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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 Stimulation (TMS).

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相关实验视频

Updated: Jun 8, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

NeuroXiv:以人工智能为动力的开放数据库和动态挖掘整个大脑的神经元形态学.

Shengdian Jiang^1,2, Lijun Wang^1,3, Zhixi Yun^1,2

¹New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.

|April 29, 2025

概括

NeuroXiv是一个新的数据库,包含175,149个神经元形态,与共同坐标框架版本3 (CCFv3) 相映射. 它包括一个人工智能驱动的挖矿引擎 (AIPOM),用于动态数据探索.

更多相关视频

Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

相关实验视频

Last Updated: Jun 8, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

科学领域:

神经科学是一个神经科学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

通过最近的项目,在整个大脑范围内对神经元形态进行了广泛的重建.
需要标准化和可扩展的方法来交互探索这些复杂的数据.

研究的目的:

介绍NeuroXiv,一个大规模的数据库,用于对神经元形态的交互探索.
集成一个人工智能驱动的挖矿引擎 (AIPOM) 用于特定用户的数据挖掘.

主要方法:

175,149个重建的神经元形态的汇编.
将形态结构映射到共同坐标框架版本3 (CCFv3) 中.
开发一个人工智能驱动的挖矿引擎 (AIPOM) 和一个定制客户端程序.

主要成果:

NeuroXiv提供了175,149个神经元形态的集中存储库.
数据库被映射到共同坐标框架版本3 (CCFv3) 进行标准化.
由人工智能驱动的挖矿引擎 (AIPOM) 可实现动态和用户特定的数据检索.

结论:

NeuroXiv提供了一个可扩展和互动的平台,用于探索神经元形态数据.
整合AIPOM增强了神经科学研究的数据挖掘能力.
这个资源有助于更深入地了解神经结构和连接.