Aksayli, N. D., Sala, G., & Gobet, F. (2019). The cognitive and academic benefits of Cogmed: A meta-analysis. Educational Research Review, 27, 229–243. https://doi.org/10.1016/j.edurev.2019.04.003

Article  Google Scholar 

Au, J., Buschkuehl, M., Duncan, G. J., & Jaeggi, S. M. (2016). There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lervåg and Hulme (2015). Psychonomic Bulletin & Review, 23(1), 331–337. https://doi.org/10.3758/s13423-015-0967-4

Article  Google Scholar 

Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., & Jaeggi, S. M. (2015). Improving fluid intelligence with training on working memory: A meta-analysis. Psychonomic Bulletin & Review, 22(2), 366–377. https://doi.org/10.3758/s13423-014-0699-x

Article  Google Scholar 

Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature, 533(7604), Article 7604. https://doi.org/10.1038/533452a

Bakker, M., Veldkamp, C. L. S., van Assen, M. A. L. M., Crompvoets, E. A. V., Ong, H. H., Nosek, B. A., Soderberg, C. K., Mellor, D., & Wicherts, J. M. (2020). Ensuring the quality and specificity of preregistrations. PLOS Biology, 18(12), e3000937. https://doi.org/10.1371/journal.pbio.3000937

Article  CAS  PubMed Central  Google Scholar 

Bartoš, F., Maier, M., Quintana, D. S., & Wagenmakers, E. J. (2022). Adjusting for publication bias in JASP and R: Selection models, PET-PEESE, and robust Bayesian meta-analysis. Advances in Methods and Practices in Psychological Science, 5(3). https://doi.org/10.1177/25152459221109259

Basak, C., Qin, S., & O’Connell, M. A. (2020). Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: A comprehensive meta-analysis of randomized controlled trials. Psychology and Aging, 35(2), 220–249. https://doi.org/10.1037/pag0000442

Article  PubMed Central  Google Scholar 

Bonnechère, B., Langley, C., & Sahakian, B. J. (2020). The use of commercial computerised cognitive games in older adults: A meta-analysis. Scientific Reports, 10(1), Article 1. https://doi.org/10.1038/s41598-020-72281-3

Cao, Y., Huang, T., Huang, J., Xie, X., & Wang, Y. (2020). Effects and moderators of computer-based training on children’s executive functions: A systematic review and meta-analysis. Frontiers in Psychology, 11, 580329. https://doi.org/10.3389/fpsyg.2020.580329

Article  PubMed Central  Google Scholar 

Chen, S., Yu, J., Zhang, Q., Zhang, J., Zhang, Y., & Wang, J. (2021). Which factor is more relevant to the effectiveness of the cognitive intervention? A meta-analysis of randomized controlled trials of cognitive training on symptoms and executive function behaviors of children with attention deficit hyperactivity disorder. Frontiers in Psychology, 12, 810298. https://doi.org/10.3389/fpsyg.2021.810298

Article  Google Scholar 

Cheung, M.W.-L. (2019). A guide to conducting a meta-analysis with non-independent effect sizes. Neuropsychology Review, 29(4), 387–396. https://doi.org/10.1007/s11065-019-09415-6

Article  PubMed Central  Google Scholar 

Claesen, A., Gomes, S., Tuerlinckx, F., & Vanpaemel, W. (2021). Comparing dream to reality: An assessment of adherence of the first generation of preregistered studies. Royal Society Open Science, 8(10), 211037. https://doi.org/10.1098/rsos.211037

Article  PubMed Central  Google Scholar 

Clare, L., & Woods, R. T. (2004). Cognitive training and cognitive rehabilitation for people with early-stage Alzheimer’s disease: A review. Neuropsychological Rehabilitation, 14(4), 385–401. https://doi.org/10.1080/09602010443000074

Article  Google Scholar 

Cortese, S., Ferrin, M., Brandeis, D., Buitelaar, J., Daley, D., Dittmann, R. W., Holtmann, M., Santosh, P., Stevenson, J., Stringaris, A., Zuddas, A., & Sonuga-Barke, E. J. (2015). Cognitive training for attention-deficit/hyperactivity disorder: Meta-analysis of clinical and neuropsychological outcomes from randomized controlled trials. Journal of the American Academy of Child & Adolescent Psychiatry, 54(3), 164–174. https://doi.org/10.1016/j.jaac.2014.12.010

Article  Google Scholar 

Corti, C., Oldrati, V., Oprandi, M. C., Ferrari, E., Poggi, G., Borgatti, R., Urgesi, C., & Bardoni, A. (2019). Remote technology-based training programs for children with acquired brain injury: A systematic review and a meta-analytic exploration. Behavioural Neurology, 2019, 1346987. https://doi.org/10.1155/2019/1346987

Article  PubMed Central  Google Scholar 

Cristea, I. A., Gentili, C., Pietrini, P., & Cuijpers, P. (2017). Sponsorship bias in the comparative efficacy of psychotherapy and pharmacotherapy for adult depression: Meta-analysis. The British Journal of Psychiatry, 210(1), 16–23. https://doi.org/10.1192/bjp.bp.115.179275

Article  Google Scholar 

Dardiotis, E., Nousia, A., Siokas, V., Tsouris, Z., Andravizou, A., Mentis, A. A., Florou, D., Messinis, L., & Nasios, G. (2018). Efficacy of computer-based cognitive training in neuropsychological performance of patients with multiple sclerosis: A systematic review and meta-analysis. Multiple Sclerosis and Related Disorders, 20, 58–66. https://doi.org/10.1016/j.msard.2017.12.017

Article  Google Scholar 

das Nair, R., Cogger, H., Worthington, E., & Lincoln, N. B. (2016). Cognitive rehabilitation for memory deficits after stroke. Cochrane Database of Systematic Reviews, 9. https://doi.org/10.1002/14651858.CD002293.pub3

Ebrahim, S., Bance, S., Athale, A., Malachowski, C., & Ioannidis, J. P. A. (2016). Meta-analyses with industry involvement are massively published and report no caveats for antidepressants. Journal of Clinical Epidemiology, 70, 155–163. https://doi.org/10.1016/j.jclinepi.2015.08.021

Article  Google Scholar 

Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. https://doi.org/10.1136/bmj.315.7109.629

Epskamp, S. (2019). Reproducibility and replicability in a fast-paced methodological world. Advances in Methods and Practices in Psychological Science, 2(2), 145–155. https://doi.org/10.1177/2515245919847421

Article  Google Scholar 

Ferrell, S., Demla, S., Anderson, J. M., Weaver, M., Torgerson, T., Hartwell, M., & Vassar, M. (2022). Association between industry sponsorship and author conflicts of interest with outcomes of systematic reviews and meta-analyses of interventions for opioid use disorder. Journal of Substance Abuse Treatment, 132, 108598. https://doi.org/10.1016/j.jsat.2021.108598

Article  CAS  Google Scholar 

Gates, N. J., Rutjes, A. W., Nisio, M. D., Karim, S., Chong, L.-Y., March, E., Martínez, G., & Vernooij, R. W. (2020). Computerised cognitive training for 12 or more weeks for maintaining cognitive function in cognitively healthy people in late life. Cochrane Database of Systematic Reviews, 2. https://doi.org/10.1002/14651858.CD012277.pub3

Gavelin, H. M., Lampit, A., Hallock, H., Sabatés, J., & Bahar-Fuchs, A. (2020). Cognition-oriented treatments for older adults: A systematic overview of systematic reviews. Neuropsychology Review, 30(2), 167–193. https://doi.org/10.1007/s11065-020-09434-8

Article  PubMed Central  Google Scholar 

Giustiniani, A., Maistrello, L., Danesin, L., Rigon, E., & Burgio, F. (2022). Effects of cognitive rehabilitation in Parkinson disease: A meta-analysis. Neurological Sciences, 43(4), 2323–2337. https://doi.org/10.1007/s10072-021-05772-4

Article  Google Scholar 

Gobet, F., & Sala, G. (2022). Cognitive training: A field in search of a phenomenon. Perspectives on Psychological Science, 18(1), 125–141. https://doi.org/10.1177/17456916221091830

Goldberg, Z., Kuslak, B., & Kurtz, M. M. (2023). A meta-analytic investigation of cognitive remediation for mood disorders: Efficacy and the role of study quality, sample and treatment factors. Journal of Affective Disorders, 330, 74–82. https://doi.org/10.1016/j.jad.2023.02.137

Article  Google Scholar 

Gucciardi, D. F., Lines, R. L. J., & Ntoumanis, N. (2022). Handling effect size dependency in meta-analysis. International Review of Sport and Exercise Psychology, 15(1), 152–178. https://doi.org/10.1080/1750984X.2021.1946835

Article  Google Scholar 

Ha, J.-Y., & Park, H.-J. (2023). Effects of mobile-based cognitive interventions for the cognitive function in the community-dwelling older adults: A systematic review and meta-analysis. Archives of Gerontology and Geriatrics, 104, 104829. https://doi.org/10.1016/j.archger.2022.104829

Article  Google Scholar 

Hallock, H., Collins, D., Lampit, A., Deol, K., Fleming, J., & Valenzuela, M. (2016). Cognitive training for post-acute traumatic brain injury: A systematic review and meta-analysis. Frontiers in Human Neuroscience, 10, 537. https://doi.org/10.3389/fnhum.2016.00537

Article  PubMed Central  Google Scholar 

Hardwicke, T. E., & Wagenmakers, E.-J. (2021). Reducing bias, increasing transparency, and calibrating confidence with preregistration. Nature Human Behaviour, 7(1), 15–26. https://doi.org/10.1038/s41562-022-01497-2

Hardwicke, T. E., Wallach, J. D., Kidwell, M. C., Bendixen, T., Crüwell, S., & Ioannidis, J. P. A. (2020). An empirical assessment of transparency and reproducibility-related research practices in the social sciences (2014–2017). Royal Society Open Science, 7(2), 190806. https://doi.org/10.1098/rsos.190806

Article  PubMed Central  Google Scholar 

Harrer, M., Cuijpers, P., A, F. T., & Ebert, D. D. (2021). Doing meta-analysis with R: A hands-on guide (1.a ed.). Chapman & Hall/CRC Press.

Harvey, P. D., McGurk, S. R., Mahncke, H., & Wykes, T. (2018). Controversies in computerized cognitive training. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(11), 907–915. https://doi.org/10.1016/j.bpsc.2018.06.008

Article  Google Scholar 

He, F., Huang, H., Ye, L., Wen, X., & Cheng, A. S. K. (2022). Meta-analysis of neurocognitive rehabilitation for cognitive dysfunction among pediatric cancer survivors. Journal of Cancer Research and Therapeutics, 18(7), 2058. https://doi.org/10.4103/jcrt.jcrt_1429_22

Article  Google Scholar 

Hedges, L. V., Tipton, E., & Johnson, M. C. (2010). Robust variance estimation in meta-regression with dependent effect size estimates. Research Synthesis Methods, 1(1), 39–65. https://doi.org/10.1002/jrsm.5

Article  Google Scholar 

Hill, N. T., Mowszowski, L., Naismith, S. L., Chadwick, V. L., Valenzuela, M., & Lampit, A. (2017). Computerized cognitive training in older adults with mild cognitive impairment or dementia: A systematic review and meta-analysis. American Journal of Psychiatry, 174(4), 329–340. https://doi.org/10.1176/appi.ajp.2016.16030360

Article  Google Scholar 

Hou, J., Jiang, T., Fu, J., Su, B., Wu, H., Sun, R., & Zhang, T. (2020). The long-term efficacy of working memory training in healthy older adults: A systematic review and meta-analysis of 22 randomized controlled trials. The Journals of Gerontology: Series B, 75(8), e174–e188. https://doi.org/10.1093/geronb/gbaa077

Article  Google Scholar 

Huntley, J. D., Gould, R. L., Liu, K., Smith, M., & Howard, R. J. (2015). Do cognitive interventions improve general cognition in dementia? A Meta-Analysis and Meta-Regression. BMJ Open, 5(4), e005247. https://doi.org/10.1136/bmjopen-2014-005247

Article  CAS  Google Scholar 

Ioannidis, J. P. A. (2005). Why most published research findings are false. PLOS Medicine, 2(8), e124. https://doi.org/10.1371/journal.pmed.0020124

Article  PubMed Central  Google Scholar 

Ioannidis, J. (2016). The mass production of redundant, misleading, and conflicted systematic reviews and meta-analyses. The Milbank Quarterly, 94(3), 485–514. https://doi.org/10.1111/1468-0009.12210

Article  PubMed Central  Google Scholar 

Jones, W. E., Benge, J. F., & Scullin, M. K. (2021). Preserving prospective memory in daily life: A systematic review and meta-analysis of mnemonic strategy, cognitive training, external memory aid, and combination interventions. Neuropsychology, 35, 123–140. https://doi.org/10.1037/neu0000704

Article  Google Scholar 

Kambeitz-Ilankovic, L., Betz, L. T., Dominke, C., Haas, S. S., Subramaniam, K., Fisher, M., Vinogradov, S., Koutsouleris, N., & Kambeitz, J. (2019). Multi-outcome meta-analysis (MOMA) of cognitive remediation in schizophrenia: Revisiting the relevance of human coaching and elucidating interplay between multiple outcomes. Neuroscience & Biobehavioral Reviews, 107, 828–845. https://doi.org/10.1016/j.neubiorev.2019.09.031

Article  Google Scholar 

Karbach, J., & Verhaeghen, P. (2014). Making working memory work: A meta-analysis of executive-control and working memory training in older adults. Psychological Science, 25(11), 2027–2037. https://doi.org/10.1177/0956797614548725

Article  Google Scholar 

Karch, D., Albers, L., Renner, G., Lichtenauer, N., & von Kries, R. (2013). The efficacy of cognitive training programs in children and adolescents. Deutsches Ärzteblatt International, 110(39), 643–652. https://doi.org/10.3238/arztebl.2013.0643