The asymmetry of working memory training transfer: A systematic review and meta-analysis
Open accessAbstract
Working memory (WM) training is widely used to enhance cognitive performance; however, its transfer to untrained tasks remains controversial. Traditional theories emphasize task similarity as the primary determinant of training transfer, but they cannot fully explain emerging evidence of asymmetric transfer across tasks. Two directional transfer hypotheses are proposed here to explain this asymmetry: the resource-based transfer advantage hypothesis predicts stronger transfer from more to less cognitively demanding tasks, whereas the ability-based transfer advantage hypothesis predicts stronger transfer from tasks engaging broader task-general abilities to tasks engaging task-specific narrower abilities. The contrast between span and updating paradigms provides an informative framework for distinguishing these accounts, because updating tasks are generally more cognitively demanding, whereas span tasks involve broader abilities. Accordingly, we conducted a three-level meta-analysis of 55 studies (208 effect sizes; N = 3,492). The results showed that updating training transferred reliably to span tasks ( g = 0.176, p < .001), whereas span training did not reliably transfer to updating tasks ( g = 0.048, p = .453), supporting the resource-based account. This advantage of updating training also extended to non-WM outcomes and was more pronounced at lower training doses, in non-adult samples, and with verbal stimuli. Together, these findings extend WM transfer theory beyond task similarity by highlighting the importance of cognitive demand and offer guidance for WM training design.
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Written from the paper’s full text.
TL;DR
This three-level meta-analysis of 55 studies (208 effect sizes; N = 3,492) finds asymmetric working memory training transfer: updating training reliably transfers to span tasks, whereas span training does not reliably transfer to updating tasks. The pattern supports a resource-based transfer advantage, with the updating advantage also extending to non-WM outcomes and appearing stronger at lower training doses, in non-adults, and with verbal stimuli.
Key findings
- Overall cross-paradigm transfer between updating and span tasks was significant: Hedges’ g = 0.146, 95% CI [.077, .214], p < .001.
- Updating-to-span transfer was reliable (g = 0.176, 95% CI [.104, .249], p < .001), while span-to-updating transfer was not (g = 0.048, 95% CI [−.078, .173], p = .453); the directional difference was marginal, F(1, 202) = 3.259, p = .073.
- Updating training also transferred to non-WM outcomes (g = 0.120, 95% CI [0.048, 0.192], p = .001), whereas span training did not (g = 0.008, 95% CI [−0.102, 0.118], p = .885); the difference was marginal, F(1, 298) = 3.174, p = .076.
- Asymmetry was significant in low-dose training (≤ 5 h; F(1, 57) = 4.551, p = .037), non-adults (F(1, 45) = 18.19, p < .001), and marginally in verbal-stimulus training (F(1, 40) = 3.346, p = .075), but not in high-dose, adult, or nonverbal subgroups.
Methods
- Systematic review and three-level random-effects meta-analysis of adaptive WM training studies with control groups and pre/post transfer tests; 55 independent studies, 208 within-WM effect sizes, N = 3,492, plus 302 non-WM effect sizes.
- Searches covered English- and Chinese-language databases through September 30, 2024; inclusion required healthy participants, adaptive span or updating training, and at least one untrained WM transfer task.
- Hedges’ g quantified transfer; transfer direction was the primary moderator, with secondary moderators of training dosage, developmental stage, and stimulus domain; sensitivity and publication-bias analyses were also conducted.
Limitations
- The paper states more studies examined updating-to-span than span-to-updating transfer, some moderator analyses had small numbers of studies, and some updating tasks may have been insufficiently sensitive to detect span-training transfer; this imbalance may risk overestimating asymmetry.
- The paper states the meta-analysis included only healthy populations, so generalizability to clinical groups is unclear; it also notes limited power to test a storage–manipulation account directly and difficulty quantifying cognitive demand across domains.
- Evident from the text: the key directional difference in the primary within-WM analysis was only marginal (p = .073), as was the non-WM directional difference (p = .076), and several subgroup asymmetries were not statistically significant.
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Claims the paper makes
32 of 67 cited sources checked · 12 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Evidence on training dosage and transfer is mixed.
“early meta-analytic work reported positive associations between training amount and transfer effects (Weicker et al., 2016), whereas later syntheses reported little or no moderation by total training hours (Soveri et al., 2017a), or effects that were largely confined to the nearest transfer outcomes (You et al., 2021).”
Quote in the paperSubstantial claim1 of 3 sources checked - Premisecitation
Children and adolescents often show larger or more efficient transfer.
“Children and adolescents – those undergoing neurocognitive development – often show larger or more efficient transfer (Liu et al., 2023; Zhao et al., 2018)”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Liu et al., 2023 source
- cites Zhao et al., 2018 source
The Conclusion reports transfer effects in children but only a short-lived effect on the go/no-go task in young adults, suggesting greater potential for training-induced improvements in children. The study did not examine adolescents, and its findings do not establish that larger or more efficient transfer occurs often. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Meta-analyses have reported persistent critiques of similarity-based theories' explanatory limitations.
“persistent critiques of these theories’ explanatory limitations have been reported by meta-analyses (Soveri et al., 2017a; You et al., 2021).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Soveri et al., 2017a source
In “Mechanisms behind transfer” (page unavailable), Soveri et al. report that transfer was substantial mainly to untrained n-back tasks and suggest task-specific strategies rather than broadly improved working memory as an explanation. “Directions for future studies” cautions that overlooking task-specific effects can mislead theoretical explanations. These passages support a critique of one explanation for transfer, but they do not report persistent critiques of similarity-based theories as such. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites You et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The relationship between baseline and training-related gains or transfer is inconsistent across studies.
“the relationship between baseline and training-related gains or transfer is inconsistent across studies (Jaeggi et al., 2008; Wiemers et al., 2019; Zhu et al., 2017)”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Jaeggi et al., 2008 source
The Discussion reports that pretest fluid intelligence was not reliably related to training-related gains in fluid intelligence. This supplies one finding about baseline ability and transfer, but the paper does not establish that the relationship is inconsistent across studies. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Wiemers et al., 2019 source
- cites Zhu et al., 2017 source
- Premisecitation
WM training transfer to untrained tasks is limited.
“The limited transfer of WM training to untrained tasks has long constrained its applications (Morrison & Chein, 2011; Zhao et al., 2022).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Morrison & Chein, 2011 source
The ‘Lack of consistency in experimental methods and findings’ section reports both successful and failed transfer to untrained cognitive-control and fluid-intelligence tasks, supporting the view that transfer is limited or uncertain. The paper does not establish the broader historical claim that limited transfer has long constrained WM training’s applications; it also reports some successful transfer. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Zhao et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Backward and complex span tasks load on a common span construct.
“prior latent-variable evidence indicates that they load on a common span construct (Engle et al., 1999; Redick & Lindsey, 2013)”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Engle et al., 1999 source
- cites Redick & Lindsey, 2013 source
The Present research section says simple and complex span tasks tend to correlate strongly and measure many similar processes. But the paper does not report latent-variable evidence that backward span and complex span load on a common factor; its latent-variable discussion concerns complex span and n-back tasks. Page numbers are unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Similar directional asymmetries have been reported in motor learning.
“Similar directional asymmetries have been reported in motor learning (Ikegami et al., 2010; Teixeira, 2000), raising the possibility that asymmetric transfer reflects a broader property of learning rather than a WM-specific phenomenon.”
Quote in the paperNot a substantial claim1 of 2 sources checked - Premisecitation
Most previous meta-analyses examined transfer from one trained WM paradigm to a broad range of outcomes.
“Unlike most previous meta-analyses, which examined transfer from one trained WM paradigm to a broad range of outcomes (Sala et al., 2019a; Soveri et al., 2017a), we focused exclusively on studies reporting span-to-updating or updating-to-span transfer.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Sala et al., 2019a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Soveri et al., 2017a source
- Premisecitation
Meta-analytic conventions have consistently classified backward and complex span within the span domain rather than with updating paradigms.
“meta-analytic conventions have consistently classified them within the span domain rather than with updating paradigms (Sala & Gobet, 2020)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Sala & Gobet, 2020 source
The Moderators section (page unavailable) classifies reverse digit span and odd-one-out tasks as span tasks, separately from updating tasks such as n-back and running tasks. This supports the distinction for the examples given, but the paper does not establish that meta-analyses have consistently classified backward and complex span this way. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Computational modeling shows that models trained under higher-precision discrimination conditions generalize more broadly to lower-precision conditions than vice versa.
“Computational modeling is also consistent with this possibility, showing that models trained under higher-precision discrimination conditions generalize more broadly to lower-precision conditions than vice versa (Wenliang & Seitz, 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wenliang & Seitz, 2018 source
- Findingown data
The advantage of updating training was more pronounced at lower training doses.
“was more pronounced at lower training doses”
Quote in the paperNot a substantial claim - Findingown data
The advantage of updating training extended to non-WM outcomes.
“This advantage of updating training also extended to non-WM outcomes”
Quote in the paperSubstantial claim - Findingown data
The advantage of updating training was more pronounced with verbal stimuli.
“with verbal stimuli”
Quote in the paperNot a substantial claim - Findingown data
The advantage of updating training was more pronounced in non-adult samples.
“in non-adult samples”
Quote in the paperNot a substantial claim - Findingown data
Updating training transferred reliably to span tasks (g = 0.176, p < .001).
“updating training transferred reliably to span tasks (g = 0.176, p < .001)”
Quote in the paperSubstantial claim - Findingown data
Span training did not reliably transfer to updating tasks (g = 0.048, p = .453).
“span training did not reliably transfer to updating tasks (g = 0.048, p = .453)”
Quote in the paperSubstantial claim - Findingown data
The cross-paradigm transfer effect showed no significant within-study heterogeneity (ω2 = 0.000, χ2(1) = 0.000, p = 1.000).
“This transfer effect demonstrated no significant within-study heterogeneity (ω2 = 0.000, χ2(1) = 0.000, p = 1.000) but significant between-studies heterogeneity (τ2 = 0.023, χ2(1) = 23.699, p <.001).”
Quote in the paperNot a substantial claim - Findingown data
Span training did not show a significant transfer effect to non-WM domains (g = 0.008, 95% CI [−0.102, 0.118], p = .885).
“When transfer direction was entered as the moderator, updating training showed a significant transfer effect to non-WM domains (g = 0.120, 95% CI [0.048, 0.192], p =.001), whereas span training did not (g = 0.008, 95% CI [−0.102, 0.118], p =.885).”
Quote in the paperSubstantial claim - Findingown data
In adults, span training did not transfer to updating (g = 0.087, 95% CI [-.068,.241], p = .271).
“However, in adults, although a similar descriptive pattern was observed – updating training showed a significant transfer to span tasks (g = 0.157, 95% CI [.078,.236], p <.001), and span training did not transfer to updating (g = 0.087, 95% CI [-.068,.241], p =.271) – the asymmetry between transfer directions was not statistically supported in adults (F(1, 150) = 0.695, p =.406).”
Quote in the paperSubstantial claim - Findingown data
Updating training showed a significant transfer effect to non-WM domains (g = 0.120, 95% CI [0.048, 0.192], p = .001).
“When transfer direction was entered as the moderator, updating training showed a significant transfer effect to non-WM domains (g = 0.120, 95% CI [0.048, 0.192], p =.001), whereas span training did not (g = 0.008, 95% CI [−0.102, 0.118], p =.885).”
Quote in the paperSubstantial claim - Findingown data
A more restricted supplementary analysis focusing on intelligence-related measures yielded a consistent pattern.
“A more restricted supplementary analysis focusing on intelligence-related measures yielded a consistent pattern (see OSM Table S4).”
Quote in the paperNot a substantial claim - Findingown data
In adults, the asymmetry between transfer directions was not statistically supported (F(1, 150) = 0.695, p = .406).
“However, in adults, although a similar descriptive pattern was observed – updating training showed a significant transfer to span tasks (g = 0.157, 95% CI [.078,.236], p <.001), and span training did not transfer to updating (g = 0.087, 95% CI [-.068,.241], p =.271) – the asymmetry between transfer directions was not statistically supported in adults (F(1, 150) = 0.695, p =.406).”
Quote in the paperSubstantial claim - Findingown data
Span training showed no significant transfer to updating tasks (g = 0.048, 95% CI [-.078,.173], p = .453).
“Primary moderator analysis demonstrated an asymmetric transfer pattern: updating training significantly transferred to span tasks (g = 0.176, 95% CI [.104,.249], p <.001), whereas span training showed no significant transfer to updating tasks (g = 0.048, 95% CI [-.078,.173], p =.453).”
Quote in the paperSubstantial claim - Findingown data
The funnel plot exhibited notable symmetry.
“The funnel plot exhibited notable symmetry (Fig. 3), and Egger’s regression test confirmed a nonsignificant intercept (t(202) = −0.087, p =.931), indicating that there was no systematic publication bias in the effect-size estimation.”
Quote in the paperSubstantial claim - Findingown data
In the verbal stimulus training group, span training showed no significant transfer effect (g = 0.063, 95% CI [-.112,.238], p = .471).
“In the verbal stimulus training group, updating training significantly transferred to span tasks (g = 0.256, 95% CI [.134,.378], p <.001), whereas span training showed no significant transfer effect (g = 0.063, 95% CI [-.112,.238], p =.471).”
Quote in the paperSubstantial claim - Findingown data
A three-level meta-analysis found a significant cross-paradigm transfer effect between updating and span tasks (Hedges' g = 0.146, 95% CI [.077,.214], p < .001).
“A three-level meta-analysis model revealed a significant cross-paradigm transfer effect between updating and span tasks (Hedges’ g = 0.146, 95% confidence interval (CI) [.077,.214], p <.001; Appendix A in the OSM lists all effect sizes).”
- Also stated in: § Overall cross-paradigm near transfer effect · boosted
“These results confirmed a significant near-transfer effect within the WM domain.”
Quote in the paperSubstantial claim - Also stated in: § Overall cross-paradigm near transfer effect · boosted
- Findingown data
The fail-safe N of 2,816 far exceeded the critical threshold, reinforcing the reliability of the findings against potential unpublished studies.
“Furthermore, the fail-safe N of 2,816 far exceeded the critical threshold, reinforcing the reliability of the findings against potential unpublished studies.”
Quote in the paperSubstantial claim - Findingown data
In adults, updating training showed a significant transfer to span tasks (g = 0.157, 95% CI [.078,.236], p < .001).
“However, in adults, although a similar descriptive pattern was observed – updating training showed a significant transfer to span tasks (g = 0.157, 95% CI [.078,.236], p <.001), and span training did not transfer to updating (g = 0.087, 95% CI [-.068,.241], p =.271) – the asymmetry between transfer directions was not statistically supported in adults (F(1, 150) = 0.695, p =.406).”
Quote in the paperNot a substantial claim - Findingown data
In the low-dosage group (≤ 5 h), updating training yielded a significant transfer effect to span tasks (g = 0.200, 95% CI [.057,.342], p = .007).
“When training dosage was classified on the basis of the lower quartile boundary (5 h), the low-dosage group exhibited a significant asymmetric transfer pattern: updating training yielded a significant transfer effect to span tasks (g = 0.200, 95% CI [.057,.342], p =.007), whereas span training did not transfer to updating tasks (g = −0.034, 95% CI [-.200,.133], p =.686).”
Quote in the paperSubstantial claim - Findingown data
The difference between updating-based and span-based far transfer was marginally significant (F(1, 298) = 3.174, p = .076).
“The difference between updating-based and span-based far transfer was marginally significant (F(1, 298) = 3.174, p =.076; see Table 2).”
Quote in the paperNot a substantial claim - Findingown data
Updating training significantly transferred to span tasks (g = 0.176, 95% CI [.104,.249], p < .001).
“Primary moderator analysis demonstrated an asymmetric transfer pattern: updating training significantly transferred to span tasks (g = 0.176, 95% CI [.104,.249], p <.001), whereas span training showed no significant transfer to updating tasks (g = 0.048, 95% CI [-.078,.173], p =.453).”
Quote in the paperSubstantial claim - Findingown data
After four influential cases were excluded, the cross-paradigm transfer effect between updating and span tasks remained significant (g = 0.142, SE = .036, 95% CI [.071,.212], m = 53 studies, k = 200 effect sizes, p < .001).
“After four influential cases were excluded, the cross-paradigm transfer effect between the updating and span tasks remained significant (g = 0.142, SE =.036, 95% CI [.071,.212], m = 53 studies, k = 200 effect sizes, p <.001).”
Quote in the paperSubstantial claim - Findingown data
In the high-dosage group (> 5 h), only updating training retained significant transfer (g = 0.178, 95% CI [.094,.262], p < .001).
“In contrast, in the high-dosage group, although only updating training retained significant transfer (g = 0.178, 95% CI [.094,.262], p <.001), the difference between the two transfer directions was not significant (F(1, 143) = 0.490, p =.485; see Table 3).”
Quote in the paperSubstantial claim - Findingown data
The transfer effect from updating-to-span was marginally larger than that from span-to-updating (F(1, 202) = 3.259, p = .073).
“The transfer effect from updating-to-span was marginally larger than that from span-to-updating (F(1, 202) = 3.259, p =.073; see Table 1).”
- Also stated in: § Discussion · boosted
“Specifically, updating-to-span transfer yielded significantly greater effects than span-to-updating transfer, supporting a resource-based transfer advantage hypothesis: training tasks that impose higher cognitive resource demands transfer more readily to tasks with lower demands than vice versa.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · boosted
- Findingown data
No significant differences in effect sizes were observed between the low- and high-dose groups for either transfer direction (Fs < 1.563, ps > .218).
“Notably, no significant differences in effect sizes were observed between the low- and high-dose groups for either transfer direction (Fs < 1.563, ps >.218).”
Quote in the paperNot a substantial claim - Findingown data
In non-adults, span training yielded no significant transfer to updating tasks (g = −0.056, 95% CI [-.180,.068], p = .370).
“A significant asymmetric transfer pattern was observed in non-adults: updating training significantly transferred to span tasks (g = 0.362, 95% CI [.209,.516], p <.001), whereas span training yielded no significant transfer to updating tasks (g = −0.056, 95% CI [-.180,.068], p =.370).”
Quote in the paperSubstantial claim - Findingown data
The span-to-updating transfer effect did not differ between non-adults and adults (F(1, 41) = 1.498, p = .228).
“This developmental divergence may stem from a quantitatively greater updating-to-span transfer effect in non-adults than in adults (F(1, 154) = 2.072, p =.152), whereas the span-to-updating transfer effect did not differ between the two populations (F(1, 41) = 1.498, p =.228).”
Quote in the paperSubstantial claim - Findingown data
In the verbal stimulus training group, the difference between the two transfer directions was marginally significant (F(1, 40) = 3.346, p = .075).
“The difference between the two transfer directions was marginally significant (F(1, 40) = 3.346, p =.075).”
Quote in the paperSubstantial claim - Findingown data
In non-adults, updating training significantly transferred to span tasks (g = 0.362, 95% CI [.209,.516], p < .001).
“A significant asymmetric transfer pattern was observed in non-adults: updating training significantly transferred to span tasks (g = 0.362, 95% CI [.209,.516], p <.001), whereas span training yielded no significant transfer to updating tasks (g = −0.056, 95% CI [-.180,.068], p =.370).”
Quote in the paperSubstantial claim - Findingown data
Both the primary and secondary moderator analyses demonstrated consistent asymmetric transfer patterns after the exclusion of influential cases.
“Critically, both the primary and the secondary moderator analyses demonstrated consistent asymmetric transfer patterns after the exclusion of influential cases (for detailed results, see Table S10, OSM).”
Quote in the paperSubstantial claim - Findingown data
The cross-paradigm transfer effect showed significant between-studies heterogeneity (τ2 = 0.023, χ2(1) = 23.699, p < .001).
“This transfer effect demonstrated no significant within-study heterogeneity (ω2 = 0.000, χ2(1) = 0.000, p = 1.000) but significant between-studies heterogeneity (τ2 = 0.023, χ2(1) = 23.699, p <.001).”
Quote in the paperSubstantial claim - Findingown data
In the low-dosage group (≤ 5 h), span training did not transfer to updating tasks (g = −0.034, 95% CI [-.200,.133], p = .686).
“When training dosage was classified on the basis of the lower quartile boundary (5 h), the low-dosage group exhibited a significant asymmetric transfer pattern: updating training yielded a significant transfer effect to span tasks (g = 0.200, 95% CI [.057,.342], p =.007), whereas span training did not transfer to updating tasks (g = −0.034, 95% CI [-.200,.133], p =.686).”
Quote in the paperSubstantial claim - Findingown data
In the nonverbal stimulus group, updating-to-span transfer did not reach statistical significance (g = 0.179, 95% CI [-.051,.409], p = .124).
“In contrast, in the nonverbal stimulus group, neither updating-to-span transfer (g = 0.179, 95% CI [-.051,.409], p =.124) nor span-to-updating transfer (g = −0.042, 95% CI [-.331,.246], p =.771) reached statistical significance.”
Quote in the paperSubstantial claim - Findingown data
In non-adults, the transfer effect size for updating training was significantly greater than for span training (F(1, 45) = 18.19, p < .001).
“Moreover, the transfer effect size for updating training was significantly greater than that for span training (F(1, 45) = 18.19, p <.001).”
Quote in the paperSubstantial claim - Findingown data
Within the WM domain, the directional advantage of updating over span was evident across task subtypes, including simple and complex span tasks as well as single and dual n-back tasks.
“Within the WM domain, we observed a directional advantage of updating over span, and this asymmetry was evident across task subtypes, including simple and complex span tasks as well as single and dual n-back tasks.”
Quote in the paperSubstantial claim - Findingown data
A supplementary moderator analysis indicated that the overall asymmetric pattern was not materially changed by whether the training and transfer tasks shared the same stimulus domain.
“This analysis indicated that the overall asymmetric pattern was not materially changed by whether the training and transfer tasks shared the same stimulus domain (see Table S8, OSM).”
Quote in the paperNot a substantial claim - Findingown data
In the verbal stimulus training group, updating training significantly transferred to span tasks (g = 0.256, 95% CI [.134,.378], p < .001).
“In the verbal stimulus training group, updating training significantly transferred to span tasks (g = 0.256, 95% CI [.134,.378], p <.001), whereas span training showed no significant transfer effect (g = 0.063, 95% CI [-.112,.238], p =.471).”
Quote in the paperSubstantial claim - Findingown data
In the nonverbal stimulus group, span-to-updating transfer did not reach statistical significance (g = −0.042, 95% CI [-.331,.246], p = .771).
“In contrast, in the nonverbal stimulus group, neither updating-to-span transfer (g = 0.179, 95% CI [-.051,.409], p =.124) nor span-to-updating transfer (g = −0.042, 95% CI [-.331,.246], p =.771) reached statistical significance.”
Quote in the paperNot a substantial claim - Findingown data
In the low-dosage group, the transfer effect from updating to span was significantly greater than from span to updating (F(1, 57) = 4.551, p = .037).
“Critically, the transfer effect from updating to span was significantly greater than that from span to updating (F(1, 57) = 4.551, p =.037).”
Quote in the paperSubstantial claim - Findingown data
In the high-dosage group, the difference between the two transfer directions was not significant (F(1, 143) = 0.490, p = .485).
“In contrast, in the high-dosage group, although only updating training retained significant transfer (g = 0.178, 95% CI [.094,.262], p <.001), the difference between the two transfer directions was not significant (F(1, 143) = 0.490, p =.485; see Table 3).”
Quote in the paperSubstantial claim - Findingown data
The moderator analyses revealed several conditions under which the transfer advantage was more pronounced.
“Beyond the overall asymmetry, our moderator analyses revealed several conditions under which the transfer advantage was more pronounced.”
Quote in the paperSubstantial claim - Findingreasoning
The training domain shaped the observed transfer pattern: studies using verbal materials showed clearer asymmetry than studies using nonverbal materials.
“Third, the training domain also shaped the observed transfer pattern. Studies using verbal materials showed clearer asymmetry than studies using nonverbal materials.”
Quote in the paperSubstantial claim - Premisecitation
WM training studies have reported directional or asymmetric transfer effects even when tasks are closely matched in similarity.
“WM training studies have reported directional or asymmetric transfer effects – cases in which training on Task A transfers to Task B, but training on Task B does not comparably transfer back to Task A – even when the two tasks are closely matched in similarity (Liu et al., 2023; Roque-Gutierrez & Ibbotson, 2023).”
- Also stated in: § Similarity-based accounts · plain
“Asymmetric transfer has been reported in individual WM training studies (Liu et al., 2023; Roque-Gutierrez & Ibbotson, 2023)”
Quote in the paperSubstantial claim0 of 2 sources checked - Also stated in: § Similarity-based accounts · plain
- Interpretationown data
These findings extend WM transfer theory beyond task similarity by highlighting the importance of cognitive demand.
“Together, these findings extend WM transfer theory beyond task similarity by highlighting the importance of cognitive demand”
Quote in the paperSubstantial claim - Premisereasoning
Similarity-based accounts are typically nondirectional: matched overlap provides no principled basis for predicting that A→B transfer should systematically exceed B→A transfer without additional assumptions.
“similarity-based accounts are typically nondirectional: when two tasks are matched in overlap, they provide no principled basis for predicting that A→B transfer should systematically exceed B→A transfer, unless additional assumptions are introduced”
Quote in the paperSubstantial claim - Interpretationown data
The results support the resource-based account.
“supporting the resource-based account”
Quote in the paperSubstantial claim - Interpretationown data
The pattern suggests that, beyond task similarity, the directional relation between paradigms plays a critical role in determining transfer.
“This pattern suggests that, beyond task similarity, the directional relation between paradigms plays a critical role in determining transfer.”
Quote in the paperSubstantial claim - Study design and conductown data
A three-level random-effects meta-analysis model was used because 42 of the 55 included studies contributed multiple effect sizes.
“Given that 42 of the 55 included studies contributed multiple effect sizes – violating the independence assumption of conventional meta-analysis – we adopted a three-level random-effects meta-analysis model”
Quote in the paperSubstantial claim - Study design and conductown data
Sensitivity analysis showed that the results remained stable after removal of influential cases.
“the results remained stable, indicating that the conclusions were not unduly driven by outliers.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The findings extend traditional similarity-based accounts of WM transfer by indicating that transfer depends not only on the overlap between trained and transfer tasks but also on their relative cognitive resource demands.
“Together, these findings extend traditional similarity-based accounts of WM transfer by indicating that transfer depends not only on the overlap between trained and transfer tasks but also on their relative cognitive resource demands.”
Quote in the paperSubstantial claim - Interpretationown data
This study provides the first meta-analytic evidence for directional asymmetry in WM training transfer.
“This study provides the first meta-analytic evidence for directional asymmetry in WM training transfer.”
Quote in the paperSubstantial claim - Interpretationown data
The findings support a resource-based transfer advantage hypothesis: training tasks that impose higher cognitive resource demands transfer more readily to tasks with lower demands than vice versa.
“Specifically, updating-to-span transfer yielded significantly greater effects than span-to-updating transfer, supporting a resource-based transfer advantage hypothesis: training tasks that impose higher cognitive resource demands transfer more readily to tasks with lower demands than vice versa.”
Quote in the paperSubstantial claim - Interpretationown data
Taken together, the results provide no evidence of significant publication bias in the current meta-analysis.
“Taken together, these results provide no evidence of significant publication bias in the current meta-analysis.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
By restricting the analysis to adaptive training studies, the study reduced the likelihood that the observed asymmetry reflected only differences in nominal task difficulty.
“In addition, by restricting the analysis to adaptive training studies, we reduced the likelihood that the observed asymmetry reflected only differences in nominal task difficulty.”
Quote in the paperSubstantial claim - Interpretationown data
The attenuation of the asymmetry at higher dosage thresholds may stem from increased standard error of the span-to-updating transfer estimates with prolonged training duration.
“Follow-up moderator analyses were conducted in finer training dosage ranges (less than 5 h, 5–7 h, 7–10 h, and greater than 10 h), and the results suggested that this attenuation may stem from increased standard error of the span-to-updating transfer estimates with prolonged training duration (see Appendix E, Table S6 (OSM)).”
Quote in the paperNot a substantial claim - Interpretationreasoning
The resource-based account concerns a broader resource-demand relation: transfer asymmetry may be expected when a high-demand task engages control processes that are also required by a lower-demand variant.
“Rather, it concerns a broader resource-demand relation: transfer asymmetry may be expected when a high-demand task engages control processes that are also required by a lower-demand variant.”
Quote in the paperSubstantial claim - Interpretationreasoning
The applicability of the resource-based principle may be less clear in domains in which executive-control demands are less central, such as simple processing-speed training.
“Nevertheless, the applicability of this principle may be less clear in domains in which executive-control demands are less central, such as simple processing-speed training.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The pattern suggests that the observed asymmetry is not merely a paradigm-specific phenomenon within WM but may reflect a broader tendency for more cognitively demanding and integrative training to yield wider transfer than more circumscribed practice does.
“This pattern suggests that the observed asymmetry is not merely a paradigm-specific phenomenon within WM but may reflect a broader tendency for more cognitively demanding and integrative training to yield wider transfer than more circumscribed practice does.”
Quote in the paperSubstantial claim - Interpretationcitation
The imbalance in the number of studies may increase the risk of overestimating asymmetrical transfer.
“Although the number of studies does not inherently determine effect size, such an imbalance may increase the risk of overestimating asymmetrical transfer (Rubio‐Aparicio et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rubio‐Aparicio et al., 2017 source
- Interpretationown data
The transfer advantage further generalizes beyond WM, as updating training also produces reliable transfer to non-WM outcomes.
“This advantage further generalizes beyond WM, as updating training also produces reliable transfer to non-WM outcomes.”
Quote in the paperSubstantial claim - Interpretationreasoning
The strongest rationale for generalization concerns other executive-function training domains, such as inhibition, set shifting and divided attention, where task variants may likewise differ systematically in control demands.
“From this perspective, the strongest rationale for generalization concerns other executive-function training domains, such as inhibition, set shifting and divided attention, where task variants may likewise differ systematically in control demands.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Because developmental status and baseline capacity usually cannot be well disentangled in meta-analytic data, the developmental interpretation remains tentative.
“However, because developmental status and baseline capacity usually cannot be well disentangled in the meta-analytic data, this interpretation remains tentative.”
Quote in the paperSubstantial claim - Interpretationown data
The findings suggest that the resource-based transfer advantage may generalize to broader transfer outcomes.
“Beyond the asymmetry observed between span and updating within WM, our findings suggest that the resource-based transfer advantage may generalize to broader transfer outcomes.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 29
- May combine two claims. 45
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPerceptual learning studies report transfer from configuration to element learning but not the opposite.
“Perceptual learning studies similarly report transfer from configuration to element learning but not the opposite”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Gong et al., 2022 source
The Discussion reports complete configuration-to-element transfer and an asymmetric pattern. It describes element-to-configuration transfer as weak, however, rather than absent, so “not the opposite” overstates the finding. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationBoth span and updating recruit frontoparietal systems, with updating eliciting stronger and more widespread engagement.
“Neuroimaging evidence likewise shows that both recruit frontoparietal systems, with updating eliciting stronger and more widespread engagement, which is consistent with greater cognitive demand (Rodríguez-Nieto et al., 2022; Wager & Smith, 2003).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Rodríguez-Nieto et al., 2022 source
Section 4.4 reports frontoparietal recruitment in both storage-related Recognition tasks and executive-component Updating tasks. It does not compare span tasks directly with updating; moreover, it describes the storage-related Recognition network as more distributed than the Manipulation and N-back networks, rather than the reverse. The proposed explanation in terms of greater cognitive demand is not established for a span-versus-updating comparison. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Wager & Smith, 2003 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTask similarity has dominated transfer frameworks for more than a century.
“Since Thorndike’s common elements theory was established in the 1900 s, task similarity has dominated transfer frameworks for more than a century, centering on similarity as a primary determinant of training transfer likelihood (Waris et al., 2015; Woodworth & Thorndike, 1901).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Waris et al., 2015 source
The Introduction and Discussion (pages unavailable) treat cognitive overlap between training and transfer tasks as a predictor of transfer strength. They do not establish that task similarity has dominated transfer frameworks since Thorndike’s theory or for more than a century. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Woodworth & Thorndike, 1901 source
Classified as probably not a substantial claim.
PremisecitationEvidence on stimulus domain and transfer is unclear/competing.
“Some scholars argue that the novelty of visuospatial materials facilitates new learning and transfer (Gathercole et al., 2019; Norris et al., 2019), whereas competing evidence suggests stronger transfer following verbal WM training (Ni et al., 2023)”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Gathercole et al., 2019 source
In Study 1, the paper proposes that training on spatial serial-recall tasks can develop new cognitive routines and produce robust transfer because an established visuospatial short-term-memory system may be absent. It does not attribute that effect to the novelty of visuospatial materials generally; its prediction concerns particular recall tasks, and the Study 1 Discussion says transfer across other kinds of visuospatial stimuli could not be tested. Page numbers were not available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Norris et al., 2019 source
The Discussion (page unavailable) proposes that the unfamiliar demands of a visual change-detection task may prompt a new cognitive routine that produces transfer. That supports a qualified link between novelty, learning and transfer, but not the broader claim that novelty of visuospatial materials generally facilitates transfer: the Results (page unavailable) found no substantial cross-domain transfer from circle-span training. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Ni et al., 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationSpan performance primarily reflects storage/maintenance, whereas updating reflects maintenance plus additional manipulation/control components.
“Latent-variable and theoretical evidence suggests that span performance primarily reflects storage/maintenance, whereas updating reflects maintenance plus additional manipulation/control components (Aben et al., 2012; Burgoyne et al., 2025).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Aben et al., 2012 source
In “Simple Span Versus Complex Span” (page unavailable), the paper describes simple span tasks as primarily involving maintenance and lists n-back among working-memory tasks involving maintenance and manipulation. It also says span tasks are not process-pure: complex spans add processing demands, so the claim that span performance generally reflects storage or maintenance is too broad. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Burgoyne et al., 2025 source
May combine two claims.
PremisecitationThe cognitive operations and neural correlates of both span and updating paradigms are relatively well characterized.
“This design reduced conceptual heterogeneity and strengthened interpretability because the cognitive operations and neural correlates of both paradigms are relatively well characterized (Aben et al., 2012; Burgoyne et al., 2025).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Aben et al., 2012 source
The Simple Span Versus Complex Span section describes what span and n-back tasks require, and Neurobiological Findings discusses brain activity during memory tasks, including n-back. But the paper cautions that these tasks are not process-pure, that their underlying constructs are not well established, and that imaging findings are difficult to interpret. It therefore does not fully support the claim that the operations and neural correlates of both paradigms are relatively well characterized. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Burgoyne et al., 2025 source
The Discussion and Conclusion distinguish the cognitive demands of complex span and updating tasks, particularly maintenance versus disengagement. The paper mentions n-back’s use in fMRI research, but the passages do not characterize the neural correlates of both paradigms. Page numbers were not available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCompared with nondominant-limb training, dominant-limb training results in more bilateral motor activation and stronger transfer, and a related pattern has been reported for discrete-to-rhythmic movement transfer.
“For example, compared with nondominant-limb training, dominant-limb training results in more bilateral motor activation and stronger transfer (Teixeira, 2000), and a related pattern has been reported for discrete-to-rhythmic movement transfer (Ikegami et al., 2010; Schaal et al., 2004).”
Quote in the paperNot a substantial claim1 of 3 sources checkedMay combine two claims.
PremisecitationTransfer has been observed from high-precision visual perception training to relatively low-precision WM tasks, but not in the reverse direction.
“Consistent with this interpretation, transfer has been observed from high-precision visual perception training to relatively low-precision WM tasks (Jia et al., 2021), but not in the reverse direction (Cai et al., 2022).”
Quote in the paperSubstantial claim1 of 2 sources checkedMay combine two claims.
Study design and conductown dataThe training-dose categories were defined empirically from the distribution of training hours rather than from trajectory-based markers of learning, so the pattern should not be taken as direct evidence regarding fast versus slow learning phases in WM training.
“However, this pattern should not be taken as direct evidence regarding fast versus slow learning phases in WM training (Ericson & Klingberg, 2023; Yamashita et al., 2015), because our training-dose categories were defined empirically from the distribution of training hours rather than from trajectory-based markers of learning.”
Quote in the paperSubstantial claim2 of 2 sources checkedMay combine two claims.
PremisecitationCore executive functions are separable but partially overlapping, and demanding cognitive tasks can recruit overlapping domain-general control systems.
“This rationale is consistent with evidence that core executive functions are separable but partially overlapping (Friedman & Miyake, 2017; Miyake et al., 2000) and that demanding cognitive tasks can recruit overlapping domain-general control systems (Duncan, 2010; Fedorenko et al., 2013).”
Quote in the paperSubstantial claim1 of 3 sources checkedMay combine two claims.
PremisereasoningVisual novelty can facilitate within-paradigm transfer, but paradigm-specific benefits associated with visual novelty may not support or even hinder cross-paradigm generalization.
“Notably, this pattern differs from evidence that visual novelty can facilitate within-paradigm transfer (Gathercole et al., 2019; Norris et al., 2019), perhaps because the paradigm-specific benefits associated with visual novelty may not support or even hinder cross-paradigm generalization.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Gathercole et al., 2019 source
The General discussion (page unavailable) reports transfer when trained and untrained tasks share a paradigm, including visuo-spatial serial recall. It does not identify visual novelty as the factor facilitating that transfer. The suggestion about cross-paradigm generalization is framed as the citing authors’ own explanation, rather than a finding attributed to this source. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Norris et al., 2019 source
The Results (Transfer data; page unavailable) show transfer from color-change training to an untrained line-orientation task using the same paradigm. The Discussion describes the change-detection demands as unfamiliar and proposes a new cognitive routine as one possible explanation, but it does not establish that visual novelty caused the transfer. The cross-paradigm explanation follows the citations as the citing authors’ own speculation. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
Interpretationown dataThe transfer advantage does not simply scale with the amount of training, which is consistent with previous meta-analytic evidence showing no reliable dose-transfer relationship.
“This suggests that the transfer advantage does not simply scale with the amount of training, which is consistent with previous meta-analytic evidence showing no reliable dose-transfer relationship (Au et al., 2015; Soveri et al., 2017a).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Au et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Soveri et al., 2017a source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationComputational work highlights the importance of feature-invariant representations for transfer.
“This interpretation is broadly consistent with computational work highlighting the importance of feature-invariant representations for transfer (Johnston & Fusi, 2023; Yosinski et al., 2014).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Johnston & Fusi, 2023 source
- cites Yosinski et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationOne possible explanation is that updating ability matures later than span ability does, leaving greater room for updating-based training to benefit young individuals.
“One possible explanation is that updating ability matures later than span ability does, leaving greater room for updating-based training to benefit young individuals (Ahmed et al., 2022; Skalaban et al., 2022).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Ahmed et al., 2022 source
The Method section describes backward digit span as requiring manipulation and updating, and the Discussion reports that backward-span performance emerged at age 5, compared with age 3 for forward span. This supports a later onset for an updating-demanding task, but the paper does not establish when updating ability matures relative to span ability or test whether updating-based training benefits young people more. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Skalaban et al., 2022 source
The Results (Development of working memory; page unavailable) show that n-back performance peaks in the late teens and early twenties, supporting continued development of working memory in young people. The paper does not compare the maturation of updating and span abilities or test whether updating-based training benefits young people. (LLM, conf=0.77)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationClinical conditions are heterogeneous, and emerging evidence suggests that transfer patterns may vary across etiologies.
“This question is especially important given the heterogeneity of clinical conditions and emerging evidence that transfer patterns may vary across etiologies (Zhang et al., 2025).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Zhang et al., 2025 source
The Introduction describes heterogeneity in intervention effects within schizophrenia, and the Discussion reports near-transfer from working-memory training but no far-transfer to other executive-function domains. The paper does not compare clinical etiologies or say that transfer patterns vary across them; its findings are limited to patients with schizophrenia. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe asymmetric transfer patterns persisted when dosage thresholds were increased to 7 h and 10 h, although statistical significance was attenuated.
“The asymmetric transfer patterns persisted when dosage thresholds were increased to 7 h and 10 h, although the statistical significance was attenuated (see Appendix E, Table S5 (OSM)).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFollow-up analyses stratifying tasks into dual versus single n-back and simple versus complex span consistently replicated the asymmetric transfer pattern, excluding subtype variation as the cause.
“These analyses consistently replicated the asymmetric transfer pattern (see OSM Table S3), excluding the possibility that the asymmetry was caused by subtype variation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe updating-to-span transfer effect was quantitatively greater in non-adults than in adults, but this difference was not statistically significant (F(1, 154) = 2.072, p = .152).
“This developmental divergence may stem from a quantitatively greater updating-to-span transfer effect in non-adults than in adults (F(1, 154) = 2.072, p =.152), whereas the span-to-updating transfer effect did not differ between the two populations (F(1, 41) = 1.498, p =.228).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEgger's regression test confirmed a nonsignificant intercept (t(202) = −0.087, p = .931), indicating no systematic publication bias in the effect-size estimation.
“The funnel plot exhibited notable symmetry (Fig. 3), and Egger’s regression test confirmed a nonsignificant intercept (t(202) = −0.087, p =.931), indicating that there was no systematic publication bias in the effect-size estimation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo significant differences emerged for either transfer direction between the verbal and nonverbal stimulus groups (Fs < 0.026, ps > .873).
“No significant differences emerged for either transfer direction between the two stimulus groups (Fs < 0.026, ps >.873), and we proposed that the asymmetry observed in the verbal training group may be attributable to its smaller standard error (verbal: SE =.060 vs. nonverbal: SE =.114).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUpdating training showed broader transfer to non-WM outcomes, including intelligence-related measures, whereas span training showed little evidence of such effects.
“Updating training showed broader transfer to non-WM outcomes, including intelligence-related measures, whereas span training showed little evidence of such effects.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDevelopmental stage modulated the transfer asymmetry: compared with adults, non-adults exhibited greater updating-to-span transfer, leading to more significant asymmetry.
“Second, developmental stage modulated the transfer asymmetry: Compared with adults, non-adults exhibited greater updating-to-span transfer, leading to more significant asymmetry.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe transfer advantage was evident at low training doses, and increasing training duration was not associated with progressively greater transfer effects in either direction.
“First, the transfer advantage was evident at low training doses, and increasing training duration was not associated with progressively greater transfer effects in either direction.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationAsymmetry-like patterns have been suggested across studies.
“asymmetry-like patterns have been suggested across studies (Cai et al., 2022; Schwarb et al., 2016)”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Premisecitationn-back training has been reported to transfer to syntactic processing more than syntactic training transfers back to WM outcomes.
“n-back training has been reported to transfer to syntactic processing more than syntactic training transfers back to WM outcomes (Roque-Gutierrez & Ibbotson, 2023)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Roque-Gutierrez & Ibbotson, 2023 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMotor-learning studies report stronger transfer from dominant- to nondominant-limb training.
“motor-learning studies report stronger transfer from dominant- to nondominant-limb training (Teixeira, 2000)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Teixeira, 2000 source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataPublication bias was assessed using funnel plot, Egger's regression test, and fail-safe number.
“To determine the risk of publication bias, we first generated a funnel plot by plotting individual study effect sizes (x-axis) against their standard errors (y-axis).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataSensitivity analyses excluding older adult samples yielded virtually identical results, indicating that the adult pattern was not driven by the inclusion of older participants.
“To ensure stability, sensitivity analyses excluding older adult samples were conducted and yielded virtually identical results, indicating that the adult pattern was not driven by the inclusion of older participants (see Table S7, OSM).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningOne possible explanation is that updating training, which requires continuous monitoring and replacement of WM content, involves broader or more integrative processing than span training does, and therefore supports wider transfer.
“One possible explanation is that updating training, which requires the continuous monitoring and replacement of WM content, involves broader or more integrative processing than span training does, and therefore supports wider transfer.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe asymmetry observed in the verbal training group may be attributable to its smaller standard error (verbal SE = .060 vs. nonverbal SE = .114).
“No significant differences emerged for either transfer direction between the two stimulus groups (Fs < 0.026, ps >.873), and we proposed that the asymmetry observed in the verbal training group may be attributable to its smaller standard error (verbal: SE =.060 vs. nonverbal: SE =.114).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTwo authors independently coded the studies, with an overall agreement rate of 98%.
“the first author coded all the studies, and a second author independently coded them again. Intercoder reliability was exceptionally high, with an overall agreement rate of 98%.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAuditory temporal discrimination training can transfer to visual tasks with lower precision demands, whereas the reverse pattern is not observed, presumably because the trained representations are insufficiently fine grained.
“Consistent with this view, auditory temporal discrimination training can transfer to visual tasks with lower precision demands, whereas the reverse pattern is not observed, presumably because the trained representations are insufficiently fine grained (Bratzke et al., 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bratzke et al., 2012 source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe literature search was systematic, covering English and Chinese databases up to September 30, 2024.
“We conducted a systematic search across both English- and Chinese-language databases.”
- Also stated in: § Literature search and inclusion criteria · plain
“The search covered all relevant studies published up to September 30, 2024.”
Quote in the paperSubstantial claim- Also stated in: § Literature search and inclusion criteria · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationA related possibility is that more demanding training establishes more precise and stable representations, which in turn support transfer.
“A related possibility is that more demanding training establishes more precise and stable representations, which in turn support transfer.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningTaken together, the design features support the conclusion that the observed asymmetry is theoretically meaningful: WM transfer appears to be shaped not only by task similarity but also by the relative level and organization of cognitive demand.
“Taken together, these design features support the conclusion that the observed asymmetry is theoretically meaningful: WM transfer appears to be shaped not only by task similarity but also by the relative level and organization of cognitive demand.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe study was preregistered: an a priori analysis plan was uploaded to OSF before initial analyses.
“Before conducting the initial analyses, we uploaded an a priori analysis-plan document to the Open Science Framework (OSF).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataWM transfer appears to be shaped not only by whether two tasks overlap, but also by how their cognitive demands are structured relative to one another.
“In other words, WM transfer appears to be shaped not only by whether two tasks overlap, but also by how their cognitive demands are structured relative to one another.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe asymmetry extended to broader non-WM outcomes, suggesting that the transfer advantage of higher-demand training may generalize beyond paradigm-specific WM effects.
“Importantly, this asymmetry also extended to broader non-WM outcomes, suggesting that the transfer advantage of higher-demand training may generalize beyond paradigm-specific WM effects.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationAsymmetric transfer may reflect a broader property of learning rather than a WM-specific phenomenon.
“Similar directional asymmetries have been reported in motor learning (Ikegami et al., 2010; Teixeira, 2000), raising the possibility that asymmetric transfer reflects a broader property of learning rather than a WM-specific phenomenon.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe findings support the hypothesis that cognitive/neural plasticity during developmental stages amplifies both the magnitude and the asymmetry of transfer effects.
“These findings support the hypothesis that cognitive/neural plasticity during developmental stages amplifies both the magnitude and the asymmetry of transfer effects.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe asymmetry was most evident under lower training dosages, in non-adult samples, and in studies using verbal materials, indicating important boundary conditions for the proposed account.
“In addition, this asymmetry was most evident under lower training dosages, in non-adult samples, and in studies using verbal materials, indicating important boundary conditions for the proposed account.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCross-task generalization in frontoparietal systems is enhanced when tasks require active manipulation rather than simple maintenance, indicating that manipulations promote more abstract representations.
“Support for this possibility comes from evidence that cross-task generalization in frontoparietal systems is enhanced when tasks require active manipulation rather than simple maintenance, indicating that manipulations promote more abstract representations (Shi et al., 2025).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shi et al., 2025 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningDifferences in how sensory pathways project to shared neural systems may contribute to such asymmetries and thus provide a complementary mechanism to the resource-based account proposed here.
“Differences in how sensory pathways project to shared neural systems may contribute to such asymmetries and thus provide a complementary mechanism to the resource-based account proposed here.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationDifferences in cognitive demand across domains are difficult to quantify using conventional behavioral measures, limiting direct tests of the resource-based account.
“In addition, differences in cognitive demand across domains (e.g., working memory vs. inhibition; Liu et al., 2023) are difficult to quantify using conventional behavioral measures, limiting direct tests of the resource-based account.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Liu et al., 2023 source
May combine two claims.
Study design and conductnone givenSeveral methodological limitations of the present meta-analysis warrant consideration, including the greater number of studies examining updating-to-span than span-to-updating transfer, the relatively small number of studies in some moderator analyses, and the possibility that certain updating tasks were insufficiently sensitive to detect transfer from span training.
“First, several methodological limitations of the present meta-analysis warrant consideration, including the greater number of studies examining updating-to-span than span-to-updating transfer, the relatively small number of studies in some moderator analyses, and the possibility that certain updating tasks were insufficiently sensitive to detect transfer from span training.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe supplementary analysis using an alternative storage-to-manipulation versus manipulation-to-storage framework revealed a similar trend but lacked enough statistical power to detect the transfer asymmetry.
“Because only a small number of studies could be recoded using an alternative storage-to-manipulation versus manipulation-to-storage framework, our supplementary analysis revealed a similar trend but lacked enough statistical power to detect the transfer asymmetry (see Table S9, OSM).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBy showing that transfer depends not only on task similarity but also on relative cognitive demand, the findings extend traditional accounts of WM training transfer and support a resource-based perspective, according to which training on more demanding tasks transfers more effectively to less demanding tasks.
“By showing that transfer depends not only on task similarity but also on relative cognitive demand, these findings extend traditional accounts of WM training transfer and support a resource-based perspective, according to which training on more demanding tasks transfers more effectively to less demanding tasks.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe present meta-analysis provides the first systematic evidence for asymmetric transfer in WM training: updating-to-span transfer yields reliable gains, whereas span-to-updating transfer remains negligible.
“In conclusion, the present meta-analysis provides the first systematic evidence for asymmetric transfer in WM training: updating-to-span transfer yields reliable gains, whereas span-to-updating transfer remains negligible.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationOne possible explanation is that verbal processing may facilitate more abstract or relational representations, whereas nonverbal materials may more often elicit concrete and feature-specific coding.
“One possible explanation is that verbal processing may facilitate more abstract or relational representations, whereas nonverbal materials may more often elicit concrete and feature-specific coding (Alfred & Kraemer, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Alfred & Kraemer, 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe possible mechanisms are not mutually exclusive: broader neural recruitment, more precise representations, or more abstract representations may jointly contribute to asymmetric transfer.
“Importantly, these possible mechanisms are not mutually exclusive: broader neural recruitment, more precise representations, or more abstract representations may jointly contribute to asymmetric transfer.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe asymmetry is especially pronounced under lower training doses, in younger samples, and with verbal materials, indicating important boundary conditions for transfer.
“Moreover, the asymmetry is especially pronounced under lower training doses, in younger samples, and with verbal materials, indicating important boundary conditions for transfer.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataIn the present dataset, some verbal materials also involved richer semantic processing (e.g., sentences), which may further support abstraction.
“In the present dataset, some verbal materials also involved richer semantic processing (e.g., sentences), which may further support abstraction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIncreasing manipulation complexity, such as in executive n-back tasks, leads to broader transfer outcomes.
“This finding is also consistent with training findings showing that increasing manipulation complexity, such as in executive n-back tasks, leads to broader transfer outcomes (Cao et al., 2026).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cao et al., 2026 source
Classified as probably not a substantial claim.
InterpretationreasoningThe converging patterns raise the possibility that asymmetric transfer reflects a broader tendency for training that recruits more extensive or integrative processing to transfer more readily than training that recruits less extensive or integrative processing.
“These converging patterns raise the possibility that asymmetric transfer reflects a broader tendency for training that recruits more extensive or integrative processing to transfer more readily than training that recruits less extensive or integrative processing.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataBecause the present meta-analysis focused on healthy populations, it remains unclear whether the observed asymmetry can be generalized to clinical groups.
“Second, because the present meta-analysis focused on healthy populations, it remains unclear whether the observed asymmetry can be generalized to clinical groups.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
InterpretationcitationA third possibility is that the observed asymmetry reflects differences along a storage-manipulation continuum such that training requiring active manipulation promotes broader transfer than training focused primarily on maintenance does.
“A third possibility, motivated by recent WM evidence, is that the observed asymmetry reflects differences along a storage–manipulation continuum such that training requiring active manipulation promotes broader transfer than training focused primarily on maintenance does, resulting in the transfer asymmetry.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningOverall, the moderator findings suggest that the transfer advantage is not only systematic but also context dependent.
“Overall, these moderator findings suggest that the transfer advantage is not only systematic but also context dependent.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing). May combine two claims.
PremisecitationLonger training may induce fatigue and reduce motivation, potentially offsetting any benefits of additional practice.
“Au et al. further proposed that longer training may induce fatigue and reduce motivation, potentially offsetting any benefits of additional practice.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Au et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRoque-Gutierrez and Ibbotson (2023) reported an ability-based transfer advantage in the WM-linguistic domain, indicating that transfer asymmetry in higher-order cognitive training requires more study.
“Roque-Gutierrez and Ibbotson (2023), for example, reported an ability-based transfer advantage in the WM–linguistic domain, indicating that transfer asymmetry in higher-order cognitive training requires more study.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Roque-Gutierrez and Ibbotson, 2023 source
May combine two claims.
PremisecitationChildren and adolescents may have greater transfer potential because their cognitive systems remain under development, and prior meta-analytic findings show stronger cross-domain transfer from WM training in younger populations.
“This pattern is consistent with evidence that children and adolescents may have greater transfer potential because their cognitive systems remain under development (Liu et al., 2023), as well as with prior meta-analytic findings of stronger cross-domain transfer from WM training in younger populations (Sala et al., 2019b).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Liu et al., 2023 source
- cites Sala et al., 2019b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The authors state this as an assumption.
Maintenance is a cross-task general core component required by both span and updating paradigms, whereas updating is a more task-constrained configuration that includes maintenance plus specialized operations.
“Within our ability-based operationalization, maintenance is treated as a cross-task general core component required by both paradigms, whereas updating is treated as a more task-constrained configuration that necessarily includes maintenance but additionally recruits specialized operations”
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.
- Consistentχ²(1) = 0reported p = 1 · recomputed p = 1.000
“χ2(1) = 0.000, p = 1.000”
- Consistentχ²(1) = 23.699reported p < .001 · recomputed p < .001
“χ2(1) = 23.699, p < .001”
- ConsistentF(1, 202) = 3.259reported p = .073 · recomputed p = .073
“F(1, 202) = 3.259, p = .073”
- ConsistentF(1, 298) = 3.174reported p = .076 · recomputed p = .076
“F(1, 298) = 3.174, p = .076”
- ConsistentF(1, 57) = 4.551reported p = .037 · recomputed p = .037
“F(1, 57) = 4.551, p = .037”
- ConsistentF(1, 143) = 0.49reported p = .485 · recomputed p = .485
“F(1, 143) = 0.490, p = .485”
- ConsistentF(1, 45) = 18.19reported p < .001 · recomputed p < .001
“F(1, 45) = 18.19, p < .001”
- ConsistentF(1, 150) = 0.695reported p = .406 · recomputed p = .406
“F(1, 150) = 0.695, p = .406”
- ConsistentF(1, 154) = 2.072reported p = .152 · recomputed p = .152
“F(1, 154) = 2.072, p = .152”
- ConsistentF(1, 41) = 1.498reported p = .228 · recomputed p = .228
“F(1, 41) = 1.498, p = .228”
- ConsistentF(1, 40) = 3.346reported p = .075 · recomputed p = .075
“F(1, 40) = 3.346, p = .075”
- Consistentt(202) = -0.087reported p = .931 · recomputed p = .931
“t(202) = −0.087, p = .931”
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.
Within-WM directional difference is called significant despite p = .073
MajorThe discussion says updating-to-span effects were significantly greater, but the reported test of that directional difference has p = .073 and is described in the results as marginal.
“Specifically, updating-to-span transfer yielded significantly greater effects than span-to-updating transfer, supporting a resource-based transfer advantage hypothesis”
“The transfer effect from updating-to-span was marginally larger than that from span-to-updating (F(1, 202) = 3.259, p =.073; see Table 1).”
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Neuroimaging studies of working memory:
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Training and plasticity of working memory
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Transfer of Learning After Updating Training Mediated by the Striatum
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Working memory training revisited: A multi-level meta-analysis of n-back training studies
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Working Memory Training May Increase Working Memory Capacity but Not Fluid Intelligence
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Complex span and n-back measures of working memory: A meta-analysis
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The nature and transfer of cognitive skills
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About the Distinction between Working Memory and Short-Term Memory
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“Latent-variable and theoretical evidence suggests that span performance primarily reflects storage/maintenance, whereas updating reflects maintenance plus additional manipulation/control components (Aben et al., 2012; Burgoyne et al., 2025).”
Working memory training involves learning new skills
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Working memory training does not improve intelligence in healthy young adults
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Failure of Working Memory Training to Enhance Cognition or Intelligence
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Distinct transfer effects of training different facets of working memory capacity.
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Working memory training in typically developing children: A multilevel meta-analysis
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“…WM paradigms, including both span-and updating-based training, often reported weaker or null far-transfer effects (e.g., Melby-Lervåg & Hulme, 2013; Sala & Gobet, 2020; Schwaighofer et al., 2015), whereas meta-analyses focusing specifically on updating/n-back training more often observed reliable,…”
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Dual n-back training increases the capacity of the focus of attention
Lilienthal, L., Tamez, E., Shelton, J. T., Myerson, J., & Hale, S. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0335-6 · Cited by 112 · see citing works
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Training and transfer effects of response inhibition training in children and adults
Zhao, X., Chen, L., & Maes, J. H. R. (2018) · Developmental Science · doi:10.1111/desc.12511 · Cited by 98 · see citing works
Timing and Force Components in Bilateral Transfer of Learning
Teixeira, L. A. (2000) · Brain and Cognition · doi:10.1006/brcg.1999.1205 · Cited by 94 · cited 3× · see citing works
“Similar directional asymmetries have been reported in motor learning (Ikegami et al., 2010; Teixeira, 2000), Fig.”
Abstract representations emerge naturally in neural networks trained to perform multiple tasks
Johnston, W. J., & Fusi, S. (2023) · Nature Communications · doi:10.1038/s41467-023-36583-0 · Cited by 89 · cited 1× · see citing works
“This interpretation is broadly consistent with computational work highlighting the importance of fea-ture-invariant representations for transfer (Johnston & Fusi, 2023; Yosinski et al., 2014).”
Rodríguez-Nieto, G., Seer, C., Sidlauskaite, J., Vleugels, L., Van Roy, A., Hardwick, R., & Swinnen, S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119665 · Cited by 89 · cited 1× · see citing works
“Neuroimaging evidence likewise shows that both recruit frontoparietal systems, with updating eliciting stronger and more widespread engagement, which is consistent with greater cognitive demand (Rodríguez-Nieto et al., 2022; Wager & Smith, 2003).”
A simultaneous examination of two forms of working memory training: Evidence for near transfer only
Minear, M., Brasher, F., Guerrero, C. B., Brasher, M., Moore, A., & Sukeena, J. (2016) · Memory & Cognition · doi:10.3758/s13421-016-0616-9 · Cited by 85 · see citing works
Shame, guilt, and posttraumatic stress symptoms: A three-level meta-analysis
Shi, C., Ren, Z., Zhao, C., Zhang, T., & Chan, S. H. (2021) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2021.102443 · Cited by 85 · cited 1× · see citing works
“This model accounts for three sources of variance: the sampling variance of individual effect sizes (Level 1), the variance among effect sizes within the same study (Level 2), and the variance between studies (Level 3) (Shi et al., 2021; Van den Noortgate et al., 2013).”
Ahmed, S. F., Ellis, A., Ward, K. P., Chaku, N., & Davis-Kean, P. E. (2022) · Developmental Psychology · doi:10.1037/dev0001396 · Cited by 84 · cited 1× · see citing works
“One possible explanation is that updating ability matures later than span ability does, leaving greater room for updating-based training to benefit young individuals (Ahmed et al., 2022; Skala-ban et al., 2022).”
Deep Neural Networks for Modeling Visual Perceptual Learning
Wenliang, L. K., & Seitz, A. R. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1620-17.2018 · Cited by 83 · cited 1× · see citing works
“Computational modeling is also consistent with this possibility, showing that models trained under higher-precision discrimination conditions generalize more broadly to lower-precision conditions than vice versa (Wenliang & Seitz, 2018).”
Does working memory training have to be adaptive?
von Bastian, C. C., & Eschen, A. (2016) · Psychological Research · doi:10.1007/s00426-015-0655-z · Cited by 83 · see citing works
Do the effects of working memory training depend on baseline ability level?
Foster, J. L., Harrison, T. L., Hicks, K. L., Draheim, C., Redick, T. S., & Engle, R. W. (2017) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/xlm0000426 · Cited by 76 · see citing works
Lawlor-Savage, L., & Goghari, V. M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151817 · Cited by 74 · see citing works
N ‐back training and transfer effects revealed by behavioral responses and EEG
Pergher, V., Wittevrongel, B., Tournoy, J., Schoenmakers, B., & Hulle, M. M. V. (2018) · Brain and Behavior · doi:10.1002/brb3.1136 · Cited by 71 · see citing works
Asymmetric Transfer of Visuomotor Learning between Discrete and Rhythmic Movements
Ikegami, T., Hirashima, M., Taga, G., & Nozaki, D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3066-09.2010 · Cited by 69 · cited 2× · see citing works
“Similar directional asymmetries have been reported in motor learning (Ikegami et al., 2010; Teixeira, 2000), Fig.”
Hadwin, J. A., & Richards, H. J. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00047 · Cited by 65 · see citing works
The role of strategy use in working memory training outcomes
Fellman, D., Jylkkä, J., Waris, O., Soveri, A., Ritakallio, L., Haga, S., Salmi, J., Nyman, T. J., & Laine, M. (2020) · Journal of Memory and Language · doi:10.1016/j.jml.2019.104064 · Cited by 64 · see citing works
Sala, G., Aksayli, N. D., Tatlidil, K. S., Gondo, Y., & Gobet, F. (2019) · Intelligence · doi:10.1016/j.intell.2019.101386 · Cited by 63 · cited 5× · see citing works
“Effect sizes with absolute values exceeding 3.0 were excluded as outliers (Sala et al., 2019a).”
InfluentialIncreased parietal activity after training of interference control
Oelhafen, S., Nikolaidis, A., Padovani, T., Blaser, D., Koenig, T. W., & Perrig, W. J. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.08.012 · Cited by 62 · see citing works
Bratzke, D., Seifried, T., & Ulrich, R. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3162-0 · Cited by 59 · cited 1× · see citing works
“Consistent with this view, auditory temporal discrimination training can transfer to visual tasks with lower precision demands, whereas the reverse pattern is not observed, presumably because the trained representations are insufficiently fine grained (Bratzke et al., 2012).”
Rubio‐Aparicio, M., Sánchez‐Meca, J., López‐López, J. A., Botella, J., & Marín‐Martínez, F. (2017) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12092 · Cited by 56 · see citing works
Are Working Memory Training Effects Paradigm-Specific?
Holmes, J., Woolgar, F., Hampshire, A., & Gathercole, S. E. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01103 · Cited by 55 · see citing works
Working memory training improves visual short-term memory capacity
Schwarb, H., Nail, J., & Schumacher, E. H. (2016) · Psychological Research · doi:10.1007/s00426-015-0648-y · Cited by 55 · cited 2× · see citing works
“1A, left panel), whereas updating tasks require continuous monitoring and manipulation of dynamically maintained information (Cohen et al., 1997; Schwarb et al., 2016; Fig.”
Smell-Based Memory Training: Evidence of Olfactory Learning and Transfer to the Visual Domain
Olofsson, J., Ekström, I., Lindström, J., Syrjänen, E., Neely, A. S., Nyberg, L. H., Jonsson, S., & Larsson, M. U. (2020) · Chemical Senses · doi:10.1093/chemse/bjaa049 · Cited by 54 · cited 1× · see citing works
“…distinction examined here, previous work has reported directional asymmetries across sensory modalities, such as olfactory-to-visual but not visual-to-olfactory transfer (Burke et al., 2025; Olofsson et al., 2020), suggesting that asymmetric transfer may reflect broader system-level constraints.”
Ang, S. Y., Lee, K., Cheam, F., Poon, K., & Koh, J. (2015) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2015.03.001 · Cited by 53 · see citing works
Yamashita, M., Kawato, M., & Imamizu, H. (2015) · Scientific Reports · doi:10.1038/srep07622 · Cited by 53 · cited 1× · see citing works
“However, this pattern should not be taken as direct evidence regarding fast versus slow learning phases in WM training (Ericson & Klingberg, 2023; Yamashita et al., 2015), because our training-dose categories were defined empirically from the distribution of training hours rather than from…”
The Influence of Individual Differences in Cognitive Ability on Working Memory Training Gains
Wiemers, E. A., Redick, T. S., & Morrison, A. B. (2019) · Journal of Cognitive Enhancement · doi:10.1007/s41465-018-0111-2 · Cited by 48 · cited 1× · see citing works
“Although headroom accounts are frequently linked to lower baseline performance in younger samples, the relationship between baseline and training-related gains or transfer is inconsistent across studies (Jaeggi et al., 2008; Wiemers et al., 2019; Zhu et al., 2017).”
Transfer after working memory updating training
Waris, O., Soveri, A., & Laine, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0138734 · Cited by 47 · cited 1× · see citing works
“Since Thorndike’s common elements theory was established in the 1900 s, task similarity has dominated transfer frameworks for more than a century, centering on similarity as a primary determinant of training transfer likelihood (Waris et al., 2015; Wood-worth & Thorndike, 1901).”
Linares, R., Borella, E., Lechuga, M. T., Carretti, B., & Pelegrina, S. (2019) · PLOS ONE · doi:10.1371/journal.pone.0211321 · Cited by 38 · see citing works
Pattern of Near Transfer Effects Following Working Memory Training With a Dual <i>N</i>-Back Task
Soveri, A., Karlsson, E. P. A., Waris, O., Grönholm-Nyman, P., & Laine, M. (2017) · Experimental Psychology · doi:10.1027/1618-3169/a000370 · Cited by 34 · cited 7× · see citing works
“This suggests that the transfer advantage does not simply scale with the amount of training, which is consistent with previous meta-analytic evidence showing no reliable dose-transfer relationship (Au et al., 2015; Soveri et al., 2017a).”
InfluentialPahor, A., Seitz, A. R., & Jaeggi, S. M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01384-w · Cited by 34 · see citing works
Küper, K., & Karbach, J. (2016) · Journal of Cognitive Psychology · doi:10.1080/20445911.2015.1118106 · Cited by 33 · cited 1× · see citing works
“…analyses stratifying tasks into: (a) dual n-back (requiring simultaneous monitoring of two sensory modalities) versus single n-back paradigms (Küper & Karbach, 2016), and (b) simple span versus complex span tasks (requiring completion of an interleaved nonmemory task) (Harrison et al., 2013).”
Can short-term memory be trained?
Norris, D. G., Hall, J., & Gathercole, S. E. (2019) · Memory & Cognition · doi:10.3758/s13421-019-00901-z · Cited by 31 · cited 2× · see citing works
“Notably, this pattern differs from evidence that visual novelty can facilitate within-par-adigm transfer (Gathercole et al., 2019; Norris et al., 2019), perhaps because the paradigm-specific benefits associated with visual novelty may not support or even hinder cross-paradigm generalization.”
Adaptive working memory training does not produce transfer effects in cognition and neuroimaging
Ripp, I., Emch, M., Wu, Q., Lizarraga, A., Udale, R., von Bastian, C. C., Koch, K., & Yakushev, I. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02272-7 · Cited by 31 · see citing works
The role of proactive interference in working memory training and transfer
Redick, T. S., Wiemers, E. A., & Engle, R. W. (2019) · Psychological Research · doi:10.1007/s00426-019-01172-8 · Cited by 27 · see citing works
Jia, K., Li, Y., Gong, M., Huang, H., Wang, Y., & Li, S. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.2780-20.2021 · Cited by 25 · cited 1× · see citing works
“Consistent with this interpretation, transfer has been observed from high-precision visual perception training to relatively low-precision WM tasks (Jia et al., 2021), but not in the reverse direction (Cai et al., 2022).”
Working memory training shows immediate and long-term effects on cognitive performance in children
Pugin, F., Metz, A. J., Stauffer, M., Wolf, M., Jenni, O. G., & Huber, R. (2014) · F1000Research · doi:10.12688/f1000research.3665.2 · Cited by 19 · see citing works
Training and transfer effects of N -back training for brain-injured and healthy subjects
Lindeløv, J. K., Dall, J. O., Kristensen, C. D., Aagesen, M. H., Olsen, S. A., Snuggerud, T. R., & Sikorska, A. (2016) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2016.1141692 · Cited by 19 · see citing works
Skalaban, L. J., Cohen, A. O., Conley, M. I., Lin, Q., Schwartz, G. N., Ruiz-Huidobro, N. A. M., Cannonier, T., Martinez, S. A., & Casey, B. J. (2022) · Learning & Memory · doi:10.1101/lm.053539.121 · Cited by 14 · see citing works
Neural basis of cognitive training and development
Klingberg, T. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.05.003 · Cited by 13 · cited 2× · see citing works
“This view has sparked extensive WM training research (Klingberg, 2010, 2016).”
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
Which “working memory” are we talking about? Complex span tasks versus N-back
Burgoyne, A. P., Frank, D. J., & Macnamara, B. N. (2025) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02622-0 · Cited by 12 · cited 1× · see citing works
“Latent-variable and theoretical evidence suggests that span performance primarily reflects storage/maintenance, whereas updating reflects maintenance plus additional manipulation/control components (Aben et al., 2012; Burgoyne et al., 2025).”
Verbal and visual cognition: Individual differences in the lab, in the brain, and in the classroom
Alfred, K. L., & Kraemer, D. J. M. (2017) · Developmental Neuropsychology · doi:10.1080/87565641.2017.1401075 · Cited by 11 · cited 1× · see citing works
“One possible explanation is that verbal processing may facilitate more abstract or relational representations, whereas nonverbal materials may more often elicit concrete and feature-specific coding (Alfred & Kraemer, 2017).”
Roque-Gutierrez, E., & Ibbotson, P. (2023) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2022.105593 · Cited by 11 · cited 2× · see citing works
“…have reported directional or asymmetric transfer effects – cases in which training on Task A transfers to Task B, but training on Task B does not comparably transfer back to Task A – even when the two tasks are closely matched in similarity (Liu et al., 2023; Roque-Gutierrez & Ibbotson, 2023).”
Liu, H., Qi, Y., Zhang, H., Liang, Y., Lu, L., Zhou, J., Zhang, T., & Yu, X. (2023) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2022.105603 · Cited by 10 · cited 6× · see citing works
“…consistent with evidence that children and adolescents may have greater transfer potential because their cognitive systems remain under development (Liu et al., 2023), as well as with prior meta-analytic findings of stronger cross-domain transfer from WM training in younger populations (Sala et…”
InfluentialAsymmetric negative transfer effects of working memory training
Ni, N., Gathercole, S. E., Norris, D. G., & Saito, S. (2023) · Memory & Cognition · doi:10.3758/s13421-023-01412-8 · Cited by 9 · cited 1× · see citing works
“…that the novelty of visuospatial materials facilitates new learning and transfer (Gather-cole et al., 2019; Norris et al., 2019), whereas competing evidence suggests stronger transfer following verbal WM training (Ni et al., 2023), which is potentially linked to more abstract symbolic operations.”
Studer-Luethi, B., & Meier, B. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00202-3 · Cited by 9 · see citing works
A dual-process model for cognitive training
Ericson, J., & Klingberg, T. (2023) · npj Science of Learning · doi:10.1038/s41539-023-00161-2 · Cited by 8 · cited 2× · see citing works
“Although Ericson and Klingberg (2023) suggest that the transition to a slower learning phase may occur as early as 1.5 h in children, this estimate may not be generalizable to the populations and training protocols included here.”
InfluentialBooth, 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
Jakoby, H., Raviv, O., Jaffe-Dax, S., Lieder, I., & Ahissar, M. (2019) · Journal of Experimental Psychology: General · doi:10.1037/xge0000573 · Cited by 6 · see citing works
The Neural Mechanism Underlying Visual Working Memory Training and Its Limited Transfer Effect
Cai, Y., Yang, C., Wang, S., & Xue, G. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01897 · Cited by 6 · cited 2× · see citing works
“Asymmetric transfer has been reported in individual WM training studies (Liu et al., 2023; Roque-Gutierrez & Ibbot-son, 2023), and asymmetry-like patterns have been suggested across studies (Cai et al., 2022; Schwarb et al., 2016).”
Self-citationPan, D., Daotuan, W. A. N. G., & Li, X. (2018) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2018.01105 · Cited by 6 · see citing works
Zhang, T., Su, M., Huo, X., & Zhao, X. (2025) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2025.100628 · Cited by 3 · cited 1× · see citing works
“This question is especially important given the heterogeneity of clinical conditions and emerging evidence that transfer patterns may vary across etiologies (Zhang et al., 2025).”
ZHU, Z., DUAN, Y., & WANG, S. (2017) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2017.01022 · Cited by 3 · cited 1× · see citing works
“Although headroom accounts are frequently linked to lower baseline performance in younger samples, the relationship between baseline and training-related gains or transfer is inconsistent across studies (Jaeggi et al., 2008; Wiemers et al., 2019; Zhu et al., 2017).”
Burke, I., Chesser, C., Brown, C. P. K., Watkins, R., Butterworth, P., Olofsson, J., Laver, K., Hampstead, B. M., & Bahar‐Fuchs, A. (2025) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70120 · Cited by 2 · cited 1× · see citing works
“…distinction examined here, previous work has reported directional asymmetries across sensory modalities, such as olfactory-to-visual but not visual-to-olfactory transfer (Burke et al., 2025; Olofsson et al., 2020), suggesting that asymmetric transfer may reflect broader system-level constraints.”
Configuration perceptual learning and its relationship with element perceptual learning
Gong, X., Wang, Q., & Fang, F. (2022) · Journal of Vision · doi:10.1167/jov.22.13.2 · Cited by 1 · cited 1× · see citing works
“Perceptual learning studies similarly report transfer from configuration to element learning but not the opposite; this is consistent with the proposal that configuration processing involves both elemental representations and higher-order integrative operations (Gong et al., 2022).”
Tan, A. S. L., Lau, R. C., Anderson, P. J., Gathercole, S. E., Bellgrove, M. A., Wiley, J. F., & Spencer‐Smith, M. M. (2024) · Journal of Cognition · doi:10.5334/joc.348 · Cited by 1 · see citing works
Shi, D., Shu, L., & Yu, Q. (2025) · doi:10.1101/2025.11.26.690703 · Cited by 1 · cited 1× · see citing works
“Support for this possibility comes from evidence that cross-task generalization in frontoparietal systems is enhanced when tasks require active manipulation rather than simple maintenance, indicating that manipulations promote more abstract representations (Shi et al., 2025).”
Zając-Lamparska, L. (2024) · BMC Research Notes · doi:10.1186/s13104-024-06844-2 · Cited by 1 · see citing works
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 · cited 1×
“This finding is also consistent with training findings showing that increasing manipulation complexity, such as in executive n-back tasks, leads to broader transfer outcomes (Cao et al., 2026).”
Sala, G., & Gobet, F. (2019) · Collabra: Psychology · doi:10.2478/collabra.2019.5.1.18 · cited 5×
“Effect sizes with absolute values exceeding 3.0 were excluded as outliers (Sala et al., 2019a).”
InfluentialThe Nature of Visual Short-Term Memory Training Transfer: Evidence from A Systematical Transfer Test
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Unresolved
Flagged first, then by citations
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- Authors
- Fu, J., Zhou, Y., Yuan, M., & Cai, Y.
- Affiliations
- Beijing Normal University (CN)
- Zhejiang University (CN)
- Anhui Agricultural University (CN)
- Corresponding author
- Cai, Ying
- ORCID
- Fu, Jiayi
- Venue
- Psychonomic Bulletin & Review
- Published
- 2026-09-08
- Volume
- 33
- Issue
- 7
- ISSN
- 1069-9384 (ISSN-L)
- 1531-5320
- PMC
- PMC13553679
- OpenAlex
- W6906261565
- Semantic Scholar
- 143e1201034e8f24733b577242e76d8da880a45e
- Cited by
- 0
- References
- 133
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Psychonomic Bulletin & Review (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- OSF Preprints (OSF Preprints) (submittedVersion, cc-by-nc)
- Open Science Framework
- Funders
- National Natural Science Foundation of China (32100851)
- the Fundamental Research Funds for the Central Universities (226-2024-00118)
- the National Science and Technology Innovation 2030-Major Projects (2021ZD0200401, 2021ZD0200409)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Cognitive and developmental aspects of mathematical skills
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- working memory training, transfer of training, task similarity, cognitive demand, working memory updating, working memory span, training dose, verbal stimuli, training program design
- MeSH terms
- Cognitive Training, Humans, Memory, Short-Term, Transfer, Psychology
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