sci, Trends Cogn Sci
Not checked in the free run.
- Interpretationreasoning
Including an active comparison group rather than a no-training control group allows for all elements of the study with the exception of the specific games used in training to be controlled for.
“Including this active comparison group rather than a no-training control group allows for all elements of the study with the exception of the specific games used in training (training content) to be controlled for.”
Quote in the paperSubstantial claim- Rests on an assumption: The two training programs were equivalent in all nonspecific factors (e.g., expectancy, engagement) except training content.
- Premisecitation
Many studies that reported near and far transfer effects are called into question due to small sample sizes and problematic control procedures.
“Although other studies have reported near and far transfer effects, many are called into question due to small sample sizes and problematic control procedures (for thorough discussion see [53–55]).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [53] M Melby-Lervåg, 2013, Is working memory training effective? A meta-analytic review, Dev Psychol source
Not checked in the free run.
- cites [54] AB Morrison, 2011, Does working memory training work? The promise and challenges of enhancing cognition by training working memory, Psychon Bull Rev source
Not checked in the free run.
- cites [55] Z Shipstead, 2012, Is working memory training effective?, Psychological Bulletin source
Not checked in the free run.
- Premisereasoning
Automated Operation Span recruits updating processes.
“Furthermore, Automated Operation Span recruits updating processes.”
Quote in the paperSubstantial claim - Interpretationown data
The working memory training group did not improve on transfer outcomes when directly compared to the active control group.
“Results indicate that the working memory training group did not improve on transfer outcomes when directly compared to the active control group.”
Quote in the paperSubstantial claim - Premisecitation
Based on findings from the ACTIVE study, improved processing speed on the trained task (i.e., practice effects) can be expected after processing speed training.
“However, based on findings from the ACTIVE study [35], improved processing speed on the trained task (i.e., practice effects) can be expected after processing speed training.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] H Takeuchi, 2012, Effects of processing speed training on cognitive functions and neural systems, Reviews in the Neurosciences source
Not checked in the free run.
- Study design and conductown data
Conducting the RM-MANOVA with the training lapse outliers removed did not impact the results.
“Due to concern that training lapse outliers impacted analysis of the effect of training on cognitive task performance, the RM-MANOVA was conducted with these outliers removed; however, doing so did not impact the results.”
Quote in the paperNot a substantial claim - Interpretationown data
Support for the null hypothesis was consistently demonstrated through multivariate analysis of cognitive composite outcomes and Bayesian analyses.
“Support for the null hypothesis was consistently demonstrated through multivariate analysis of cognitive composite outcomes and Bayesian analyses.”
Quote in the paperSubstantial claim - Interpretationown data
Similar to our data, a Bayesian approach favoured the null.
“Thus, similar to our data, a Bayesian approach favoured the null.”
Quote in the paperNot a substantial claim - Interpretationcitation
Our findings support previous work which fails to replicate near and far transfer benefits of dual n-back working memory training when directly compared to an active control condition.
“Our findings support previous work which fails to replicate near and far transfer benefits of dual n-back working memory training when directly compared to an active control condition (see [24–26]).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [24] TS Redick, 2013, No evidence of intelligence improvement after working memory training: A randomized, placebo-controlled study, Journal of Experimental Psychology. General source
Not checked in the free run.
- cites [25] TW Thompson, 2013, Failure of working memory training to enhance cognition or intelligence, PLoS One source
Not checked in the free run.
- cites [26] W Chooi, 2012, Working memory training does not improve intelligence in healthy young adults, Intelligence source
Not checked in the free run.
- Premisecitation
Processing speed studies that were not part of the ACTIVE study showed similar results.
“Processing speed studies that were not part of the ACTIVE study showed similar results [35].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] H Takeuchi, 2012, Effects of processing speed training on cognitive functions and neural systems, Reviews in the Neurosciences source
Not checked in the free run.
- Premisecitation
A recent reinterpretation of working memory studies that reported positive effects of working memory training relative to control groups revealed that effects were due to decreases in control group performance, rather than reliable increases in training groups.
“Additionally, a recent reinterpretation of working memory studies that reported positive effects of working memory training relative to control groups revealed that effects were due to decreases in control group performance, rather than reliable increases in training groups [23].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] TS Redick, 2015, Working memory training and interpreting interactions in intelligence interventions, Intelligence source
Not checked in the free run.
- Interpretationown data
The larger training dosage in the processing speed training group may have blunted between-group effects.
“In this study, the processing speed training group had a larger training dosage than the working memory group, which may have blunted between-group effects.”
Quote in the paperNot a substantial claim - Interpretationown data
The present study suggests that effects of adaptive dual n-back working memory training do not differ from that of active (placebo) control training in healthy middle-aged adults in a self-directed training context.
“The present study suggests that effects of adaptive dual n-back working memory training do not differ from that of active (placebo) control training in healthy middle-aged adults in a self-directed training context.”
Quote in the paperSubstantial claim - Interpretationcitation
Our null results are more in line with findings that working memory task performance occurs as a monotonic function of age.
“However, our null results are more in line with findings that working memory task performance occurs as a monotonic function of age [59].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] AR Dobbs, 1989, Adult age differences in working memory, Psychology and Aging source
Not checked in the free run.
- Study design and conductcitation
Based on a power analysis using G*Power, given α = 0.05, power of 0.80 and effect size of 0.24 (as per a meta-analysis of dual n-back training studies), for a repeated measures, within-between interaction, a minimum of 139 individuals would be required for analysis.
“Based on a power analysis using G*Power [61], given α = 0.05, power of 0.80 and effect size of 0.24 (as per a meta-analysis of dual n-back training studies [14]) for a repeated measures, within-between interaction, a minimum of 139 individuals would be required for analysis.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [61] F Faul, 2007, G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences, Behavior Research Methods source
Not checked in the free run.
- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
- Interpretationown data
Support for the null under these experimental conditions is strong.
“In this case, support for the null under these experimental conditions is strong.”
Quote in the paperSubstantial claim - Premisecitation
Effects of dual n-back training were not previously investigated in a middle age-range sample.
“Although near and far transfer effects, albeit mixed, have been demonstrated after dual n-back training in younger (e.g., under 30) and older (e.g., over 60) age groups [5–12,15,17,18] effects were not previously investigated in a middle age-range sample.”
Quote in the paperSubstantial claim0 of 10 sources checked- cites [5] SM Jaeggi, 2008, Improving fluid intelligence with training on working memory, Proc Natl Acad Sci U S A source
Not checked in the free run.
- cites [6] R Colom, 2013, Adaptive n-back training does not improve fluid intelligence at the construct level: Gains on individual tests suggest that training may enhance visuospatial processing, Intelligence source
Not checked in the free run.
- cites [7] B Kundu, 2013, Strengthened effective connectivity underlies transfer of working memory training to tests of short-term memory and attention, J Neurosci source
Not checked in the free run.
- cites [8] L Lilienthal, 2013, Dual n-back training increases the capacity of the focus of attention, Psychon Bull Rev source
Not checked in the free run.
- cites [9] SR Rudebeck, 2012, A Potential Spatial Working Memory Training Task to Improve Both Episodic Memory and Fluid Intelligence, PLoS One source
Not checked in the free run.
- cites [10] T Salminen, 2012, On the impacts of working memory training on executive functioning, Front Hum Neurosci source
Not checked in the free run.
- cites [11] S Schweizer, 2011, Extending brain-training to the affective domain: Increasing cognitive and affective executive control through emotional working memory training, Plos One source
Not checked in the free run.
- cites [12] Seidler RD, Bernard JA, Buschkuehl M, Jaeggi S, Jonides J, Humfleet J. Cognitive Training as an Intervention to Improve Driving Ability in the Older Adult; Technical Report M-CASTL 2010–01. University of Michigan: Ann Arbor, MI, USA, 2010. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf" xlink:type="simple">http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf</ext-link>
Not checked in the free run.
- cites [15] SM Jaeggi, 2011, Short- and long-term benefits of cognitive training, Proc Natl Acad Sci U S A source
Not checked in the free run.
- cites [17] SM Jaeggi, 2010, The relationship between n-back performance and matrix reasoning—implications for training and transfer, Intelligence source
Not checked in the free run.
- Premisecitation
Near and far transfer effects, albeit mixed, have been demonstrated after dual n-back training in younger (e.g., under 30) and older (e.g., over 60) age groups.
“Although near and far transfer effects, albeit mixed, have been demonstrated after dual n-back training in younger (e.g., under 30) and older (e.g., over 60) age groups [5–12,15,17,18] effects were not previously investigated in a middle age-range sample.”
Quote in the paperSubstantial claim0 of 10 sources checked- cites [5] SM Jaeggi, 2008, Improving fluid intelligence with training on working memory, Proc Natl Acad Sci U S A source
Not checked in the free run.
- cites [6] R Colom, 2013, Adaptive n-back training does not improve fluid intelligence at the construct level: Gains on individual tests suggest that training may enhance visuospatial processing, Intelligence source
Not checked in the free run.
- cites [7] B Kundu, 2013, Strengthened effective connectivity underlies transfer of working memory training to tests of short-term memory and attention, J Neurosci source
Not checked in the free run.
- cites [8] L Lilienthal, 2013, Dual n-back training increases the capacity of the focus of attention, Psychon Bull Rev source
Not checked in the free run.
- cites [9] SR Rudebeck, 2012, A Potential Spatial Working Memory Training Task to Improve Both Episodic Memory and Fluid Intelligence, PLoS One source
Not checked in the free run.
- cites [10] T Salminen, 2012, On the impacts of working memory training on executive functioning, Front Hum Neurosci source
Not checked in the free run.
- cites [11] S Schweizer, 2011, Extending brain-training to the affective domain: Increasing cognitive and affective executive control through emotional working memory training, Plos One source
Not checked in the free run.
- cites [12] Seidler RD, Bernard JA, Buschkuehl M, Jaeggi S, Jonides J, Humfleet J. Cognitive Training as an Intervention to Improve Driving Ability in the Older Adult; Technical Report M-CASTL 2010–01. University of Michigan: Ann Arbor, MI, USA, 2010. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf" xlink:type="simple">http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf</ext-link>
Not checked in the free run.
- cites [15] SM Jaeggi, 2011, Short- and long-term benefits of cognitive training, Proc Natl Acad Sci U S A source
Not checked in the free run.
- cites [17] SM Jaeggi, 2010, The relationship between n-back performance and matrix reasoning—implications for training and transfer, Intelligence source
Not checked in the free run.
- Study design and conductown data
The study was underpowered.
“Despite the study being underpowered, Lilford & Stevens’ suggest that small studies, provided they are well designed, nevertheless contribute to the topic and field in which they are published [62].”
Quote in the paperSubstantial claim - Study design and conductcitation
Alternatively, a lower effect that can be expected when utilizing an active control group is 0.13, yielding a required sample of 467 individuals.
“Alternatively, a lower effect that can be expected when utilizing an active control group is 0.13 [28] yielding a required sample of 467 individuals.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] M Melby-Lervåg, 2015, There is no convincing evidence that working memory training is effective: A reply to Au et al. (2014) and Karbach and Verhaeghen (2014), Psychonomic Bulletin & Review
Not checked in the free run.
- Interpretationown data
The impact of working memory training as a method of enhancing cognitive performance remains questionable.
“Working memory training may be safer than pharmacology; however, the impact of working memory training as a method of enhancing cognitive performance remains questionable.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 63
- May combine two claims. 40
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThere were no demographic or cognitive differences between study completers and non-completers.
“There were no demographic or cognitive differences between study completers and non-completers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOf the 81 participants who began the study, 57 completed all components.
“Of the 81 participants who began the study, 57 completed all components of the study (pre- and post-testing and at least 13 of 25 training sessions).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataIn the processing speed group, the mean of total scores on the first day of training was 4,492.80 (SD = 2,626.76) and on the last day of training, 11,773.42 (SD = 1,992.28).
“The mean of total scores on the first day of training was 4,492.80 (SD = 2,626.76) and on the last day of training, 11,773.42 (SD = 1,992.28).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA significant difference emerged in total hours of training, t(55) = 2.67, p < .01, with the processing speed group training more total hours (M = 7.54, SD = 1.77) than the working memory group (M = 6.52, SD = 0.93).
“a significant difference emerged in total hours of training, t(55) = 2.67, p < .01 with the processing speed group training more total hours (M = 7.54, SD = 1.77) than the working memory group (M = 6.52, SD = 0.93).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWithin the working memory group, the mean average n-back level achieved on the first day of training was 1.99 (SD = 0.31) and on the last day of training, 3.29 (SD = 0.65).
“Within the working memory group, the mean average n-back level achieved on the first day of training was 1.99 (SD = 0.31) and on the last day of training, 3.29 (SD = 0.65).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe two groups did not differ significantly in number of training sessions (working memory group M = 22.81, SD = 3.27; processing speed group M = 22.70, SD = 3.35, t(55) = 0.13, p = .90).
“Although the two groups did not differ significantly in number of training sessions (working memory group M = 22.81, SD = 3.27; processing speed group M = 22.70, SD = 3.35, t(55) = 0.13, p = .90)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataWorking memory trainees spent an average of 17.16 minutes per daily training session, whereas processing speed trainees spent an average of 19.93 minutes per daily training session.
“Working memory trainees spent an average of 17.16 minutes per daily training session, whereas processing speed trainees spent an average of 19.93 minutes per daily training session.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the working memory composite, the data were 4.80:1 in favour of the alternative hypothesis, or 4.8 times more likely to occur under a model that excluded a main effect of time.
“Specifically, for the working memory composite, the data were 4.80:1 in favour of the alternative hypothesis, or 4.8 times more likely to occur under a model that excluded a main effect of time.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThroughout training, over half the working memory group (52%) reached 4-back, and many reached 5-back (26%).
“Throughout training, over half the group (52%) reached 4-back, and many reached 5-back (26%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataTwo participants (7%) did not surpass 3-back and four participants (15%) reached 6-back in the working memory group.
“Two participants (7%) did not surpass 3-back and four participants (15%) reached 6-back.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenParticipants were not aware that processing speed and working memory programs were being directly compared.
“Participants were told only about their training program and were not aware that processing speed and working memory programs were being directly compared”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll testing materials were scripted to ensure consistency of instructions.
“All testing materials were scripted to ensure consistency of instructions to participants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningTo maintain experimenter blinding, post-testing was conducted by research assistants trained and supervised by the author.
“To maintain experimenter blinding, post-testing was conducted by research assistants trained and supervised by the author (LLS).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe University of Calgary Conjoint Faculties Research Ethics Board approved this study, and all participants provided written informed consent.
“The University of Calgary Conjoint Faculties Research Ethics Board approved this study, and all participants provided written informed consent.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe CCFT is considered a superior and more specific measure of fluid intelligence compared to measures using only matrix tasks.
“The CCFT is considered a superior and more specific measure of fluid intelligence compared to measures using only matrix tasks [45,46]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [45] R Colom, 2003, Secular gains in fluid intelligence: Evidence from the culture-fair intelligence test, J Biosoc Sci source
Not checked in the free run.
- cites [46] LJ Tranter, 2008, Age and flexible thinking: An experimental demonstration of the beneficial effects of increased cognitively stimulating activity on fluid intelligence in healthy older adults, Aging, Neuropsychology & Cognition source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenBaseline tests were conducted by the author who was blind to randomization until training instructions were revealed.
“Baseline tests were conducted by the author (LLS) who was blind to randomization until training instructions were revealed at the end of testing.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationTo reduce carryover and fatigue effects, the administration order of cognitive tasks was counterbalanced.
“To reduce carryover and fatigue effects, the administration order of cognitive tasks was counterbalanced [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] E Williams, 1949, Experimental designs balanced for the estimation of residual effects of treatments, Australian Journal of Chemistry source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe 36 RAPM test items were split into parallel odd and even forms counterbalanced across participants.
“the 36 test items were split into parallel odd and even forms counterbalanced across participants with the opposite form delivered at post-test.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe WASI-II has demonstrated convergent and structural validity with more lengthy measures of intelligence.
“The WASI-II is an update to the original WASI, which has demonstrated convergent and structural validity with more lengthy measures of intelligence [39].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] GL Canivez, 2009, Construct validity of the Wechsler Abbreviated Scale of Intelligence and Wide Range Intelligence test: Convergent and structural validity, School Psychology Quarterly source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenGame play data were monitored for compliance and reviewed daily to ensure participants were not playing non-assigned games.
“Game play data were monitored for compliance and reviewed daily to ensure participants were not playing non-assigned games on the Lumosity platform.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataCorrelations were conducted among all baseline cognitive outcome measures to ensure the chosen measures within each cognitive domain were sufficiently related.
“Correlations (two-tailed) were conducted among all baseline cognitive outcome measures to ensure the chosen measures within each cognitive domain were sufficiently related.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationThe Processing Speed Index is a reliable measure of processing speed, and Symbol Search is considered one of the purest measures of processing speed.
“Taken together, the Processing Speed Index is a reliable measure of processing speed, and individually, Symbol Search is considered one of the purest measures of processing speed [41].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] D Wechsler, 2008, Wechsler Adult Intelligence Scale—fourth edition: Canadian manual
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNon-compliant participants were removed from data analysis.
“non-compliant participants were removed from data analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenParticipants were asked not to discuss their training program with research assistants, and assistants did not know specifics of the games or target skills.
“Participants were asked not to discuss their training program with the research assistants, and assistants did not know specifics of the games or the target skills being trained (e.g., speed versus working memory).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe study was unable to control for potential contamination from other forms of brain training during the study period.
“Although participants were asked to not engage in other forms of “brain training” during the study period, we were unable to control for such potential contamination.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCCFT forms A and B were administered counterbalanced across participants.
“For the CCFT, forms A and B were also administered counterbalanced across participants.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationEffect sizes between active and passive control groups did not significantly differ; however, studies with active control groups demonstrated less differential effect on fluid intelligence than those with passive control groups.
“Effect sizes between active and passive control groups did not significantly differ; however, studies with active control groups demonstrated less differential effect on fluid intelligence than those with passive control groups.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
May combine two claims.
PremisecitationOther studies demonstrated improvement in near-transfer tasks although no improvement in far transfer.
“Other studies demonstrated improvement in near-transfer tasks although no improvement in far transfer [6,8,10,12,15].”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [6] R Colom, 2013, Adaptive n-back training does not improve fluid intelligence at the construct level: Gains on individual tests suggest that training may enhance visuospatial processing, Intelligence source
Not checked in the free run.
- cites [8] L Lilienthal, 2013, Dual n-back training increases the capacity of the focus of attention, Psychon Bull Rev source
Not checked in the free run.
- cites [10] T Salminen, 2012, On the impacts of working memory training on executive functioning, Front Hum Neurosci source
Not checked in the free run.
- cites [12] Seidler RD, Bernard JA, Buschkuehl M, Jaeggi S, Jonides J, Humfleet J. Cognitive Training as an Intervention to Improve Driving Ability in the Older Adult; Technical Report M-CASTL 2010–01. University of Michigan: Ann Arbor, MI, USA, 2010. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf" xlink:type="simple">http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf</ext-link>
Not checked in the free run.
- cites [15] SM Jaeggi, 2011, Short- and long-term benefits of cognitive training, Proc Natl Acad Sci U S A source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe mismatch model of cognitive plasticity suggests that increasing demand on cognitive processes leads to expansion of resources associated with cognitive functioning.
“The mismatch model of cognitive plasticity suggests that increasing the demand on cognitive processes leads to expansion of resources associated with cognitive functioning [22].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] M Lövdén, 2010, A theoretical framework for the study of adult cognitive plasticity, Psychol Bull source
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningBased on the mismatch model, the ceiling of one's cognitive abilities can be progressively pushed upward by continually challenging the upper limits of those abilities.
“Based on this model, the ceiling of one’s cognitive abilities can be progressively pushed upward by continually challenging the upper limits of those abilities.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn some cases, statistically significant differences were due to post-intervention decreases in control group performance rather than enhancements in the n-back training group.
“Redick [23] pointed out that in some cases, statistically significant differences were due not to post-intervention enhancements in the n-back training group, but rather, to post-intervention decreases in control group performance.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] TS Redick, 2015, Working memory training and interpreting interactions in intelligence interventions, Intelligence source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHealthy, middle-aged adults are particularly interested in improving their existing intellectual abilities and potentially staving off age-related cognitive decline.
“Healthy, middle-aged adults are particularly interested in improving their existing intellectual abilities and potentially staving off age-related cognitive decline [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] A Fernandez, 2011, The business and ethics of the brain fitness boom, Generations
Not checked in the free run.
May combine two claims.
PremisecitationWorking memory and fluid intelligence are each independently key aspects of overall intelligence.
“working memory and fluid intelligence are each, independently, key aspects of overall intelligence [3]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] ARA Conway, 2003, Trends Cogn Sci, Trends Cogn Sci
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationDougherty and colleagues' Bayesian analysis of Au and colleagues' data supported the null hypothesis of no training effect relative to active-control groups, although acknowledged training effects when passive controls were utilized.
“Dougherty and colleagues [27] conducted a Bayesian analysis of Au and colleagues’ data, which supported the null hypothesis of no training effect relative to active-control groups, although acknowledged training effects when passive controls were utilized.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] MR Dougherty, 2015, Reevaluating the effectiveness of n-back training on transfer though the Bayesian lens: Support for the null, Psychon. Bull. Rev
Not checked in the free run.
Classified as probably not a substantial claim.
Premisenone givenLittle is known about whether working memory training induces cognitive plasticity in middle-aged adults.
“little is known about whether working memory training induces cognitive plasticity in this population.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenHealthy adults in dual n-back working memory training studies are consistently of a restricted age range (mean age low to mid 20s) and often with university affiliation.
“healthy adults in dual n-back working memory training studies are consistently of a restricted age range (i.e., mean participant age low to mid 20’s) and often with university affiliation (e.g., psychology undergraduates).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationWorking memory and fluid intelligence are highly related, yet distinct.
“The theoretical basis for why working memory training might enhance fluid intelligence lies in findings that working memory and fluid intelligence are highly related, yet distinct [3].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] ARA Conway, 2003, Trends Cogn Sci, Trends Cogn Sci
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningShould working memory training groups differ from active control training groups, the benefits of working memory training can be considered more specific to working memory training.
“However, should working memory training groups differ from active control training groups, the benefits of working memory training can be considered more specific to working memory training.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataCognitive composites were created and analyzed given moderate correlations between outcome measures within each cognitive domain.
“Given moderate correlations between outcome measures within each cognitive domain, cognitive composites were created and analyzed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOverall intelligence is consistently associated with academic, social, and vocational success.
“which is consistently associated with academic, social, and vocational success [20,21].”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationA survey of processing speed training studies conducted from 2002-2011 largely indicated that processing speed training transferred to improvements on tasks directly associated with the training task, but did not generally transfer to other tasks.
“a survey of processing speed training studies conducted from 2002–2011 largely indicated that processing speed training transferred to improvements on tasks directly associated with the training task, but did not generally transfer to other tasks [35].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] H Takeuchi, 2012, Effects of processing speed training on cognitive functions and neural systems, Reviews in the Neurosciences source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAmount of financial compensation provided to trainees had a negative effect on training related outcomes.
“Finally, amount of financial compensation provided to trainees had a negative effect on training related outcomes [14].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
May combine two claims.
PremisecitationReported findings on dual n-back training are generally inconsistent and at times questionable.
“However, reported findings are generally inconsistent, and at times, questionable.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningAdaptive dual n-back working memory tasks align well with the mismatch model.
“Adaptive dual n-back working memory tasks align well with this model.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenSample sizes in dual n-back training studies tend to be small (often less than 20 per group), and control groups vary among studies.
“sample sizes tend to be small (i.e., often less than 20 per group), and control groups vary among studies (e.g., active versus passive controls, diversity among active control groups).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationDual n-back working memory training has been associated with improvement on similar dual n-back tasks, other tasks of working memory, and fluid intelligence.
“Dual n-back working memory training has been associated with improvement on similar dual n-back tasks, other tasks of working memory, and the broader construct of fluid intelligence [5–18]”
Quote in the paperSubstantial claim0 of 10 sources checked- cites [5] SM Jaeggi, 2008, Improving fluid intelligence with training on working memory, Proc Natl Acad Sci U S A source
Not checked in the free run.
- cites [6] R Colom, 2013, Adaptive n-back training does not improve fluid intelligence at the construct level: Gains on individual tests suggest that training may enhance visuospatial processing, Intelligence source
Not checked in the free run.
- cites [7] B Kundu, 2013, Strengthened effective connectivity underlies transfer of working memory training to tests of short-term memory and attention, J Neurosci source
Not checked in the free run.
- cites [8] L Lilienthal, 2013, Dual n-back training increases the capacity of the focus of attention, Psychon Bull Rev source
Not checked in the free run.
- cites [9] SR Rudebeck, 2012, A Potential Spatial Working Memory Training Task to Improve Both Episodic Memory and Fluid Intelligence, PLoS One source
Not checked in the free run.
- cites [10] T Salminen, 2012, On the impacts of working memory training on executive functioning, Front Hum Neurosci source
Not checked in the free run.
- cites [11] S Schweizer, 2011, Extending brain-training to the affective domain: Increasing cognitive and affective executive control through emotional working memory training, Plos One source
Not checked in the free run.
- cites [12] Seidler RD, Bernard JA, Buschkuehl M, Jaeggi S, Jonides J, Humfleet J. Cognitive Training as an Intervention to Improve Driving Ability in the Older Adult; Technical Report M-CASTL 2010–01. University of Michigan: Ann Arbor, MI, USA, 2010. Available: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf" xlink:type="simple">http://www.mdpi.com/2076-328X/4/3/301/htm#sthash.GO0N1adF.dpuf</ext-link>
Not checked in the free run.
- cites [13] H Stepankova, 2014, The malleability of working memory and visuospatial skills: a randomized controlled study in older adults, Dev Psychol source
Not checked in the free run.
- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
May combine two claims.
PremisecitationMiddle aged adults are less adept at dual n-back tasks than younger adults (aged 19-28), presumably related to the higher memory load required by the dual n-back relative to single n-back tasks.
“Jaeggi and colleagues [31] demonstrated that middle aged adults are less adept at dual n-back tasks than younger adults (aged 19–28), presumably related to the higher memory load required by the dual n-back, relative to single n-back, tasks.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] SM Jaeggi, 2009, Differential age effects in load-dependent memory processing, Aging, Neuropsychology, and Cognition
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationTraining setting did not influence training effect size; studies conducted outside the United States yielded significantly larger effect sizes than local studies.
“Training setting did not influence training effect size; although, studies conducted outside of the United States yielded significantly larger effect sizes than local studies [14].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
Probably not a substantial claim: may not pass S1 (asserted).
PremisecitationSome have suggested that Automated Operation Span relies on recall processes whereas n-back recruits recognition abilities.
“For example, some have suggested that Automated Operation Span relies on recall processes whereas n-back recruits recognition abilities [17].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] SM Jaeggi, 2010, The relationship between n-back performance and matrix reasoning—implications for training and transfer, Intelligence source
Not checked in the free run.
May combine two claims.
Study design and conductown dataWe compared mean scores of the two RAPM forms at baseline and no significant differences were detected between form A and B, suggesting difficulty of the two forms was similar.
“Although not as precise as an Item Response Theory analysis, we compared mean scores of the two forms at baseline and no significant differences were detected between form A and B, suggesting difficulty of the two forms was similar.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe Automated Operation Span task used in this study may be too divergent from the processes trained by dual n-back.
“Furthermore, the Automated Operation Span task used in this study may be too divergent from the processes trained by dual n-back.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationRedick and Lindsey suggested that improving the processes involved in n-back task performance via repeated practice does not result in changes to the processes involved in complex span performance.
“More recently, Redick and Lindsey [56] suggested that “improving the processes involved in n-back task performance via repeated practice does not result in changes to the processes involved in complex span performance.””
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56] TS Redick, 2013, Complex span and n-back measures of working memory: a meta-analysis, Psychonomic Bulletin & Review source
Not checked in the free run.
May combine two claims.
PremisereasoningThe speed games recruited immediate visual memory but did not require maintenance or manipulation (updating) of information in working memory.
“Although the speed games recruited immediate visual memory, they did not require maintenance or manipulation (i.e., updating) of information in working memory.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAs noted in the mismatch model of cognitive plasticity, if a training task is too difficult, the trainee may become overwhelmed and give up.
“As noted in the mismatch model of cognitive plasticity, if a training task is too difficult, the trainee may become overwhelmed and give up [22].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] M Lövdén, 2010, A theoretical framework for the study of adult cognitive plasticity, Psychol Bull source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataUtilization of non-assigned games was monitored and contamination was minimal (e.g., 9 of 27 n-back trainees played an average of 6.34 minutes of unassigned games in addition to their n-back training program).
“Utilization of non-assigned games was monitored and contamination was minimal (e.g., 9 of 27 n-back trainees played an average of 6.34 minutes of unassigned games in addition to their n-back training program).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAlthough Au and colleagues concluded positive effects of dual n-back training on working memory and fluid intelligence, a Bayesian approach suggested the data fit better with the null hypothesis.
“Furthermore, although Au and colleagues [14] concluded positive effects of dual n-back training on working memory and fluid intelligence, a Bayesian approach suggested the data fit better with the null hypothesis [27].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
- cites [27] MR Dougherty, 2015, Reevaluating the effectiveness of n-back training on transfer though the Bayesian lens: Support for the null, Psychon. Bull. Rev
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious data indicate notable correlations between n-back tasks and complex span tasks.
“This is despite previous data indicating notable correlations between n-back tasks and complex span tasks [57,58].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [57] GC Burgess, 2011, Neural mechanisms of interference control underlie the relationship between fluid intelligence and working memory span, Journal of Experimental Psychology. General source
Not checked in the free run.
- cites [58] F Schmiede, 2009, Complex span versus updating tasks of working memory: The gap is not that deep, Journal of Experimental Psychology: Learning, Memory, and Cognition
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenIn this study, we counterbalanced the administration order such that 50% of participants received form A at baseline, and 50% received form B.
“In this study, we counterbalanced the administration order such that 50% of participants received form A at baseline, and 50% received form B.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenDigit Span Forward is considered a measure of auditory attention span whereas Digit Span Backward and Sequencing recruit the additional working memory component of manipulation.
“Digit Span Forward is considered a measure of auditory attention span whereas Digit Span Backward and Sequencing recruit the additional working memory component of manipulation (i.e., mentally re-arranging digits).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn the ACTIVE study, as with ours, processing speed training resulted in improved performance on the trained task although enhancements did not transfer to broader measures of processing speed.
“In the ACTIVE study, as with ours, processing speed training resulted in improved performance on the trained task although enhancements did not transfer to broader measures of processing speed [35].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] H Takeuchi, 2012, Effects of processing speed training on cognitive functions and neural systems, Reviews in the Neurosciences source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationJaeggi and colleagues conducted an Item Response Theory analysis of the RAPM and concluded that when split into parallel odd and even forms, one form is disproportionately more difficult than the other form, which can distort results by making it appear that one group performed better, or worse, than another group.
“For example, Jaeggi and colleagues [16] conducted an Item Response Theory analysis of the RAPM and concluded that when split into parallel odd and even forms, one form is disproportionately more difficult than the other form, which can distort results by making it appear that one group performed better, or worse, than another group.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] SM Jaeggi, 2014, The role of individual differences in cognitive training and transfer, Mem. Cognit source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationown dataThe finding that higher processing speed training dosages were associated with poorer Automated Operation Span performance can only be interpreted with caution given that main effects of time were likely not due to training.
“However, this finding can only be interpreted with caution given that main effects of time were likely not due to training.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Premisenone givenConversely, if a training task is too easy, the trainee may lose interest.
“Conversely, if a training task is too easy, the trainee may lose interest.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationOur study, and others, remain susceptible to criticism based on the measures chosen to detect change.
“Our study, and others (e.g., [5,10,17,25]), remain susceptible to criticism based on the measures chosen to detect change.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenAlthough no cognitive task is pure, there are processing speed tasks that elicit minimal demand on working memory relative to working memory tasks, which elicit a high working memory load.
“Last, although no cognitive task is pure, there are processing speed tasks that elicit minimal demand on working memory relative to working memory tasks, which elicit a high working memory load.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSome findings suggest that paying participants to train decreases intrinsic motivation and results in lower effect sizes.
“Specifically, some findings suggest that paying participants to train decreases intrinsic motivation and results in lower effect sizes [14,16]; although lack of remuneration does not guarantee effects.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
- cites [16] SM Jaeggi, 2014, The role of individual differences in cognitive training and transfer, Mem. Cognit source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningGiven that dual n-back tasks also require immediate attention and updating, the additional aspect of manipulation represents a divergent aspect of working memory which can be interpreted as transfer.
“Given that dual n-back tasks also require immediate attention and updating, the additional aspect of manipulation represents a divergent aspect of working memory which can be interpreted as transfer.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTo our knowledge, the only investigated factor impacting motivation is monetary compensation.
“To our knowledge, the only investigated factor impacting motivation is monetary compensation [14,16].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] J Au, 2014, Improving fluid intelligence with training on working memory: a meta-analysis, Psychon Bull Rev
Not checked in the free run.
- cites [16] SM Jaeggi, 2014, The role of individual differences in cognitive training and transfer, Mem. Cognit source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisereasoningBoth the digit span and operation span tasks require immediate attention, varying degrees of manipulation of information within immediate memory stores, and updating of information.
“Both the digit span and operation span tasks require immediate attention, varying degrees of manipulation of information within immediate memory stores, and updating of information.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationMiddle-age range adults might have a better chance at improving than older adults.
“Moreover, given that cognitive plasticity is thought to decline across the aging trajectory [32], middle-age range adults might have a better chance at improving than older adults.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLilford & Stevens suggest that small studies, provided they are well designed, nevertheless contribute to the topic and field in which they are published.
“Despite the study being underpowered, Lilford & Stevens’ suggest that small studies, provided they are well designed, nevertheless contribute to the topic and field in which they are published [62].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] R Lilford, 2002, Underpowered studies, British Journal of Surgery source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe authors of the large-scale investigation posit that training with a broad range of tasks increases trainees' general learning processes and their ability to learn new tasks whether related or unrelated to the trained task.
“The authors posit that training with a broad range of tasks increases trainees’ general learning processes and their ability to learn new tasks whether related or unrelated to the trained task.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] JL Hardy, 2015, Enhancing cognitive abilities with comprehensive training: A large, online, randomized, active-controlled trial, PLOS ONE
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther forms of cognitive training have resulted in improved working memory performance for middle-aged adults.
“Other forms of cognitive training have resulted in improved working memory performance for middle-aged adults [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] JL Hardy, 2011, Enhancing visual attention and working memory with a web-based cognitive training program, Mensa Research Journal
Not checked in the free run.
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationPrevious discussions have led to the idea that aging adults may benefit from cognitive training more than younger populations due to loss of complex cognitive performance, including dual n-back performance, with increasing age.
“Previous discussions have led to the idea that aging adults may benefit from cognitive training more than younger populations due to loss of complex cognitive performance, including dual n-back performance, with increasing age [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] SM Jaeggi, 2009, Differential age effects in load-dependent memory processing, Aging, Neuropsychology, and Cognition
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA large-scale investigation of 4,715 adults ranging in age from 18-80 demonstrated positive effects of a multi-domain training program on both trained and untrained cognitive performance.
“More recently, a large-scale investigation of 4,715 adults ranging in age from 18–80, demonstrated positive effects of a multi-domain training program on both trained and untrained cognitive performance [60].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] JL Hardy, 2015, Enhancing cognitive abilities with comprehensive training: A large, online, randomized, active-controlled trial, PLOS ONE
Not checked in the free run.
Classified as probably not a substantial claim.
PremisereasoningThe processing speed training program utilized for this study should not be expected to enhance complex working memory or fluid intelligence.
“However, the processing speed training program utilized for this study should not be expected to enhance complex working memory or fluid intelligence.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a study of 23 healthy adults (mean age 53 years) randomized to a training or no-training control group, the online training program consisted of four exercises targeting visual attention, working memory, and processing speed; relative to controls, trainees improved on measures of divided visual attention and simple visual memory span.
“Specifically, 23 healthy adults (mean age 53 years) were randomized to a training or no-training control group. The online training program consisted of four exercises targeting visual attention, working memory, and processing speed. Relative to controls, trainees improved on measures of divided visual attention and simple visual memory span.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] JL Hardy, 2011, Enhancing visual attention and working memory with a web-based cognitive training program, Mensa Research Journal
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenBoth training programs include working memory and processing speed processes, but the extent to which these processes are emphasized within each training program is very different.
“Although we acknowledge that both training programs include working memory and processing speed processes, the extent to which these processes are emphasized within each training program is very different.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThis suggestion is consistent with environmental enrichment theories of learning, and not specific to middle age-range healthy adults.
“This suggestion is consistent with environmental enrichment theories of learning, and not specific to middle age-range healthy adults [60].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] JL Hardy, 2015, Enhancing cognitive abilities with comprehensive training: A large, online, randomized, active-controlled trial, PLOS ONE
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCognitive plasticity is thought to decline across the aging trajectory.
“Moreover, given that cognitive plasticity is thought to decline across the aging trajectory [32], middle-age range adults might have a better chance at improving than older adults.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] C Freitas, 2011, Changes in Cortical Plasticity Across the Lifespan, Frontiers in Aging Neuroscience source
Not checked in the free run.
The paper relies on this without support.
The study had sufficient statistical power to detect training-related improvements if they existed.
“Follow-up Bayesian analyses supported null findings for training effects for each individual composite.”
The paper relies on this without support.
The two training programs were equivalent in all nonspecific factors (e.g., expectancy, engagement) except training content.
“Including this active comparison group rather than a no-training control group allows for all elements of the study with the exception of the specific games used in training (training content) to be controlled for.”
The paper relies on this without support.
The outcome measures were sensitive to training-related change.
“Measures were chosen based on their use in previous investigations of working memory training, their ability to reliably measure the cognitive domains of interest, and their sensitivity to age-related differences in cognitive performance.”
The paper relies on this without support.
Participants did not engage in other forms of cognitive training during the study period.
“Although participants were asked to not engage in other forms of “brain training” during the study period, we were unable to control for such potential contamination.”
The paper relies on this without support.
This study is the first to explore transfer of dual n-back working memory training specifically in middle age-ranged adults.
“This study is important as it is the first to explore transfer of dual n-back working memory training specifically in middle age-ranged adults, a population particularly interested in building up cognitive reserve.”
The paper relies on this without support.
Healthy middle-aged adults have increased interest in enhancing cognitive abilities.
“This investigation was conducted with healthy community adults, aged 30–60, given the increased interest this population has in enhancing cognitive abilities yet lack of empirical examination as to whether working memory training is effective for healthy adults in this age group.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The active control group performed the same training protocol as the experimental groups but engaged in activities relying on perceptual abilities and progressively increasing speed demands without increments in executive load.
“AC performed the same training protocol as their experimental counterparts, but they engaged in activities that relied on perceptual abilities and progressively increased their speed demands, without increments in executive load (Peng et al., 2012; Takeuchi and Kawashima, 2012; Lawlor-Savage and Goghari, 2016).”
From Training on Working Memory and Inhibitory Control in Young Adults (2016) · cites this paper as Lawlor-Savage and Goghari, 2016
The active control group engaged in tasks essentially requiring processing speed in order to keep participants' motivation and engagement similar to those from the experimental groups.
“Thus, the active control group engaged in tasks essentially requiring processing speed (for related approaches see Goldin et al., 2014; Lawlor-Savage and Goghari, 2016), in order to keep participants’ motivation and engagement similar to those from the experimental groups.”
From Training on Working Memory and Inhibitory Control in Young Adults (2016) · cites this paper as Lawlor-Savage and Goghari, 2016
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- ConsistentF(3, 52) = 0.37reported p = .77 · recomputed p = .775
“F(3,52) = 0.37,p = .77”
- ConsistentF(3, 52) = 0.13reported p = .94 · recomputed p = .942
“F(3,52) = 0.13,p = .94”
- Consistentt(55) = 0.13reported p = .9 · recomputed p = .897
“t(55) = 0.13, p = .90”
- Consistentt(55) = 2.67reported p < .01 · recomputed p = .010
“t(55) = 2.67, p < .01”
- Consistentt(55) = -0.33reported p = .74 · recomputed p = .743
“t(55) = -0.33, p = .74”
- Consistentt(26) = 13.05reported p < .001 · recomputed p < .001
“t(26) = 13.05, p < .001”
- Consistentt(30) = 12.85reported p < .001 · recomputed p < .001
“t(30) = 12.85, p < .001”
- Consistentt(55) = -1.55reported p = .13 · recomputed p = .127
“t(55) = -1.55, p = .13”
- Consistentt(51) = -1.45reported p = .15 · recomputed p = .153
“t(51) = -1.45, p = .15”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Outlier-excluded comparison has an incompatible degree of freedom
MinorRemoving the three identified outliers from the analyzed sample of 57 leaves 54 participants. The reported two-group comparison has 51 degrees of freedom, rather than the 52 expected for 54 participants.
“When these outliers were removed from analysis, the groups continued to not significantly differ: working memory training group M = 9.48, SD = 8.01; processing speed training group M = 6.62, SD = 6.47, t(51) = -1.45, p = .15.”
“Therefore, the final analyzed sample consisted of 57 participants (working memory group n = 27, processing speed group n = 30).”
Working-memory correlation range omits a lower value
MinorThe stated range for correlations within the working-memory domain starts at .33, but Table 1 reports a correlation of .25 between Aospan and Digit Span Sequencing.
“Statistically significant correlations were revealed for all measures within the working memory domain (r’s .33-.80, p’s < .001-.02).”
“| DSS | .25** | .35** | .44*** | – | | | | |”
Bayes factor is described as favoring both hypotheses
MinorThe same 4.80:1 Bayes factor is said to favor the alternative hypothesis and a model excluding a main effect of time. The latter description instead supports the stated null finding for that effect.
“the data were 4.80:1 in favour of the alternative hypothesis”
“4.8 times more likely to occur under a model that excluded a main effect of time.”
Processing-speed paired comparison has an incompatible degree of freedom
MinorThe processing-speed group has 30 participants, but the first-to-last-day comparison reports t(30). A paired t-test of 30 participants has 29 degrees of freedom.
“The difference was statistically significant, t(30) = 12.85, p < .001.”
“Therefore, the final analyzed sample consisted of 57 participants (working memory group n = 27, processing speed group n = 30).”
Cites
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971 · cited 2× · see citing works
“Based on a power analysis using G Power [61], given α = 0.”
MethodInfluentialModels of Working Memory: Mechanisms of Active Maintenance and Executive Control
Miyake, A., & Shah, P. (1999) · Cited by 2,404 · see citing works
Improving fluid intelligence with training on working memory
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801268105 · Cited by 2,187 · cited 4× · see citing works
“Based on a previous study which identified trends toward far transfer effects after 12 sessions of dual n-back training [5], study participants with less than 12 sessions were excluded from analysis.”
BackgroundMethodInfluentialAn automated version of the operation span task
Unsworth, N., Heitz, R. P., Schrock, J. C., & Engle, R. W. (2005) · Behavior Research Methods · doi:10.3758/bf03192720 · Cited by 1,861 · see citing works
Default Bayes factors for ANOVA designs
Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2012.08.001 · Cited by 1,800 · cited 1× · see citing works
“The prior scales utilized to establish Bayes Factors were defaults provided by Rouder and colleagues, and created from independent and multivariate Cauchy distributions [51].”
MethodIs working memory training effective? A meta-analytic review
Melby-Lervåg, M., & Hulme, C. (2013) · Developmental Psychology · doi:10.1037/a0028228 · Cited by 1,782 · cited 1× · see citing works
“As suggested in previous reviews, factors associated with dual n-back training related change are in need of exploration and dissemination [53,54].”
BackgroundWhy g matters: The complexity of everyday life
Gottfredson, L. S. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90014-3 · Cited by 1,408 · cited 1× · see citing works
“Furthermore, working memory and fluid intelligence are each, independently, key aspects of overall intelligence [3], which is consistently associated with academic, social, and vocational success [20,21].”
BackgroundWorking memory capacity and its relation to general intelligence
Conway, A. R. A., Kane, M. J., & Engle, R. W. (2003) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.10.005 · Cited by 1,223 · see citing works
Wechsler Abbreviated Scale of Intelligence--Second Edition
Wechsler, D. (2018) · PsycTESTS Dataset · doi:10.1037/t15171-000 · Cited by 1,153 · cited 1× · see citing works
“Baseline intelligence was estimated during an in-person baseline cognitive testing using the Wechsler Abbreviated Scale of Intelligence—Second Edition (WASI-II; [38]) a short, standardized measure of intelligence yielding a full-scale composite score representing general intelligence.”
MethodConway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. B. (2002) · Intelligence · doi:10.1016/s0160-2896(01)00096-4 · Cited by 1,108 · cited 2× · see citing works
“This task is highly correlated with other measures of working memory [33,42].”
BackgroundExperimental designs balanced for the estimation of residual effects of treatments
Williams, E. (1949) · Australian Journal of Scientific Research Series A Physical Sciences · doi:10.1071/ch9490149 · Cited by 1,104 · cited 1× · see citing works
“To reduce carryover and fatigue effects, the administration order of cognitive tasks was counterbalanced [48].”
MethodWhat are the odds? A practical guide to computing and reporting Bayes factors
Jarosz, A. F., & Wiley, J. (2014) · The Journal of Problem Solving · doi:10.7771/1932-6246.1167 · Cited by 1,101 · see citing works
Is working memory training effective?
Shipstead, Z., Redick, T. S., & Engle, R. W. (2012) · Psychological Bulletin · doi:10.1037/a0027473 · Cited by 1,101 · see citing works
Crook, T. H., Bartus, R. T., Ferris, S. H., Whitehouse, P. J., Cohen, G. D., & Gershon, S. (1986) · Developmental Neuropsychology · doi:10.1080/87565648609540348 · Cited by 930 · cited 1× · see citing works
“Exclusion criteria were history of brain trauma, neurological or psychiatric illness, visual or auditory impairment, benzodiazepine or illicit drug use in the past three months, and pathologies associated with cognitive impairment [36].”
BackgroundShort- and long-term benefits of cognitive training
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Shah, P. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1103228108 · Cited by 769 · cited 1× · see citing works
“Other studies demonstrated improvement in near-transfer tasks although no improvement in far transfer [6,8,10,12,15].”
ResultA tutorial on a practical Bayesian alternative to null-hypothesis significance testing
Masson, M. E. J. (2011) · Behavior Research Methods · doi:10.3758/s13428-010-0049-5 · Cited by 752 · see citing works
A theoretical framework for the study of adult cognitive plasticity
Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S., & Schmiedek, F. (2010) · Psychological Bulletin · doi:10.1037/a0020080 · Cited by 731 · cited 2× · see citing works
“As noted in the mismatch model of cognitive plasticity, if a training task is too difficult, the trainee may become overwhelmed and give up [22].”
BackgroundMorrison, A. B., & Chein, J. M. (2011) · Psychonomic Bulletin & Review · doi:10.3758/s13423-010-0034-0 · Cited by 723 · cited 1× · see citing works
“As suggested in previous reviews, factors associated with dual n-back training related change are in need of exploration and dissemination [53,54].”
BackgroundImproving fluid intelligence with training on working memory: a meta-analysis
Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., & Jaeggi, S. M. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0699-x · Cited by 671 · cited 9× · see citing works
“Furthermore, despite Au and colleagues’ [14] attempt to include a wide age range (18–50) in their meta-analysis, healthy adults in dual n-back working memory training studies are consistently of a restricted age range (i.”
BackgroundResultInfluentialRedick, T. S., Shipstead, Z., Harrison, T. L., Hicks, K. L., Fried, D. E., Hambrick, D. Z., Kane, M. J., & Engle, R. W. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0029082 · Cited by 617 · cited 1× · see citing works
“, [5,10,17,24], the 36 test items were split into parallel odd and even forms counterbalanced across participants with the opposite form delivered at post-test.”
BackgroundJaeggi, S. M., Studer-Luethi, B., Buschkuehl, M., Su, Y.-F., Jonides, J., & Perrig, W. J. (2010) · Intelligence · doi:10.1016/j.intell.2010.09.001 · Cited by 509 · cited 4× · see citing works
“The RAPM has been used previously to demonstrate working memory training related change in fluid intelligence [11,17,18,44].”
BackgroundMethodInfluentialAdult age differences in working memory
Dobbs, A. R., & Rule, B. G. (1989) · Psychology and Aging · doi:10.1037/0882-7974.4.4.500 · Cited by 466 · see citing works
The role of individual differences in cognitive training and transfer
Jaeggi, S. M., Buschkuehl, M., Shah, P., & Jonides, J. (2014) · Memory & Cognition · doi:10.3758/s13421-013-0364-z · Cited by 432 · cited 3× · see citing works
“To our knowledge, the only investigated factor impacting motivation is monetary compensation [14,16].”
BackgroundMethodAdult age differences in working memory.
Dobbs, A. R., & Rule, B. G. (1989) · Psychology and Aging · doi:10.1037//0882-7974.4.4.500 · Cited by 389 · cited 1× · see citing works
“However, our null results are more in line with findings that working memory task performance occurs as a monotonic function of age [59].”
ResultWorking memory training in older adults: Evidence of transfer and maintenance effects.
Borella, E., Carretti, B., Riboldi, F., & De Beni, R. (2010) · Psychology and Aging · doi:10.1037/a0020683 · Cited by 328 · see citing works
Complex span and n-back measures of working memory: A meta-analysis
Redick, T. S., & Lindsey, D. R. B. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-013-0453-9 · Cited by 305 · cited 2× · see citing works
“More recently, Redick and Lindsey [56] suggested that “improving the processes involved in nback task performance via repeated practice does not result in changes to the processes involved in complex span performance.”
BackgroundMiyake, A., & Shah, P. (1999) · Cambridge University Press eBooks · doi:10.1017/cbo9781139174909.016 · Cited by 284 · see citing works
Complex span versus updating tasks of working memory: The gap is not that deep.
Schmiedek, F., Hildebrandt, A., Lövdén, M., Wilhelm, O., & Lindenberger, U. (2009) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0015730 · Cited by 277 · cited 1× · see citing works
“” This is despite previous data indicating notable correlations between n-back tasks and complex span tasks [57,58].”
ResultBurgess, G. C., Gray, J. R., Conway, A. R. A., & Braver, T. S. (2011) · Journal of Experimental Psychology: General · doi:10.1037/a0024695 · Cited by 231 · cited 1× · see citing works
“” This is despite previous data indicating notable correlations between n-back tasks and complex span tasks [57,58].”
ResultWorking memory training does not improve intelligence in healthy young adults
Chooi, W.-T., & Thompson, L. A. (2012) · Intelligence · doi:10.1016/j.intell.2012.07.004 · Cited by 209 · see citing works
Failure of Working Memory Training to Enhance Cognition or Intelligence
Thompson, T. W., Waskom, M. L., Garel, K.-L. A., Cardenas-Iniguez, C., Reynolds, G. O., Winter, R., Chang, P., Pollard, K., Lala, N., Alvarez, G. A., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063614 · Cited by 208 · cited 1× · see citing works
“, [5,10,17,25]), remain susceptible to criticism based on the measures chosen to detect change.”
BackgroundSchweizer, S., Hampshire, A., & Dalgleish, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024372 · Cited by 198 · cited 1× · see citing works
“The RAPM has been used previously to demonstrate working memory training related change in fluid intelligence [11,17,18,44].”
MethodMelby-Lervåg, M., & Hulme, C. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0862-z · Cited by 189 · see citing works
Hardy, J. L., Nelson, R. A., Thomason, M. E., Sternberg, D. A., Katovich, K., Farzin, F., & Scanlon, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134467 · Cited by 183 · see citing works
Changes in Cortical Plasticity Across the Lifespan
Freitas, C., Perez, J., Knobel, M., Tormos, J. M., Oberman, L., Eldaief, M., Bashir, S., Vernet, M., Peña-Gómez, C., & Pascual-Leone, A. (2011) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2011.00005 · Cited by 172 · cited 2× · see citing works
“Moreover, given that cognitive plasticity is thought to decline across the aging trajectory [32], middle-age range adults might have a better chance at improving than older adults.”
BackgroundKundu, B., Sutterer, D. W., Emrich, S. M., & Postle, B. R. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.5565-12.2013 · Cited by 161 · see citing works
On the impacts of working memory training on executive functioning
Salminen, T., Strobach, T., & Schubert, T. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00166 · Cited by 148 · see citing works
Working memory training: Improving intelligence – Changing brain activity
Jaušovec, N., & Jaušovec, K. (2012) · Brain and Cognition · doi:10.1016/j.bandc.2012.02.007 · Cited by 142 · cited 1× · see citing works
“The RAPM has been used previously to demonstrate working memory training related change in fluid intelligence [11,17,18,44].”
MethodCanivez, G. L., Konold, T. R., Collins, J. M., & Wilson, G. (2009) · School Psychology Quarterly · doi:10.1037/a0018030 · Cited by 131 · cited 1× · see citing works
“The WASI-II is an update to the original WASI, which has demonstrated convergent and structural validity with more lengthy measures of intelligence [39].”
MethodTranter, L. J., & Koutstaal, W. (2008) · Aging Neuropsychology and Cognition · doi:10.1080/13825580701322163 · Cited by 130 · cited 1× · see citing works
“The CCFT is considered a superior and more specific measure of fluid intelligence compared to measures using only matrix tasks [45,46] and is appropriate for the adults ranging from average to superior intelligence.”
Intelligence: Foundations and issues in assessment
Gottfredson, L., & Saklofske, D. H. (2009) · Canadian Psychology/Psychologie canadienne · doi:10.1037/a0016641 · Cited by 118 · cited 1× · see citing works
“Furthermore, working memory and fluid intelligence are each, independently, key aspects of overall intelligence [3], which is consistently associated with academic, social, and vocational success [20,21].”
BackgroundAu, J., Buschkuehl, M., Duncan, G. J., & Jaeggi, S. M. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0967-4 · Cited by 112 · cited 1× · see citing works
“Au and colleagues countered by arguing that type of control group does not influence the effects of n-back training itself, and assert that their initial conclusions stand up to numerous methods of effect size calculation [29].”
BackgroundColom, R., Román, F. J., Abad, F. J., Shih, P. C., Privado, J., Froufe, M., Escorial, S., Martínez, K., Burgaleta, M., Quiroga, M. A., et al. (2013) · Intelligence · doi:10.1016/j.intell.2013.09.002 · Cited by 112 · cited 1× · see citing works
“Other studies demonstrated improvement in near-transfer tasks although no improvement in far transfer [6,8,10,12,15].”
ResultDual n-back training increases the capacity of the focus of attention
Lilienthal, L., Tamez, E., Shelton, J. T., Myerson, J., & Hale, S. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0335-6 · Cited by 112 · cited 1× · see citing works
“Other studies demonstrated improvement in near-transfer tasks although no improvement in far transfer [6,8,10,12,15].”
ResultNeuroethical issues in cognitive enhancement
Sahakian, B. J., & Morein‐Zamir, S. (2010) · Journal of Psychopharmacology · doi:10.1177/0269881109106926 · Cited by 108 · see citing works
Working memory training and interpreting interactions in intelligence interventions
Redick, T. S. (2015) · Intelligence · doi:10.1016/j.intell.2015.01.014 · Cited by 107 · see citing works
Dougherty, M. R., Hamovitz, T., & Tidwell, J. W. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0865-9 · Cited by 106 · cited 2× · see citing works
“Dougherty and colleagues [27] conducted a Bayesian analysis of Au and colleagues’ data, which supported the null hypothesis of no training effect relative to active-control groups, although acknowledged training effects when passive controls were utilized.”
BackgroundResultStepankova, H., Lukavsky, J., Buschkuehl, M., Kopecek, M., Ripova, D., & Jaeggi, S. M. (2014) · Developmental Psychology · doi:10.1037/a0034913 · Cited by 101 · see citing works
Improved matrix reasoning is limited to training on tasks with a visuospatial component
Stephenson, C. L., & Halpern, D. F. (2013) · Intelligence · doi:10.1016/j.intell.2013.05.006 · Cited by 95 · cited 1× · see citing works
“The RAPM has been used previously to demonstrate working memory training related change in fluid intelligence [11,17,18,44].”
MethodRudebeck, S. R., Bor, D., Ormond, A., O’Reilly, J. X., & Lee, A. C. H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050431 · Cited by 95 · see citing works
Effects of processing speed training on cognitive functions and neural systems
Takeuchi, H., & Kawashima, R. (2012) · Reviews in the Neurosciences · doi:10.1515/revneuro-2012-0035 · Cited by 67 · see citing works
Secular gains in fluid intelligence: Evidence from the culture-fair intelligence test
COLOM, R., & GARCÍA-LÓPEZ, O. (2003) · Journal of Biosocial Science · doi:10.1017/s0021932003000336 · Cited by 42 · cited 1× · see citing works
“The CCFT is considered a superior and more specific measure of fluid intelligence compared to measures using only matrix tasks [45,46] and is appropriate for the adults ranging from average to superior intelligence.”
Differential Age Effects in Load-Dependent Memory Processing
Jaeggi, S. M., Schmid, C. W., Buschkuehl, M., & Perrig, W. J. (2008) · Aging Neuropsychology and Cognition · doi:10.1080/13825580802233426 · Cited by 36 · see citing works
Lilford, R., & Stevens, A. J. (2002) · British journal of surgery · doi:10.1046/j.1365-2168.2002.01989.x · Cited by 31 · see citing works
Cognitive Training as an Intervention to Improve Driving Ability in the Older Adult
Seidler, R. D., Bernard, J. A., Buschkuehl, M., Jaeggi, S. M., Jonides, J. J., & Humfleet, J. (2010) · Cited by 21 · see citing works
The impact of processing speed training on working memory in old adults.
Peng, H., Wen, J., Wang, D., & Gao, Y. (2012) · Journal of Adult Development · doi:10.1007/s10804-012-9142-6 · Cited by 19 · cited 1× · see citing works
“Processing speed training was chosen as an active comparison because only weak associations have been found between processing speed and either fluid intelligence or working memory [33] and no impact of processing speed training has been found on working memory [34].”
BackgroundThe Business and Ethics of the Brain Fitness Boom
Fernández, Á. A. H. (2011) · Generations · Cited by 8 · see citing works
Flagged first, then by citations
2 of the 59 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- ARA Conway, 2003, Trends Cogn Sci, Trends Cogn Sci, 7, 547
- JL Hardy, 2011, Enhancing visual attention and working memory with a web-based cognitive training program, Mensa Research Journal, 42, 13
- D Wechsler, 2008, Wechsler Adult Intelligence Scale—fourth edition technical and interpretative manual
- D Wechsler, 2008, Wechsler Adult Intelligence Scale—fourth edition: Canadian manual
Cited by
Sorted by citations
Kable, J. W., Caulfield, M. K., Falcone, M., McConnell, M., Bernardo, L., Parthasarathi, T., Cooper, N., Ashare, R., Audrain-McGovern, J., Hornik, R., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2832-16.2017 · Cited by 124 · see citing works
“…that demonstrate the effects of cognitive training on measures closely related to the training tasks (near transfer) but no effects on measures that are less closely related (far transfer; Thompson et al., 2013; Cortese et al., 2015; Lawlor-Savage and Goghari, 2016; Melby-Lervåg et al., 2016).”
BackgroundTraining on Working Memory and Inhibitory Control in Young Adults
Maraver, M. J., Bajo, M. T., & Gomez-Ariza, C. J. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00588 · Cited by 96 · see citing works
“…the same training protocol as their experimental counterparts, but they engaged in activities that relied on perceptual abilities and progressively increased their speed demands, without increments in executive load (Peng et al., 2012; Takeuchi and Kawashima, 2012; Lawlor-Savage and Goghari, 2016).”
BackgroundWilson, D. M., & Gross, D. A. (2018) · Journal of School Health · doi:10.1111/josh.12612 · Cited by 92 · see citing works
N ‐back training and transfer effects revealed by behavioral responses and EEG
Pergher, V., Wittevrongel, B., Tournoy, J., Schoenmakers, B., & Hulle, M. M. V. (2018) · Brain and Behavior · doi:10.1002/brb3.1136 · Cited by 71 · see citing works
The role of strategy use in working memory training outcomes
Fellman, D., Jylkkä, J., Waris, O., Soveri, A., Ritakallio, L., Haga, S., Salmi, J., Nyman, T. J., & Laine, M. (2020) · Journal of Memory and Language · doi:10.1016/j.jml.2019.104064 · Cited by 64 · see citing works
Abbasi, A. M., Motamedzade, M., Aliabadi, M., Golmohammadi, R., & Tapak, L. (2020) · Applied Ergonomics · doi:10.1016/j.apergo.2020.103189 · Cited by 67 · see citing works
Divergent Research Methods Limit Understanding of Working Memory Training
Pergher, V., Shalchy, M. A., Pahor, A., Van Hulle, M. M., Jaeggi, S. M., & Seitz, A. R. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-019-00134-7 · Cited by 56 · see citing works
Davis, J. C., Best, J. R., Khan, K. M., Dian, L., Lord, S. R., Delbaere, K., Hsu, C. L., Cheung, W., Chan, W., & Liu-Ambrose, T. Y. L. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.14830 · Cited by 58 · see citing works
“Recent evidence from randomized control trials suggests that interventions that practice reading, simple arithmetic and working memory tasks improved processing speed among healthy older adults.(43,49)”
BackgroundMedina, R., Bouhaben, J., de Ramón, I., Cuesta, P., Antón‐Toro, L. F., Pacios, J., Quintero, J., Ramos‐Quiroga, J. A., & Maestú, F. (2021) · Journal of Medical Internet Research · doi:10.2196/25466 · Cited by 57 · see citing works
“…that digital cognitive exercises do not show effects superior to those found in other commercial video games not intended for therapeutic uses [37,69,70], these findings, like those reported by Davis et al [41] and Kollins et al [42], seem to indicate that adaptive digital training, built on a…”
Can SMART Training Really Increase Intelligence? A Replication Study
Colbert, D., Tyndall, I. T., Roche, B. T., & Cassidy, S. (2018) · Journal of Behavioral Education · doi:10.1007/s10864-018-9302-2 · Cited by 40 · see citing works
“Furthermore, a number attempts at replicating these results have not been successful (Chooi & Thompson, 2012; Lawlor-Savage & Goghari, 2016; Owen et al., 2010; Redick, 2015).”
BackgroundGoghari, V. M., & Lawlor‐Savage, L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00039 · Cited by 38 · see citing works
“Three games were chosen in each domain to reduce boredom, which was a potential problem in a previous study (Lawlor-Savage and Goghari, 2016), and to provide more comprehensive training within the cognitive domain.”
BackgroundSelf-citationEffects of cognitive training on the structure of intelligence
Protzko, J. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1196-1 · Cited by 34 · see citing works
“In addition, some studies use truncated tests or tests only using half of the items (e.g., Lawlor-Savage & Goghari, 2016), which can lower the reliability of the tests, harming interpretability.”
BackgroundSchwartz, B., Kapellusch, J. M., Baca, A., & Wessner, B. (2019) · Ergonomics · doi:10.1080/00140139.2019.1577497 · Cited by 33 · see citing works
Prediction of occupational exposure limits for noise-induced non-auditory effects
Golmohammadi, R., Darvishi, E., Motlagh, M. S., et al. (2021) · Applied Ergonomics · doi:10.1016/j.apergo.2021.103641 · Cited by 30 · see citing works
Clark, C. M., Lawlor‐Savage, L., & Goghari, V. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177707 · Cited by 31 · see citing works
Self-citationTeixeira-Santos, A. C., Moreira, C. S., Pereira, D. R., Pinal, D., Fregni, F., Leite, J., Carvalho, S., & Sampaio, A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.827188 · Cited by 27 · see citing works
Li, G., Chen, Y. S., Le, T. M., Wang, W., Tang, X., & Li, C. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-89433-8 · Cited by 23 · see citing works
Grinberg, A., Egglefield, D. A., Schiff, S., Motter, J. N., & Sneed, J. R. (2021) · Journal of Cognitive Enhancement · doi:10.1007/s41465-021-00209-4 · Cited by 22 · see citing works
Weicker, J., Hudl, N., Frisch, S., Lepsien, J., Mueller, K., Villringer, A., & Thöne-Otto, A. I. T. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00247 · Cited by 22 · see citing works
R., S. D. (2017) · i-manager’s Journal on Educational Psychology · doi:10.26634/jet.14.3.13860 · Cited by 20 · see citing works
Guo, A., Yang, W., Yang, X., Lin, J., Li, Z., Ren, Y., Yang, J., & Wu, J. (2023) · Brain Sciences · doi:10.3390/brainsci13070992 · Cited by 16 · see citing works
“These results align with the previous studies that reported greater accuracy and faster RT following working memory training [6,37,38].”
ResultBoujut, A., Verty, L. V., Maltezos, S., Lussier, M., Mellah, S., Bherer, L., & Belleville, S. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.606873 · Cited by 15 · see citing works
“No study has reported transfer to complex WM tasks for inhibition and only one study foundWM transfer of updating training in older adults (16), while other studies have reported no transfer (7, 15, 17).”
BackgroundStuder-Luethi, B., Bösch, V. D., Lusti, S., & Meier, B. (2022) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2022.2105298 · Cited by 15 · see citing works
Zanini, G. D. A. V., Miranda, M. C., Cogo‐Moreira, H., Nouri, A., Fernández, A. L., & Pompéia, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.627219 · Cited by 11 · see citing works
“A possible solution is enabling testees to control stimuli presentation and response time by using self-paced tasks (e.g., McMillan et al., 2007; Lawlor-Savage and Goghari, 2016), as proposed here.”
BackgroundSteinberg, S. N., Malins, J. G., Liu, J., & King, T. Z. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108280 · Cited by 12 · see citing works
Zhao, X., Ji, C., Zhang, C., Huang, C., Zhou, Y., & Wang, L. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-04917-3 · Cited by 13 · see citing works
“Besides, we employed a wait-list control group instead of an active control group, as a previous study showed that the effect size might be similar between active control and passive control [62].”
MethodMičič, S., Horvat, M., & Bakračevič, K. (2019) · Current Aging Science · doi:10.2174/1874609812666190819125542 · Cited by 11 · see citing works
Exploring the n-back task: insights, applications, and future directions
Huang, S., Chen, C., Mo, Y., Zhao, Y., Zhu, Y., Dong, K., & Xu, T. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1721330 · Cited by 16 · see citing works
Mridula, J., George, V. M., Bajaj, G., Namratha, H. G., & Bhat, J. S. (2017) · Cogent Psychology · doi:10.1080/23311908.2017.1416885 · Cited by 12 · see citing works
“Working memory training effects have been reported even on far transfer tasks like fluid intelligence in middle-aged adults in the age range of 30 to 60 years (Lawlor-Savage & Goghari, 2016).”
BackgroundZhu, D., Zhu, B., Zhao, J., Zhang, C., He, J., Song, D., & Han, T. (2024) · Games for Health Journal · doi:10.1089/g4h.2022.0183 · Cited by 9 · see citing works
“27 and in line with previous research.”
Jaquerod, M. E., Mesrobian, S. K., Villa, A. E. P., Bader, M., & Lintas, A. (2020) · Brain Sciences · doi:10.3390/brainsci10010038 · Cited by 11 · see citing works
Stavroulaki, V., Giakoumaki, S. G., & Sidiropoulou, K. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111415 · Cited by 7 · see citing works
Studer-Luethi, B., & Meier, B. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00202-3 · Cited by 9 · see citing works
de Ramón, I., Pacios, J., Medina, R., Bouhaben, J., Cuesta, P., Antón‐Toro, L. F., Quintero, J., Ramos‐Quiroga, J. A., & Maestú, F. (2022) · Brain Communications · doi:10.1093/braincomms/fcac038 · Cited by 7 · see citing works
“However, whether digital versions of those treatments were equally effective was still under controversy.(54,55) Two recent studies have shown that empirically based digital training could indeed be effective in reducing cognitive symptomatology of ADHD.”
BackgroundFeasibility of using a computer-assisted working memory training program for healthy older women
Ghavidel, F., Fadardi, J. S., Gatto, N. M., Sedaghat, F., & Tabibi, Z. (2020) · Cognitive Processing · doi:10.1007/s10339-020-00975-7 · Cited by 7 · see citing works
Hansen, P., & Oxoby, R. J. (2017) · Connection Science · doi:10.1080/09540091.2016.1277692 · Cited by 7 · see citing works
“Such working memory processes include attending to and mentally manipulating information while suppressing distractions (Lawlor-Savage & Goghari, 2016; Miyake & Shah, 1999), both of which are involved in the task of futuring memory.”
Background(2018) · i-manager’s Journal on Educational Psychology · doi:10.26634/jet.15.1.14618 · Cited by 7 · see citing works
“Symbols in working memory procedures are often presented as self-paced, and once a response is recorded the next symbol appears (Lawlor-Savage and Goghari, 2016).”
BackgroundSingle-Trial EEG Responses Classified Using Latency Features
Hardiansyah, I., Pergher, V., & Hulle, M. M. V. (2020) · International Journal of Neural Systems · doi:10.1142/s0129065720500331 · Cited by 6 · see citing works
Zheng, H., Luo, Y. G., Hu, B., et al. (2020) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181320641416 · Cited by 6 · see citing works
Memory dual N-back training using mobile devices and its effect on working memory capacity
Dziura, N., & Ślebarska, K. (2024) · Current Psychology · doi:10.1007/s12144-024-05756-5 · Cited by 4 · see citing works
“Although many studies use the same tool for training and measurement (cf. Lawlor-Savage & Goghari, 2016), it may be problematic for interpreting the obtained effects.”
Żelechowska, D., Sarzyńska‐Wawer, J., & Nȩcka, E. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5040036 · Cited by 4 · see citing works
Peer-reviewed working memory training
Brooks, S. J., Funk, S. G., Rabier, C., & Schiöth, H. B. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815298-0.00018-6 · Cited by 3 · see citing works
No evidence for an effect of a working memory training program on white matter microstructure
Lawlor‐Savage, L., Kusi, M., Clark, C. M., & Goghari, V. M. (2021) · Intelligence · doi:10.1016/j.intell.2021.101541 · Cited by 5 · see citing works
Self-citationCorrelation between Unconscious Mouse Actions and Human Cognitive Workload
Cha, G.-E., & Min, B. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts · doi:10.1145/3491101.3519658 · Cited by 3 · see citing works
“Unlike the traditional way of answering two matches by clicking a button on the Graphic User Interface (GUI) or hitting keyboard [18, 21] as shown in Fig.”
MethodZhang, H., Chen, K., Xu, P., & Zhao, X. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120358 · Cited by 3 · see citing works
Cognitive and Emotional Monitoring with Inexpensive Wrist-Worn Consumer-Grade Wearables
Wu, Y., Valdez, R., & Forlines, C. (2023) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomworkshops56833.2023.10150338 · Cited by 2 · see citing works
“The second activity was a standard assessment of working memory in cognitive neuroscience named N-back [22].”
BackgroundVerty, L. V., Mellah, S., Maltezos, S., Boujut, A., Lussier, M., Bherer, L., & Belleville, S. (2024) · Cortex · doi:10.1016/j.cortex.2024.04.013 · Cited by 2 · see citing works
Somaa, F. A., Khan, A., & Arafah, A. M. (2025) · Journal of Pharmacy And Bioallied Sciences · doi:10.4103/jpbs.jpbs_281_25 · Cited by 2 · see citing works
Zanini, G. D. A. V., Miranda, M. C., Cogo‐Moreira, H., Nouri, A., Fernández, A. L., & Pompéia, S. (2020) · doi:10.31234/osf.io/qznpt · Cited by 1 · see citing works
No effect of mental fatigue on perceived hand weight
Pizzolla, E., Fiorio, M., Marotta, A., Ferrè, E. R., & Longo, M. R. (2025) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218251361426 · Cited by 1 · see citing works
“The second task followed the classic N-back paradigm (Kirchner, 1958; Lawlor-Savage & Goghari, 2016), presenting a sequence of letters.”
Modulation of a Rubber Hand Illusion by Different Levels of Mental Workload: An EEG Study
Tonoyan, Y., Maludrottu, S., Boccardo, N., Berdondini, L., Laffranchi, M., & Barresi, G. (2025) · Applied Sciences · doi:10.3390/app15179682 · Cited by 1 · see citing works
Alhwaiti, M. (2026) · Applied Neuropsychology Adult · doi:10.1080/23279095.2026.2626517 · Cited by 1 · see citing works
The Mindset of Intelligence Is Not a Contributor of Placebo Effects in Working Memory Training
Liu, P., Zhang, X., & Zhou, R. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.712309 · Cited by 1 · see citing works
Effect of Working Memory Training on Fluid Intelligence
Alvarado, A. Y. (2022) · Asian Journal of Education and Social Studies · doi:10.9734/ajess/2022/v30i330720 · Cited by 1 · see citing works
“These programs emphasize the importance of memory techniques to have an edge in life [7-9].”
BackgroundGathercole, S. E., Dunning, D. L., Holmes, J., & Norris, D. G. (2018) · Data in Brief · doi:10.1016/j.dib.2018.11.040 · Cited by 1 · see citing works
“[16] Adults None 15 15 Lawlor-Savage, Goghari [17] Adults None 27 30 Metzler-Baddeley et al [18] Adults None 20 20 Minear et al.”
BackgroundThe asymmetry of working memory training transfer: A systematic review and meta-analysis
Fu, J., Zhou, Y., Yuan, M., & Cai, Y. (2026) · Psychonomic Bulletin & Review · doi:10.3758/s13423-026-02994-5
Neuroanatomical Changes Associated with Working Memory Training in Healthy Adults
Lawlor‐Savage, L. (2018) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/32054
Hay w wykonaniu House’a. Ocena zasad kreacji i wymagań poznawczych systemów performatywnych
Hansen, P., & House, C. (2017) · Wydawnictwo Uniwersytetu Łódzkiego eBooks · doi:10.18778/8088-820-3.06
Grinberg, A. (2020) · CUNY Academic Works (City University of New York)
mahmoudiaghdam, M., Soleymani, E., & Isazadegan, A. (2021) · Scientific Journal of Kurdistan University of Medical Sciences · doi:10.52547/sjku.26.1.111
Dehghan, P., Nasab, S. M. H. M., & Meimand, H. E. (2022) · Cognitie, Creier, Comportament · doi:10.24193/cbb.2022.26.02
“However, Lawlor-Savage and Goghari (2016) found no improvement in working memory and fluid intelligence resulting from applying n-back training in healthy adults.”
BackgroundComputer-assisted Cognitive Training Tools
Heaton, K. J., Hildebrandt, A. M., Ekon, N., & Beatty, E. L. (2024) · Routledge eBooks · doi:10.4324/9781003378969-10
Dyer, J., Barbey, F. M., Ghoshal, A., Hake, A. M., Hansen, B. J., Islam, M. N., Jaeger, J., Kozak, R., Marston, H. M., Moss, M. B., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/55469
“Strong practice effects in healthy participants have previously been reported on N-back tasks, which appear to be primarily procedural in nature [58].”
Ali, D. S., Soliman, N. M., El-Badramany, M. A., & Khalifa, M. E. (2025) · Cognitie, Creier, Comportament · doi:10.24193/cbb.2025.29.12
Embodied Archives of Complex Motor Action
Bläsing, B. E. (2026) · doi:10.1093/9780197575017.003.0026
Karlsson, C. D., & Liang, Z. (2026) · doi:10.2196/preprints.93525
Estimating Mental Effort in Virtual Reality Using Multimodal Biosignals
Otono, R., Chen, J., Karai, Z., et al. (2026) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw70859.2026.00312
“To systematically induce graded levels of mental effort in VR, we employed an N-back task [2], which manipulates cognitive load by varying the number of items subjects must maintain in memory.”
Student intrinsic motivational states underlie cognitive performance regardless of academic stage
Hanzal, S., Kelly, E., & Baughan, H. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1896397
Liang, Z., & Karlsson, C. D. (2026) · JMIR Research Protocols · doi:10.2196/93525
“The N-back task [31,32] will be administered solely as a baseline measure of working memory capacity and will be used as a moderator in subsequent analyses.”
- Authors
- Lawlor-Savage, L., & Goghari, V. M.
- Affiliations
- University of Calgary (CA)
- Corresponding author
- Goghari, Vina M.
- ORCID
- Goghari, Vina M.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-04-04
- Volume
- 11
- Issue
- 4
- Pages
- e0151817
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4820261
- OpenAlex
- W2340060279
- Semantic Scholar
- 985ad900567c0aaeee1ef51feaf36c48a0963c3b
- Cited by
- 74
- References
- 59
- Citations by year
- 2026: 9 · 2025: 7 · 2024: 7 · 2023: 3 · 2022: 7 · 2021: 8 · 2020: 10 · 2019: 5 · 2018: 7 · 2017: 9 · 2016: 2
- FWCI
- 10.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Canadian Psychological Association
- Alberta Innovates
- Canadian Institutes of Health Research
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- working memory training, fluid intelligence, middle-aged adults, cognitive enhancement, online training, training effects, cognitive aging
- MeSH terms
- Adult, Cognition, Female, Humans, Male, Memory, Short-Term, Middle Aged
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-08.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-08.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review