Improving the characterization of activity in white matter systems: links within distributed neural networks

改善白质系统活动的表征：分布式神经网络内的链接

• 批准号: RGPIN-2015-04961
• 负责人: DArcy, Ryan
• 金额: $ 2.91万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=630144
• 关键词: Improving; characterization; activity; white; matter

Understanding how the brain works is a rapidly advancing area of science and technology. The growing scientific and public interest in brain imaging advances makes perfect sense when considering that our most prized higher-level mental functions, like language and memory, rely on finely tuned, complex processing of brain circuits. These brain circuits exist as distributed networks that are dynamically activated as information is processed. In recent years, there have been major technological advances in our ability to non-invasively peer inside the brain and watch aspects of these networks process information – to visualize our brain at work as “activation.” But, what does this activation mean?

了解大脑是如何工作的是一个快速发展的科学和技术领域。考虑到我们最珍贵的高级心理功能，如语言和记忆，依赖于大脑回路的精细调整和复杂处理，科学和公众对大脑成像进展的兴趣日益增长是完全有道理的。这些大脑回路以分布式网络的形式存在，随着信息的处理而动态激活。近年来，我们在非侵入性地窥视大脑内部并观察这些网络处理信息的各个方面的能力方面取得了重大的技术进步-将我们的大脑工作可视化为“激活”。但是，这种激活意味着什么？