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Novel Methods for the Visualization and Analysis of Functional Maps in Cortex

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ISBN: 3827409896   ISBN: 3827409896   ISBN: 3827409896   ISBN: 3827409896 
 
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Flat Maps 18 3.5  What are Flat Maps? Cortical gray matter of each hemisphere is like a folded sheet. Gray matter can be visualized in three-space by creating a surface model. A disadvantage of this visualization technique is that one can mainly see the areas on the exterior surface because much of the gray matter lies within the sulci and is not easily visible from the outside. To get a better view, the cortex can be  flattened  computationally  and  fMRI  measurements  can  then  be  overlaid on the flattened representation  of  the  cortical  surface.  The  resulting  functional  flat  maps  have  many  advan- tages; some of them are given in the next section. To computationally flatten the cortex from anatomical MR images, several tasks have to be performed. They are described after the fol- lowing section. 3.6  Advantages of Flat Maps The cortical surface is hard to see without significant processing. For example, most of the primary  visual  cortex  lies  between  the  two  hemispheres  and  is  therefore  hidden  from  view [Gazzaniga, et al., 1998 #9]. To simplify the task of identifying visual areas, and to improve the visualization of the cortex, an unfolding algorithm can be used to transform the cortex to a non-convoluted surface, in our case to a flat 2-dimensional plane. A sphere or an ellipsoid can also be used [Fischl, et al., 1999 #36]. [Van Essen, et al., 2001 #37] mapped the visual cortex by using surface-based atlases. Functional data can be projected onto the flat map. Functional flat maps can improve the interpretation  of  functional  data  because  relations  between  different  functional  loci  can  be seen easier as in the case where one is looking at the folded cortex. In particular, the spatial organization of the visual areas can be understood easier by looking at a flat map than by ex- amining the folded cortex in three-space [Wandell, 1999 #16]. This is because functional flat maps make it possible to view cortical activity across a large region of cortex within a single image  [Teo,  et  al.,  1997  #8].  Therefore,  flattened representations of the cortex can help re- searchers to learn more about the functional organization of the cortex. They can also be used to compare functional data between different subjects.
  
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