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Xie Y, Chang H, Zhang Y, Wang C, Zhang Y, Chen L, Geng F, Ku Y, Menon V, Chen F. Long-term abacus training gains in children are predicted by medial temporal lobe anatomy and circuitry. Dev Sci 2024; 27:e13489. [PMID: 38421061 PMCID: PMC11161333 DOI: 10.1111/desc.13489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 03/02/2024]
Abstract
Abacus-based mental calculation (AMC) is a widely used educational tool for enhancing math learning, offering an accessible and cost-effective method for classroom implementation. Despite its universal appeal, the neurocognitive mechanisms that drive the efficacy of AMC training remain poorly understood. Notably, although abacus training relies heavily on the rapid recall of number positions and sequences, the role of memory systems in driving long-term AMC learning remains unknown. Here, we sought to address this gap by investigating the role of the medial temporal lobe (MTL) memory system in predicting long-term AMC training gains in second-grade children, who were longitudinally assessed up to fifth grade. Leveraging multimodal neuroimaging data, we tested the hypothesis that MTL systems, known for their involvement in associative memory, are instrumental in facilitating AMC-induced improvements in math skills. We found that gray matter volume in bilateral MTL, along with functional connectivity between the MTL and frontal and ventral temporal-occipital cortices, significantly predicted learning gains. Intriguingly, greater gray matter volume but weaker connectivity of the posterior parietal cortex predicted better learning outcomes, offering a more nuanced view of brain systems at play in AMC training. Our findings not only underscore the critical role of the MTL memory system in AMC training but also illuminate the neurobiological factors contributing to individual differences in cognitive skill acquisition. A video abstract of this article can be viewed at https://youtu.be/StVooNRc7T8. RESEARCH HIGHLIGHTS: We investigated the role of medial temporal lobe (MTL) memory system in driving children's math learning following abacus-based mental calculation (AMC) training. AMC training improved math skills in elementary school children across their second and fifth grade. MTL structural integrity and functional connectivity with prefrontal and ventral temporal-occipital cortices predicted long-term AMC training-related gains.
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Affiliation(s)
- Ye Xie
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, PR China
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States
- Center for Brain and Mental Well-being, Department of Psychology, Sun Yat-sen University, Guangzhou, 510006, PR China
| | - Hyesang Chang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States
| | - Yi Zhang
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, PR China
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, PR China
| | - Chunjie Wang
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, PR China
- Institute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, 311121, PR China
| | - Yuan Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States
| | - Lang Chen
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States
- Department of Psychology, Santa Clara University, Santa Clara, CA 95053, United States
| | - Fengji Geng
- Department of Curriculum and Learning Sciences, Zhejiang University, Hangzhou, 310058, PR China
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310003, PR China
| | - Yixuan Ku
- Center for Brain and Mental Well-being, Department of Psychology, Sun Yat-sen University, Guangzhou, 510006, PR China
- Peng Cheng Laboratory, Shenzhen, 518040, PR China
| | - Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, United States
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, United States
| | - Feiyan Chen
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, PR China
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Wang Y, Zhang Y, Xu T, Han X, Ge X, Chen F. Finger motor representation supports the autonomy in arithmetic: neuroimaging evidence from abacus training. Cereb Cortex 2024; 34:bhad524. [PMID: 38186011 DOI: 10.1093/cercor/bhad524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024] Open
Abstract
Researches have reported the close association between fingers and arithmetic. However, it remains unclear whether and how finger training can benefit arithmetic. To address this issue, we used the abacus-based mental calculation (AMC), which combines finger training and mental arithmetic learning, to explore the neural correlates underlying finger-related arithmetic training. A total of 147 Chinese children (75 M/72 F, mean age, 6.89 ± 0.46) were recruited and randomly assigned into AMC and control groups at primary school entry. The AMC group received 5 years of AMC training, and arithmetic abilities and resting-state functional magnetic resonance images data were collected from both groups at year 1/3/5. The connectome-based predictive modeling was used to find the arithmetic-related networks of each group. Compared to controls, the AMC's positively arithmetic-related network was less located in the control module, and the inter-module connections between somatomotor-default and somatomotor-control modules shifted to somatomotor-visual and somatomotor-dorsal attention modules. Furthermore, the positive network of the AMC group exhibited a segregated connectivity pattern, with more intra-module connections than the control group. Overall, our results suggested that finger motor representation with motor module involvement facilitated arithmetic-related network segregation, reflecting increased autonomy of AMC, thus reducing the dependency of arithmetic on higher-order cognitive functions.
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Affiliation(s)
- Yanjie Wang
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Yi Zhang
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310058, China
| | - Tianyong Xu
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Xiao Han
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Xuelian Ge
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
| | - Feiyan Chen
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou 310058, China
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Xu T, Wu Y, Zhang Y, Zuo XN, Chen F, Zhou C. Reshaping the Cortical Connectivity Gradient by Long-Term Cognitive Training During Development. Neurosci Bull 2024; 40:50-64. [PMID: 37715923 PMCID: PMC10774512 DOI: 10.1007/s12264-023-01108-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 06/01/2023] [Indexed: 09/18/2023] Open
Abstract
The organization of the brain follows a topological hierarchy that changes dynamically during development. However, it remains unknown whether and how cognitive training administered over multiple years during development can modify this hierarchical topology. By measuring the brain and behavior of school children who had carried out abacus-based mental calculation (AMC) training for five years (starting from 7 years to 12 years old) in pre-training and post-training, we revealed the reshaping effect of long-term AMC intervention during development on the brain hierarchical topology. We observed the development-induced emergence of the default network, AMC training-promoted shifting, and regional changes in cortical gradients. Moreover, the training-induced gradient changes were located in visual and somatomotor areas in association with the visuospatial/motor-imagery strategy. We found that gradient-based features can predict the math ability within groups. Our findings provide novel insights into the dynamic nature of network recruitment impacted by long-term cognitive training during development.
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Affiliation(s)
- Tianyong Xu
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, China
| | - Yunying Wu
- Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, 310027, China
| | - Yi Zhang
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, China
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Xi-Nian Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Feiyan Chen
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, China.
- Zhejiang Province Key Laboratory of Quantum Technology and Devices, Zhejiang University, Hangzhou, 310027, China.
| | - Changsong Zhou
- Bio-X Laboratory, School of Physics, Zhejiang University, Hangzhou, 310027, China.
- Zhejiang Province Key Laboratory of Quantum Technology and Devices, Zhejiang University, Hangzhou, 310027, China.
- Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong, 999077, China.
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Mucignat-Caretta C, Soravia G. Positive or negative environmental modulations on human brain development: the morpho-functional outcomes of music training or stress. Front Neurosci 2023; 17:1266766. [PMID: 38027483 PMCID: PMC10657192 DOI: 10.3389/fnins.2023.1266766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
In the last couple of decades, the study of human living brain has benefitted of neuroimaging and non-invasive electrophysiological techniques, which are particularly valuable during development. A number of studies allowed to trace the usual stages leading from pregnancy to adult age, and relate them to functional and behavioral measurements. It was also possible to explore the effects of some interventions, behavioral or not, showing that the commonly followed pathway to adulthood may be steered by external interventions. These events may result in behavioral modifications but also in structural changes, in some cases limiting plasticity or extending/modifying critical periods. In this review, we outline the healthy human brain development in the absence of major issues or diseases. Then, the effects of negative (different stressors) and positive (music training) environmental stimuli on brain and behavioral development is depicted. Hence, it may be concluded that the typical development follows a course strictly dependent from environmental inputs, and that external intervention can be designed to positively counteract negative influences, particularly at young ages. We also focus on the social aspect of development, which starts in utero and continues after birth by building social relationships. This poses a great responsibility in handling children education and healthcare politics, pointing to social accountability for the responsible development of each child.
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Affiliation(s)
| | - Giulia Soravia
- Department of Mother and Child Health, University of Padova, Padova, Italy
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Yao Y, Zhou H, Xu T, Ge X, Du F, Wang C, Chen F. Different impacts of long-term abacus training on symbolic and non-symbolic numerical magnitude processing in children. Biol Psychol 2023; 178:108514. [PMID: 36740009 DOI: 10.1016/j.biopsycho.2023.108514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023]
Abstract
Abacus-based mental calculation (AMC) has been shown to be effective in promoting math ability in children. Given that AMC relies on a visuospatial strategy to perform rapid and precise arithmetic, previous studies mostly focused on the promotion of AMC training on arithmetic ability and mathematical visual-spatial ability, as well as its transfer of advanced cognitive ability. However, little attention has been given to its impact on basic numerical comparison ability. Here, we aim to examine whether and how long-term AMC training impacts symbolic and non-symbolic numerical comparisons. The distance effect (DE) was utilized as a marker, indicating that the comparison between two numbers becomes faster as their numerical distance enlarges. In the current study, forty-one children matched for age and sex were recruited at primary school entry and randomly assigned to the AMC group and the control group. After three years of training, the event-related potential (ERP) recording technique was used to explore the temporal dynamics of number comparison, of which tasks were given in symbolic (Arabic number) or non-symbolic (dot array) format. In the symbolic task, the children in the AMC group showed a smaller DE than those in the control group. Two ERP components, N1 and P2p, located in parietal areas (PO7, PO8) were selected as neural markers of numerical processing. Both groups showed DE in the P2p component in both tasks, but only the children in the AMC group showed DE in the N1 component in the non-symbolic task. In addition, the DE size calculated from reaction times and ERP amplitudes was correlated with higher cognitive capacities, such as coding ability. Taken together, the present results provide evidence that long-term AMC training may be beneficial for numerical processing in children, which may be associated with neurocognitive indices of parietal brain regions.
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Affiliation(s)
- Yuan Yao
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China; Department of Psychology, Suzhou University of Science and Technology, Suzhou, China
| | - Hui Zhou
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Tianyong Xu
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China
| | - Xuelian Ge
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China
| | - Fenglei Du
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China; Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Chunjie Wang
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China; Institute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Feiyan Chen
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China.
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Zhou H, Li Z, Wang C. Development of proactive control in school-age children and its relationship with working memory. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03260-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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7
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Wang CC, Sun YC, Zhang Y, Xin YW, Gao WX, Jia LP, Liu XQ. An ERP study on the influence of mental abacus calculation on subthreshold arithmetic priming in children. Neuroreport 2022; 33:116-128. [PMID: 35139060 DOI: 10.1097/wnr.0000000000001761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The objective of this study was to investigate the influence of mental abacus calculation training (MACT) on subliminal cognitive processes. METHODS Twenty children with intensive MACT (MACT group) and 20 children without MACT (non-MACT group) were selected. The two groups of children were matched in age, sex, handedness and academic grade. The participants were tested with subthreshold arithmetic priming task while their neural activities were recorded with a 32-channel electroencephalogram system. RESULTS We found that MACT changed the subliminal cognitive mechanism of computational processing, speeding up the computation. MACT affected the computational processing mode. Specifically, in the identification stage, both groups of children adopted the visual space processing mode, while in the computing stage, the MACT group adopted a visual space processing mode, but the non-MACT group adopted a semantic processing mode. Moreover, MACT improved children's executive functions. CONCLUSION These results yielded insights into the effect of early abacus training on children's cognitive processing, providing a theoretical basis for the development and promotion of abacus training.
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Affiliation(s)
- Cong-Cong Wang
- Department of Psychology, Weifang Medical University, Weifang, Shandong, China
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8
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Lu Y, Li M, Cui Z, Wang L, Hu Y, Zhou X. Transfer effects of abacus training on cognition. CURRENT PSYCHOLOGY 2021. [DOI: 10.1007/s12144-021-01968-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Zhang Y, Wang C, Yao Y, Zhou C, Chen F. Adaptive Reconfiguration of Intrinsic Community Structure in Children with 5-Year Abacus Training. Cereb Cortex 2021; 31:3122-3135. [PMID: 33585902 DOI: 10.1093/cercor/bhab010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 12/17/2020] [Accepted: 01/04/2020] [Indexed: 01/21/2023] Open
Abstract
Human learning can be understood as a network phenomenon, underpinned by the adaptive reconfiguration of modular organization. However, the plasticity of community structure (CS) in resting-state network induced by cognitive intervention has never been investigated. Here, we explored the individual difference of intrinsic CS between children with 5-year abacus-based mental calculation (AMC) training (35 subjects) and their peers without prior experience in AMC (31 subjects). Using permutation-based analysis between subjects in the two groups, we found the significant alteration of intrinsic CS, with training-attenuated individual difference. The alteration of CS focused on selective subsets of cortical regions ("core areas"), predominantly affiliated to the visual, somatomotor, and default-mode subsystems. These subsystems exhibited training-promoted cohesion with attenuated interaction between them, from the perspective of individuals' CS. Moreover, the cohesion of visual network could predict training-improved math ability in the AMC group, but not in the control group. Finally, the whole network displayed enhanced segregation in the AMC group, including higher modularity index, more provincial hubs, lower participation coefficient, and fewer between-module links, largely due to the segregation of "core areas." Collectively, our findings suggested that the intrinsic CS could get reconfigured toward more localized processing and segregated architecture after long-term cognitive training.
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Affiliation(s)
- Yi Zhang
- Bio-X Laboratory, Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, and Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Zhejiang University, Hangzhou 310027, China
| | - Chunjie Wang
- Bio-X Laboratory, Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, and Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Zhejiang University, Hangzhou 310027, China
| | - Yuzhao Yao
- Bio-X Laboratory, Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, and Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Zhejiang University, Hangzhou 310027, China
| | - Changsong Zhou
- Bio-X Laboratory, Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, and Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Zhejiang University, Hangzhou 310027, China.,Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China
| | - Feiyan Chen
- Bio-X Laboratory, Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, and Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Zhejiang University, Hangzhou 310027, China
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10
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Lima-Silva TB, Barbosa MEDC, Zumkeller MG, Verga CER, Prata PL, Cardoso NP, de Moraes LC, Brucki SMD. Cognitive training using the abacus: a literature review study on the benefits for different age groups. Dement Neuropsychol 2021; 15:256-266. [PMID: 34345368 PMCID: PMC8283869 DOI: 10.1590/1980-57642021dn15-020014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 01/07/2021] [Indexed: 11/30/2022] Open
Abstract
The literature indicates that cognitive stimulation interventions have shown promising results. Abacus represents a tool with great potential in such interventions.
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Affiliation(s)
- Thais Bento Lima-Silva
- Group of Cognitive and Behavioral Neurology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo, SP, Brazil
| | | | | | | | - Patrícia Lessa Prata
- Group of Cognitive and Behavioral Neurology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo, SP, Brazil
| | | | | | - Sonia Maria Dozzi Brucki
- Group of Cognitive and Behavioral Neurology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo, SP, Brazil
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11
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Jia X, Zhang Y, Yao Y, Chen F, Liang P. Neural correlates of improved inductive reasoning ability in abacus-trained children: A resting state fMRI study. Psych J 2021; 10:566-573. [PMID: 33709543 DOI: 10.1002/pchj.439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Revised: 12/27/2020] [Accepted: 01/19/2021] [Indexed: 11/09/2022]
Abstract
Abacus-based mental calculation (AMC) training may improve mathematics-related abilities and transfer to other cognitive domains. Thus, it was hypothesized that inductive reasoning abilities can be improved by AMC training given the overlapping cognitive processes and neural correlates between AMC and inductive reasoning. The aim of the current study was to examine the underlying neurobiological mechanisms of this possible adaption by resting-state functional magnetic resonance imaging (rs-fMRI). Sixty-three children were randomly assigned to either the AMC-trained or the nontrained group. The AMC-trained group was required to perform abacus training for 2 hours per week for 5 years whereas the nontrained group was not required to perform any abacus training. Each participant's rs-fMRI data were collected after abacus training, and regional homogeneity (ReHo) analysis was performed to determine the neural activity differences between groups. The participants' posttraining mathematical ability, intelligence quotients, and inductive reasoning ability were recorded and evaluated. The results revealed that AMC-trained children exhibited a significantly higher mathematical ability and inductive reasoning performance and higher ReHo in the rostrolateral prefrontal cortex (RLPFC) compared to the nontrained group. In particular, the increased ReHo in the RLPFC was found to be positively correlated with improved inductive reasoning performance. Our findings suggest that rs-fMRI may reflect the modulation of training in task-related networks.
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Affiliation(s)
- Xiuqin Jia
- School of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing, China.,Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yi Zhang
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China
| | - Yuzhao Yao
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China
| | - Feiyan Chen
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, China
| | - Peipeng Liang
- School of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing, China
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12
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Tymofiyeva O, Gaschler R. Training-Induced Neural Plasticity in Youth: A Systematic Review of Structural and Functional MRI Studies. Front Hum Neurosci 2021; 14:497245. [PMID: 33536885 PMCID: PMC7848153 DOI: 10.3389/fnhum.2020.497245] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 12/01/2020] [Indexed: 01/17/2023] Open
Abstract
Experience-dependent neural plasticity is high in the developing brain, presenting a unique window of opportunity for training. To optimize existing training programs and develop new interventions, it is important to understand what processes take place in the developing brain during training. Here, we systematically review MRI-based evidence of training-induced neural plasticity in children and adolescents. A total of 71 articles were included in the review. Significant changes in brain activation, structure, microstructure, and structural and functional connectivity were reported with different types of trainings in the majority (87%) of the studies. Significant correlation of performance improvement with neural changes was reported in 51% of the studies. Yet, only 48% of the studies had a control condition. Overall, the review supports the hypothesized neural changes with training while at the same time charting empirical and methodological desiderata for future research.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, United States
- Department of Psychology, University of Hagen, Hagen, Germany
| | - Robert Gaschler
- Department of Psychology, University of Hagen, Hagen, Germany
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13
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Lu Y, Ma M, Chen G, Zhou X. Can abacus course eradicate developmental dyscalculia. PSYCHOLOGY IN THE SCHOOLS 2020. [DOI: 10.1002/pits.22441] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Yujie Lu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Advanced Innovation Center for Future Education Beijing Normal University Beijing China
- Siegler Center for Innovative Learning Beijing Normal University Beijing China
| | - Mei Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Advanced Innovation Center for Future Education Beijing Normal University Beijing China
- Siegler Center for Innovative Learning Beijing Normal University Beijing China
| | - Guozhong Chen
- Educational, Scientific and Cultural Division, The Jiangsu Abacus Association Department of Finance of Jiangsu Province Jiangsu China
| | - Xinlin Zhou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Advanced Innovation Center for Future Education Beijing Normal University Beijing China
- Siegler Center for Innovative Learning Beijing Normal University Beijing China
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14
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Wang C. A Review of the Effects of Abacus Training on Cognitive Functions and Neural Systems in Humans. Front Neurosci 2020; 14:913. [PMID: 32982681 PMCID: PMC7492585 DOI: 10.3389/fnins.2020.00913] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 08/06/2020] [Indexed: 12/18/2022] Open
Abstract
Abacus, which represents numbers via a visuospatial format, is a traditional device to facilitate arithmetic operations. Skilled abacus users, who have acquired the ability of abacus-based mental calculation (AMC), can perform fast and accurate calculations by manipulating an imaginary abacus in mind. Due to this extraordinary calculation ability in AMC users, there is an expanding literature investigating the effects of AMC training on cognition and brain systems. This review study aims to provide an updated overview of important findings in this fast-growing research field. Here, findings from previous behavioral and neuroimaging studies about AMC experts as well as children and adults receiving AMC training are reviewed and discussed. Taken together, our review of the existing literature suggests that AMC training has the potential to enhance various cognitive skills including mathematics, working memory and numerical magnitude processing. Besides, the training can result in functional and anatomical neural changes that are largely located within the frontal-parietal and occipital-temporal brain regions. Some of the neural changes can explain the training-induced cognitive enhancements. Still, caution is needed when extend the conclusions to a more general situation. Implications for future research are provided.
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Affiliation(s)
- Chunjie Wang
- Institute of Brain Science and Department of Psychology, School of Education, Hangzhou Normal University, Hangzhou, China
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15
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Belkacem AN, Kiso K, Uokawa E, Goto T, Yorifuji S, Hirata M. Neural Processing Mechanism of Mental Calculation Based on Cerebral Oscillatory Changes: A Comparison Between Abacus Experts and Novices. Front Hum Neurosci 2020; 14:137. [PMID: 32351373 PMCID: PMC7176303 DOI: 10.3389/fnhum.2020.00137] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 03/23/2020] [Indexed: 11/15/2022] Open
Abstract
Background: Abacus experts could mentally calculate fast some mathematical operations using multi-digit numbers. The temporal dynamics of abacus mental calculation are still unknown although some behavioral and neuroimaging studies have suggested a visuospatial and visuomotor neural process during abacus mental calculation. Therefore, this contribution aims to clarify the significant similarities and the differences between experts and novices by investigating calculation-induced neuromagnetic responses based on cerebral oscillatory changes. Methods: Twelve to 13 healthy abacus experts and 17 non-experts participated in two experimental paradigms using non-invasive neuromagnetic measurements. In experiments 1 and 2, the spatial distribution of oscillatory changes presented mental calculations and temporal frequency profiles during addition while examining multiplication tasks. The MEG data were analyzed using synthetic aperture magnetometry (SAM) with an adaptive beamformer to calculate the group average of the spatial distribution of oscillatory changes and their temporal frequency profiles in source-level analyses. Results: Using a group average of the spatial distribution of oscillatory changes, we observed some common brain activities in both right-handed abacus experts and non-experts. In non-experts, we detected the right dorsolateral prefrontal cortex (DLPFC) and bilateral Intraparietal sulcus (IPS); whereas in experts, detected the bilateral parieto-occipital sulcus (POS), right inferior frontal gyrus (IFG), and left sensorimotor areas mainly. Based on the findings generated, we could propose calculation processing models for both abacus experts and non- experts conveniently. Conclusion: The proposed model of calculation processing in abacus experts and novices revealed that the novices could calculate logically depending on numerical processing in the left IPS. In contrast, abacus experts are utilizing spatial processing using a memorized imaginary abacus, which distributed over the bilateral hemispheres in the IFG and sensorimotor areas.
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Affiliation(s)
- Abdelkader Nasreddine Belkacem
- Department of Computer and Network Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates.,Department of Neurological Diagnosis and Restoration, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kanako Kiso
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Etsuko Uokawa
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Tetsu Goto
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Shiro Yorifuji
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Masayuki Hirata
- Department of Neurological Diagnosis and Restoration, Osaka University Graduate School of Medicine, Suita, Japan.,Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.,Endowed Research Department of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Osaka University, Suita, Japan.,Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka University, Suita, Japan
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Zhou H, Geng F, Wang T, Wang C, Xie Y, Hu Y, Chen F. Training on Abacus-based Mental Calculation Enhances Resting State Functional Connectivity of Bilateral Superior Parietal Lobules. Neuroscience 2020; 432:115-125. [PMID: 32112920 DOI: 10.1016/j.neuroscience.2020.02.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/28/2020] [Accepted: 02/19/2020] [Indexed: 10/24/2022]
Abstract
Accumulating evidence indicates a positive effect of abacus-based mental calculation (AMC) training on various cognitive functions including short-term memory (STM). Our previous work has shown AMC training-induced activation changes in the frontal-parietal network (FPN) using task fMRI. However, whether AMC training-induced functional plasticity in the same brain network can be detected at resting state remains unknown. The current study aimed to address this question using resting state functional connectivity in a longitudinal AMC training experiment engaging a training group (18 subjects, age = 21.439 ± 0.565) and a control group (18 subjects, age = 21.113 ± 1.140). Our results revealed that the average functional connectivity strength within the FPN showing task activation changes was significantly enhanced after training in the AMC group, whereas it remained stable in the control group. Further analysis indicated that such connectivity increase in the AMC group was primarily driven by the enhanced coupling of bilateral superior parietal lobules (SPL). In addition, a significant and positive correlation between letter forward memory span and SPL connectivity was found at post-training session in the AMC group. While the weakest quartile of SPL connections ranking by pre-training connectivity strength showed the largest effect of enhancement after training, it was the strongest quartile of SPL connectivity that correlated the most with memory span at post-training session. These findings suggest that AMC training may enhance bilateral SPL functional connectivity, through which AMC training might exert a transfer effect to improve short-term memory capacity.
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Affiliation(s)
- Hui Zhou
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou 310027, China
| | - Fengji Geng
- Department of Curriculum and Learning Science, College of Education, Zhejiang University, Hangzhou 310027, China
| | - Tengfei Wang
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Chunjie Wang
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou 310027, China; Department of Psychology, School of Education, Hangzhou Normal University, China
| | - Ye Xie
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou 310027, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
| | - Feiyan Chen
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou 310027, China
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Wang C, Hu Y, Weng J, Chen F, Liu H. Modular segregation of task-dependent brain networks contributes to the development of executive function in children. Neuroimage 2019; 206:116334. [PMID: 31704295 DOI: 10.1016/j.neuroimage.2019.116334] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 10/23/2019] [Accepted: 11/03/2019] [Indexed: 11/19/2022] Open
Abstract
Executive function (EF) refers as to a set of high-level cognitive abilities that are critical to many aspects of daily life. Despite its importance in human daily life, the neural networks responsible for the development of EF in childhood are not well understood. The present study thus aimed to examine the development of task-dependent brain network organization and its relationship to age-related improvements in EF. To address this issue, we recruited eighty-eight Chinese children ranging in age from 7 to 12 years old, and collected their functional magnetic resonance imaging (fMRI) data when they performed an EF task. By utilizing graph theory, we found that the task-dependent brain network modules became increasingly segregated with age. Specifically, the intra-module connections within the default-mode network (DMN), frontal-parietal network (FPN) and sensorimotor network (SMN) increased significantly with age. In contrast, the inter-module connections of the visual network to both the FPN/SMN decreased significantly with age. Most importantly, modular segregation of the FPN significantly mediated the relationship between age and EF performance. These findings add to our growing understanding of how development changes in task-dependent brain network organization support vast behavioral improvements in EF observed during childhood.
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Affiliation(s)
- Chunjie Wang
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, China; State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310027, China
| | - Jian Weng
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, China; Center of Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, 310027, China
| | - Feiyan Chen
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, China.
| | - Huafeng Liu
- State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou, 310027, China.
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Wang C, Xu T, Geng F, Hu Y, Wang Y, Liu H, Chen F. Training on Abacus-Based Mental Calculation Enhances Visuospatial Working Memory in Children. J Neurosci 2019; 39:6439-6448. [PMID: 31209171 PMCID: PMC6697396 DOI: 10.1523/jneurosci.3195-18.2019] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 06/05/2019] [Accepted: 06/11/2019] [Indexed: 12/11/2022] Open
Abstract
Abacus-based mental calculation (AMC) involves temporary storage and manipulation of an imaginary abacus closely related to the function of visuospatial working memory (VSWM). The present study thus investigated the effects of AMC training on VSWM and its neural correlates. A total of 144 human subjects (67 boys) were assigned to AMC or control groups at their entry to primary school. The AMC group received 2 h AMC training per week for 5 school years, whereas the control group spent the time in activities, such as conventional calculation and reading. Raven's Intelligence Test was administered both before and after training. Two arithmetic tests and a VSWM task were conducted after training. Among these participants, fMRI data were collected from 64 children for the VSWM task. Behavioral results indicated that the AMC group outperformed controls on both arithmetic and VSWM tasks, but not on Raven's Intelligence Test. While the two groups activated similar regions during the VSWM task, the AMC group showed greater activation than the controls in frontal, parietal, and occipital areas. Interestingly, the activation of right middle frontal gyrus mediated the relation between the arithmetic ability and the VSWM performance in the AMC group, suggesting that the frontal region may be the neural substrate underlying the transfer effect from AMC training to VSWM. Although the transfer effects seem quite limited considering the length and intensity of the training, these findings suggest that long-term AMC training not only improves arithmetic ability but also has a potential positive effect on VSWM.SIGNIFICANCE STATEMENT Plasticity of working memory is one of the most rapidly expanding research fields in the developmental and cognitive sciences. Previous studies suggest that abacus-based mental calculation (AMC) relies on a visuospatial imaginary strategy, which is closely related to visuospatial working memory (VSWM). However, the impacts of AMC training on VSWM and the underlying neural basis remain unclear. Here, we found that AMC training enhanced VSWM in children, which was accompanied by altered activation in frontal, parietal, and occipital areas. Moreover, we observed that activation in right middle frontal gyrus played a significant mediation role in the transfer of AMC training to VSWM. These findings provide a new perspective to VSWM training and also advance our understanding of related brain plasticity.
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Affiliation(s)
- Chunjie Wang
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou 310027, China
- State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Tianyong Xu
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou 310027, China
| | - Fengji Geng
- Department of Curriculum and Learning Sciences, College of Education, Zhejiang University, Hangzhou 310027, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou 310027, China, and
| | - Yunqi Wang
- School of International Studies, Zhejiang University, Hangzhou 310058, China
| | - Huafeng Liu
- State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Feiyan Chen
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou 310027, China,
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Zhou H, Geng F, Wang Y, Wang C, Hu Y, Chen F. Transfer effects of abacus training on transient and sustained brain activation in the frontal–parietal network. Neuroscience 2019; 408:135-146. [DOI: 10.1016/j.neuroscience.2019.04.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 03/15/2019] [Accepted: 04/01/2019] [Indexed: 11/25/2022]
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20
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Xie Y, Weng J, Wang C, Xu T, Peng X, Chen F. The impact of long-term abacus training on modular properties of functional brain network. Neuroimage 2018; 183:811-817. [PMID: 30149141 DOI: 10.1016/j.neuroimage.2018.08.057] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 08/17/2018] [Accepted: 08/23/2018] [Indexed: 01/22/2023] Open
Abstract
Training induces cognitive and neural plasticity, and understanding of the neural mechanisms of training-induced brain plasticity has significant implications for improving children's academic achievement. Previous studies have indicated that training in abacus-based mental calculation (AMC) improves arithmetical capacities and results in brain plasticity within visuospatial brain regions. However, previous studies have reported alterations within distributed brain regions. Thus, it remains unclear whether and how AMC training influences the functional integration and separation between and/or within networks. The current study aimed to address these questions using graph theory, engaging 162 children, 90 of whom were given long-term AMC training. The AMC group exhibited greater local efficiency and intra-module connections within the visual network and less local efficiency and intra-module connections in the cingulo-opercular network (CON). Interestingly, in the AMC group, negative correlations were found between local efficiency and intra-module connections across the two networks. Furthermore, both network characteristics of the CON were negatively correlated with math ability in the AMC group. No such correlations were found in the control group. The current study delineated the enhanced neural mechanisms of visuospatial-related brain regions at an intermediate level and highlighted the intrinsic association between different brain ensembles in neural plasticity, thus furthering the understanding of the effects of AMC training on brain network reconfiguration.
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Affiliation(s)
- Ye Xie
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, PR China
| | - Jian Weng
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, PR China; Center of Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, Zhejiang, PR China
| | - Chunjie Wang
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, PR China; State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou, PR China
| | - Tianyong Xu
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, PR China
| | - Xiaogang Peng
- The First Hospital of Qiqihar, Qiqihar, Heilongjiang, PR China
| | - Feiyan Chen
- Bio-X Laboratory, Department of Physics, Zhejiang University, Hangzhou, 310027, PR China.
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