The development of MEG source reconstruction methods through models of human retinotopy

通过人类视网膜病变模型开发 MEG 源重建方法

• 批准号: EP/D039460/1
• 负责人: Gareth Barnes
• 金额: $ 13.21万
• 依托单位: Aston University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD039460%2F1
• 关键词: development; MEG; source; reconstruction; methods

Magnetoencephalography (MEG) is a brain scanning technique which allows one to make estimates of electrical activity in the human brain as it changes over milli-seconds. The technique has many advantages- it involves simply putting your head in a helmet, is extremely sensitive and has no adverse effects. The one major disadvange however is that we do not have all the information we need. That is, in order to say precisely where activity is taking place you have to make a guess about what is likely to be happening. It is the same problem we solve automatically when we go to the cinema. We only have two dimensions of information (the flat screen), and from that we make estimates of a three dimensional scene (a room with people in it). We are able to do this because we know things about the world, like the way shadows fall, and that people are all more or less the same size. The problem with imaging the brain of course is that we don't know much about it. We have been lucky however and found a rule that seems to give us reasonable brain images. This rule is that no two areas of the brain should be doing the same thing at the same time. In this grant we want to slightly change this rule and see what kind of an effect it has on our brain images. For example, we 'd like to allow bits of the brain that are right next to one another to do more or less the same thing. If the images get better (and we can judge this because we have other scanners that are slower but don't rely on a rule set) then we are on the right track. We will know more about how the brain works, and we will be able to produce millisecond by millisecond images of the brain working.

脑磁图（Magnetoencephalography，MEG）是一种大脑扫描技术，它允许人们对人脑中的电活动进行估计，因为它在毫秒内发生变化。这项技术有很多优点-它只需要把你的头放在头盔里，非常敏感，没有任何不良影响。然而，一个主要的缺点是，我们没有我们需要的所有信息。也就是说，为了准确地说出活动在哪里发生，你必须对可能发生的事情进行猜测。这和我们去电影院时自动解决的问题是一样的。我们只有二维的信息（平面屏幕），并从那里我们对三维场景（一个房间里的人）进行估计。我们之所以能够做到这一点，是因为我们了解这个世界，比如阴影落下的方式，以及人们或多或少都是一样的大小。当然，大脑成像的问题在于我们对它知之甚少，然而我们很幸运地发现了一条规则，似乎可以给我们合理的大脑图像。这条规则是大脑的两个区域不应该在同一时间做同样的事情。在这项研究中，我们想稍微改变一下这条规则，看看它对我们的大脑图像有什么影响。例如，我们想让大脑中相邻的部分或多或少地做同样的事情。如果图像变得更好（我们可以判断这一点，因为我们有其他扫描仪较慢，但不依赖于规则集），那么我们就走在正确的道路上。我们将更多地了解大脑是如何工作的，我们将能够产生一毫秒一毫秒的大脑工作图像。