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相关概念视频

Brain Imaging01:14

Brain Imaging

225
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...
225

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相关实验视频

Updated: Jun 23, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K

脑TACO:一个可探索的多级多模式大脑转录和连接数据资源.

Florian Ganglberger1,2, Dominic Kargl3, Markus Töpfer1

  • 1Biomedical Image Informatics, VRVis Research Center, Vienna, Austria.

Communications biology
|June 14, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了BrainTACO,这是一个新的资源,集成了各种大脑数据,以加速基因电路的探索. 它使科学家能够更有效地识别大脑连接和失联现象的遗传驱动因素.

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Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses

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Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level
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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.
  • 基因组学就是基因组学.

背景情况:

  • 分析基因-大脑电路关系需要整合异质数据集 (3D成像,解剖学,网络数据).
  • 现有的平台缺乏全面的整合和探索工具,用于多规模的,多模式的神经生物学数据.
  • 跨越规模和模式需要将数据融合到一个共同的空间和有效的可视化.

研究的目的:

  • 介绍大脑转录和连接数据 (BrainTACO) 资源,以加速对基因-大脑电路关系的探索.
  • 为整合和可视化多样化,多尺度的神经生物学数据提供一个平台.
  • 促进识别大脑连接和失联现象型的遗传驱动因素.

主要方法:

  • 开发了BrainTACO,这是一个空间映射的资源,异质的神经生物学数据放在一个共同的等级参考空间上.
  • 扩展了BrainTrawler基于Web的视觉分析框架,使用比较可视化.
  • 实施了一个整体的数据整合方案,以合并多种规模,多种模式的数据.

主要成果:

  • 脑TACO为脑网络的基因表达剖析提供了前所未有的覆盖范围.
  • 能够识别小鼠和人类连接的潜在遗传驱动因素.
  • 通过将基因与大脑网络联系起来,促进了失联现象的发现.

结论:

  • BrainTACO显著减少了用于计算神经科学分析的手动数据聚合时间.
  • 该资源支持神经科学家,允许直接利用数据进行准备.
  • BrainTACO推进了用于大脑研究的转录和连接数据的综合分析.