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Abstract Attempts to determine the cognitive benefits of adaptive working memory training in healthy adults has resulted in a polarized and stagnating field. Heterogeneous approaches and problematic methodological choices have contributed to the controversy. Structural neuroimaging has the potential to identify biological changes present after working memory training, which could go undetected by cognitive outcome tasks. In this study, 24 healthy community dwelling adults aged 18 – 40 years underwent structural magnetic resonance neuroimaging (MRI) before and after completing a 6-week n-back working memory training program. An active control group (n = 24) completed 6-weeks of processing speed training using the same computerized platform and neuroimaging protocol. Cortical surface area, thickness, and volume measurements were collected in a-priori regions of interest in the frontal and parietal lobes. Subcortical and total gray matter volumes were also measured. Group by time repeated measures Analyses of Variance (RM-ANOVAs) were conducted to identify changes in surface area, thickness, or volume measurements associated with training type over time. Null results were present across all neuroanatomical metrics after correction for multiple comparisons. Findings of this study, in concert with recently published investigations, support the idea that adaptive n-back working memory training is not an effective method for inducing neuroanatomical change. Further investigation into other forms of training may help advance the field. [ABSTRACT FROM AUTHOR]

While behavioural trials of working memory (WM) training have received much attention in recent years, a lesser explored parallel approach is functional neuroimaging. A small literature has suggested a complex time course for functional activation pattern changes following WM training (i.e. not simply increasing or decreasing due to training); however, no study to date has examined such neuroplastic effects in both the training task (dual n-back) and the fluid intelligence transfer task to which the training is purported to transfer (Raven’s Matrices). This study investigated neural correlates of WM training in healthy young adults randomized to six weeks of WM training, or an active control condition (processing speed training) with a pre- and post-training fMRI design. Results indicated significant reductions in activation for the WM trained group in key WM-task related areas for trained WM tasks after training compared to the processing speed active control group. The same pattern of training related decreases in activation for the WM trained group was not observed for the transfer task, which is consistent with null results for all cognitive outcomes of the present trial. The observed pattern of results suggests that repetitive practice with a complex task does indeed lead to neuroplastic processes that very likely represent the reduced demand for attentional control while sub-components of the task become more routinized with practice. We suggest that future research investigate neural correlates of WM training in populations for which WM itself is impaired and/or behavioural trials of WM training have returned more promising results [ABSTRACT FROM AUTHOR]

Training of working memory as a method of increasing working memory capacity and fluid intelligence has received much attention in recent years. This burgeoning field remains highly controversial with empirically-backed disagreements at all levels of evidence, including individual studies, systematic reviews, and even meta-analyses. The current study investigated the effect of a randomized six week online working memory intervention on untrained cognitive abilities in a community-recruited sample of healthy young adults, in relation to both a processing speed training active control condition, as well as a no-contact control condition. Results of traditional null hypothesis significance testing, as well as Bayesian factor analyses, revealed support for the null hypothesis across all cognitive tests administered before and after training. Importantly, all three groups were similar at pre-training for a variety of individual variables purported to moderate transfer of training to fluid intelligence, including personality traits, motivation to train, and expectations of cognitive improvement from training. Because these results are consistent with experimental trials of equal or greater methodological rigor, we suggest that future research re-focus on: 1) other promising interventions known to increase memory performance in healthy young adults, and; 2) examining sub-populations or alternative populations in which working memory training may be efficacious. [ABSTRACT FROM AUTHOR]

Enhancing cognitive ability is an attractive concept, particularly for middle-aged adults interested in maintaining cognitive functioning and preventing age-related declines. Computerized working memory training has been investigated as a safe method of cognitive enhancement in younger and older adults, although few studies have considered the potential impact of working memory training on middle-aged adults. This study investigated dual n-back working memory training in healthy adults aged 30–60. Fifty-seven adults completed measures of working memory, processing speed, and fluid intelligence before and after a 5-week web-based dual n-back or active control (processing speed) training program. Results: Repeated measures multivariate analysis of variance failed to identify improvements across the three cognitive composites, working memory, processing speed, and fluid intelligence, after training. Follow-up Bayesian analyses supported null findings for training effects for each individual composite. Findings suggest that dual n-back working memory training may not benefit working memory or fluid intelligence in healthy adults. Further investigation is necessary to clarify if other forms of working memory training may be beneficial, and what factors impact training-related benefits, should they occur, in this population. [ABSTRACT FROM AUTHOR]

Numerous studies demonstrate that working memory training benefits cognitive performance; however, such findings are controversial and the field is polarized. Despite a multitude of behavioural studies, investigation into the neurobiological mechanisms underlying working memory training remains limited. Diffusion tensor imaging (DTI) allows for the visualization of white matter structure and is a promising approach to identify neurobiological change associated with working memory training. In this study, 25 healthy community dwelling adults (age 18–40 years) underwent neuroimaging before and after completing a 6-week home- and web-based complex working memory training program. An active control group (n = 24) completed 6-weeks of processing speed training using the same computerized platform and imaging protocol. Voxel-wise statistical analysis of the DTI data was conducted with FSL's Tract-Based Spatial Statistics (TBSS) to assess change in several metrics over the course of the intervention. Additionally, averaged whole-brain values (i.e., throughout all cerebral white matter) for each DTI metric were examined via one-way analysis of covariance (ANCOVA). The participants' scores on the training tasks significantly improved post-training. The training was not associated with improved scores on non-trained cognitive measures. The working memory training also did not alter regional or global white matter microstructure, as measured by fractional anisotrophy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Consistent with our previous published findings on brain activity and grey matter structure in the same study sample, the present study does not suggest that home- and web-based complex working memory training alters white matter microstructure. • Impact of working memory training on white matter microstructure assessed using DTI. • No significant effects of dual n-back training on white matter in healthy adults. • Dual n-back training did not significantly improve cognitive task performance. • Working memory training might not produce behavioural or neurobiological changes. [ABSTRACT FROM AUTHOR]