Neuroimaging Genetics and Network Analysis in Alzheimer's Disease.

Seok Woo Moon
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Abstract

The issue of the genetics in brain imaging phenotypes serves as a crucial link between two distinct scientific fields: neuroimaging genetics (NG). The articles included here provide solid proof that this NG link has considerable synergy. There is a suitable collection of articles that offer a wide range of viewpoints on how genetic variations affect brain structure and function. They serve as illustrations of several study approaches used in contemporary genetics and neuroscience. Genome-wide association studies and candidate-gene association are two examples of genetic techniques. Cortical gray matter structural/volumetric measures from magnetic resonance imaging (MRI) are sources of information on brain phenotypes. Together, they show how various scientific disciplines have benefited from significant technological advances, such as the single-nucleotide polymorphism array in genetics and the development of increasingly higher-resolution MRI imaging. Moreover, we discuss NG's contribution to expanding our knowledge about the heterogeneity within Alzheimer's disease as well as the benefits of different network analyses.

阿尔茨海默病痴呆的神经影像学遗传学和网络分析。
脑成像表型的遗传学问题是两个不同科学领域之间的关键联系:神经成像遗传学(NG)。本文中的文章提供了确凿的证据,证明这个NG链接具有相当大的协同作用。有一个合适的文章集合,提供了广泛的观点,遗传变异如何影响大脑结构和功能。它们是当代遗传学和神经科学中使用的几种研究方法的例证。全基因组关联研究和候选基因关联是遗传技术的两个例子。来自磁共振成像(MRI)的皮质灰质结构/体积测量是大脑表型信息的来源。总之,他们展示了不同的科学学科是如何从重大的技术进步中受益的,比如遗传学中的单核苷酸多态性阵列和越来越高分辨率的核磁共振成像的发展。此外,我们讨论了神经网络对扩大我们对阿尔茨海默病异质性的认识的贡献,以及不同网络分析的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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