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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: Aug 23, 2025

Optogenetic Functional MRI

Optogenetic Functional MRI

Published on: April 19, 2016

通过计算建模和光遗传fMRI解决大脑电路功能和功能障碍

Jin Hyung Lee^1,2,3,4, Qin Liu¹, Ehsan Dadgar-Kiani^1,2

¹Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.

Science (New York, N.Y.)

|November 3, 2022

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此摘要是机器生成的。

这篇评论探讨了大脑电路模型以了解神经疾病和预测治疗结果. 通过将光遗传功能磁共振成像 (fMRI) 与计算模型相结合,

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

相关实验视频

Last Updated: Aug 23, 2025

Optogenetic Functional MRI

Optogenetic Functional MRI

Published on: April 19, 2016

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

科学领域:

神经科学
计算生物学
系统工程

背景情况:

神经系统疾病涉及整个大脑电路的复杂功能障碍.
了解病理的空间传播机制至关重要.
目前的模型缺乏预测治疗结果的准确性.

研究的目的:

审查目前在神经疾病中模拟大脑功能的方法.
探索了解电路机制的未来方向.
能够预测治疗干预的结果.

主要方法:

将光遗传功能磁共振成像 (fMRI) 与计算建模相结合.
开发特定细胞类型的大型脑电路模型.
量化大脑功能和功能障碍.

主要成果:

新兴的方法允许大规模的大脑电路的定量参数化.
视觉核磁共振和计算模型是关键工具.
在了解细胞类型特定电路功能方面取得了进展.

结论:

系统工程方法可以指导针对性的治疗方法的开发.
恢复大脑功能是未来治疗的可行目标.
综合建模和成像技术对于推进神经疾病研究至关重要.