儿童时期的大脑发育。

Q4 Medicine
Open Neuroimaging Journal Pub Date : 2012-01-01 Epub Date: 2012-11-14 DOI:10.2174/1874440001206010103
Yasuyuki Taki, Ryuta Kawashima
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引用次数: 16

摘要

尽管人类大脑的发育贯穿整个童年和青春期,但它在结构和功能上都是一个非线性的过程。本文从结构和灰质和白质灌注的角度综述了健康儿童大脑发育的研究进展。随着年龄的增长,灰质体积先增加后减少,不同脑区在生命的前20年和后20年达到峰值的发育时间不同。另一方面,在这些时期,白质体积的增加基本上是线性的。在分数各向异性方面,大部分区域随年龄增长呈指数轨迹。此外,在相似的发育年龄,脑血流量和灰质体积成正比。此外,我们表明,几种生活方式的选择,如睡眠习惯和早餐主食,会影响健康儿童的灰质体积。有许多尚未调查的重要问题需要未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Brain development in childhood.

Brain development in childhood.

Brain development in childhood.

Brain development in childhood.

Although human brain development continues throughout childhood and adolescence, it is a non-linear process both structurally and functionally. Here we review studies of brain development in healthy children from the viewpoint of structure and the perfusion of gray and white matter. Gray matter volume increases and then decreases with age, with the developmental time of the peak volume differing among brain regions in the first and second decades of life. On the other hand, white matter volume increase is mostly linear during those periods. As regards fractional anisotropy, most regions show an exponential trajectory with aging. In addition, cerebral blood flow and gray matter volume are proportional at similar developmental ages. Moreover, we show that several lifestyle choices, such as sleeping habits and breakfast staple, affect gray matter volume in healthy children. There are a number of uninvestigated important issues that require future study.

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来源期刊
Open Neuroimaging Journal
Open Neuroimaging Journal Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
0.70
自引率
0.00%
发文量
3
期刊介绍: The Open Neuroimaging Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, and letters in all important areas of brain function, structure and organization including neuroimaging, neuroradiology, analysis methods, functional MRI acquisition and physics, brain mapping, macroscopic level of brain organization, computational modeling and analysis, structure-function and brain-behavior relationships, anatomy and physiology, psychiatric diseases and disorders of the nervous system, use of imaging to the understanding of brain pathology and brain abnormalities, cognition and aging, social neuroscience, sensorimotor processing, communication and learning.
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