A pediatric structural MRI analysis of healthy brain development from newborns to young adults.
A pediatric structural MRI analysis of healthy brain development from newborns to young adults.
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DOI：
10.1002/hbm.23799
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发表时间：
2017-12
影响因子：
4.8
通讯作者：
Takahashi E
中科院分区：
文献类型：
--
作者：
Levman J;MacDonald P;Lim AR;Forgeron C;Takahashi E
健康的大脑成熟的评估可以有助于更好地理解大脑生长的自然模式，并对各种神经发育障碍的特征，偏离正常的生长轨迹。结构磁共振成像（MRI）提供了极好的软组织对比度，可以评估发育中大脑中的灰色和白色物质。我们对993例健康受试者（n = 988，年龄0-32岁）在3 T下进行临床成像的儿科结构脑MRI检查进行了大规模回顾性分析，并提取了各种测量值，如白色物质体积、皮质厚度和脑回曲率。检测所有提取的结构生物标志物在成像时与受试者年龄的相关性，提供可能有助于评估神经成熟的测量结果。还进行了其他分析，以评估大脑在不同发育阶段的性别差异，并评估半球不对称性。通过分析临床成像的健康参与者的现实分布，结果添加到文献中，这是一个有用的队列，用于调查和创建各种病理学的诊断测试，作为健康生长轨迹的畸变。下一代诊断测试将负责从健康的临床成像个体群体中识别病理状况。
Assessment of healthy brain maturation can be useful toward better understanding natural patterns of brain growth and toward the characterization of a variety of neurodevelopmental disorders as deviations from normal growth trajectories. Structural magnetic resonance imaging (MRI) provides excellent soft-tissue contrast, which allows for the assessment of gray and white matter in the developing brain. We performed a large-scale retrospective analysis of 993 pediatric structural brain MRI examinations of healthy subjects (n = 988, aged 0–32 years) imaged clinically at 3 T, and extracted a wide variety of measurements such as white matter volumes, cortical thickness, and gyral curvature localized to subregions of the brain. All extracted structural biomarkers were tested for their correlation with subject age at time of imaging, providing measurements that may assist in the assessment of neurological maturation. Additional analyses were also performed to assess gender-based differences in the brain at a variety of developmental stages, and to assess hemispheric asymmetries. Results add to the literature by analyzing a realistic distribution of healthy participants imaged clinically, a useful cohort toward the investigation and creation of diagnostic tests for a variety of pathologies as aberrations from healthy growth trajectories. The next generation of diagnostic tests will be responsible for identifying pathological conditions from populations of healthy clinically imaged individuals.
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DOI：
10.1073/pnas.0402680101
发表时间：
2004-05-25
影响因子：
11.1
作者：
Gogtay, N;Giedd, JN;Thompson, PM
通讯作者：
Thompson, PM
DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.3
作者：
Amunts, Katrin;Armstrong, Este;Zilles, Karl
通讯作者：
Zilles, Karl
影响因子：
2.5
作者：
Foundas, AL;Eure, KF;Weinberger, DR
通讯作者：
Weinberger, DR
影响因子：
5.3
作者：
Ostby, Ylva;Tamnes, Christian K.;Walhovd, Kristine B.
通讯作者：
Walhovd, Kristine B.