• 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

发展神经科学需要建构主义发展理论。

Constructivist developmental theory is needed in developmental neuroscience.

作者信息

Arsalidou Marie, Pascual-Leone Juan

机构信息

Department of Psychology, National Research University Higher School of Economics, Moscow, Russia.

Department of Psychology, York University, Toronto, ON, Canada.

出版信息

NPJ Sci Learn. 2016 Dec 14;1:16016. doi: 10.1038/npjscilearn.2016.16. eCollection 2016.

DOI:10.1038/npjscilearn.2016.16
PMID:30792899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6380380/
Abstract

Neuroscience techniques provide an open window previously unavailable to the origin of thoughts and actions in children. Developmental cognitive neuroscience is booming, and knowledge from human brain mapping is finding its way into education and pediatric practice. Promises of application in developmental cognitive neuroscience rests however on better theory-guided data interpretation. Massive amounts of neuroimaging data from children are being processed, yet published studies often do not frame their work within developmental models-in detriment, we believe, to progress in this field. Here we describe some core challenges in interpreting the data from developmental cognitive neuroscience, and advocate the use of constructivist developmental theories of human cognition with a neuroscience interpretation.

摘要

神经科学技术为探究儿童思想和行为的起源打开了一扇前所未有的窗口。发展认知神经科学正在蓬勃发展,来自人类脑图谱的知识正逐渐应用于教育和儿科实践。然而,发展认知神经科学的应用前景取决于更好的理论指导下的数据解释。目前正在处理大量来自儿童的神经影像数据,但已发表的研究往往没有将其工作置于发展模型之中——我们认为,这不利于该领域的进展。在此,我们描述了在解释发展认知神经科学数据时面临的一些核心挑战,并提倡运用具有神经科学解释的建构主义人类认知发展理论。

相似文献

1
Constructivist developmental theory is needed in developmental neuroscience.发展神经科学需要建构主义发展理论。
NPJ Sci Learn. 2016 Dec 14;1:16016. doi: 10.1038/npjscilearn.2016.16. eCollection 2016.
2
Toward a Neuroscience of Adult Cognitive Developmental Theory.迈向成人认知发展理论的神经科学
Front Neurosci. 2018 Jan 23;12:4. doi: 10.3389/fnins.2018.00004. eCollection 2018.
3
Towards a more inclusive and equitable developmental cognitive neuroscience.迈向更具包容性和公平性的发展认知神经科学。
Dev Cogn Neurosci. 2021 Dec;52:101014. doi: 10.1016/j.dcn.2021.101014. Epub 2021 Sep 20.
4
Rethinking the cognitive revolution from a neural perspective: how overuse/misuse of the term 'cognition' and the neglect of affective controls in behavioral neuroscience could be delaying progress in understanding the BrainMind.从神经学角度反思认知革命:行为神经科学中过度使用/误用“认知”一词以及忽视情感控制如何可能会延迟对脑-心智理解的进展。
Neurosci Biobehav Rev. 2011 Oct;35(9):2026-35. doi: 10.1016/j.neubiorev.2011.02.008. Epub 2011 Feb 21.
5
Developmental cognitive neuroscience: progress and potential.发展认知神经科学:进展与潜力
Trends Cogn Sci. 2004 Mar;8(3):122-8. doi: 10.1016/j.tics.2004.01.005.
6
Social cognitive neuroscience: a review of core processes.社会认知神经科学:核心过程综述
Annu Rev Psychol. 2007;58:259-89. doi: 10.1146/annurev.psych.58.110405.085654.
7
Editorial Special Topic: Neuroscience, Learning, and Educational Practice-Challenges, Promises, and Applications.社论专题:神经科学、学习与教育实践——挑战、前景与应用
AERA Open. 2018 Jan-Mar;4(1). doi: 10.1177/2332858418756053. Epub 2018 Feb 21.
8
Impressions on the current state of cognitive neuroscience in occupational measurement.对职业测量中认知神经科学现状的印象
Prog Brain Res. 2020;253:123-138. doi: 10.1016/bs.pbr.2020.05.032. Epub 2020 Jul 9.
9
Probabilistic language models in cognitive neuroscience: Promises and pitfalls.认知神经科学中的概率语言模型:前景与挑战。
Neurosci Biobehav Rev. 2017 Dec;83:579-588. doi: 10.1016/j.neubiorev.2017.09.001. Epub 2017 Sep 5.
10
[Time perception and schizophrenia: Phenomenological and neuropsychological approach].[时间感知与精神分裂症:现象学与神经心理学方法]
Encephale. 2015 Sep;41(4 Suppl 1):S56-61. doi: 10.1016/S0013-7006(15)30008-7.

引用本文的文献

1
Effectiveness of a Four-Stage Death Education Model Based on Constructivist Learning Theory for Trainee Nursing Students.基于建构主义学习理论的四阶段死亡教育模式对护理专业实习生的有效性
J Multidiscip Healthc. 2025 Mar 6;18:1371-1380. doi: 10.2147/JMDH.S500169. eCollection 2025.
2
Mapping common and distinct brain correlates among cognitive flexibility tasks: concordant evidence from meta-analyses.认知灵活性任务中常见和独特的大脑关联映射:来自荟萃分析的一致证据。
Brain Imaging Behav. 2025 Feb;19(1):50-71. doi: 10.1007/s11682-024-00921-7. Epub 2024 Oct 29.
3
Brain Active Areas Associated with a Mental Arithmetic Task: An eLORETA Study.

本文引用的文献

1
Why parametric measures are critical for understanding typical and atypical cognitive development.为什么参数化指标对于理解典型和非典型认知发展至关重要。
Brain Imaging Behav. 2017 Aug;11(4):1214-1224. doi: 10.1007/s11682-016-9592-8.
2
Hidden Stages of Cognition Revealed in Patterns of Brain Activation.大脑活动模式揭示认知的隐藏阶段。
Psychol Sci. 2016 Sep;27(9):1215-26. doi: 10.1177/0956797616654912. Epub 2016 Jul 20.
3
Neuropsychology still needs to model organismic processes "from within".神经心理学仍然需要从“内部”模拟机体过程。
与心算任务相关的脑激活区域:一项脑电逆推断层成像研究
Bioengineering (Basel). 2023 Dec 3;10(12):1388. doi: 10.3390/bioengineering10121388.
4
The two-faced process of learning and the importance of Janus-faced solutions.学习的双面过程与双面解决方案的重要性。
NPJ Sci Learn. 2023 Dec 14;8(1):58. doi: 10.1038/s41539-023-00210-w.
5
Spatial migration of human reward processing with functional development: Evidence from quantitative meta-analyses.人类奖励处理功能发展的空间迁移:来自定量元分析的证据。
Hum Brain Mapp. 2020 Oct 1;41(14):3993-4009. doi: 10.1002/hbm.25103. Epub 2020 Jul 7.
6
The association of grey matter volume and cortical complexity with individual differences in children's arithmetic fluency.灰质体积和皮质复杂度与儿童算术流畅性个体差异的关联。
Neuropsychologia. 2020 Feb 3;137:107293. doi: 10.1016/j.neuropsychologia.2019.107293. Epub 2019 Dec 3.
7
Dissociations of cognitive inhibition, response inhibition, and emotional interference: Voxelwise ALE meta-analyses of fMRI studies.认知抑制、反应抑制和情绪干扰的分离:fMRI 研究的体素水平 ALE 荟萃分析。
Hum Brain Mapp. 2018 Oct;39(10):4065-4082. doi: 10.1002/hbm.24232. Epub 2018 Jun 19.
8
Brain responses to social norms: Meta-analyses of fMRI studies.大脑对社会规范的反应:fMRI 研究的元分析。
Hum Brain Mapp. 2018 Feb;39(2):955-970. doi: 10.1002/hbm.23895. Epub 2017 Nov 21.
9
Latent Factors in Attention Emerge from 9 Years of Age among Elementary School Children.小学儿童注意力的潜在因素从9岁开始显现。
Front Psychol. 2017 Oct 5;8:1725. doi: 10.3389/fpsyg.2017.01725. eCollection 2017.
10
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.
Behav Brain Sci. 2015;38:e83. doi: 10.1017/S0140525X14000983.
4
Fuzzy-Trace Theory and Lifespan Cognitive Development.模糊痕迹理论与毕生认知发展
Dev Rev. 2015 Dec 1;38:89-121. doi: 10.1016/j.dr.2015.07.006.
5
Working memory training: from metaphors to models.工作记忆训练:从隐喻到模型
Front Psychol. 2015 Aug 3;6:1097. doi: 10.3389/fpsyg.2015.01097. eCollection 2015.
6
As Working Memory Grows: A Developmental Account of Neural Bases of Working Memory Capacity in 5- to 8-Year Old Children and Adults.随着工作记忆的发展:5至8岁儿童及成人工作记忆容量神经基础的发展性描述
J Cogn Neurosci. 2015 Sep;27(9):1775-88. doi: 10.1162/jocn_a_00824. Epub 2015 May 11.
7
The developing brain in a multitasking world.多任务世界中的发育大脑。
Dev Rev. 2015 Mar 1;35:42-63. doi: 10.1016/j.dr.2014.12.006.
8
Embedding cognizance in intellectual development.将认知融入智力发展。
J Exp Child Psychol. 2015 Apr;132:32-50. doi: 10.1016/j.jecp.2014.12.003. Epub 2015 Jan 12.
9
A new intuitionism: Meaning, memory, and development in Fuzzy-Trace Theory.一种新的直觉主义:模糊痕迹理论中的意义、记忆与发展
Judgm Decis Mak. 2012 May;7(3):332-359.
10
Structural maturation and brain activity predict future working memory capacity during childhood development.结构成熟度和大脑活动可预测儿童发育过程中的未来工作记忆容量。
J Neurosci. 2014 Jan 29;34(5):1592-8. doi: 10.1523/JNEUROSCI.0842-13.2014.