The role of working memory in mental arithmetic.

orking memory — a critical brain function — has gained broad acceptance as a primary indicator of academic, professional and personal performance. And after nearly a decade of research evidence and clinical success, the concept of training working memory to increase focus and cognitive reasoning is being heralded as a major development in neuroscience. How a scientific discovery is changing the way we understand and overcome the limits of the brain

Working memory training

Educational neuroscience is an interdisciplinary research field that seeks to translate research findings on neural mechanisms of learning to educational practice and policy and to understand the effects of education on the brain. Neuroscience and education can interact directly, by virtue of considering the brain as a biological organ that needs to be in the optimal condition to learn (‘brain health’); or indirectly, as neuroscience shapes psychological theory and psychology influences education. In this article, we trace the origins of educational neuroscience, its main areas of research activity and the principal challenges it faces as a translational field. We consider how a pure psychology approach that ignores neuroscience is at risk of being misleading for educators. We address the major criticisms of the field comprising, respectively, a priori arguments against the relevance of neuroscience to education, reservations with the current practical operation of the field, and doubts about the viability of neuroscience methods for diagnosing disorders or predicting individual differences. We consider future prospects of the field and ethical issues it raises. Finally, we discuss the challenge of responding to the (welcome) desire of education policymakers to include neuroscience evidence in their policymaking, while ensuring recommendations do not exceed the limitations of current basic science.

/pdf/annual-research-review-educational-neuroscience-progress-and-5ayn2ob5x2.pdf

Annual Research Review: Educational neuroscience: progress and prospects.

by Charles Hume and Margaret J. Snowling, Oxford, Wiley-Blackwell, 2009, £27.99, £18.83 (Kindle), ISBN 978-0-631-20612-5 Given the international reputation and research history of the two authors o...

Developmental disorders of language, learning and cognition

Our understanding of learning difficulties largely comes from children with specific diagnoses or individuals selected from community/clinical samples according to strict inclusion criteria. Applying strict exclusionary criteria overemphasizes within group homogeneity and between group differences, and fails to capture comorbidity. Here, we identify cognitive profiles in a large heterogeneous sample of struggling learners, using unsupervised machine learning in the form of an artificial neural network. Children were referred to the Centre for Attention Learning and Memory (CALM) by health and education professionals, irrespective of diagnosis or comorbidity, for problems in attention, memory, language, or poor school progress (n = 530). Children completed a battery of cognitive and learning assessments, underwent a structural MRI scan, and their parents completed behavior questionnaires. Within the network we could identify four groups of children: (a) children with broad cognitive difficulties, and severe reading, spelling and maths problems; (b) children with age-typical cognitive abilities and learning profiles; (c) children with working memory problems; and (d) children with phonological difficulties. Despite their contrasting cognitive profiles, the learning profiles for the latter two groups did not differ: both were around 1 SD below age-expected levels on all learning measures. Importantly a child's cognitive profile was not predicted by diagnosis or referral reason. We also constructed whole-brain structural connectomes for children from these four groupings (n = 184), alongside an additional group of typically developing children (n = 36), and identified distinct patterns of brain organization for each group. This study represents a novel move toward identifying data-driven neurocognitive dimensions underlying learning-related difficulties in a representative sample of poor learners.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/desc.12747

Remapping the cognitive and neural profiles of children who struggle at school.

The extent to which deficits in working memory (WM) are characteristic of children with reading and mathematics difficulties was investigated in a large sample aged 5–15 years reported to have problems in attention, learning and memory. WM performance was highly correlated with reading and mathematics scores. Although deficits in individual tests of short-term memory (STM) and WM occurred in less than half of the children with detected learning difficulties, three-quarters of the children with low reading and mathematics scores obtained one or more WM scores in the deficit range. These findings are consistent with proposals that WM or the broader cognitive dimensions it taps impede school-based learning, and point to the importance of managing WM loads in the classroom.

How Common are WM Deficits in Children with Difficulties in Reading and Mathematics

A randomized controlled trial compared complex span and n-back training regimes to investigate the generality of training benefits across materials and paradigms. The memory items and training intensities were equated across programs, providing the first like-with-like comparison of transfer in these two widely used training paradigms. The stimuli in transfer tests of verbal and visuo-spatial n-back and complex span differed from the trained tasks, but were matched across the untrained paradigms. Participants were randomly assigned to one of three training groups: complex span training, n-back training, or no training. Pre- to- post training changes were observed for untrained n-back tasks following n-back training. Following complex span training there was equivocal evidence for improvements on a verbal complex span task, but no evidence for changes on an untrained visuo-spatial complex span activity. Relative to a no intervention group, the evidence supported no change on an untrained verbal complex span task following either n-back or complex span training. Equivocal evidence was found for improvements on visuo-spatial complex span and verbal and visuo-spatial n-back tasks following both training regimes. Evidence for selective transfer (comparing the two active training groups) was only found for an untrained visuo-spatial n-back task following n-back training. There was no evidence for cross-paradigm transfer. Thus transfer is constrained by working memory paradigm and the nature of individual processes executed within complex span tasks. However, within-paradigm transfer can occur when the change is limited to stimulus category, at least for n-back.

/pdf/are-working-memory-training-effects-paradigm-specific-29s5tols17.pdf

Are Working Memory Training Effects Paradigm-Specific?

A randomized controlled trial compared complex span and n-back training regimes to investigate the generality of training benefits across materials and paradigms. The memory items and training intensities were equated across programs, providing the first like-with-like comparison of transfer in these two widely-used training paradigms. The stimuli in transfer tests of verbal and visuo-spatial n-back and complex span differed from the trained tasks, but were matched across the untrained paradigms. Pre-to-post changes were observed for untrained n-back tasks following n-back training. Following complex span training there was equivocal evidence for improvements on a verbal complex span task, but no evidence for changes on an untrained visuo-spatial complex span activity. Relative to a no intervention group, the evidence supported no change on an untrained verbal complex span task following either n-back or complex span training. Equivocal evidence was found for improvements on visuo-spatial complex span and verbal and visuo-spatial n-back tasks following both training regimes. Evidence for selective transfer (comparing the two active training groups) was only found for an untrained visuo-spatial n-back task following n-back training. There was no evidence for cross-paradigm transfer. Thus transfer is constrained by working memory paradigm and the nature of individual processes executed within complex span tasks. However, within-paradigm transfer can occur when the change is limited to stimulus category, at least for n-back.

/pdf/are-working-memory-training-effects-paradigm-specific-4mxy0q3785.pdf

Are working memory training effects paradigm-specific?

OBJECTIVES
To identify the risks of developing post-traumatic stress disorder (PTSD) and/or depression in parents following their child's PICU admission using a brief screening instrument and to examine the associations with these risks.


DESIGN
A cross-sectional parental survey.


SETTING
A general 13-bed PICU at a large teaching hospital.


SUBJECTS
One hundred and seven parents of 75 children admitted to the PICU.


INTERVENTIONS
None.


MEASUREMENTS AND MAIN RESULTS
All parents completed the 10-item Posttraumatic Adjustment Screen (PAS) before discharge. The PAS assesses risk factors known to be associated with poorer psychological outcome, including psychosocial variables pretrauma and peritrauma, and acute stress. Parents' scores on the PAS indicated that 64 (60%) were at risk of developing PTSD and 80 (75%) were at risk of developing depression following their child's admission. Univariate analyses suggested that psychosocial variables, such as preexisting stressors and a history of previous mental health problems, were more strongly associated with PAS risk scores for PTSD and depression than medical or sociodemographic factors. In logistic regression analyses, a history of previous mental health problems was significantly associated with risk of developing PTSD and depression (p < 0.001) explaining 28% and 43% of the variance in these outcomes.


CONCLUSIONS
This study suggests that a significant number of parents on PICU are potentially at risk of developing PTSD and/or depression postdischarge and that psychosocial factors, pretrauma and peritrauma, are stronger determinants of this risk, and of acute distress, than other variables. Identification of vulnerable parents during admission, using a measure such as the PAS, could facilitate the targeting of support and monitoring, acutely and postdischarge, at those who might be most likely to benefit.

Francesca Woolgar

Papers

How Common are WM Deficits in Children with Difficulties in Reading and Mathematics

Are Working Memory Training Effects Paradigm-Specific?

Are working memory training effects paradigm-specific?

Screening for Factors Influencing Parental Psychological Vulnerability During a Child's PICU Admission.