cg
diff grant.txt @ 33:6d023f15572e
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author | bshanks@bshanks.dyndns.org |
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date | Mon Apr 13 14:53:12 2009 -0700 (16 years ago) |
parents | 70bdcd6c9972 |
children | c435e5da5211 |
line diff
1.1 --- a/grant.txt Mon Apr 13 14:31:11 2009 -0700
1.2 +++ b/grant.txt Mon Apr 13 14:53:12 2009 -0700
1.3 @@ -1,5 +1,5 @@
1.4 -\documentclass{nih}
1.5 -\piname{Stevens, Charles F.}
1.6 +\documentclass{nih-blank}
1.7 +%%\piname{Stevens, Charles F.}
1.8
1.9 == Specific aims ==
1.10
1.11 @@ -119,7 +119,7 @@
1.12
1.13 Although it is known that different cortical areas have distinct roles in both normal functioning and in disease processes, there are no known marker genes for many cortical areas. When it is necessary to divide a tissue sample into cortical areas, this is a manual process that requires a skilled human to combine multiple visual cues and interpret them in the context of their approximate location upon the cortical surface.
1.14
1.15 -Even the questions of how many areas should be recognized in cortex, and what their arrangement is, are still not completely settled. A proposed division of the cortex into areas is called a cortical map. In the rodent, the lack of a single agreed-upon map can be seen by contrasting the recent maps given by Swanson\ref{brain_swanson_2003} on the one hand, and Paxinos and Franklin\ref{mouse_paxinos_2001} on the other. While the maps are certainly very similar in their general arrangement, significant differences remain in the details.
1.16 +Even the questions of how many areas should be recognized in cortex, and what their arrangement is, are still not completely settled. A proposed division of the cortex into areas is called a cortical map. In the rodent, the lack of a single agreed-upon map can be seen by contrasting the recent maps given by Swanson\cite{brain_swanson_2003} on the one hand, and Paxinos and Franklin\cite{mouse_paxinos_2001} on the other. While the maps are certainly very similar in their general arrangement, significant differences remain in the details.
1.17
1.18
1.19
1.20 @@ -313,7 +313,12 @@
1.21
1.22
1.23
1.24 -
1.25 +\newpage
1.26 +
1.27 +\bibliographystyle{plain}
1.28 +\bibliography{grant}
1.29 +
1.30 +\newpage
1.31
1.32 ----
1.33
1.34 @@ -325,7 +330,7 @@
1.35
1.36 In anatomy, the manifold of interest is usually either defined by a combination of two relevant anatomical axes (todo), or by the surface of the structure (as is the case with the cortex). In the former case, the manifold of interest is a plane, but in the latter case it is curved. If the manifold is curved, there are various methods for mapping the manifold into a plane.
1.37
1.38 -The method that we will develop will begin by mapping the data into a 2-D plane. Although the manifold that characterized cortical areas is known to be the cortical surface, it remains to be seen which method of mapping the manifold into a plane is optimal for this application. We will compare mappings which attempt to preserve size (such as the one used by Caret\ref{van_essen_integrated_2001}) with mappings which preserve angle (conformal maps).
1.39 +The method that we will develop will begin by mapping the data into a 2-D plane. Although the manifold that characterized cortical areas is known to be the cortical surface, it remains to be seen which method of mapping the manifold into a plane is optimal for this application. We will compare mappings which attempt to preserve size (such as the one used by Caret\cite{van_essen_integrated_2001}) with mappings which preserve angle (conformal maps).
1.40
1.41 Although there is much 2-D organization in anatomy, there are also structures whose shape is fundamentally 3-dimensional. If possible, we would like the method we develop to include a statistical test that warns the user if the assumption of 2-D structure seems to be wrong.
1.42
1.43 @@ -338,3 +343,6 @@
1.44 note:
1.45
1.46 do we need to cite: no known markers, impressive results?
1.47 +
1.48 +
1.49 +