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静态fMRI复杂性的遗传性和结构相关性

Yi Zhen¹, Yaqian Yang¹, Yi Zheng¹

¹School of Mathematical Sciences, Beihang University, Beijing 100191, China; Key laboratory of Mathematics, Informatics and Behavioral Semantics, Beihang University, Beijing 100191, China.

|May 29, 2024

概括

休息状态fMRI复杂性是遗传的,与大脑结构有关. 这一发现支持其作为精神疾病潜在生物标志物的使用.

科学领域:

神经科学是一个神经科学.
遗传学是一个遗传学.
脑部成像脑部成像

背景情况:

休息状态功能磁共振成像 (fMRI) 复杂性揭示了神经活动动态.
人们对fMRI复杂性的遗传性和结构联系的了解很少.
了解这些因素对于认知和精神病学研究至关重要.

研究的目的:

为了研究fMRI复杂性的遗传性.
探索fMRI复杂性和大脑结构特征之间的关系.
评估fMRI复杂性的潜力,作为精神疾病的内类型.

主要方法:

利用多尺度样本来量化静态fMRI复杂性.
分析了来自大量健康成年人样本的数据 (人类结合体项目).
相关的fMRI复杂性与大脑结构测量 (表面积,髓化,厚度,体积).

主要成果:

fMRI复杂性在宽大脑区域中具有遗传性,估计值适度且可变.
皮层表面积与微量级复杂性反向相关,与粗量级复杂性直接相关.
在不同的尺度上,皮质髓化与fMRI复杂性呈现复杂的相关性.
发现与皮层下体积有显著的关联,但不是总脑体积或皮层厚度.

结论:

建立了静止状态fMRI复杂性的遗传基础.
在多个尺度上确定了fMRI复杂性的关键结构相关物.
支持fMRI复杂性的实用性,作为精神疾病潜在的内类型.

关键词:

复杂性复杂性的遗传性遗传性是可以继承的.多个尺度的.休息状态的fMRI.结构基础结构基础

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Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...