Literature DB >> 19740616

Voxel-based analysis of white matter during adolescence and young adulthood.

Mingguo Qiu1, Qiyu Li, Guangjiu Liu, Bing Xie, Jiang Wang.   

Abstract

PURPOSE: To evaluate differences in age-related brain white matter by voxel-based analysis of healthy adolescents and young adults.
MATERIALS AND METHODS: Echo-planar diffusion-tensor magnetic resonance (MR) imaging was performed in healthy subjects of 3 groups (aged 11-13, 16-18 and 23-25, respectively). Linear correlative analyses were applied to determining age-related fractional anisotropy (FA) and mean diffusivity (MD), and t-test was performed to compare FA and mean diffusion maps between different age groups.
RESULTS: Significant positive correlation of FA with age was found in the internal capsule, the external capsule, the frontal white matter, and the body and genu of the corpus callosum. Compared with the 11-13 age group, FA in the 16-18 age group increased in the internal capsule, the frontal white matter, the body and the splenium of the corpus callosum. Compared to the 16-18 age group, FA in the 23-25 age group increased in the frontal white matter, the posterior limb of internal capsule, and the genu of the corpus callosum. Statistically significant negative correlation of the mean diffusion with age was found in the frontal and parietal white matter. Compared with the 11-13 age group, MD in the 16-18 age group decreased in the prefrontal and the temporo-parietal white matter. Compared with the 16-18 age group, MD in the 23-25 age group decreased in the frontal white matter.
CONCLUSION: Diffusion-tensor MR imaging results indicate that white matter maturation assessed at different ages involves increases in FA and decreases in mean diffusion of the white matter during adolescence and young adulthood. FA and mean diffusion may reflect different physiologic processes in healthy adolescents and young adults. Taken together, these data show that maturation of white matter is an important part of brain maturation during adolescence and young adulthood. Copyright 2009 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19740616     DOI: 10.1016/j.braindev.2009.08.006

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  8 in total

1.  A comparison of microstructural maturational changes of the corpus callosum in preterm and full-term children: a diffusion tensor imaging study.

Authors:  Hae Min Jo; Hee Kyung Cho; Sung Ho Jang; Sang Seok Yeo; Eunsil Lee; Han Sun Kim; Su Min Son
Journal:  Neuroradiology       Date:  2012-05-06       Impact factor: 2.804

2.  Development of the transcallosal motor fiber from the corticospinal tract in the human brain: diffusion tensor imaging study.

Authors:  Hyeok Gyu Kwon; Su Min Son; Sung Ho Jang
Journal:  Front Hum Neurosci       Date:  2014-03-18       Impact factor: 3.169

Review 3.  Advances in noninvasive myelin imaging.

Authors:  Florence Heath; Samuel A Hurley; Heidi Johansen-Berg; Cassandra Sampaio-Baptista
Journal:  Dev Neurobiol       Date:  2017-11-10       Impact factor: 3.964

4.  White matter structural connectivity and episodic memory in early childhood.

Authors:  Chi T Ngo; Kylie H Alm; Athanasia Metoki; William Hampton; Tracy Riggins; Nora S Newcombe; Ingrid R Olson
Journal:  Dev Cogn Neurosci       Date:  2017-11-16       Impact factor: 6.464

5.  Early-Life Supplementation of Bovine Milk Osteopontin Supports Neurodevelopment and Influences Exploratory Behavior.

Authors:  Sangyun Joung; Joanne E Fil; Anne B Heckmann; Anne S Kvistgaard; Ryan N Dilger
Journal:  Nutrients       Date:  2020-07-24       Impact factor: 5.717

6.  Voxel-based analysis of (201)Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis.

Authors:  Tomoyuki Kuwako; Sunao Mizumura; Ryusuke Murakami; Tamiko Yoshida; Masato Shiiba; Hidetaka Sato; Yoshimitsu Fukushima; Akira Teramoto; Shin-Ichiro Kumita
Journal:  Ann Nucl Med       Date:  2013-04-17       Impact factor: 2.668

7.  Resting state EEG abnormalities in autism spectrum disorders.

Authors:  Jun Wang; Jamie Barstein; Lauren E Ethridge; Matthew W Mosconi; Yukari Takarae; John A Sweeney
Journal:  J Neurodev Disord       Date:  2013-09-16       Impact factor: 4.025

8.  Distribution of tract deficits in schizophrenia.

Authors:  Ian Ellison-Wright; Pradeep J Nathan; Edward T Bullmore; Rashid Zaman; Robert B Dudas; Mark Agius; Emilio Fernandez-Egea; Ulrich Müller; Chris M Dodds; Natalie J Forde; Cathy Scanlon; Alexander Leemans; Colm McDonald; Dara M Cannon
Journal:  BMC Psychiatry       Date:  2014-04-02       Impact factor: 3.630

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.