Nearest transfer effects of working memory training: A comparison of two programs focused on working memory updating
Open accessAbstract
This study analyzed the mechanisms involved in possible transfer effects for two different working memory updating (WMU) training programs administered to young adults and based on two updating paradigms: n-back and arithmetical updating. The influence of practice distribution on transfer effects was also explored by including two training regimens: massed and spaced practice. Performance on different WMU tasks more or less structurally similar to the tasks used in the training was assessed to analyze the nearest transfer effects. Near and far transfer effects were tested using complex working memory (WM) and fluid intelligence tasks. The results showed that the WMU training produced gains in only some of the WMU tasks structurally similar to those used in the training, not in those lacking the same structure, or in WM or fluid intelligence tasks. These limited nearest transfer effects suggest that gains could be due to the acquisition of a specific strategy appropriate for the task during the training rather than to any improvement in the updating process per se. Performance did not differ depending on the training regimen.
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Written from the paper’s full text.
TL;DR
Two working-memory updating (WMU) training programs in young adults produced only limited nearest transfer, mainly to structurally similar tasks within the same updating paradigm. The pattern suggests gains may reflect task-specific strategy acquisition rather than a general improvement in WMU, and practice distribution did not consistently affect transfer.
Key findings
- Arithmetical training improved the trained arithmetical updating task (Mdiff = 13.59) more than n-back training (Mdiff = 1.50) or active control (Mdiff = −1.29), and also improved the structurally similar categorical updating task (Mdiff = 13.16 vs. 5.04 and 4.43, respectively).
- N-back training improved the trained numerical n-back task (Mdiff = 0.92) more than arithmetical training (Mdiff = 0.24) or active control (Mdiff = 0.14), but did not improve the structurally similar categorical n-back task (Mdiff = 0.29 vs. 0.08 and 0.23).
- No near transfer appeared on operation span (Mdiff = 10.60 arithmetical, 8.23 n-back, 3.35 control) and no far transfer on the Cattell test (Mdiff = 2.10, 0.58, 1.76).
- Practice distribution effects were inconsistent: spaced practice was better in arithmetical updating and Bejeweled during training, while massed practice showed larger numerical n-back gains in one comparison (Mdiff = 0.68 vs. 0.48); motivation increased with massed practice and decreased with spaced practice, but did not affect performance.
Methods
- Pretest–posttest training study with 193 psychology and social work undergraduates (Mage = 21.36, SD = 3.49; 40 males, 153 females), randomly assigned to six groups: arithmetical training, n-back training, or active control, each with massed or spaced practice.
- Training lasted six sessions; massed groups completed all sessions in one week, spaced groups attended twice weekly for three weeks. Transfer tasks included arithmetical updating, categorical updating, numerical n-back, categorical n-back, operation span, and Cattell fluid intelligence.
- Analyses used mixed-design ANOVAs for training gains and 2 × 2 ANOVAs on pretest-to-posttest gains, with effect sizes (Cohen’s d) also reported.
Limitations
- The paper states that the training consisted of only six sessions, that no strategy-use information was collected, that practice-distribution results were not conclusive, and that motivation groups were not matched at baseline.
- Evident from the text: the sample was young adult Spanish university students, mostly female, so generalization to other ages, educational backgrounds, or genders is limited.
- Evident from the text: self-perceived improvement was assessed by self-report and did not consistently correspond to objective performance, and the active control used casual video games rather than a cognitively matched control.
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Claims the paper makes
0 of 70 cited sources checked · 0 supported · 0 flagged
- Findingown data
Performance did not differ depending on the training regimen.
“Performance did not differ depending on the training regimen.”
Quote in the paperSubstantial claim - Findingown data
For the Dodge the Meteor game, the main effect of session was significant (F(5, 310) = 13.26, p < .001, η2p = .18).
“For the Dodge the Meteor game, the main effect of session was significant, F(5, 310) = 13.26, p < .001, ŋ2p = .18.”
Quote in the paperSubstantial claim - Findingown data
For the categorical updating task, the arithmetical training group showed larger gains (Mdiff = 13.16) than the n-back training group (Mdiff = 5.04) or the active control group (Mdiff = 4.43).
“For the categorical updating task, the arithmetical training group showed larger gains (Mdiff = 13.16) than the n-back training group (Mdiff = 5.04) or the active control group (Mdiff = 4.43).”
Quote in the paperSubstantial claim - Findingown data
The quadratic component for session in the numerical n-back task was significant (F(1, 61) = 16.44, p < .001, η2p = .21), accounting for 4.62% of the variance.
“The quadratic component, F(1, 61) = 16.44, p < .001, ŋ2p = .21, also reached significance, accounting for 4.62% of the variance.”
Quote in the paperNot a substantial claim - Findingown data
The interaction between session and practice distribution was not significant for the Bejeweled game (p > .697).
“The interaction between session and practice distribution was not significant (p > .697)”
Quote in the paperNot a substantial claim
- Findingown data
Performance gains for the n-back and active control groups on the categorical updating task did not differ.
“Performance gains for the latter two groups did not differ.”
Quote in the paperSubstantial claim - Findingown data
The interaction between session and practice distribution was significant for the arithmetical updating task (F(5, 310) = 3.66, p = .003, η2p = .06).
“the interaction between session and practice distribution was significant, F(5, 310) = 3.66, p = .003, ŋ2p = .06.”
Quote in the paperNot a substantial claim - Findingown data
The quadratic component for session in the number size updating task was significant (F(1, 62) = 31.03, p < .001, η2p = .33), explaining 12.42% of the variance.
“The quadratic component, F(1, 62) = 31.03, p < .001, ŋ2p = .33, and the cubic component, F(1, 62) = 7.82, p = .007, ŋ2p = .11, were significant as well, explaining 12.42% and 2.29% of the variance, respectively.”
Quote in the paperNot a substantial claim - Findingown data
The linear component for session in the letter n-back task was significant (F(1, 61) = 140.98, p < .001, η2p = .70), accounting for 92.97% of the variance.
“The trend analysis revealed that the linear component, F(1, 61) = 140.98, p < .001, ŋ2p = .70, the quadratic component, F(1, 61) = 22.04, p < .001, ŋ2p = .27, and the cubic component, F(1, 61) = 7.51, p = .008, ŋ2p = .11, were all significant, accounting for 92.97%, 6.30% and 0.60% of the variance, respectively.”
Quote in the paperNot a substantial claim - Findingown data
The gain in the n-back training group did not differ significantly from that of the active control group on the arithmetical updating task.
“The gain in the n-back training group did not differ significantly from that of the active control group.”
Quote in the paperSubstantial claim - Findingown data
The quadratic component for session in the letter n-back task was significant (F(1, 61) = 22.04, p < .001, η2p = .27), accounting for 6.30% of the variance.
“The trend analysis revealed that the linear component, F(1, 61) = 140.98, p < .001, ŋ2p = .70, the quadratic component, F(1, 61) = 22.04, p < .001, ŋ2p = .27, and the cubic component, F(1, 61) = 7.51, p = .008, ŋ2p = .11, were all significant, accounting for 92.97%, 6.30% and 0.60% of the variance, respectively.”
Quote in the paperNot a substantial claim - Findingown data
In arithmetical updating, improvement from Session 1 to Session 6 was slightly more pronounced after spaced practice (Mdiff = 1.80) than after massed practice (Mdiff = 1.27).
“This interaction showed a slightly more pronounced improvement in performance after training with a spaced practice (Session 6 –Session 1) than after a massed practice (Mdiff = 1.80; Mdiff = 1.27, respectively).”
Quote in the paperNot a substantial claim - Findingown data
The linear component for session in the Dodge the Meteor game was significant (F(1, 62) = 41.10, p < .001, η2 = .40), explaining 93.04% of the variance.
“The trend analysis revealed a significant linear component for session, F(1, 62) = 41.10, p < .001, ŋ2 = .40, which explained 93.04% of the variance.”
Quote in the paperNot a substantial claim - Findingown data
There was a significant effect of session on the number size updating task (F(5, 310) = 57.87, p < .001, η2p = .48).
“The effect of session was significant for the number size updating task too, F(5, 310) = 57.87, p < .001, ŋ2p = .48.”
Quote in the paperSubstantial claim - Findingown data
There was a significant effect of session on the arithmetical updating task (F(5, 310) = 72.64, p < .001, η2p = .54).
“An effect of session was found for the arithmetical updating task, F(5, 310) = 72.64, p < .001, ŋ2p = .54”
Quote in the paperSubstantial claim - Findingown data
The analysis of performance in the categorical n-back task showed no differences in the gains made by any of the groups (arithmetical training: Mdiff = 0.08, n-back training: Mdiff = 0.29, and active control: Mdiff = 0.23).
“the analysis of performance in the categorical n-back task showed no differences in the gains made by any of the groups (arithmetical training: Mdiff = 0.08, n-back training: Mdiff = 0.29, and active control: Mdiff = 0.23).”
Quote in the paperSubstantial claim - Findingown data
There was a significant effect of session on the numerical n-back task (F(5, 305) = 83.89, p < .001, η2p = .58).
“For the numerical n-back task, the effect of session was significant, F(5, 305) = 83.89, p < .001, ŋ2p = .58.”
Quote in the paperSubstantial claim - Findingown data
The linear component for session in the numerical n-back task was significant (F(1, 61) = 145.73, p < .001, η2p = .70), explaining 95.02% of the variance.
“A trend analysis revealed a significant linear component for session, F(1, 61) = 145.73, p < .001, ŋ2p = .70, which explained 95.02% of the variance.”
Quote in the paperNot a substantial claim - Findingown data
The linear component for session in the number size updating task was significant (F(1, 62) = 144.17, p < .001, η2p = .70), accounting for 84.95% of the variance.
“the linear component reached significance, F(1, 62) = 144.17, p < .001, ŋ2p = .70, accounting for 84.95% of the variance.”
Quote in the paperSubstantial claim - Findingown data
There was a significant main effect of session on the letter n-back task (F(5, 305) = 86.26, p < .001, η2p = .59).
“A significant main effect of session was found for the letter n-back task too, F(5, 305) = 86.26, p < .001, ŋ2p = .59.”
Quote in the paperSubstantial claim - Findingown data
The main effect of practice distribution was not significant for the arithmetical updating task (p = .389).
“The main effect of practice distribution was not significant (p = .389)”
Quote in the paperNot a substantial claim - Findingown data
The interaction between session and practice distribution for arithmetical updating was explained by the interaction between the linear trend for session and practice distribution (F(1, 62) = 8.96, p = .004, η2p = .13).
“This was explained by the interaction between the linear trend for session and practice distribution, F(1, 62) = 8.96, p = .004, ŋ2p = .13.”
Quote in the paperNot a substantial claim - Findingown data
No near or far transfer effects came to light in the present study.
“No near or far transfer effects came to light in the present study.”
Quote in the paperSubstantial claim - Findingown data
The n-back and arithmetical training groups scored higher on the assessment tasks associated with the same paradigm as the tasks used in their training.
“the n-back and arithmetical training groups scored higher on the assessment tasks associated with the same paradigm as the tasks used in their training.”
Quote in the paperSubstantial claim - Findingown data
The active control group obtained lower scores than the training groups across all tasks.
“The active control group obtained lower scores than the training groups across all tasks.”
Quote in the paperSubstantial claim - Findingown data
There was a significant main effect of group on self-perceived improvement for all assessment tasks (arithmetical updating, numerical n-back, categorical updating, categorical n-back, operation span, and Cattell).
“A 3 (Group: arithmetical, n-back, active control) x 2 (Practice distribution: massed, spaced) ANOVA showed a significant main effect of group for all tasks”
Quote in the paperNot a substantial claim - Findingown data
Performance gains in a classical complex operation span and a reasoning task (the Cattell test) were much the same among groups.
“Performance gains in a classical complex operation span, and a reasoning task (the Cattell test) were much the same among groups.”
Quote in the paperSubstantial claim - Findingown data
The groups' performance gains in the Cattell test did not differ statistically (arithmetical training: Mdiff = 2.10, n-back training: Mdiff = 0.58, and active control: Mdiff = 1.76).
“The groups’ performance gains in the Cattell test did not differ statistically (arithmetical training: Mdiff = 2.10, n-back training: Mdiff = 0.58, and active control: Mdiff = 1.76).”
Quote in the paperSubstantial claim - Findingown data
In the other tasks, the n-back and arithmetical training groups did not differ significantly.
“In the other tasks, the n-back and arithmetical training groups did not differ significantly.”
Quote in the paperSubstantial claim - Findingown data
The n-back group only showed a large effect for the same trained task.
“The n-back group only showed a large effect for the same trained task.”
Quote in the paperSubstantial claim - Findingown data
For the operation span task, there were no differences in the groups' performance gains (arithmetical training: Mdiff = 10.60, n-back training: Mdiff = 8.23, and active control: Mdiff = 3.35).
“For the operation span task, there were no differences in the groups’ performance gains (arithmetical training: Mdiff = 10.60, n-back training: Mdiff = 8.23, and active control: Mdiff = 3.35).”
Quote in the paperSubstantial claim - Findingown data
There were small or moderate effects in almost all tasks, irrespective of the group.
“In addition to these large effects, there were small or moderate effects in almost all tasks, irrespective of the group.”
Quote in the paperNot a substantial claim - Findingown data
Only the interaction between session and practice distribution was significant for motivation (F(2, 370) = 4.35, p = .014, η2p = .02).
“Only the interaction between session and practice distribution was significant, F(2, 370) = 4.35, p = .014, ŋ2p = .02.”
Quote in the paperNot a substantial claim - Findingown data
Practice distribution may influence motivation during the period of training, since participants' level of motivation increased with massed practice and decreased with spaced practice.
“Practice distribution may influence motivation during the period of training, however, since our participants’ level of motivation increased with massed practice and decreased with spaced practice.”
Quote in the paperNot a substantial claim - Findingown data
Our results failed to reveal a clear pattern in practice distribution effects.
“Our results also failed to reveal a clear pattern.”
Quote in the paperSubstantial claim - Findingown data
Spaced practice during the training was more effective than massed practice in two of six tasks (arithmetical updating and the Bejeweled game).
“On the one hand, spaced practice during the training was more effective than massed practice in two of six tasks (arithmetical updating and the Bejeweled game).”
Quote in the paperSubstantial claim - Findingown data
Our findings show that our WMU training programs produced only specific improvements in WMU tasks very similar to those trained.
“Our findings show that our WMU training programs produced only specific improvements in WMU tasks very similar to those trained.”
Quote in the paperSubstantial claim - Premisecitation
Transfer occurs mainly when training and transfer tasks activate overlapping brain regions.
“This is consistent with the idea that transfer occurs mainly when training and transfer tasks activate overlapping brain regions [26, 35–37].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [26] E Dahlin, 2008, Transfer of learning after updating training mediated by the striatum, Science source
Not checked in the free run.
- cites [35] EL Beatty, 2015, Transfer of training from one working memory task to another: behavioural and neural evidence, Frontiers in Systems Neuroscience source
Not checked in the free run.
- cites [36] J. Jonides, 2004, How does practice makes perfect?, Nature Neuroscience source
Not checked in the free run.
- cites [37] T Salminen, 2016, Transfer after Dual <italic>n</italic>-Back Training Depends on Striatal Activation Change, Journal of Neuroscience source
Not checked in the free run.
- Interpretationown data
The limited nearest transfer effects suggest that gains could be due to the acquisition of a specific strategy appropriate for the task during the training rather than to any improvement in the updating process per se.
“These limited nearest transfer effects suggest that gains could be due to the acquisition of a specific strategy appropriate for the task during the training rather than to any improvement in the updating process per se.”
Quote in the paperSubstantial claim - Premisecitation
In WM training studies, evidence of the practice distribution effect is scarce and inconsistent.
“In the context of WM training studies, however, evidence of the practice distribution effect is scarce and inconsistent.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [44] IK Penner, 2012, Computerised working memory training in healthy adults: A comparison of two different training schedules, Neuropsychological Rehabilitation source
Not checked in the free run.
- cites [43] TP Alloway, 2013, Computerized working memory training: Can it lead to gains in cognitive skills in students?, Computers in Human Behavior source
Not checked in the free run.
- Premisecitation
Both n-back and arithmetical updating paradigms involve constituent processes of WMU, such as information retrieval and substitution.
“Both paradigms also involve constituent processes of WMU, such as information retrieval and substitution [49].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [49] UK Ecker, 2010, The components of working memory updating: an experimental decomposition and individual differences, Journal of Experimental Psychology: Learning, Memory, and Cognition
Not checked in the free run.
- Study design and conductcitation
An active control group was included to control for experiment-related variables such as contact with the experimenter or assessment context.
“An active control group was included in the study, as recommended by the literature (e.g., [20, 23]) to control for other experiment-related variables, such as contact with the experimenter or assessment context.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20] MR Dougherty, 2016, Reevaluating the effectiveness of <italic>n</italic>-back training on transfer through the Bayesian lens: Support for the null, Psychonomic Bulletin & Review source
Not checked in the free run.
- cites [23] DJ Simons, 2016, Do “brain-training” programs work?, Psychological Science in the Public Interest source
Not checked in the free run.
- Study design and conductown data
The six groups did not differ on any of the tasks at pretest (p > .369).
“The results revealed no between-group differences at pretest for any of the measures of interest (p > .369).”
Quote in the paperSubstantial claim - Premisecitation
The n-back and arithmetical updating tasks tap the same process, WMU.
“The n-back and arithmetical updating tasks were chosen as training tasks because they tap the same process, i.e., WMU. Both types of updating task have been considered as indicators of the same latent factor [47].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [47] F Schmiedek, 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.
- cites [48] O Wilhelm, 2013, What is working memory capacity, and how can we measure it?, Frontiers in Psychology source
Not checked in the free run.
- Interpretationcitation
Our results reflect those of other studies reporting no transfer effects to complex WM tasks.
“Our results reflect those of other studies reporting no transfer effects to complex WM tasks [8, 9, 11, 27].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [8] S Jaeggi, 2008, Improving fluid intelligence with training on working memory, Proceedings of the National Academy of Sciences source
Not checked in the free run.
- cites [9] SC Li, 2008, Working memory plasticity in old age: practice gain, transfer, and maintenance, Psychology and Aging source
Not checked in the free run.
- cites [11] L Lilienthal, 2013, Dual <italic>n</italic>-back training increases the capacity of the focus of attention, Psychonomic Bulletin & Review source
Not checked in the free run.
- cites [27] E Dahlin, 2008, Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance, Psychology and Aging source
Not checked in the free run.
- Interpretationreasoning
Strategy use may have a crucial role in nearest transfer.
“Strategy use may have a crucial role when it comes to nearest transfer.”
Quote in the paperSubstantial claim - Interpretationown data
There was no evidence of nearest transfer between the two updating paradigms used to train participants in the present study.
“There was no evidence of nearest transfer between the two updating paradigms used to train participants in the present study.”
Quote in the paperSubstantial claim - Interpretationreasoning
The differences between the arithmetical and categorical updating tasks were superficial, involving the type of material and the operations required.
“The differences between the tasks were superficial, involving the type of material (numbers vs. letters), and the operations required (arithmetical operations vs. semantic judgments).”
Quote in the paperSubstantial claim - Interpretationcitation
Such performance gains are likely the result of task-specific strategies being applied, rather than any general improvement in a process.
“Such performance gains are also likely to be the result of task-specific strategies being applied, rather than any general improvement in a process [21].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] M Melby-Lervåg, 2013, Is working memory training effective? A meta-analytic review, Developmental Psychology source
Not checked in the free run.
- Interpretationreasoning
The two n-back tasks share many features that make them structurally similar: they involve comparing a given item with one presented n positions earlier, requiring retrieval and substitution of information retained for the previous position.
“These two tasks share many features that led us to consider them as structurally similar: they are n-back tasks that involve comparing a given item with one presented n positions earlier, meaning that the information retained for the previous position has to be retrieved and then substituted.”
Quote in the paperSubstantial claim - Premisecitation
Laine et al. [40] showed nearest transfer between very similar tasks when trained and transfer n-back tasks varied only on content (letters and colors instead of numbers).
“Laine et al. [40] showed nearest transfer between very similar tasks, when they varied their trained and transfer n-back tasks only on content (letters and colors instead of numbers).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] M Laine, 2018, The early effects of external and internal strategies on working memory updating training, Scientific reports source
Not checked in the free run.
- Interpretationown data
Transfer to another, structurally similar updating task tapping the same process as the trained one may sometimes prove unsuccessful.
“Our findings thus indicate that transfer to another, structurally similar updating task tapping the same process as the trained one [48] may sometimes prove unsuccessful.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] O Wilhelm, 2013, What is working memory capacity, and how can we measure it?, Frontiers in Psychology source
Not checked in the free run.
- Interpretationown data
Our results using two updating paradigms are compatible with reports that performance improvements on one WM measure do not lead to gains on another type of WM task.
“Our results using two updating paradigms are therefore compatible with reports that performance improvements on one WM measure do not lead to gains on another type of WM task (e.g., [9, 11, 17]).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [9] SC Li, 2008, Working memory plasticity in old age: practice gain, transfer, and maintenance, Psychology and Aging source
Not checked in the free run.
- cites [11] L Lilienthal, 2013, Dual <italic>n</italic>-back training increases the capacity of the focus of attention, Psychonomic Bulletin & Review source
Not checked in the free run.
- cites [17] 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.
- Interpretationown data
It is only in some circumstances that nearest transfer effects would emerge in tasks tapping the same process and suitable for being solved using the same specific strategy as the one used in the trained task.
“Thus, it is only in some circumstances that nearest transfer effects would emerge in tasks tapping the same process, and suitable for being solved using the same specific strategy as the one used in the trained task.”
Quote in the paperSubstantial claim - Interpretationown data
These specific gains are compatible with the notion that a specific strategy or set of strategies had been acquired during the training.
“These specific gains are compatible with the notion that a specific strategy or set of strategies had been acquired during the training.”
Quote in the paperNot a substantial claim - Interpretationown data
Our research shows that the overlap between tasks is not enough.
“our research shows that the overlap between tasks is not enough.”
Quote in the paperSubstantial claim - Interpretationcitation
A strategy used for one trained paradigm might not be effective for another involving different processes.
“A strategy used for one trained paradigm might not be effective for another involving different processes.”
Quote in the paperSubstantial claim - Interpretationown data
Particular differences between tasks may affect the degree of transfer achieved.
“Particular differences between tasks may affect the degree of transfer achieved.”
Quote in the paperSubstantial claim - Interpretationown data
Judging from our present findings, massed vis-à-vis spaced practice distributions do not produce entirely consistent effects on transfer performance.
“Judging from our present findings, massed vis-à-vis spaced practice distributions do not produce entirely consistent effects on transfer performance.”
Quote in the paperSubstantial claim - Interpretationreasoning
The categorical n-back task may include a processing component related to prospective memory.
“This may imply that the latter task included a processing component related to prospective memory.”
Quote in the paperNot a substantial claim - Premisecitation
De Simoni and von Bastian [38] found that even when participants reported using a similar strategy for both a trained and a transfer task, performance gains were only seen for the paradigm used in training, not for another paradigm.
“De Simoni and von Bastian [38] recently found that, even when participants reported using a similar strategy (e.g., rehearsal) for both a trained (e.g., memory updating) and a transfer (e.g., associative binding) task, performance gains were only seen for the paradigm used in the training, not for another paradigm.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] C De Simoni, 2018, Working memory updating and binding training: Bayesian evidence supporting the absence of transfer, Journal of Experimental Psychology General source
Not checked in the free run.
- May combine two claims. 53
- Classified as probably not a substantial claim. 36
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataThe WMU training produced gains in only some of the WMU tasks structurally similar to those used in the training, not in those lacking the same structure, or in WM or fluid intelligence tasks.
“The results showed that the WMU training produced gains in only some of the WMU tasks structurally similar to those used in the training, not in those lacking the same structure, or in WM or fluid intelligence tasks.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe interaction between session and practice distribution and the main effect of practice distribution did not reach significance for the letter n-back task (p > .356).
“The interaction between session and practice distribution and the main effect of practice distribution did not reach significance (p > .356)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the Bejeweled game, the effect of session was not significant (p = .087), but the linear trend was significant (F(1, 62) = 5.71, p = .020, η2p = .08), explaining 69.91% of the variance.
“In the Bejeweled game, the effect of session was not significant (p = .087), but the linear trend was, F(1, 62) = 5.71, p = .020, ŋ2p = .08, and explained 69.91% of the variance.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe sample included 193 psychology and social work undergraduates (Mage = 21.36, SD = 3.49; 40 males, 153 females).
“Participants were recruited from the University of Jaén, southern Spain and included 193 psychology and social work undergraduates (Mage = 21.36, SD = 3.49; 40 males, 153 females).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe practice distribution effect was significant in the comparison between the arithmetical and the n-back training groups on the numerical n-back task, massed practice being associated with larger gains (Mdiff = 0.68) than spaced practice (Mdiff = 0.48).
“The practice distribution effect was significant in the comparison between the arithmetical and the n-back training groups, massed practice being associated with larger gains (Mdiff = 0.68) than spaced practice (Mdiff = 0.48).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither the interaction nor the practice distribution effect reached significance for the categorical n-back task.
“Neither the interaction nor the practice distribution effect reached significance”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe cubic component for session in the letter n-back task was significant (F(1, 61) = 7.51, p = .008, η2p = .11), accounting for 0.60% of the variance.
“The trend analysis revealed that the linear component, F(1, 61) = 140.98, p < .001, ŋ2p = .70, the quadratic component, F(1, 61) = 22.04, p < .001, ŋ2p = .27, and the cubic component, F(1, 61) = 7.51, p = .008, ŋ2p = .11, were all significant, accounting for 92.97%, 6.30% and 0.60% of the variance, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither the interaction between session and practice distribution nor the main effect of practice distribution reached significance for the number size updating task (p > .199).
“Neither the interaction between session and practice distribution nor the main effect of practice distribution reached significance (p > .199)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the arithmetical updating task, the arithmetical training group showed larger performance gains (Mdiff = 13.59) than the n-back training group (Mdiff = 1.50) or the active control group (Mdiff = -1.29).
“For the arithmetical updating task, the arithmetical training group showed larger performance gains (Mdiff = 13.59) than the n-back training group (Mdiff = 1.50) or the active control group (Mdiff = -1.29).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNeither the practice distribution effect nor the interaction were significant for the categorical updating task.
“Neither the practice distribution effect nor the interaction were significant”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither the main effect of practice distribution nor the interaction between session and practice distribution were significant for the Dodge the Meteor game (p > .112).
“Neither the main effect of practice distribution nor the interaction between session and practice distribution were significant (p > .112)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the numerical n-back task, performance gains were significantly greater for the n-back training group (Mdiff = 0.92) than for the arithmetical training group (Mdiff = 0.24) or the active control group (Mdiff = 0.14), with no differences in performance gains between the two latter groups.
“In the numerical n-back task, performance gains were significantly greater for the n-back training group (Mdiff = 0.92) than for the arithmetical training group (Mdiff = 0.24) or the active control group (Mdiff = 0.14), with no differences in performance gains between the two latter groups.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe main effect of practice distribution was significant for the Bejeweled game (F(1, 62) = 5.26, p = .025, η2p = .08), with performance after spaced practice higher than after massed practice (Mdiff = 0.314).
“The main effect of practice distribution was also significant, F(1, 62) = 5.26, p = .025, ŋ2p = .08, since performance after spaced practice was higher than after massed practice (Mdiff = 0.314).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe interaction between session and practice distribution and the main effect of practice distribution were not significant for the numerical n-back task (p > .428).
“The interaction between session and practice distribution and the main effect of practice distribution were not significant (p > .428)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNo other effects of practice distribution nor the interaction were significant for the numerical n-back task.
“No other effects of practice distribution nor the interaction were significant”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe cubic component for session in the number size updating task was significant (F(1, 62) = 7.82, p = .007, η2p = .11), explaining 2.29% of the variance.
“The quadratic component, F(1, 62) = 31.03, p < .001, ŋ2p = .33, and the cubic component, F(1, 62) = 7.82, p = .007, ŋ2p = .11, were significant as well, explaining 12.42% and 2.29% of the variance, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither the main effect of practice distribution nor the interaction were significant for the arithmetical updating task.
“Neither the main effect of practice distribution nor the interaction were significant”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataNo differences emerged between the groups (p = .159) or practice distributions (p = .471) in expectations concerning improvement at the start of training.
“No differences emerged between the various groups (p = .159), and practice distributions (p = .471) at the start of the training.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither the practice distribution effect nor the interaction proved significant for the operation span task.
“Neither the practice distribution effect nor the interaction proved significant”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe n-back training group showed gains only in the trained numerical n-back task, not in the similar categorical n-back task.
“As for the n-back training group, gains were only evident in the trained numerical n-back task, not in the similar categorical n-back task.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThere were no statistically significant differences between the groups in overall self-perceived improvement (p = .138), but the practice distribution effect neared significance (F(1, 185) = 3.49, p = .063, η2p = .02).
“there were no statistically significant differences between the groups (p = .138), but the practice distribution effect neared significance, F(1, 185) = 3.49, p = .063, ŋ2p = .02.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNeither the practice distribution effect nor any interaction between practice distribution and group were significant on any task (p > .166).
“Neither the practice distribution effect nor any interaction between practice distribution and group were significant on any task (p > .166).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe practice distribution effect and the interaction also lacked significance for the Cattell test.
“The practice distribution effect and the interaction also lacked significance”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOverall self-perceived improvement tended to be somewhat higher for the massed practice (M = 7.12) than for the spaced practice (M = 6.70).
“overall self-perceived improvement tended to be somewhat higher for the massed practice (M = 7.12) than for the spaced practice (M = 6.70).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe arithmetical updating group showed a large effect for the same trained task, and an effect higher than 0.75 for the categorical updating task.
“the arithmetical updating group showed a large effect for the same trained task, and an effect higher than 0.75 for the categorical updating task.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor massed practice, the effect of session was significant (F(2, 188) = 3.17, p = .044, η2p = .03), due to greater motivation from the middle of training to the end (Mdiff = 0.32, p = .028).
“For massed practice, the effect of session was significant, F(2, 188) = 3.17, p = .044, ŋ2p = .03, due to a greater motivation from the middle of training to the end (Mdiff = 0.32, p = .028).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe arithmetical training group improved not only in the same trained task, but also in the structurally similar categorical updating task.
“The arithmetical training group improved not only in the same trained task, but also in the structurally similar categorical updating task.”
- Also stated in: § Transfer effects · plain
“To summarize, the present study found specific training gains, while there was nearest transfer only to a structurally similar WMU task involving one updating paradigm (arithmetical updating), not the other (n-back).”
Quote in the paperSubstantial claim- Also stated in: § Transfer effects · plain
May combine two claims.
Findingown dataDifferences in levels of motivation had no impact on performance: the massed practice group did not outperform the spaced practice group.
“That said, it is worth mentioning that differences in levels of motivation had no impact on performance: the massed practice group did not outperform the spaced practice group.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe advantage for the spaced groups during the training only applied to two tasks, and there was no effect on transfer task performance.
“The advantage for the spaced groups during the training only applied to two tasks, however, and there was no effect on transfer task performance.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationJaeggi et al. found that n-back training produced far transfer effects on fluid intelligence measures but no near transfer to measures of WM capacity.
“In support of this idea, Jaeggi et al. [32] found that n-back training produced far transfer effects on fluid intelligence measures, which share a good deal of variance with WMU, but no near transfer to measures of WM capacity, which share little variance with WMU”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] SM Jaeggi, 2010, The relationship between <italic>n</italic>-back performance and matrix reasoning—implications for training and transfer, Intelligence source
Not checked in the free run.
May combine two claims.
PremisecitationWMU predicts fluid intelligence and is related to academic achievement.
“Its role in predicting fluid intelligence [1–3], and its relationship to academic achievement [4–6] have prompted numerous studies on the extent to which WMU training effects may generalize to other tasks dissimilar to those used in the training.”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [1] C Belacchi, 2010, The role of working memory and updating in Coloured Raven Matrices performance in typically developing children, European Journal of Cognitive Psychology source
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- cites [2] T Chen, 2007, The roles of working memory updating and processing speed in mediating age-related differences in fluid intelligence, Aging, Neuropsychology, and Cognition source
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- cites [3] NP Friedman, 2006, Not all executive functions are related to intelligence, Psychological Science source
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- cites [4] B Carretti, 2005, Updating in working memory: A comparison of good and poor comprehenders, Journal of Experimental Child Psychology source
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- cites [5] P Palladino, 2001, Working memory and updating processes in reading comprehension, Memory & Cognition source
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- cites [6] S Pelegrina, 2015, Magnitude representation and working memory updating in children with arithmetic and reading comprehension disabilities, Journal of Learning Disabilities source
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Classified as probably not a substantial claim.
PremisecitationThe effectiveness of n-back training in eliciting transfer to other different tasks remains unclear.
“The effectiveness of training based on the n-back task in eliciting transfer to other different tasks thus remains unclear.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [20] MR Dougherty, 2016, Reevaluating the effectiveness of <italic>n</italic>-back training on transfer through the Bayesian lens: Support for the null, Psychonomic Bulletin & Review source
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- cites [21] M Melby-Lervåg, 2013, Is working memory training effective? A meta-analytic review, Developmental Psychology source
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- cites [22] M Melby-Lervåg, 2016, Working memory training does not improve performance on measures of intelligence or other measures of “far transfer” evidence from a meta-analytic review, Perspectives on Psychological Science source
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- cites [23] DJ Simons, 2016, Do “brain-training” programs work?, Psychological Science in the Public Interest source
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- cites [24] A Soveri, 2017, Working memory training revisited: A multi-level meta-analysis of <italic>n</italic>-back training studies, Psychonomic Bulletin & Review
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThere is substantial evidence that spaced practice is superior to massed practice, and that performance benefits more after a longer rather than a shorter lag.
“Generally speaking, there is substantial evidence of spaced practice being superior to massed practice, and of performance benefiting more after a longer rather than a shorter lag ([46], for review).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] NJ Cepeda, 2009, Optimizing distributed practice: Theoretical analysis and practical implications, ExperimentalPsychology
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationAlloway et al. found that a group trained four times a week for 8 weeks (massed distribution) outperformed a group trained once a week for 8 weeks (spaced distribution), but this may have been due to the different amount of practice involved.
“A different pattern emerged in a study by Alloway et al.[43], in which a group trained four times a week for 8 weeks (massed distribution) outperformed another group trained with the same WM tasks only once a week for 8 weeks (spaced distribution), but this may have been due to the different amount of practice involved (one group attended 28 sessions, the other only 8).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] TP Alloway, 2013, Computerized working memory training: Can it lead to gains in cognitive skills in students?, Computers in Human Behavior source
Not checked in the free run.
May combine two claims.
PremisecitationLinares et al. trained participants on numerical WMU tasks and found nearest transfer to other WMU tasks structurally similar to those used in the training, but no far transfer to fluid intelligence or near transfer to complex WM tasks, nor nearest transfer to other WMU tasks dissimilar to those used in the training.
“Linares et al. [29] trained participants on numerical WMU tasks, and found nearest transfer to other WMU tasks structurally similar to those used in the training. The authors saw no far transfer to fluid intelligence or near transfer to complex WM tasks, however, nor even any nearest transfer to other WMU tasks dissimilar to those used in the training.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] R Linares, 2017, Training working memory updating in young adults, Psychological Research
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May combine two claims.
PremisecitationLaine et al. only found transfer to structurally similar untrained tasks, not to structurally different tasks.
“For example, Laine et al. [40] only found transfer to structurally similar untrained tasks (to which the same strategy could be applied), not to structurally different tasks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] M Laine, 2018, The early effects of external and internal strategies on working memory updating training, Scientific reports source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationUsing the running memory paradigm as a training task, studies found no near transfer to WM span tasks, nor far transfer to selective attention, perceptual speed, fluid intelligence, verbal fluency, or other episodic memory measures.
“They found no near transfer to WM span tasks [27], however, nor any far transfer to selective attention [26], perceptual speed, fluid intelligence, verbal fluency, or other episodic memory measures [27].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [26] E Dahlin, 2008, Transfer of learning after updating training mediated by the striatum, Science source
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- cites [27] E Dahlin, 2008, Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance, Psychology and Aging source
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Classified as probably not a substantial claim.
PremisecitationPenner et al. found that a group trained twice weekly (spaced distribution) performed better in different cognitive domains than a group trained four times a week (massed distribution) using the BrainStim program over 16 sessions.
“In the study by Penner et al. [44], two groups were trained using the BrainStim program, which included some WMU measures, over the course of 16 sessions. Performance in different cognitive domains was better in the training group that trained twice weekly (spaced distribution) than the performance shown by a group trained four times a week (massed distribution).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] IK Penner, 2012, Computerised working memory training in healthy adults: A comparison of two different training schedules, Neuropsychological Rehabilitation source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome authors have attributed near transfer to the acquisition of a strategy.
“In fact, some authors have attributed near transfer to the acquisition of a strategy ([9, 29, 38]; see [21, 39] for a review)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [9] SC Li, 2008, Working memory plasticity in old age: practice gain, transfer, and maintenance, Psychology and Aging source
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- cites [29] R Linares, 2017, Training working memory updating in young adults, Psychological Research
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- cites [38] C De Simoni, 2018, Working memory updating and binding training: Bayesian evidence supporting the absence of transfer, Journal of Experimental Psychology General source
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May combine two claims.
PremisecitationUsing the running memory paradigm as a training task, studies demonstrated nearest transfer effects on other WMU tasks such as the n-back task, and far transfer to episodic memory tasks.
“using the running memory paradigm as a training task, different authors demonstrated nearest transfer effects on other WMU tasks, such as the n-back task [25–28], and far transfer to episodic memory tasks [27].”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [25] L Bäckman, 2011, Effects of working-memory training on striatal dopamine release, Science source
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- cites [26] E Dahlin, 2008, Transfer of learning after updating training mediated by the striatum, Science source
Not checked in the free run.
- cites [27] E Dahlin, 2008, Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance, Psychology and Aging source
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- cites [28] L Xiu, 2016, Working memory training improves emotion regulation ability: Evidence from HRV, Physiology & Behavior source
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Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationParticipants were allocated to one of six study groups using a stratified random sampling method that took into account their pretest score in the Cattell test and their university degree course.
“They were allocated to a given group using a stratified random sampling method that took into account their pretest score in the Cattell test [65], and their university degree course (psychology or social work).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] RB Cattell, 1963, Measuring intelligence with the Culture Fair Tests
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May combine two claims.
Study design and conductreasoningThe arithmetical updating and categorical updating tasks were structurally dissimilar to the n-back training paradigm, and the numerical n-back and categorical n-back tasks were structurally dissimilar to the arithmetical training paradigm.
“The other two WMU tasks (numerical n-back and categorical n-back) served to assess nearest transfer to tasks associated with the other updating training paradigm, and were therefore structurally dissimilar.”
- Also stated in: § The present study · plain
“The arithmetical updating task and categorical updating task were used to shed light on nearest transfer effects to the structurally dissimilar WMU tasks associated with the other updating training paradigm.”
Quote in the paperSubstantial claim- Also stated in: § The present study · plain
May combine two claims.
PremisecitationThe active control group played two casual video games used in previous training studies, which do not specifically tap WM processes.
“This active control group played two casual video games used in previous training studies [15, 54–57], which do not specifically tap WM processes.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [15] O Waris, 2015, Transfer after working memory updating training, PLoS ONE source
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- cites [54] AC Oei, 2013, Enhancing cognition with video games: a multiple game training study, PLoS ONE source
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- cites [55] CV Russoniello, 2009, The effectiveness of casual video games in improving mood and decreasing stress, Journal of Cyber Therapy and Rehabilitation
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- cites [56] MJ Stroud, 2015, Casual video games as training tools for attentional processes in everyday life, Cyberpsychology, Behavior, and Social Networking source
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- cites [57] SK Whitbourne, 2013, Reasons for playing casual video games and perceived benefits among adults 18 to 80 years old, Cyberpsychology, Behavior, and Social Networking source
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Classified as probably not a substantial claim.
Study design and conductreasoningThe arithmetical updating task was the same as a trained one for the arithmetical training program.
“In the arithmetical training program, one transfer task was the same as a trained one (the criterion task: arithmetical updating), enabling us to measure specific effects in the group attending this training.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenThe arithmetical and categorical WMU tasks shared updating subprocesses that needed to be applied in the same order, including focus switching and cued item information retrieval, item comparison, judgment about updating, and substitution of information.
“These arithmetical and categorical WMU tasks shared some updating subprocesses that needed to be applied in the same order, including: focus switching and cued item information retrieval, item comparison, judgment about updating, and substitution of information.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe numerical and categorical n-back tasks required a similar set of cognitive processes combined in a similar sequence: maintaining an active subset of n items in memory, making a recognition judgment, selecting a yes/no response, removing the first item in the subset, and adding the one presented more recently.
“The numerical and categorical n-back tasks required a similar set of cognitive processes that had to be combined in a similar sequence: maintaining an active subset of n items in memory, making a recognition judgment to decide if the new item matched the first one in the subset, selecting a yes/no response, removing the first item in the subset, and adding the one presented more recently.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe arithmetical updating task has been used in a previous training study and shown to produce specific training gains.
“The n-back task is probably the most widely used in WMU training programs (e.g., [9–11]), and the arithmetical updating task has already been used in a previous training study and shown to produce specific training gains, at least [29].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] R Linares, 2017, Training working memory updating in young adults, Psychological Research
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe same results are obtained using z-scores.
“The same results are obtained using z-scores.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe n-back task is probably the most widely used in WMU training programs.
“The n-back task is probably the most widely used in WMU training programs (e.g., [9–11]), and the arithmetical updating task has already been used in a previous training study and shown to produce specific training gains, at least [29].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [9] SC Li, 2008, Working memory plasticity in old age: practice gain, transfer, and maintenance, Psychology and Aging source
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- cites [10] M Minear, 2016, A simultaneous examination of two forms of working memory training: Evidence for near transfer only, Memory & Cognition source
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- cites [11] L Lilienthal, 2013, Dual <italic>n</italic>-back training increases the capacity of the focus of attention, Psychonomic Bulletin & Review source
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Classified as probably not a substantial claim.
Study design and conductnone givenA classical WM task measuring the same narrow ability as the one trained and a fluid intelligence test were administered to assess near and far transfer effects.
“A classical WM task that measures the same narrow ability as the one trained, and a fluid intelligence test were also administered to assess near and far transfer effects, respectively.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe numerical n-back task mirrored the task practiced during n-back training.
“In the case of the n-back training program, one task (the criterion task: numerical n-back) mirrored the task practiced during the training, and elucidated specific effects in this training group.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationWilhelm et al. reported a very high correlation (r = .92) between a latent factor consisting of n-back tasks and another factor comprising tasks similar to the arithmetical updating task, and argued that both types of task measure the same updating construct.
“Wilhelm et al. [48] reported a very high correlation (r = .92) between a latent factor consisting of n-back tasks and another factor comprising tasks similar to the arithmetical updating task, and they argued that both types of task measure the same updating construct.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] O Wilhelm, 2013, What is working memory capacity, and how can we measure it?, Frontiers in Psychology source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenThe categorical updating task was structurally similar to the tasks used to train the arithmetical WMU group.
“This task was structurally similar to those used to train the arithmetical WMU group.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe categorical n-back task was structurally similar to the tasks used to train the n-back WMU group.
“This task was structurally similar to those used to train the n-back WMU group.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductown dataSome participants were excluded from the analyses on transfer effects for various reasons, including non-completion, task misunderstanding, and data loss.
“Some participants were excluded from the analyses on transfer effects for the following reasons:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationown dataAll study participants took an active interest, as indicated by performance improvements in the active control group.
“Performance improved with training for all WMU training groups, and also for the active control group, indicating that the training was effective, and that all study participants took an active interest.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationSome explanations for specific transfer effects, such as those observed in this study, are that they are due to knowledge gained from the training and to familiarity with the task and computer-based assessment methods.
“Some explanations have been suggested for specific transfer effects (such as those observed in this study), which would be due to knowledge gained from the training (e.g., [72]) and to familiarity with the task and computer-based assessment methods.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] M Lövdén, 2010, A theoretical framework for the study of adult cognitive plasticity, Psychological Bulletin source
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Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAfter the training, 93.78% of participants completed a final online questionnaire about their self-perceived improvement in each assessment task.
“After the training, 93.78% of participants completed a final online questionnaire about their self-perceived improvement in each assessment task.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Interpretationnone givenIn the present study, similar tasks shared the same presentation and could be solved following similar procedural steps, whereas they differed in superficial features such as operations and material.
“In the present study, similar tasks shared the same presentation and could be solved following similar procedural steps, whereas they differed in superficial features, such as the operations to perform (semantic vs. arithmetical), or the material to be remembered (words vs. numbers).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationA lack of transfer effects from WMU training to fluid intelligence has been reported in a number of studies, and some meta-analyses have addressed this issue.
“A lack of transfer effects from WMU training to fluid intelligence has been reported in a number of studies too (e.g., [14–17, 27]), and some meta-analyses have addressed this issue.”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [14] T Salminen, 2012, On the impacts of working memory training on executive functioning, Frontiers in Human Neuroscience source
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- cites [15] O Waris, 2015, Transfer after working memory updating training, PLoS ONE source
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- cites [16] K Küper, 2016, Increased training complexity reduces the effectiveness of brief working memory training: evidence from short-term single and dual <italic>n</italic>-back training interventions, Journal of Cognitive Psychology source
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- cites [17] TS Redick, 2013, No evidence of intelligence improvement after working memory training: a randomized, placebo-controlled study, Journal of Experimental Psychology: General source
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- cites [27] E Dahlin, 2008, Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance, Psychology and Aging source
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May combine two claims.
Interpretationown dataA greater motivation coincided with the massed practice, while motivation decreased when spaced practice was used.
“In short, a greater motivation coincided with the massed practice, while motivation decreased when spaced practice was used.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe training was effective, as indicated by performance improvements in all WMU training groups and the active control group.
“Performance improved with training for all WMU training groups, and also for the active control group, indicating that the training was effective, and that all study participants took an active interest.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSince the Cattell is a timed task, any general improvements in this measure may be due to participants becoming faster.
“Since the Cattell is a timed task, any general improvements in this measure may be due to participants becoming faster.”
Quote in the paperNot a substantial claim- Rests on an assumption: The Cattell test is a timed task.
May combine two claims.
InterpretationreasoningThe lack of nearest transfer between the two updating paradigms may be because, although the two types of paradigm share an updating requirement, they vary in other processes such as retrieval operations (recognition vs. recall) and how the item to be updated is selected (external or internal cues), and thus on the general strategy or approach used by the participant.
“These results may come down to the fact that, although the two types of paradigm share an updating requirement, they vary in other processes. For example, they may differ in terms of the retrieval operations (recognition vs. recall), and in how the item to be updated is selected (external or internal cues), and thus on the general strategy or approach used by the participant.”
Quote in the paperSubstantial claim- Rests on an assumption: The two updating paradigms (arithmetical updating and n-back) share an updating requirement.
May combine two claims.
Interpretationown dataThe pattern of transfer to structurally similar tasks in Laine et al. [40] is comparable with the one seen here for arithmetical updating training, but not with our n-back training findings, since there was no evidence of transfer to the structurally similar task in the latter case.
“The pattern of transfer to structurally similar tasks in the Laine et al. study [40] is comparable with the one seen here for arithmetical updating training, but not with our findings with the n-back training, since there was no evidence of transfer to the structurally similar task in the latter case.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] M Laine, 2018, The early effects of external and internal strategies on working memory updating training, Scientific reports source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHarrison et al. [71] used structurally similar training and transfer WM tasks that differed in both material and distractors.
“Harrison et al. [71] used structurally similar training and transfer WM tasks that differed in both material and distractors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] TL Harrison, 2013, Working memory training may increase working memory capacity but not fluid intelligence, Working memory training may increase working memory capacity but not fluid intelligence
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May combine two claims.
PremisecitationLaine et al. [40] demonstrated that teaching participants a strategy improved performance in trained n-back with digits and in structurally similar untrained n-back with letters and colors, but not in structurally dissimilar tasks such as running memory span.
“Laine et al. [40] demonstrated that teaching participants a strategy improved their performance in trained tasks (n-back with digits), and in other structurally similar untrained tasks (n-back with letters and colors), but not in other, structurally dissimilar tasks (e.g., running memory span).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] M Laine, 2018, The early effects of external and internal strategies on working memory updating training, Scientific reports source
Not checked in the free run.
May combine two claims.
Interpretationown dataDifferences in participants' engagement and self-perceived improvement did not relate to their performance in the present study: the massed practice groups were reportedly more motivated, but they did not outperform the spaced practice group.
“Taken together, differences in participants’ engagement and self-perceived improvement did not relate to their performance in the present study: the massed practice groups were reportedly more motivated, but they did not outperform the spaced practice group.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMelby-Lervag et al. [22] claimed that there is no evidence to support the notion that WM training improves performance in far-related abilities.
“Melby-Lervag et al. [22] claimed that there is no evidence to support the notion that WM training improves performance in far-related abilities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] M Melby-Lervåg, 2016, Working memory training does not improve performance on measures of intelligence or other measures of “far transfer” evidence from a meta-analytic review, Perspectives on Psychological Science source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA recent review on cognitive training [23] emphasized that the strongest evidence for post-training gains tends to be in favor of nearest transfer, while broader transfer is considerably less frequent.
“A recent review on cognitive training [23] also emphasized that the strongest evidence for post-training gains tends to be in favor of nearest transfer, while broader transfer is considerably less frequent.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] DJ Simons, 2016, Do “brain-training” programs work?, Psychological Science in the Public Interest source
Not checked in the free run.
May combine two claims.
Interpretationown dataCompared to the active control group, both training groups perceived that they had improved in the majority of tasks, and especially in the trained tasks.
“In short, compared to the active control group, both training groups perceived that they had improved in the majority of tasks, and especially in the trained tasks.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningParticipants who showed no improvement in some tasks, such as the categorical n-back, may not have realized that the previously practiced strategy was applicable to the new task too.
“For example, participants who showed no improvement in some tasks, such as the categorical n-back, may not have realized that the previously practiced strategy was applicable to the new task too.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataOur participants developed a specific strategy or set of strategies for updating information, but specific for the trained n-back task.
“Looking at the results it seemed that, our participants have developed a specific strategy (or a set of strategies) for updating information (as demonstrated from the increase during the training), but specific for the trained n-back task (as suggested from the lack of transfer).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe learnt strategy was not adapted to the new task, although it made similar requests with apparently slight variations.
“In other words, the learnt strategy was not adapted to the new task, although it made similar requests with apparently slight variations.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningTransfer effects may depend on the decision to use a strategy and on how successfully a learned strategy is applied.
“Transfer effects may depend on the decision to use a strategy and on how successfully a learned strategy is applied.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe involvement of metacognitive knowledge may have had a part to play in strategy use too.
“The involvement of metacognitive knowledge may have had a part to play in strategy use too.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSuch additional processes may have hampered participants' successful use of their previously-learned strategy.
“Such additional processes may have hampered participants’ successful use of their previously-learned strategy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe categorical n-back task may require an additional inhibitory process as participants may have needed to refrain from responding to some items.
“It may also require an additional inhibitory process as participants may have needed to refrain from responding to some items.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningTransfer may be undermined when a new task involves an additional processing step, or requires a different type of response.
“Transfer may be undermined when a new task involves an additional processing step, or requires a different type of response.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The active control activities (Bejeweled and Dodge the Meteor) do not train working memory updating.
“Active control (massed and spaced groups)”
The paper relies on this without support.
The two updating paradigms (arithmetical updating and n-back) share an updating requirement.
“although the two types of paradigm share an updating requirement, they vary in other processes.”
The paper relies on this without support.
The parallel versions (A and B) of each task are equivalent.
“Two parallel versions (A and B) were constructed for each task, and counterbalanced across all assessment sessions.”
The paper relies on this without support.
The Cattell test is a timed task.
“Since the Cattell is a timed task”
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?
Transfer to sequencing and/or complex WM tasks has been reported by some N-back training studies but not others.
“Transfer to sequencing and/or complex WM tasks has been reported by some57–63, but not other N-back training studies58,64–70.”
From Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning (2022) · cites this paper as [64]
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(5, 310) = 72.64reported p < .001 · recomputed p < .001
“F(5, 310) = 72.64, p < .001”
- ConsistentF(5, 310) = 3.66reported p = .003 · recomputed p = .003
“F(5, 310) = 3.66, p = .003”
- ConsistentF(1, 62) = 8.96reported p = .004 · recomputed p = .004
“F(1, 62) = 8.96, p = .004”
- ConsistentF(5, 310) = 57.87reported p < .001 · recomputed p < .001
“F(5, 310) = 57.87, p < .001”
- ConsistentF(1, 62) = 144.17reported p < .001 · recomputed p < .001
“F(1, 62) = 144.17, p < .001”
- ConsistentF(1, 62) = 31.03reported p < .001 · recomputed p < .001
“F(1, 62) = 31.03, p < .001”
- ConsistentF(1, 62) = 7.82reported p = .007 · recomputed p = .007
“F(1, 62) = 7.82, p = .007”
- ConsistentF(5, 305) = 83.89reported p < .001 · recomputed p < .001
“F(5, 305) = 83.89, p < .001”
- ConsistentF(1, 61) = 145.73reported p < .001 · recomputed p < .001
“F(1, 61) = 145.73, p < .001”
- ConsistentF(1, 61) = 16.44reported p < .001 · recomputed p < .001
“F(1, 61) = 16.44, p < .001”
- ConsistentF(5, 305) = 86.26reported p < .001 · recomputed p < .001
“F(5, 305) = 86.26, p < .001”
- ConsistentF(1, 61) = 140.98reported p < .001 · recomputed p < .001
“F(1, 61) = 140.98, p < .001”
- ConsistentF(1, 61) = 22.04reported p < .001 · recomputed p < .001
“F(1, 61) = 22.04, p < .001”
- ConsistentF(1, 61) = 7.51reported p = .008 · recomputed p = .008
“F(1, 61) = 7.51, p = .008”
- ConsistentF(1, 62) = 5.71reported p = .02 · recomputed p = .020
“F(1, 62) = 5.71, p = .020”
- ConsistentF(1, 62) = 5.26reported p = .025 · recomputed p = .025
“F(1, 62) = 5.26, p = .025”
- ConsistentF(5, 310) = 13.26reported p < .001 · recomputed p < .001
“F(5, 310) = 13.26, p < .001”
- ConsistentF(1, 62) = 41.1reported p < .001 · recomputed p < .001
“F(1, 62) = 41.10, p < .001”
- ConsistentF(1, 185) = 3.49reported p = .063 · recomputed p = .063
“F(1, 185) = 3.49, p = .063”
- ConsistentF(2, 114) = 16.55reported p < .001 · recomputed p < .001
“F(2, 114) = 16.55, p < .001”
- ConsistentF(2, 114) = 20.46reported p < .001 · recomputed p < .001
“F(2, 114) = 20.46, p < .001”
- ConsistentF(2, 114) = 17.44reported p < .001 · recomputed p < .001
“F(2, 114) = 17.44, p < .001”
- ConsistentF(2, 114) = 7.56reported p = .001 · recomputed p < .001
“F(2, 114) = 7.56, p = .001”
- ConsistentF(2, 114) = 8.26reported p < .001 · recomputed p < .001
“F(2, 114) = 8.26, p < .001”
- ConsistentF(2, 114) = 6.51reported p = .002 · recomputed p = .002
“F(2, 114) = 6.51, p = .002”
- ConsistentF(2, 370) = 4.35reported p = .014 · recomputed p = .014
“F(2, 370) = 4.35, p = .014”
- ConsistentF(2, 188) = 3.17reported p = .044 · recomputed p = .044
“F(2, 188) = 3.17, p = .044”
- ConsistentF(2, 190) = 4.07reported p = .019 · recomputed p = .019
“F(2, 190) = 4.07, p = .019”
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.
Subgroup age variability exceeds what the full-sample SD permits
MinorThe arithmetical spaced group has 32 participants and a reported age SD of 21.19, whereas the full sample of 193 has an age SD of 3.49. The subgroup alone would force the full-sample SD to be at least about 8.5, even before accounting for anyone else.
“| Arithmetical | Spaced | 21 (21.19) | 7 | 25 | 23 | 9 | 23.38 (3.77) |”
“included 193 psychology and social work undergraduates (Mage = 21.36, SD = 3.49; 40 males, 153 females)”
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Self-citationKüper, K., & Karbach, J. (2016) · Journal of Cognitive Psychology · doi:10.1080/20445911.2015.1118106 · Cited by 33 · see citing works
Cundall, A., & Guo, K. (2015) · Psychological Research · doi:10.1007/s00426-015-0726-1 · Cited by 31 · see citing works
Casual video games as training tools for attentional processes in everyday life
Stroud, M. J., & Whitbourne, S. K. (2015) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2015.0316 · Cited by 27 · see citing works
Arthur, W., Day, E. A., Villado, A. J., Boatman, P. R., Kowollik, V., Bennett, W. R., & Bhupatkar, A. (2010) · Human Performance · doi:10.1080/08959285.2010.515277 · Cited by 25 · see citing works
The distance effect in numerical memory-updating tasks
Lendínez, C., Pelegrina, S., & Lechuga, M. T. (2010) · Memory & Cognition · doi:10.3758/s13421-010-0047-y · Cited by 20 · see citing works
Self-citationZhao, X., Xu, Y., Fu, J., & Maes, J. H. R. (2017) · Memory & Cognition · doi:10.3758/s13421-017-0773-5 · Cited by 20 · see citing works
Training working memory updating in young adults
Linares, R., Borella, E., Lechuga, M. T., Carretti, B., & Pelegrina, S. (2017) · Psychological Research · doi:10.1007/s00426-017-0843-0 · Cited by 13 · see citing works
Self-citationTraining of Verbal Working Memory at Sentence Level Fails to Show Transfer
Fellman, D., Soveri, A., Waris, O., & Laine, M. (2017) · Frontiers in Communication · doi:10.3389/fcomm.2017.00014 · Cited by 8 · see citing works
Clouter, A. (2013) · Library and Archives Canada (Government of Canada) · Cited by 7 · see citing works
Flagged first, then by citations
3 of the 83 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
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Cited by
Sorted by citations
Pappa, K., Biswas, V., Flegal, K. E., Evans, J. J., & Baylan, S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.027 · Cited by 43 · see citing works
Pahor, A., Seitz, A. R., & Jaeggi, S. M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01384-w · Cited by 34 · see citing works
Robledo-Castro, C., Castillo, L., & Corchado, J. M. (2022) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-022-07292-5 · Cited by 34 · see citing works
Selectively Enhanced Development of Working Memory in Musically Trained Children and Adolescents
Saarikivi, K. A., Huotilainen, M., Tervaniemi, M., & Putkinen, V. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00062 · Cited by 28 · see citing works
Training-induced improvement in working memory tasks results from switching to efficient strategies
Malinovitch, T., Jakoby, H., & Ahissar, M. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01824-6 · Cited by 29 · see citing works
“We asked – what is it that participants learn which enables their substantial improvement in a challenging updating task designed to require limited-capacity online manipulations? The few recent studies that addressed this question suggest that the use of a task-specific strategy may facilitate training-induced improv…”
BackgroundResultInfluentialCan we enhance working memory? Bias and effectiveness in cognitive training studies
Rodas, J. A., Asimakopoulou, A. A., & Greene, C. M. (2024) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02466-8 · Cited by 27 · see citing works
Capodieci, A., Re, A. M., Fracca, A., Borella, E., & Carretti, B. (2019) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2019.1651827 · Cited by 21 · see citing works
Self-citationNeural correlates of working memory training: An fMRI meta-analysis
Zhang, Y., Fu, J., & Zhao, X. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120885 · Cited by 20 · see citing works
“In WM training studies, the most commonly used WM tasks were the Sternberg task, the Delayed Matching to Sample, and the N-back task (Finc et al., 2020; Iordan et al., 2021; Linares et al., 2019; Ripp et al., 2022; Soveri et al., 2017).”
MethodRedlinger, E., Glas, B., & Rong, Y. (2022) · JMIR Serious Games · doi:10.2196/35295 · Cited by 20 · see citing works
Emch, M., Ripp, I., Wu, Q., Yakushev, I. Y., & Koch, K. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00300 · Cited by 21 · see citing works
Practice schedule and testing per se affect children’s transfer abilities in a grapho-motor task
Ghanamah, R., Eghbaria-Ghanamah, H., Karni, A., & Adi‐Japha, E. (2021) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2021.105323 · Cited by 18 · see citing works
Artuso, C., Carretti, B., & Palladino, P. (2019) · School Psychology International · doi:10.1177/0143034319881671 · Cited by 17 · see citing works
“…however, the training activities trained different aspects of updating process, not only those involved in carrying out Running Memory Task, and, as Linares et al. (2019) demonstrated, it is not always straightforward to find clear transfer effects across different updating tasks (see also…”
BackgroundSelf-citationRole of executive functions in the relations of state‐ and trait‐math anxiety with math performance
Pelegrina, S., Martín‐Puga, M. E., Lechuga, M. T., Justicia‐Galiano, M. J., & Linares, R. (2024) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15140 · Cited by 17 · see citing works
Self-citationPei, G., Yang, R., Shi, Z., Guo, G., Wang, S., Liu, M., Qiu, Y., Wu, J., Go, R., Han, Y., et al. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00263 · Cited by 13 · see citing works
Limits of near transfer: Content- and operation-specific effects of working memory training.
Himi, S. A., Stadler, M. J., von Bastian, C. C., Bühner, M., & Hilbert, S. (2022) · Journal of Experimental Psychology General · doi:10.1037/xge0001328 · Cited by 12 · 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
The effects of working memory training in children revealed by behavioral responses and ERP
Xu, J., Deng, M., Nan, W., & Cai, D. (2021) · Brain and Behavior · doi:10.1002/brb3.2310 · Cited by 8 · see citing works
“On the contrary, other studies all found evidence of no performance improvement on untrainedWM tasks afterWM training (Backman et al., 2017; Linares et al., 2019).”
ResultStuder-Luethi, B., & Meier, B. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00202-3 · Cited by 9 · see citing works
Zuber, P., Geiter, E., de Quervain, D. J. ‐., & Magon, S. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.682474 · Cited by 6 · see citing works
“Additionally, a comparison between n-back and arithmetic updating training and their effects on updating and complex WM task yielded improvements only in outcome tasks that were structurally similar to the trained function (Linares et al., 2019).”
BackgroundBooth, S. J., BROWN, L. J. E., Taylor, J. R., & Pobric, G. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1165275 · Cited by 7 · see citing works
“, strengthening of a process utilized by various tasks) (Linares et al., 2019).”
MethodScholl, F., Enge, S., & Gärtner, M. (2021) · Brain Sciences · doi:10.3390/brainsci11081083 · Cited by 4 · see citing works
“For example, near transfer from a trained WM task to a verbal complex span task [10] to structurally similar WM tasks [12] and to WM updating [13] have been reported.”
BackgroundN-Back training in middle adulthood: evidence for transfer only to structurally similar task
Juras, L., Sedlar, M. K., Vrhovski, G., & Vranić, A. (2024) · Current Psychology · doi:10.1007/s12144-024-05758-3 · Cited by 5 · see citing works
“In structurally similar tasks, task execution, the format of stimuli presentation, and the type of responding are the same (Linares et al., 2019).”
Skolasinska, P., Qin, S., Voss, M. W., Lee, H., & Basak, C. (2024) · Human Brain Mapping · doi:10.1002/hbm.26804 · Cited by 4 · see citing works
“…results in transfer to similar tasks only if they share a similar structure, but not to more dissimilar tasks from the same domain or other cognitive domains altogether (Linares et al., 2019; Soveri et al., 2017), suggesting training of task-specific strategy but not the updating process itself.”
BackgroundWang, W., Yang, J., Yu, Y., Li, H., Yu, Y., Yu, J., Yu, J., Yang, J., Yang, J., Takahashi, S., et al. (2022) · Journal of Neurophysiology · doi:10.1152/jn.00529.2021 · Cited by 3 · see citing works
Outcomes of Varied Activities in Working Memory Training for Children: A Randomized Controlled Trial
Hrysanidis, C., Anderson, P. J., Lau, R. C., Gathercole, S. E., Wiley, J. F., & Spencer‐Smith, M. M. (2026) · Developmental Science · doi:10.1111/desc.70130 · Cited by 2 · see citing works
Lin, Y.-T., & Leber, A. B. (2024) · doi:10.31234/osf.io/shfqc · Cited by 2 · see citing works
Hong, Y., & Zhou, R. (2025) · Biological Psychology · doi:10.1016/j.biopsycho.2025.109140 · Cited by 1 · see citing works
León-Correa, E., Ruhnau, P., Balani, A. B., Qureshi, A., Tse, D., & Makris, S. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-026-01408-2 · Cited by 1 · see citing works
“…condition but not in the retention condition likely reflects the training’s focus on enhancing manipulation skills, which might have facilitated backward reordering but not simple retention of elements (Blacker et al., 2017; Holmes et al., 2019; Linares et al., 2019; Morrison & Chein, 2011).”
Working Memory Training From an Individual Differences Perspective
Borella, E., Carretti, B., Cornoldi, C., & Béni, R. D. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780199974467.003.0002 · Cited by 1 · see citing works
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Working memory: effects of its training based on multimedia routines
Universidad Veracruzana, M., & Gámez, I. E. (2021) · Apertura · doi:10.32870/ap.v13n1.1941 · Cited by 1 · see citing works
Training-induced improvement in working memory tasks results from switching to efficient strategiesPreprint
Malinovitch, T., Jackoby, H., & Ahissar, M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.24.113555 · Cited by 1 · see citing works
Getting at Underlying Mechanisms of Far Transfer - the Mediating Role of Near TransferPreprint
Pahor, A., Seitz, A. R., & Jaeggi, S. M. (2021) · doi:10.31234/osf.io/q5xmp · Cited by 1 · see citing works
The 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
Broad and sustained transfer effects of executive n-back working memory training
Cao, D.-Y., Zhang, T.-N., Zhang, Y., Zhang, E., & Zhang, G.-L. (2026) · Psychonomic Bulletin & Review · doi:10.3758/s13423-025-02773-8
“…between WM and various cognitive and functional abilities, including attention control (Engle, 2018), fluid intelligence (Engel De Abreu, Conway, & Gathercole, 2010), reasoning skills (Au et al., 2015), academic achievement (Peng et al., 2016), and every-day functioning (Borella et al., 2019).”
Redlinger, E., Glas, B., & Rong, Y. (2021) · doi:10.2196/preprints.35295
León-Correa, E., Ruhnau, P., Balani, A. B., Qureshi, A., Tse, D., & Makris, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.19.639019
Zhang, Y., & Qiao, Y. (2025) · Current Psychology · doi:10.1007/s12144-025-07564-x
“…and manipulate existing information in working memory, while dynamically replacing or updating other information therein, thus allowing the modifica - tion of stored information to adapt to new environmental requirements (Cofresí et al., 2021; Linares et al., 2019; Pas-solunghi & Pazzaglia, 2005).”
- Authors
- Linares, R., Borella, E., Lechuga, M. T., Carretti, B., & Pelegrina, S.
- Affiliations
- Universidad de Jaén (ES)
- University of Padua (IT)
- Corresponding author
- Pelegrina, Santiago
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2019-02-13
- Volume
- 14
- Issue
- 2
- Pages
- e0211321
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC6373913
- OpenAlex
- W2912229696
- Semantic Scholar
- 53f034a372839ffc774ef63a87cf2bb443d04c02
- Cited by
- 38
- References
- 83
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 7 · 2023: 2 · 2022: 6 · 2021: 6 · 2020: 5 · 2019: 5
- FWCI
- 6.46
- 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)
- RUJA. Institutional Repository of Scientific Production of the University of Jaén (University of Jaén) (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by)
- Funders
- Spanish Ministry of Economy, Industry and Competitiveness (PSI2016-80416-P)
- 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 updating, working memory training, transfer effects, n-back task, spaced practice, massed practice, practice distribution, near transfer, far transfer, fluid intelligence
- MeSH terms
- Adolescent, Female, Humans, Intelligence, Learning, Male, Memory, Short-Term, Transfer, Psychology, Young Adult
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