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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Updated: Jul 26, 2025

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

非编码转录与非人类灵长类动物的大脑休息状态活动有关.

Wei Wang¹, Tingting Bo², Ge Zhang³

¹CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

|June 19, 2023

概括

非编码基因与的休息状态大脑活动相关,类似于蛋白质编码基因. 这些非编码基因与大脑细胞功能和神经系统疾病 (如自闭症和精神分裂症) 有关.

关键词:

科普:神经科学是什么意思自闭症自闭症是什么非人类的灵长类灵长类动物.没有编码的RNA.一个小分子基细胞.静止状态活动活动的静止状态.

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

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Published on: March 21, 2019

相关实验视频

Last Updated: Jul 26, 2025

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

科学领域:

神经科学是一个神经科学.
基因组学就是基因组学.
分子生物学分子生物学

背景情况:

大脑衍生转录组与人类的休息状态大脑活动相关.
转录组与非人类灵长类动物的静止状态活动之间的关联尚未得到充分理解.

研究的目的:

为了研究的皮层区域中静止状态大脑活动的分子相关性.
为了确定非编码基因是否有助于静止状态活动的变化.

主要方法:

整合了来自100个皮层区域的757个子转录组与静止状态活动数据.
对非编码基因表达和共同表达网络的分析.
与人类休息状态功能基因和与疾病相关的基因进行比较.

主要成果:

150个非编码基因解释了与蛋白质编码基因相比的静止状态活性变异.
非编码基因与寡类细胞功能和与自闭症和精神分裂症风险基因相关的模块有关.
与非编码静止状态基因相关的基因被人类静止状态功能和记忆效应基因丰富.
在自闭症大脑中观察到非编码基因和静止状态功能磁共振成像 (fMRI) 信号之间的改变联系.

结论:

非编码基因,特别是非编码RNA,在解释非人类灵长类动物休息状态大脑活动方面发挥着重要作用.
这些发现表明,潜在的非编码RNA参与神经系统疾病和认知功能.