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3 Flat Maps
3.1 Overview
The cortical gray matter approximates a folded sheet in three-space. Hence, gray matter and
the corresponding functional data can be represented in two-space by using a flattening algo-
rithm. The developed tool uses such flattened representations of the cortical surface (flat
maps) to segregate retinotopic visual areas. This chapter explains what flat maps are and how
they are created.
At first, some terms that are used later in the chapter are explained or defined. Then,
background information is presented, e.g. a short introduction to magnetic resonance imaging
(MRI) and functional MRI (fMRI). In the following sections flat maps and their advantages as
well as their computation are described. This includes information on the recording of ana-
tomical and functional data, the segmentation of gray matter, the flattening procedure, the
alignment of different data sets, and the displaying of functional data in 2D. At the end, some
types of flat maps are explained.
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