Neural Processing Mechanism of Mental Calculation Based on Cerebral Oscillatory Changes: A Comparison Between Abacus Experts and Novices

Belkacem, Abdelkader Nasreddine; Kiso, Kanako; Uokawa, Etsuko; Goto, Tetsu; Yorifuji, Shiro; Hirata, Masayuki

doi:10.3389/fnhum.2020.00137

Cited by 8 publications

(3 citation statements)

References 53 publications

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“…Some studies on brain plasticity show that AMC can enhance the activated degree of some functional regions in the cortex and reorganize the cortex ( Hatta and Miyazaki, 1989 ; Hillyard and Anllo-Vento, 1998 ). In previous studies, changes in the function of the occipital lobe, parietal lobe, and circuits between these regions were mainly found ( Belkacem et al, 2020 ). We deduce that in brain plasticity, AMC training has a certain influence on the occipital cortex function of children, and this is consistent with previous studies.…”

Section: Discussionmentioning

confidence: 97%

Early Event-Related Potential During Figure and Object Perception of Abacus Mental Calculation Training Children: A Randomized Controlled Trial

Wang

Zhu

Cui

et al. 2022

Front. Behav. Neurosci.

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The aim of this study was to discuss the effect of abacus mental calculation (AMC) on the early processing of children’s perception on numbers and objects. We designed a randomized controlled trial, and a total of 28 subjects were randomly distributed into two groups of equal numbers, namely, one group that received AMC training (training group) and the other group that did not receive training (non-training group). The subjects were asked to determine the figures and objects shown on the computer screen and were recorded on the computer. The event-related potential (ERP) component (N1, N170, P1, and P2) of different brain areas between the two subject groups was compared. Compared with the non-training group, the training group’s P1 in the occipital region showed a larger amplitude and a longer potential period. For N1, the training group showed a longer potential period. Additionally, for N170, the training group showed a smaller amplitude. Finally, the observation of P2 showed a smaller amplitude in the training group and a longer potential period in the condition of object stimulus. Overall, the activated degree of the occipital region of children who received AMC training was enhanced, while the activated degree of the central region of the forehead and temporal occipital region was slightly down. Meanwhile, the potential periods of all components were extended. Therefore, long-term AMC training can change children’s cortical function activities.

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Section: Discussionmentioning

confidence: 97%

Early Event-Related Potential During Figure and Object Perception of Abacus Mental Calculation Training Children: A Randomized Controlled Trial

Wang

Zhu

Cui

et al. 2022

Front. Behav. Neurosci.

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“…For quick and accurate processing and analysis of brain data, researchers have developed many open source software packages and toolboxes such as BCI2000 1 , EEGLab 2 , FieldTrip 3 , and Brainstorm 4 . These software packages are based on advanced signal and image processing methods and artificial intelligence programs for performing sensor or source level analyses (Belkacem et al, 2015b(Belkacem et al, , 2020Dong et al, 2017).…”

Section: Brain Computer Interface Technologymentioning

confidence: 99%

Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients

et al. 2020

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All people experience aging, and the related physical and health changes, including changes in memory and brain function. These changes may become debilitating leading to an increase in dependence as people get older. Many external aids and tools have been developed to allow older adults and elderly patients to continue to live normal and comfortable lives. This mini-review describes some of the recent studies on cognitive decline and motor control impairment with the goal of advancing non-invasive brain computer interface (BCI) technologies to improve health and wellness of older adults and elderly patients. First, we describe the state of the art in cognitive prosthetics for psychiatric diseases. Then, we describe the state of the art of possible assistive BCI applications for controlling an exoskeleton, a wheelchair and smart home for elderly people with motor control impairments. The basic age-related brain and body changes, the effects of age on cognitive and motor abilities, and several BCI paradigms with typical tasks and outcomes are thoroughly described. We also discuss likely future trends and technologies to assist healthy older adults and elderly patients using innovative BCI applications with minimal technical oversight.

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“…BCIs are useful for measuring cognitive processes, which means that there is a greater opportunity for the training to be adapted based on the learner's current condition, which should enable a better education of the user. Example in learning mathematics using abacus, the BCI system can detect the brain activity during the calculation process and see the different signals and brain changes between the expert and novices students [65]. Therefore, with these information, the educator can improved adaption of content and different way of teaching to maximize the student's performance in learning.…”

Section: Cognitive and Affective Brain-computer Interfaces In Educationmentioning

confidence: 99%

Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature Review

Jamil

Belkacem²,

Ouhbi

et al. 2021

IEEE Access

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Brain-computer interface (BCI) technology has the potential to positively contribute to the educational learning environment, which faces many challenges and shortcomings. Cognitive and affective BCIs can offer a deep understanding of brain mechanisms, which may improve learning strategies and increase brain-based skills. They can offer a better empirical foundation for teaching-learning methodologies, including adjusting learning content based on brain workload, measuring student interest of a topic, or even helping students focus on specific tasks. The latest findings from emerging BCI technology, neuroscience, cognitive sciences, and psychology could be used in learning and teaching strategies to improve student abilities in education. This study investigates and analyzes the research on BCI patterns and its implementation for enhancing cognitive capabilities of students. The results showed that there is insufficient literature on BCI that addresses students with disabilities in the learning process. Further, our analysis revealed a bias toward the significance of cognitive process factors compared with other influential factors, such as the learning environment and emotions that influence learning. Finally, we concluded that BCI technology could improve students' learning and cognitive skills-when consistently associated with the different pedagogical teaching-learning strategies-for better academic achievement.INDEX TERMS 21st century abilities, Applications in subject areas, Brain computer interface, Improving classroom teaching, Neurofeedback, Teaching/learning strategies.

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Neural Processing Mechanism of Mental Calculation Based on Cerebral Oscillatory Changes: A Comparison Between Abacus Experts and Novices

Cited by 8 publications

References 53 publications

Early Event-Related Potential During Figure and Object Perception of Abacus Mental Calculation Training Children: A Randomized Controlled Trial

Early Event-Related Potential During Figure and Object Perception of Abacus Mental Calculation Training Children: A Randomized Controlled Trial

Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients

Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature Review

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