Literature DB >> 26243843

Association between Abacus Training and Improvement in Response Inhibition: A Case-control Study.

Kyoung-Sae Na1, Soyoung Irene Lee2, Jun-Ho Park3, Han-Yong Jung2, Jung-Hee Ryu4.   

Abstract

OBJECTIVE: The abacus, first used in Asian countries more than 800 years ago, enables efficient arithmetic calculation via visuospatial configuration. We investigated whether abacus-trained children performed better on cognitive tasks and demonstrated higher levels of arithmetic abilities compared to those without such training.
METHODS: We recruited 75 elementary school children (43 abacus-trained and 32 not so trained). Attention, memory, and arithmetic abilities were measured, and we compared the abacus with the control group.
RESULTS: Children who had learned to use an abacus committed fewer commission errors and showed better arithmetic ability than did controls. We found no significant differences between children with and without abacus training in other areas of attention.
CONCLUSION: We speculate that abacus training improves response inhibition via neuroanatomical alterations of the areas that regulate such functions. Further studies are needed to confirm the association between abacus training and better response inhibition.

Entities:  

Keywords:  Attention; Child; Cognitive science; Inhibition; Mathematics

Year:  2015        PMID: 26243843      PMCID: PMC4540045          DOI: 10.9758/cpn.2015.13.2.163

Source DB:  PubMed          Journal:  Clin Psychopharmacol Neurosci        ISSN: 1738-1088            Impact factor:   2.582


INTRODUCTION

The abacus is a unique traditional arithmetic tool that has been used in Asian countries such as Korea, Japan, China, and India since 1200 AD.1,2) Arithmetic calculations are performed by altering the configurations of beads that represent numbers (Fig. 1). Several studies have reported improvements in the arithmetic ability of subjects trained to use an abacus. For instance, Hatano and Osawa3) reported that elementary school children trained to use an abacus performed significantly better on tests of calculation speed and accuracy compared with those who were not so trained. Most studies of arithmetic ability have measured the ability to perform simple calculations, such as addition and subtraction, among subjects not trained to use an abacus, whereas trained abacus users can perform complicated arithmetic calculations, including multiplication and division.4)
Fig. 1

Introduction to the abacus, and the calculation procedure. (A) The number one (1) as represented on an abacus. The abacus calculator employs the decimal system from right to left; each positional number is shown by the location of a bead. Each bead in the upper deck has a value of five, and each bead in the lower deck a value of one. When counted, beads are moved toward the horizontal bar that separates the two decks. (B, C) The procedure for calculating 56+19 on the abacus. Here, 56+19 is changed to 56+(20−1) to simplify the calculation. The calculation requires pushing two beads in the lower deck of the second row upward (+20) and one bead in the lower deck of the first row downward (−1).

In terms of other cognitive functions, previous studies have focused primarily on memory2,5,6) and general intelligence7); other cognitive domains, such as attention, have not been evaluated in children and adolescents trained to use an abacus. Because attention may serve as the neurocognitive basis for better memory and intelligence, this may be another important cognitive domain influenced by abacus training. It has been established that attention is crucial in terms of academic achievement.8) Attention deficit/hyperactivity disorder (ADHD), for example, is one of the most common neuro-psychiatric disorders in childhood, with an estimated prevalence of 5.3–9.5%.9,10) Previous studies have indicated that attentional problems in such children are associated with poor academic achievement in areas such as reading, writing, and calculation,11,12) suggesting the existence of a common neurocognitive substrate for these cognitive domains. Despite the substantial impact of attention on academic achievement and children’s school adjustment, pharmacological treatment has been reserved for those ADHD children with severe and uncontrolled symptoms.13) Thus, children with moderate or mild attentional or hyperactive-impulsive symptoms, and impaired academic performance, may not receive pharmacotherapy, and may be left entirely untreated. Hence, it is important to develop and encourage alternative modalities that may be helpful for improving attention in children and adolescents. This study aimed to investigate attention as well as comprehensive arithmetic abilities and memory in children who were trained to use an abacus. To the best of our knowledge, this is the first study to examine the possible role of abacus training in comprehensive cognitive functions.

METHODS

Subjects

The sample, which was recruited via local advertising, consisted of elementary school students without psychiatric disorders, including mood, anxiety, psychotic, substance abuse, developmental, or behavioral disorders, as assessed using the Korean version of the Kiddie Schedule for Affective Disorders and the Schizophrenia-Present and Lifetime Version (K-SADS-PL),14) and the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV). All children had intelligence quotients (IQs) above 80. All diagnostic procedures were conducted by experienced psychologists and supervised by board-certified child and adolescent psychiatrists. All abacus-trained children were above the seventh level of abacus use, as certified by the International Abacus and Arithmetic Association. Individuals who are certified above the seventh level can perform multiplication as well as addition and subtraction. Control subjects had no experience with an abacus. The study protocol was fully explained to the children and their legal guardians (parents or caregivers). All participants and guardians provided informed consent. The Institutional Review Board of the Soonchunhyang University Bucheon Hospital approved this study (SCHBC-IRB-10-07), which was conducted in a manner adherent to the Declaration of Helsinki as revised in 1989.

Instruments

Arithmetic abilities: Korea Institute for Special Education- Basic Academic Achievement Tests: Math (KISE-BAAT: Math)

The KISE-BAAT: Math instrument is widely used to assess the mathematical ability of children in Korea.15) The KISE-BAAT: Math addresses abilities related to numbers, figures, calculations, measurement, probability and statistics, and problem-solving. Scores on the six subtests are standardized to a mean (standard deviation, SD) of 50 (15). Higher scores represent better arithmetic abilities.

Attention: Comprehensive Attention Test (CAT)

The CAT measures visual selective attention, auditory selective attention, sustained attentional response, inference selective attention, and spatial working memory. The scores are standardized based on normative data from 912 children and adolescents in Korea.16) Four measures (omission errors, commission errors, mean reaction times, and response-time variability) are estimated for the six subtests. The results are presented as attention quotients (AQs) based on age- and sex-matched normative data. The mean (SD) of the AQ is 100 (15). AQ scores below 76 (representing 1.6 SD from the mean) are regarded as reflecting low attention, scores between 76 and 85 (representing 1.0–1.6 SD from the mean) borderline attention, and scores above 85 (within 1.0 SD) normal attention.

Visuospatial working memory: Finger Windows Test

The Finger Windows Test is a subtest of the Wide Range Assessment of Memory and Learning 2 (WRAML-2).17,18) In the forward version, participants are required to reproduce the sequence, whereas they are required to reproduce the sequence in reverse order in the backward version. The number of sequences was increased by one every trial. One point was given for each correctly recalled sequence, and each trial was discontinued after three consecutive errors.

Verbal and auditory working memory: Digit Span task

The Digit Span task, perhaps the most widely used instrument for assessing verbal and auditory working memory, was adapted from the Korean Wechsler Intelligence Scale for Children, third edition (K-WISC-III).19,20)

Statistical Analysis

Demographic data were compared using independent t-tests for continuous variables and chi-squared tests for dichotomous variables; we compared children with and without a history of abacus training. Cognitive functions, including arithmetic abilities, attention, and memory, were analyzed by analysis of covariance (ANCOVA), adjusted for grade. A two-tailed p-value < 0.05 was considered statistically significant. All statistical analyses were performed with the aid of the Statistical Package for Social Sciences, version 16.0 (SPSS Inc., Chicago, IL, USA).

RESULTS

Seventy-five elementary school students were recruited for participation in this study. Of these, 43 were trained to use an abacus, and 32 were not. Detailed data on participants’ demographic characteristics are presented in Table 1. We found no significant differences with regard to age, gender, or grade between the two groups.
Table 1

Comparison of cognitive functions between abacus-trained children and controls

VariableAbacus (n=44)Controls (n=32)
Age (yr)9.28 (1.28)9.09 (1.38)
Sex (female)2414
Grade3.67 (1.17)3.50 (1.37)
KISE-BAAT: Math
 Number*13.98 (1.92)12.93 (2.42)
  Whole number20.90 (2.12)21.50 (3.09)
  Fractional number and prime number7.90 (3.48)6.53 (4.02)
  Proportion and percentage1.90 (2.12)1.93 (1.89)
 Figure12.98 (2.22)12.50 (2.56)
 Calculation*13.54 (2.84)12.10 (3.19)
  Addition*14.56 (2.50)13.23 (3.27)
  Subtraction*13.73 (2.79)12.30 (3.91)
  Multiplication*13.29 (3.57)11.30 (5.34)
  Division11.61 (4.02)9.30 (5.13)
  Mental arithmetic12.15 (3.10)8.87 (4.35)
 Measurement13.34 (2.07)12.87 (2.19)
  Measurement16.24 (4.02)14.70 (4.33)
  Time and currency14.29 (2.29)13.87 (3.42)
  Estimation9.59 (3.56)8.67 (3.98)
 Probability and statistics14.17 (2.39)13.90 (2.17)
 Problem solving13.98 (2.52)12.93 (2.86)
CAT
 Commission error
  Visual selective attention102.28 (15.33)98.78 (14.05)
  Auditory selective attention108.44 (7.82)109.63 (5.68)
  Sustained attention response*103.09 (15.10)95.30 (17.55)
  Inference selective attention*100.58 (13.90)93.16 (17.26)
FWT
 Forward16.52 (2.34)15.63 (3.49)
 Backward12.88 (4.24)13.41 (3.58)
Digit span task
 Forward10.83 (2.76)11.33 (3.04)
 Backward7.10 (2.42)6.70 (2.87)

All data are presented as mean (standard deviation).

KISE-BAAT: Math, Korea Institute for Special Education-Basic Academic Achievement Tests: Math; CAT, Comprehensive Attention Test; FWT, Finger Windows Test.

p<0.05,

p<0.01,

p<0.001.

Neurocognitive Functions

In terms of arithmetic abilities, children trained to use an abacus performed significantly better in the number and calculation subtests (Table 1). We found no significant differences between the two groups with respect to figures, measurement, probability and statistics, or problem-solving. In terms of attentional testing, abacus-trained children committed fewer commission errors in tasks requiring sustained attention inhibition and selective inference attention. No significant differences between children with and without abacus training were found in other areas of attention. Additionally, children with and without abacus training performed similarly in tasks assessing auditory and visuospatial memory.

DISCUSSION

This study was designed to determine whether children trained to use an abacus differed from controls in terms of cognitive functioning. As expected, given that the essential purpose of the abacus is to increase calculating ability, children trained to use an abacus performed better in arithmetic tasks than did controls. Additionally, abacus-trained children committed fewer commission errors, suggesting that they exhibited better response inhibition. Children who learn and use an abacus may subsequently use a “mental abacus” (i.e., they may imagine manipulating an abacus through visual representation, mainly in the parietal lobe). Response inhibition is regulated primarily in the orbito-frontal and dorsolateral prefrontal cortices, which have various neural network connections with the temporal and parietal lobes.21–23) The right inferior frontal gyrus, which has been consistently associated with abacus training, is the main brain structure involved in response inhibition.22) Several studies have suggested that the brain areas involved in abacus training and use are closely associated with the inferior and posterior superior parietal cortices.24,25) Additionally, abacus experts exhibit distinct neural correlates in the fronto-temporal and fronto-parietal lobes.26) A recent neuroimaging study reported that the inferior parietal and right prefrontal cortices were activated during response inhibition.27) Another study revealed that posterior and inferior parietal lobe activity was positively correlated with response inhibition in adolescents with a restrictive type of eating disorder.28) The possible neural mechanisms by which abacus training improves neurocognitive functions, including response inhibition, may feature neurogenesis and synaptic plasticity. Some evidence suggests that mental training, such as abacus training, can change brain structures and induce neuroplasticity.29) Repeated practice and learning may trigger various neuroanatomical changes, such as neurogenesis, gliogenesis, and synaptic plasticity,30–32) which, in turn, enhance neurocognitive functioning. Hence, we speculate that repetitive and sustained abacus training leads to neuronal changes in the frontal and parietal lobes, which, in turn, improve arithmetic ability and response inhibition. Although our study did not replicate this finding, several previous studies reported that working memory was significantly better in abacus-trained children compared with controls.2,3,33) For example, Irwing et al.7) reported that children trained to use an abacus scored approximately 7 points higher on IQ tests than did controls, and abacus-trained children performed better in visual and auditory working memory tasks,2) and had better visuo-spatial working memory, compared with controls.6) Although we cannot fully explain these among-study differences, the age, duration of training, and skill level of abacus-trained children may have contributed to the observed discrepancies. Our study has several limitations. First, because this study employed a case-control, cross-sectional design, we could not demonstrate possible changes in cognitive function during the abacus-training process. Second, we included only healthy controls. Given that response inhibition may be improved by abacus training, clinical trials including patients, such as individuals with ADHD, are needed. Third, the neural substrate responsible for the differences in cognitive functioning between abacus- trained children and controls was not investigated. Fourth, the sample size was insufficient to completely prevent type I errors caused by multiple comparisons. Additionally, we could not set an a priori effect size and statistical power. Upon post hoc power analysis of the sustained attention response and inference selective attention, which yielded the principal findings in this study, the effect sizes were 0.48 and 0.47, respectively. The statistical powers for identification of sustained attentional responses and inference selective attention were 0.525 and 0.521, respectively. Finally, it is possible that selection bias affected our sample. Students who are good at mathematics may also have an interest in the abacus, which requires mathematical ability. In summary, we found that abacus training may improve attention and comprehensive arithmetic abilities in children. Our results may be applicable in clinical practice as well as in education. Although it is premature to directly apply our results to children with psychiatric diagnoses such as ADHD, non-pharmacological interventions, such as abacus training, may be an option for children with cognitive problems, as issues of safety versus efficacy are major concerns when pharmacological treatment for children is contemplated.34) Future comparative studies using large samples and prospective designs should be conducted to more precisely evaluate the possible role of abacus training in the neurocognitive functioning of children.
  25 in total

1.  Neural activation during response competition.

Authors:  E Hazeltine; R Poldrack; J D Gabrieli
Journal:  J Cogn Neurosci       Date:  2000       Impact factor: 3.225

2.  Superior digit memory of abacus experts: an event-related functional MRI study.

Authors:  Satoshi Tanaka; Chikashi Michimata; Tatsuro Kaminaga; Manabu Honda; Norihiro Sadato
Journal:  Neuroreport       Date:  2002-12-03       Impact factor: 1.837

3.  Neural correlates underlying mental calculation in abacus experts: a functional magnetic resonance imaging study.

Authors:  Takashi Hanakawa; Manabu Honda; Tomohisa Okada; Hidenao Fukuyama; Hiroshi Shibasaki
Journal:  Neuroimage       Date:  2003-06       Impact factor: 6.556

Review 4.  Inhibition and the right inferior frontal cortex.

Authors:  Adam R Aron; Trevor W Robbins; Russell A Poldrack
Journal:  Trends Cogn Sci       Date:  2004-04       Impact factor: 20.229

5.  Temporal and spatial dynamics of brain structure changes during extensive learning.

Authors:  Bogdan Draganski; Christian Gaser; Gerd Kempermann; H Georg Kuhn; Jürgen Winkler; Christian Büchel; Arne May
Journal:  J Neurosci       Date:  2006-06-07       Impact factor: 6.167

Review 6.  Neuropsychological aspects for evaluating learning disabilities.

Authors:  Margaret Semrud-Clikeman
Journal:  J Learn Disabil       Date:  2005 Nov-Dec

7.  Gray matter increase induced by practice correlates with task-specific activation: a combined functional and morphometric magnetic resonance imaging study.

Authors:  Rüdiger Ilg; Afra M Wohlschläger; Christian Gaser; Yasmin Liebau; Ruth Dauner; Andreas Wöller; Claus Zimmer; Josef Zihl; Mark Mühlau
Journal:  J Neurosci       Date:  2008-04-16       Impact factor: 6.167

8.  Aberrant brain activation during a response inhibition task in adolescent eating disorder subtypes.

Authors:  James Lock; Amy Garrett; Judy Beenhakker; Allan L Reiss
Journal:  Am J Psychiatry       Date:  2010-12-01       Impact factor: 18.112

9.  A systematic review of the safety information contained within the Summaries of Product Characteristics of medications licensed in the United Kingdom for Attention Deficit Hyperactivity Disorder. how does the safety prescribing advice compare with national guidance?

Authors:  Nicola Savill; Chris J Bushe
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2012-01-10       Impact factor: 3.033

10.  Sequential neural processes in abacus mental addition: an EEG and FMRI case study.

Authors:  Yixuan Ku; Bo Hong; Wenjing Zhou; Mark Bodner; Yong-Di Zhou
Journal:  PLoS One       Date:  2012-05-04       Impact factor: 3.240

View more
  2 in total

Review 1.  Neural Plasticity following Abacus Training in Humans: A Review and Future Directions.

Authors:  Yongxin Li; Feiyan Chen; Wenhua Huang
Journal:  Neural Plast       Date:  2016-01-04       Impact factor: 3.599

2.  Cognitive training using the abacus: a literature review study on the benefits for different age groups.

Authors:  Thais Bento Lima-Silva; Maurício Einstoss de Castro Barbosa; Mariana Garcia Zumkeller; Cássia Elisa Rosseto Verga; Patrícia Lessa Prata; Neide Pereira Cardoso; Luiz Carlos de Moraes; Sonia Maria Dozzi Brucki
Journal:  Dement Neuropsychol       Date:  2021 Apr-Jun
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.