• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

儿童算术学习后大脑激活减少但无移位:一项同步功能近红外光谱-脑电图研究。

Reduction but no shift in brain activation after arithmetic learning in children: A simultaneous fNIRS-EEG study.

机构信息

Graduate Training Centre of Neuroscience/IMPRS for Cognitive and Systems Neuroscience, 72074, Tuebingen, Germany.

Department of Psychology, University of Tuebingen, 72076, Tuebingen, Germany.

出版信息

Sci Rep. 2018 Jan 26;8(1):1707. doi: 10.1038/s41598-018-20007-x.

DOI:10.1038/s41598-018-20007-x
PMID:29374271
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5786008/
Abstract

Neurocognitive studies of arithmetic learning in adults have revealed decreasing brain activation in the fronto-parietal network, along with increasing activation of specific cortical and subcortical areas during learning. Both changes are associated with a shift from procedural to retrieval strategies for problem-solving. Here we address the critical, open question of whether similar neurocognitive changes are also evident in children. In this study, 20 typically developing children were trained to solve simple and complex multiplication problems. The one-session and two-week training effects were monitored using simultaneous functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). FNIRS measurement after one session of training on complex multiplication problems revealed decreased activation at the left angular gyrus (AG), right superior parietal lobule, and right intraparietal sulcus. Two weeks of training led to decreased activation at the left AG and right middle frontal gyrus. For both simple and complex problems, we observed increased alpha power in EEG measurements as children worked on trained versus untrained problems. In line with previous multiplication training studies in adults, reduced activation within the fronto-parietal network was observed after training. Contrary to adults, we found that strategy shifts via arithmetic learning were not contingent on the activation of the left AG in children.

摘要

成人算术学习的神经认知研究表明,随着学习过程中特定皮质和皮质下区域的激活增加,额顶网络的大脑激活减少。这两种变化都与从程序性策略到检索策略解决问题的转变有关。在这里,我们解决了一个关键的、开放性的问题,即在儿童中是否也存在类似的神经认知变化。在这项研究中,20 名正常发育的儿童接受了简单和复杂乘法问题的训练。使用同步功能近红外光谱 (fNIRS) 和脑电图 (EEG) 监测单次训练和两周训练的效果。在一次复杂乘法问题训练后,fNIRS 测量显示左角回 (AG)、右顶叶上回和右顶内沟的激活减少。两周的训练导致左 AG 和右额中回的激活减少。对于简单和复杂的问题,我们观察到儿童在训练和未训练问题上的脑电图测量中α波功率增加。与成人以前的乘法训练研究一致,在训练后观察到额顶网络内的激活减少。与成人不同的是,我们发现,通过算术学习进行的策略转变并不依赖于儿童左 AG 的激活。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/0568c928c492/41598_2018_20007_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/5ae8c1f3b670/41598_2018_20007_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/32f502f27b83/41598_2018_20007_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/fdd8356d4bd1/41598_2018_20007_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/53706967d193/41598_2018_20007_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/b7b2b230f8ce/41598_2018_20007_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/0568c928c492/41598_2018_20007_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/5ae8c1f3b670/41598_2018_20007_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/32f502f27b83/41598_2018_20007_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/fdd8356d4bd1/41598_2018_20007_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/53706967d193/41598_2018_20007_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/b7b2b230f8ce/41598_2018_20007_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b6/5786008/0568c928c492/41598_2018_20007_Fig6_HTML.jpg

相似文献

1
Reduction but no shift in brain activation after arithmetic learning in children: A simultaneous fNIRS-EEG study.儿童算术学习后大脑激活减少但无移位:一项同步功能近红外光谱-脑电图研究。
Sci Rep. 2018 Jan 26;8(1):1707. doi: 10.1038/s41598-018-20007-x.
2
Training causes activation increase in temporo-parietal and parietal regions in children with mathematical disabilities.训练会导致数学障碍儿童的颞顶叶和顶叶区域的活跃度增加。
Brain Struct Funct. 2022 Jun;227(5):1757-1771. doi: 10.1007/s00429-022-02470-5. Epub 2022 Mar 7.
3
Arithmetic learning in children: An fMRI training study.儿童算术学习:一项功能磁共振成像训练研究。
Neuropsychologia. 2022 May 3;169:108183. doi: 10.1016/j.neuropsychologia.2022.108183. Epub 2022 Feb 15.
4
Increased arithmetic complexity is associated with domain-general but not domain-specific magnitude processing in children: A simultaneous fNIRS-EEG study.算术复杂度增加与儿童的一般领域而非特定领域的数量处理相关:一项同步功能近红外光谱-脑电图研究。
Cogn Affect Behav Neurosci. 2017 Aug;17(4):724-736. doi: 10.3758/s13415-017-0508-x.
5
How specifically do we learn? Imaging the learning of multiplication and subtraction.我们究竟是如何学习的?对乘法和减法学习过程进行成像研究。
Neuroimage. 2006 May 1;30(4):1365-75. doi: 10.1016/j.neuroimage.2005.11.016. Epub 2006 Jan 18.
6
Fact learning in complex arithmetic and figural-spatial tasks: the role of the angular gyrus and its relation to mathematical competence.复杂算术和图形空间任务中的事实学习:角回的作用及其与数学能力的关系。
Hum Brain Mapp. 2009 Sep;30(9):2936-52. doi: 10.1002/hbm.20720.
7
Arithmetic learning modifies the functional connectivity of the fronto-parietal network.算术学习改变了额顶网络的功能连接。
Cortex. 2019 Feb;111:51-62. doi: 10.1016/j.cortex.2018.07.016. Epub 2018 Jul 31.
8
Learning by strategies and learning by drill--evidence from an fMRI study.策略学习与机械学习——一项功能磁共振成像研究的证据
Neuroimage. 2005 Apr 15;25(3):838-49. doi: 10.1016/j.neuroimage.2004.12.009.
9
The neural correlates of mental arithmetic in adolescents: a longitudinal fNIRS study.青少年心算的神经相关因素:一项纵向近红外光谱研究。
Behav Brain Funct. 2018 Mar 10;14(1):5. doi: 10.1186/s12993-018-0137-8.
10
Developmental fronto-parietal shift of brain activation during mental arithmetic across the lifespan: A registered report protocol.发展性额顶叶脑区激活在整个生命周期内的心算任务中的转变:一份注册报告方案。
PLoS One. 2021 Aug 25;16(8):e0256232. doi: 10.1371/journal.pone.0256232. eCollection 2021.

引用本文的文献

1
Neural signatures of word learning during adult-child interactions.成人与儿童互动过程中词汇学习的神经特征。
Imaging Neurosci (Camb). 2025 Jan 2;3. doi: 10.1162/imag_a_00407. eCollection 2025.
2
Math skills and microstructure of the middle longitudinal fasciculus: A developmental investigation.数学技能与中间纵束的微观结构:一项发育研究。
PLoS One. 2025 Jun 11;20(6):e0324802. doi: 10.1371/journal.pone.0324802. eCollection 2025.
3
The brain lateralization and development of math functions: progress since Sperry, 1974.大脑的功能侧化与数学功能的发展:自1974年斯佩里以来的进展

本文引用的文献

1
Brain areas associated with numbers and calculations in children: Meta-analyses of fMRI studies.儿童与数字和计算相关的大脑区域:fMRI 研究的荟萃分析。
Dev Cogn Neurosci. 2018 Apr;30:239-250. doi: 10.1016/j.dcn.2017.08.002. Epub 2017 Aug 8.
2
Arithmetic in the developing brain: A review of brain imaging studies.发展中大脑的运算:脑影像学研究综述。
Dev Cogn Neurosci. 2018 Apr;30:265-279. doi: 10.1016/j.dcn.2017.05.002. Epub 2017 May 17.
3
Increased arithmetic complexity is associated with domain-general but not domain-specific magnitude processing in children: A simultaneous fNIRS-EEG study.
Front Hum Neurosci. 2023 Oct 27;17:1288154. doi: 10.3389/fnhum.2023.1288154. eCollection 2023.
4
EEG based functional brain networks analysis in dyslexic children during arithmetic task.阅读障碍儿童在算术任务期间基于脑电图的功能性脑网络分析
Cogn Neurodyn. 2022 Oct;16(5):1013-1028. doi: 10.1007/s11571-021-09769-9. Epub 2022 Jan 27.
5
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms.图论在超扫描范式下功能近红外光谱数据(fNIRS)分析中的应用。
Front Comput Neurosci. 2022 Sep 14;16:975743. doi: 10.3389/fncom.2022.975743. eCollection 2022.
6
Applying functional near-infrared spectroscopy and eye-tracking in a naturalistic educational environment to investigate physiological aspects that underlie the cognitive effort of children during mental rotation tests.在自然主义教育环境中应用功能近红外光谱技术和眼动追踪技术,以研究儿童在心理旋转测试中认知努力背后的生理因素。
Front Hum Neurosci. 2022 Aug 12;16:889806. doi: 10.3389/fnhum.2022.889806. eCollection 2022.
7
Training causes activation increase in temporo-parietal and parietal regions in children with mathematical disabilities.训练会导致数学障碍儿童的颞顶叶和顶叶区域的活跃度增加。
Brain Struct Funct. 2022 Jun;227(5):1757-1771. doi: 10.1007/s00429-022-02470-5. Epub 2022 Mar 7.
8
Oscillatory electroencephalographic patterns of arithmetic problem solving in fourth graders.四年级学生解决算术问题的脑电振荡模式。
Sci Rep. 2021 Dec 2;11(1):23278. doi: 10.1038/s41598-021-02789-9.
9
A guide for the use of fNIRS in microcephaly associated to congenital Zika virus infection.先天性寨卡病毒感染相关小头畸形的 fNIRS 使用指南。
Sci Rep. 2021 Sep 29;11(1):19270. doi: 10.1038/s41598-021-97450-w.
10
Monitoring the Cortical Activity of Children and Adults during Cognitive Task Completion.监测儿童和成人在完成认知任务时的皮层活动。
Sensors (Basel). 2021 Sep 8;21(18):6021. doi: 10.3390/s21186021.
算术复杂度增加与儿童的一般领域而非特定领域的数量处理相关:一项同步功能近红外光谱-脑电图研究。
Cogn Affect Behav Neurosci. 2017 Aug;17(4):724-736. doi: 10.3758/s13415-017-0508-x.
4
What does EEG tell us about arithmetic strategies? A review.脑电图能告诉我们关于算术策略的哪些信息?一篇综述。
Int J Psychophysiol. 2016 Aug;106:115-26. doi: 10.1016/j.ijpsycho.2016.05.006. Epub 2016 May 21.
5
Fact learning in complex arithmetic-the role of the angular gyrus revisited.复杂算术运算中的事实学习——重新审视角回的作用
Hum Brain Mapp. 2016 Sep;37(9):3061-79. doi: 10.1002/hbm.23226. Epub 2016 Apr 30.
6
Origins of the brain networks for advanced mathematics in expert mathematicians.专业数学家大脑中高等数学脑网络的起源。
Proc Natl Acad Sci U S A. 2016 May 3;113(18):4909-17. doi: 10.1073/pnas.1603205113. Epub 2016 Apr 11.
7
Contribution of working memory in multiplication fact network in children may shift from verbal to visuo-spatial: a longitudinal investigation.儿童乘法运算事实网络中工作记忆的作用可能从言语转向视觉空间:一项纵向研究。
Front Psychol. 2015 Jul 23;6:1062. doi: 10.3389/fpsyg.2015.01062. eCollection 2015.
8
Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changes.基于脑电图的网络微状态在心算和静息觉醒期间的转换动态反映了与任务相关的调制和发育变化。
Cogn Neurodyn. 2015 Aug;9(4):371-87. doi: 10.1007/s11571-015-9330-8. Epub 2015 Jan 18.
9
Considering structural connectivity in the triple code model of numerical cognition: differential connectivity for magnitude processing and arithmetic facts.在数字认知的三重编码模型中考虑结构连通性:数量处理和算术事实的差异连通性
Brain Struct Funct. 2016 Mar;221(2):979-95. doi: 10.1007/s00429-014-0951-1. Epub 2014 Nov 29.
10
Hippocampal-neocortical functional reorganization underlies children's cognitive development.海马体-新皮质功能重组是儿童认知发展的基础。
Nat Neurosci. 2014 Sep;17(9):1263-9. doi: 10.1038/nn.3788. Epub 2014 Aug 17.