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Dive into the research topics where Jacky Au is active.

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Featured researches published by Jacky Au.


Psychonomic Bulletin & Review | 2016

There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lervåg and Hulme (2015)

Jacky Au; Martin Buschkuehl; Greg J. Duncan; Susanne M. Jaeggi

Our recent meta-analysis concluded that training on working memory can improve performance on tests of fluid intelligence (Au et al., Psychon Bull Rev, 22(2), 366-377, 2015). Melby-Lervåg and Hulme (Psychon Bull Rev, doi: 10.3758/s13423-015-0862-z) challenge this conclusion on the grounds that it did not take into consideration baseline differences on a by-study level and that the effects were primarily driven by purportedly less rigorous studies that did not include active control groups. Their re-analysis shows that accounting for baseline differences produces a statistically significant, but considerably smaller, overall effect size (g = 0.13 vs g = 0.24 in Au et al.), which loses significance after excluding studies without active controls. The present report demonstrates that evidence of impact variation by the active/passive nature of control groups is ambiguous and also reveals important discrepancies between Melby-Lervåg and Hulme’s analysis and our original meta-analysis in terms of the coding and organization of data that account for the discrepant effect sizes. We demonstrate that there is in fact no evidence that the type of control group per se moderates the effects of working memory training on measures of fluid intelligence and reaffirm the original conclusions in Au et al., which are robust to multiple methods of calculating effect size, including the one proposed by Melby-Lervåg and Hulme.


Journal of Cognitive Neuroscience | 2016

Enhancing working memory training with transcranial direct current stimulation

Jacky Au; Benjamin Katz; Martin Buschkuehl; Kimberly Bunarjo; Thea Senger; Chelsea Zabel; Susanne M. Jaeggi; John Jonides

Working memory (WM) is a fundamental cognitive ability that supports complex thought but is limited in capacity. Thus, WM training interventions have become very popular as a means of potentially improving WM-related skills. Another promising intervention that has gained increasing traction in recent years is transcranial direct current stimulation (tDCS), a noninvasive form of brain stimulation that can modulate cortical excitability and temporarily increase brain plasticity. As such, it has the potential to boost learning and enhance performance on cognitive tasks. This study assessed the efficacy of tDCS to supplement WM training. Sixty-two participants were randomized to receive either right prefrontal, left prefrontal, or sham stimulation with concurrent visuospatial WM training over the course of seven training sessions. Results showed that tDCS enhanced training performance, which was strikingly preserved several months after training completion. Furthermore, we observed stronger effects when tDCS was spaced over a weekend break relative to consecutive daily training, and we also demonstrated selective transfer in the right prefrontal group to nontrained tasks of visual and spatial WM. These findings shed light on how tDCS may be leveraged as a tool to enhance performance on WM-intensive learning tasks.


Journal of Cognitive Neuroscience | 2017

Individual Differences and Long-term Consequences of tDCS-augmented Cognitive Training

Benjamin Katz; Jacky Au; Martin Buschkuehl; Tessa Abagis; Chelsea Zabel; Susanne M. Jaeggi; John Jonides

A great deal of interest surrounds the use of transcranial direct current stimulation (tDCS) to augment cognitive training. However, effects are inconsistent across studies, and meta-analytic evidence is mixed, especially for healthy, young adults. One major source of this inconsistency is individual differences among the participants, but these differences are rarely examined in the context of combined training/stimulation studies. In addition, it is unclear how long the effects of stimulation last, even in successful interventions. Some studies make use of follow-up assessments, but very few have measured performance more than a few months after an intervention. Here, we utilized data from a previous study of tDCS and cognitive training [Au, J., Katz, B., Buschkuehl, M., Bunarjo, K., Senger, T., Zabel, C., et al. Enhancing working memory training with transcranial direct current stimulation. Journal of Cognitive Neuroscience, 28, 1419–1432, 2016] in which participants trained on a working memory task over 7 days while receiving active or sham tDCS. A new, longer-term follow-up to assess later performance was conducted, and additional participants were added so that the sham condition was better powered. We assessed baseline cognitive ability, gender, training site, and motivation level and found significant interactions between both baseline ability and motivation with condition (active or sham) in models predicting training gain. In addition, the improvements in the active condition versus sham condition appear to be stable even as long as a year after the original intervention.


Clinical Neurophysiology | 2018

Cerebellar transcranial direct current stimulation improves adaptive postural control

Peter C. Poortvliet; Billie Hsieh; Andrew G. Cresswell; Jacky Au; Marcus Meinzer

OBJECTIVE Rehabilitation interventions contribute to recovery of impaired postural control, but it remains a priority to optimize their effectiveness. A promising strategy may involve transcranial direct current stimulation (tDCS) of brain areas involved in fine-tuning of motor adaptation. This study explored the effects of cerebellar tDCS (ctDCS) on postural recovery from disturbance by Achilles tendon vibration. METHODS Twenty-eight healthy volunteers participated in this sham-ctDCS controlled study. Standing blindfolded on a force platform, four trials were completed: 60 s quiet standing followed by 20 min active (anodal-tDCS, 1 mA, 20 min, N = 14) or sham-ctDCS (40 s, N = 14) tDCS; three quiet standing trials with 15 s of Achilles tendon vibration and 25 s of postural recovery. Postural steadiness was quantified as displacement, standard deviation and path derived from the center of pressure (COP). RESULTS Baseline demographics and quiet standing postural steadiness, and backwards displacement during vibration were comparable between groups. However, active-tDCS significantly improved postural steadiness during vibration and reduced forward displacement and variability in COP derivatives during recovery. CONCLUSIONS We demonstrate that ctDCS results in short-term improvement of postural adaptation in healthy individuals. SIGNIFICANCE Future studies need to investigate if multisession ctDCS combined with training or rehabilitation interventions can induce prolonged improvement of postural balance.


Acta Psychologica | 2018

Effects of non-symbolic arithmetic training on symbolic arithmetic and the approximate number system

Jacky Au; Susanne M. Jaeggi; Martin Buschkuehl

The approximate number system (ANS) is an innate cognitive template that allows for the mental representation of approximate magnitude, and has been controversially linked to symbolic number knowledge and math ability. A series of recent studies found that an approximate arithmetic training (AAT) task that draws upon the ANS can improve math skills, which not only supports the existence of this link, but suggests it may be causal. However, no direct transfer effects to any measure of the ANS have yet been reported, calling into question the mechanisms by which math improvements may emerge. The present study investigated the effects of a 7-day AAT and successfully replicated previously reported transfer effects to math. Furthermore, our exploratory analyses provide preliminary evidence that certain ANS-related skills may also be susceptible to training. We conclude that AAT has reproducible effects on math performance, and provide avenues for future studies to further explore underlying mechanisms - specifically, the link between improvements in math and improvements in ANS skills.


AERA Open | 2018

Is Inquiry Science Instruction Effective for English Language Learners? A Meta-Analytic Review:

Gabriel Estrella; Jacky Au; Susanne M. Jaeggi; Penelope Collins

Despite being among the fastest growing segments of the student population, English Language Learners (ELLs) have yet to attain the same academic success as their English-proficient peers, particularly in science. In an effort to support the pedagogical needs of this group, educators have been urged to adopt inquiry approaches to science instruction. Whereas inquiry instruction has been shown to improve science outcomes for non-ELLs, systematic evidence in support of its effectiveness with ELLs has yet to be established. The current meta-analysis summarizes the effect of inquiry instruction on the science achievement of ELLs in elementary school. Although an analysis of 26 articles confirmed that inquiry instruction produced significantly greater impacts on measures of science achievement for ELLs compared to direct instruction, there was still a differential learning effect suggesting greater efficacy for non-ELLs compared to ELLs. Contextual factors that moderate these effects are identified and discussed.


Psychonomic Bulletin & Review | 2015

Improving fluid intelligence with training on working memory: a meta-analysis

Jacky Au; Ellen Sheehan; Nancy Tsai; Greg J. Duncan; Martin Buschkuehl; Susanne M. Jaeggi


Journal of Cognitive Enhancement | 2017

Optimizing Transcranial Direct Current Stimulation Protocols to Promote Long-Term Learning

Jacky Au; Carley A. Karsten; Martin Buschkuehl; Susanne M. Jaeggi


Journal of Cognitive Enhancement | 2017

The Benefits and Challenges of Implementing Motivational Features to Boost Cognitive Training Outcome

Shafee Mohammed; Lauren Flores; Jenni Deveau; Russell Cohen Hoffing; Calvin Phung; Chelsea Parlett; Ellen Sheehan; David Lee; Jacky Au; Martin Buschkuehl; Victor B. Zordan; Susanne M. Jaeggi; Aaron R. Seitz


Brain Stimulation | 2017

Individual Differences in tDCS Augmented Working Memory Training

Benjamin Katz; Jacky Au; Martin Buschkuehl; Tessa Abagis; Chelsea Zabel; Susanne M. Jaeggi; John Jonides

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Ellen Sheehan

University of California

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Greg J. Duncan

University of California

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Nancy Tsai

University of California

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