• 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

脑发育的个体差异建模。

Modeling Individual Differences in Brain Development.

机构信息

Brain and Development Research Center, Developmental and Educational Psychology Unit, Leiden University, Leiden; Adolescent Development Research Center, Utrecht University, Utrecht, the Netherlands; Department of Psychology, Education and Child Studies, Erasmus University, Rotterdam, the Netherlands.

Department of Psychology, University of Oregon, Eugene, Oregon.

出版信息

Biol Psychiatry. 2020 Jul 1;88(1):63-69. doi: 10.1016/j.biopsych.2020.01.027. Epub 2020 Feb 11.

DOI:10.1016/j.biopsych.2020.01.027
PMID:32245576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7305975/
Abstract

Within the field of developmental cognitive neuroscience, there is an increasing interest in studying individual differences in human brain development in order to predict mental health outcomes. So far, however, most longitudinal neuroimaging studies focus on group-level estimates. In this review, we highlight longitudinal neuroimaging studies that have moved beyond group-level estimates to illustrate the heterogeneity in patterns of brain development. We provide practical methodological recommendations on how longitudinal neuroimaging datasets can be used to understand heterogeneity in human brain development. Finally, we address how taking an individual-differences approach in developmental neuroimaging studies could advance our understanding of why some individuals develop mental health disorders.

摘要

在发展认知神经科学领域,人们越来越感兴趣于研究人类大脑发育的个体差异,以预测心理健康结果。然而,到目前为止,大多数纵向神经影像学研究都集中在群体水平的估计上。在这篇综述中,我们强调了超越群体水平估计的纵向神经影像学研究,以说明大脑发育模式的异质性。我们提供了关于如何使用纵向神经影像学数据集来理解人类大脑发育异质性的实用方法建议。最后,我们探讨了在发展神经影像学研究中采用个体差异方法如何增进我们对为什么一些人会发展出心理健康障碍的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/7305975/42e226c1b290/nihms-1559427-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/7305975/0716eee0c7f9/nihms-1559427-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/7305975/acf376838ef3/nihms-1559427-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/7305975/42e226c1b290/nihms-1559427-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/7305975/0716eee0c7f9/nihms-1559427-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/7305975/acf376838ef3/nihms-1559427-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/7305975/42e226c1b290/nihms-1559427-f0003.jpg

相似文献

1
Modeling Individual Differences in Brain Development.脑发育的个体差异建模。
Biol Psychiatry. 2020 Jul 1;88(1):63-69. doi: 10.1016/j.biopsych.2020.01.027. Epub 2020 Feb 11.
2
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.基于神经影像学的精神障碍和健康认知与行为的个体化预测:方法与前景。
Biol Psychiatry. 2020 Dec 1;88(11):818-828. doi: 10.1016/j.biopsych.2020.02.016. Epub 2020 Feb 27.
3
Profiling intra- and inter-individual differences in brain development across early adolescence.探究青少年早期大脑发育的个体内和个体间差异。
Neuroimage. 2023 Oct 1;279:120287. doi: 10.1016/j.neuroimage.2023.120287. Epub 2023 Aug 1.
4
A Reckoning and Research Agenda for Neuroimaging in Psychiatry.精神医学神经影像学的反思与研究议程
Am J Psychiatry. 2019 Jul 1;176(7):507-511. doi: 10.1176/appi.ajp.2019.19050521.
5
Studying individual differences in human adolescent brain development.研究人类青少年大脑发育的个体差异。
Nat Neurosci. 2018 Mar;21(3):315-323. doi: 10.1038/s41593-018-0078-4. Epub 2018 Feb 5.
6
Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders.神经影像学荟萃分析用于神经精神障碍的实用建议。
Hum Brain Mapp. 2019 Dec 1;40(17):5142-5154. doi: 10.1002/hbm.24746. Epub 2019 Aug 4.
7
Understanding Heterogeneity in Autism Spectrum Disorder: A Methodological Shift in Neuroimaging Research From Investigating Group Differences to Individual Differences.理解自闭症谱系障碍中的异质性:神经影像学研究方法从调查群体差异到个体差异的转变。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 Aug;6(8):762-764. doi: 10.1016/j.bpsc.2021.04.004.
8
Sex is a defining feature of neuroimaging phenotypes in major brain disorders.性别是重大脑疾病神经影像学表型的一个决定性特征。
Hum Brain Mapp. 2022 Jan;43(1):500-542. doi: 10.1002/hbm.25438. Epub 2021 May 5.
9
Healthy minds 0-100 years: Optimising the use of European brain imaging cohorts ("Lifebrain").健康大脑 0-100 年:优化欧洲脑成像队列的使用(“生命大脑”)。
Eur Psychiatry. 2018 Apr;50:47-56. doi: 10.1016/j.eurpsy.2017.12.006. Epub 2018 Feb 12.
10
Functional neuroimaging in psychiatry.精神病学中的功能性神经影像学。
Philos Trans R Soc Lond B Biol Sci. 1999 Jul 29;354(1387):1359-70. doi: 10.1098/rstb.1999.0484.

引用本文的文献

1
Addressing artifactual bias in large, automated MRI analyses of brain development.解决大脑发育大型自动化磁共振成像分析中的人为偏差问题。
Nat Neurosci. 2025 Jul 1. doi: 10.1038/s41593-025-01990-7.
2
Revealing morphological fingerprints in perinatal brains using quasi-conformal mapping: occurrence and neurodevelopmental implications.使用拟共形映射揭示围产期大脑中的形态学特征:发生情况及对神经发育的影响
Brain Imaging Behav. 2025 Mar 27. doi: 10.1007/s11682-025-00998-8.
3
Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment.

本文引用的文献

1
Neurocognitive and functional heterogeneity in depressed youth.抑郁青少年的神经认知和功能异质性。
Neuropsychopharmacology. 2021 Mar;46(4):783-790. doi: 10.1038/s41386-020-00871-w. Epub 2020 Oct 2.
2
Conceptualizing mental disorders as deviations from normative functioning.将精神障碍概念化为偏离正常功能。
Mol Psychiatry. 2019 Oct;24(10):1415-1424. doi: 10.1038/s41380-019-0441-1. Epub 2019 Jun 14.
3
The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes.异质性问题:识别精神科亚型的方法。
测量和解读胎儿、婴儿及幼儿神经发育的个体差异。
Dev Cogn Neurosci. 2025 Mar 1;73:101539. doi: 10.1016/j.dcn.2025.101539.
4
Regional patterns of human cortex development correlate with underlying neurobiology.人类皮质发育的区域模式与潜在的神经生物学相关。
Nat Commun. 2024 Sep 12;15(1):7987. doi: 10.1038/s41467-024-52366-7.
5
Bouncing back: a longitudinal examination of challenge within football academy environments.东山再起:对足球青训营环境中挑战的纵向考察
Front Sports Act Living. 2024 Jul 4;6:1402570. doi: 10.3389/fspor.2024.1402570. eCollection 2024.
6
Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence.结构连接组结构塑造了从童年到青春期皮质形态的成熟过程。
Nat Commun. 2024 Jan 26;15(1):784. doi: 10.1038/s41467-024-44863-6.
7
Profiling intra- and inter-individual differences in brain development across early adolescence.探究青少年早期大脑发育的个体内和个体间差异。
Neuroimage. 2023 Oct 1;279:120287. doi: 10.1016/j.neuroimage.2023.120287. Epub 2023 Aug 1.
8
The Hitchhiker's guide to longitudinal models: A primer on model selection for repeated-measures methods.《漫游者指南:重复测量方法的模型选择基础》
Dev Cogn Neurosci. 2023 Oct;63:101281. doi: 10.1016/j.dcn.2023.101281. Epub 2023 Jul 26.
9
Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents.身体症状与大脑形态:12286 名青春期前儿童的人群神经影像学研究。
Transl Psychiatry. 2023 Jul 12;13(1):254. doi: 10.1038/s41398-023-02528-w.
10
Regional patterns of human cortex development correlate with underlying neurobiology.人类皮质发育的区域模式与潜在神经生物学相关。
bioRxiv. 2024 Aug 10:2023.05.05.539537. doi: 10.1101/2023.05.05.539537.
Trends Cogn Sci. 2019 Jul;23(7):584-601. doi: 10.1016/j.tics.2019.03.009. Epub 2019 May 29.
4
Developmental Maturation of the Precuneus as a Functional Core of the Default Mode Network.顶下小叶的发育成熟作为默认模式网络的功能核心。
J Cogn Neurosci. 2019 Oct;31(10):1506-1519. doi: 10.1162/jocn_a_01426. Epub 2019 May 21.
5
A three-wave longitudinal study of subcortical-cortical resting-state connectivity in adolescence: Testing age- and puberty-related changes.一项青少年皮质下-皮质静息态连接的三波纵向研究:测试与年龄和青春期相关的变化。
Hum Brain Mapp. 2019 Sep;40(13):3769-3783. doi: 10.1002/hbm.24630. Epub 2019 May 17.
6
Individual differences in functional brain connectivity predict temporal discounting preference in the transition to adolescence.个体功能性脑连接差异可预测青春期转折期的时间折扣偏好。
Dev Cogn Neurosci. 2018 Nov;34:101-113. doi: 10.1016/j.dcn.2018.07.003. Epub 2018 Jul 30.
7
Longitudinal development of hippocampal subregions from childhood to adulthood.从儿童期到成年期海马亚区的纵向发展。
Dev Cogn Neurosci. 2018 Apr;30:212-222. doi: 10.1016/j.dcn.2018.03.009. Epub 2018 Mar 22.
8
The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites.青少年大脑认知发展 (ABCD) 研究:21 个地点的影像采集。
Dev Cogn Neurosci. 2018 Aug;32:43-54. doi: 10.1016/j.dcn.2018.03.001. Epub 2018 Mar 14.
9
Goal-Directed Correlates and Neurobiological Underpinnings of Adolescent Identity: A Multimethod Multisample Longitudinal Approach.青少年身份认同的目标导向相关因素和神经生物学基础:一种多方法多样本纵向研究方法。
Child Dev. 2018 May;89(3):823-836. doi: 10.1111/cdev.13048. Epub 2018 Mar 8.
10
The Myth of Optimality in Clinical Neuroscience.临床神经科学中的最优性神话。
Trends Cogn Sci. 2018 Mar;22(3):241-257. doi: 10.1016/j.tics.2017.12.006. Epub 2018 Feb 20.