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本文引用的文献

1
The contributions of resting state and task-based functional connectivity studies to our understanding of adolescent brain network maturation.静息态和基于任务的功能连接性研究对我们理解青少年脑网络成熟的贡献。
Neurosci Biobehav Rev. 2016 Nov;70:13-32. doi: 10.1016/j.neubiorev.2016.07.027. Epub 2016 Aug 5.
2
The role of experience in adolescent cognitive development: Integration of executive, memory, and mesolimbic systems.经验在青少年认知发展中的作用:执行、记忆和中脑边缘系统的整合。
Neurosci Biobehav Rev. 2016 Nov;70:46-58. doi: 10.1016/j.neubiorev.2016.07.034. Epub 2016 Jul 28.
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GABAergic Function as a Limiting Factor for Prefrontal Maturation during Adolescence.γ-氨基丁酸能功能作为青少年期前额叶成熟的限制因素
Trends Neurosci. 2016 Jul;39(7):441-448. doi: 10.1016/j.tins.2016.04.010. Epub 2016 May 24.
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Synaptic pruning in the female hippocampus is triggered at puberty by extrasynaptic GABAA receptors on dendritic spines.女性海马体中的突触修剪是由树突棘上的突触外 GABAA 受体在青春期触发的。
Elife. 2016 May 2;5:e15106. doi: 10.7554/eLife.15106.
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Rhythms of the hippocampal network.海马体网络的节律
Nat Rev Neurosci. 2016 Apr;17(4):239-49. doi: 10.1038/nrn.2016.21. Epub 2016 Mar 10.
6
Beyond simple models of adolescence to an integrated circuit-based account: A commentary.超越青春期的简单模型,转向基于集成电路的解释:一篇评论。
Dev Cogn Neurosci. 2016 Feb;17:128-30. doi: 10.1016/j.dcn.2015.12.006. Epub 2015 Dec 17.
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The Contribution of Network Organization and Integration to the Development of Cognitive Control.网络组织与整合对认知控制发展的贡献
PLoS Biol. 2015 Dec 29;13(12):e1002328. doi: 10.1371/journal.pbio.1002328. eCollection 2015 Dec.
8
Changes in white matter microstructure in the developing brain--A longitudinal diffusion tensor imaging study of children from 4 to 11years of age.发育中大脑白质微结构的变化——一项对4至11岁儿童的纵向扩散张量成像研究。
Neuroimage. 2016 Jan 1;124(Pt A):473-486. doi: 10.1016/j.neuroimage.2015.09.017. Epub 2015 Sep 12.
9
The human hippocampus is not sexually-dimorphic: Meta-analysis of structural MRI volumes.人类海马体没有性别二态性:结构磁共振成像体积的荟萃分析。
Neuroimage. 2016 Jan 1;124(Pt A):350-366. doi: 10.1016/j.neuroimage.2015.08.050. Epub 2015 Aug 31.
10
Toward Understanding How Early-Life Stress Reprograms Cognitive and Emotional Brain Networks.迈向理解早期生活压力如何重新编程认知和情感脑网络。
Neuropsychopharmacology. 2016 Jan;41(1):197-206. doi: 10.1038/npp.2015.181. Epub 2015 Jun 24.

青少年时期的网络专业化:男孩和女孩的海马体有效连接。

Network specialization during adolescence: Hippocampal effective connectivity in boys and girls.

机构信息

Department of Neurology, University of California Irvine, USA.

Department of Anatomy & Neurobiology, University of California Irvine, USA.

出版信息

Neuroimage. 2018 Jul 15;175:402-412. doi: 10.1016/j.neuroimage.2018.04.013. Epub 2018 Apr 9.

DOI:10.1016/j.neuroimage.2018.04.013
PMID:29649560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5978413/
Abstract

Adolescence is a complex period of concurrent mental and physical development that facilitates adult functioning at multiple levels. Despite the growing number of neuroimaging studies of cognitive development in adolescence focusing on regional activation patterns, there remains a paucity of information about the functional interactions across these participating regions that are critical for cognitive functioning, including memory. The current study used structural equation modeling (SEM) to determine how interactions among brain regions critical for memory change over the course of adolescence. We obtained functional MRI in 77 individuals aged 8-16 years old, divided into younger (ages 8-10) and older (ages > 11) cohorts, using an incidental encoding memory task to activate hippocampus formation and associated brain networks, as well as behavioral data on memory function. SEM was performed on the imaging data for four groups (younger girls, younger boys, older girls, and older boys) that were subsequently compared using a stacked model approach. Significant differences were seen between the models for these groups. Younger boys had a predominantly posterior distribution of connections originating in primary visual regions and terminating on multi-modal processing regions. In older boys, there was a relatively greater anterior connection distribution, with increased effective connectivity within association and multi-modal processing regions. Connection patterns in younger girls were similar to those of older boys, with a generally anterior-posterior distributed network among sensory, multi-modal, and limbic regions. In contrast, connections in older girls were widely distributed but relatively weaker. Memory performance increased with age, without a significant difference between the sexes. These findings suggest a progressive reorganization among brain regions, with a commensurate increase in efficiency of cognitive functioning, from younger to older individuals in both girls and boys, providing insight into the age- and gender-specific processes at play during this critical transition period.

摘要

青春期是一个身心同步发展的复杂时期,为成年后的多个层面的功能奠定基础。尽管越来越多的神经影像学研究关注青少年认知发展的区域激活模式,但对于这些参与区域之间对于认知功能至关重要的功能相互作用,包括记忆,仍缺乏信息。本研究使用结构方程模型(SEM)来确定在青春期过程中,对于记忆至关重要的大脑区域之间的相互作用如何变化。我们对 77 名年龄在 8-16 岁的个体进行了功能磁共振成像,将他们分为年龄较小(8-10 岁)和年龄较大(年龄大于 11 岁)的两组,使用偶然编码记忆任务来激活海马体形成和相关的大脑网络,以及记忆功能的行为数据。我们对四个组(年龄较小的女孩、年龄较小的男孩、年龄较大的女孩和年龄较大的男孩)的影像数据进行了 SEM 分析,然后使用堆叠模型方法对这些组进行了比较。这些模型之间存在显著差异。年龄较小的男孩的连接主要来自初级视觉区域,并终止于多模态处理区域,其分布主要在后侧。年龄较大的男孩的连接分布相对靠前,在关联和多模态处理区域内的有效连接增加。年龄较小的女孩的连接模式与年龄较大的男孩相似,在感觉、多模态和边缘区域之间存在一个大致从前到后的网络。相比之下,年龄较大的女孩的连接分布广泛但相对较弱。记忆表现随年龄增长而提高,且性别之间无显著差异。这些发现表明,在女孩和男孩中,从年龄较小的个体到年龄较大的个体,大脑区域之间存在着一种逐渐的重组,认知功能的效率也相应提高,为理解这一关键过渡时期发挥作用的年龄和性别特定过程提供了线索。