 So first I will give a brief introduction about what is Bledman atlas. So in fact for atlas there are a lot of studies based on different information. For example, Eubring and Broadway atlas based on the satellite architecture. But here the Bledman atlas is based on the connectivity profile, especially based on the anatomical connectivity profile. So as you know different atlas based on different information. But if we just pass it to one region maybe we can get the same result. So here we just try to address these kind of issues. Why? So you use different technology but we can get the same result. So for example here I show you two examples. So for this kind of areas so far based on the satellite architecture so cannot pass it into sub regions. So for example based on the connectivity profile because this area is with the homogenous satellite architecture. So this is very difficult if we want to pass it based on the satellite architecture. But with connectivity profile, functional connectivity or atopic connectivity we can pass it into at least three different parts. So another very important thing for the connectivity Bledman atlas based on the connectivity profile is that we can provide you final topography. We can also provide you connectivity information for example anatomical connectivity or functional connectivity. So another example is for the front pole. So this is also with homogenous satellite architecture. So far we cannot find the pass station based on the satellite architecture but we can also pass it into three different parts. So in fact we also if some regions can pass it with satellite architecture also with the connectivity profile we find all the result is the same. Here just to show you one example for the block areas. So if we can pass it with two different information so we find the result have a very good correspondence. So now we move to the core question in this lecture. So in fact we can pass it with one region with different information. I mean for example satellite architecture, anatomical connectivity profile and some other information. So why? So we think this is a kind of maybe interesting thing so for the critical pattern. So then we try to address this issue. So with a lot of very different technology of course there are some kind of training studies. So these strategies we cannot use the connectivity profile we cannot use the satellite architecture but we just use the geological correlation. So then we try to pass it with the same regions. So we find use this kind of technology. We can also got just the same result very similar. At least from the topographies for example here just to show you for representing regions this one, this one, and this one, and this one. All these kind of regions have passed based on the satellite architecture by based on the connectivity profile. So all the result is the same. So more importantly especially for primary motor cortex they have a very good functional correspondence. For example here is the result based on just the geological correlation. So the result is here. So we have a very good correspondence with the functions. So in fact for to further evaluate this method we also do the correlation between the metrics got by the geological correlation and also functional connectivity metrics. So these two metrics have a very good correlation. So from here you will find based on the different technology we can go to the same result. So maybe this kind of thing especially for cortical pattern is a kind of interesting thing. So if the technology is good so you should find the same result. So now in fact for the plant patterns we pass it to the whole brain. The cortical and sub-cortical into 252 different parts. Each part has a very good biologic mechanism. So in summary for the plant patterns we have three different features. One it is the u-wave wall and also it provides the final gain in topography and also we can provide the functional connectivity and the anatomical connectivity. So in fact we also provide you with software for more information just from here. So this is a software just to show you how to use the plant patterns. So this is a summary for these studies. So first I show you the geological ratio of cortical surface areas operated by the twin analysis can be used to identify the functional sub-regions. And the geological ratio can also unravel the population-based fundamental patterns of corticals and of the interregions connectivity. And I think this is also very important for understanding of the geological basis of cortical patterns to provide some kind of validations for bradymatilase maybe also some other atlas. So in fact this study was done by cooperating between the different institutions. Thank you.