title: Surface-based analysis methods for high-resolution functional magnetic resonance imaging.
abstract: Functional magnetic resonance imaging (fMRI) has become a popular technique for studies of human brain activity. Typically, fMRI is performed with >3-mm sampling, so that the imaging data can be regarded as two-dimensional samples that average through the 1.5-4-mm thickness of cerebral cortex. The increasing use of higher spatial resolutions, <1.5-mm sampling, complicates the analysis of fMRI, as one must now consider activity variations within the depth of the brain tissue. We present a set of surface-based methods to exploit the use of high-resolution fMRI for depth analysis. These methods utilize white-matter segmentations coupled with deformable-surface algorithms to create a smooth surface representation at the gray-white interface and pial membrane. These surfaces provide vertex positions and normals for depth calculations, enabling averaging schemes that can increase contrast-to-noise ratio, as well as permitting the direct analysis of depth profiles of functional activity in the human brain.
authors: Imaging Research Center, 3925B West Braker Lane, Austin TX, 78757 USA.
authors: Rez
authors: R
authors: Khan
authors: Qin
authors: Q
authors: Zhang
authors: Shayan
authors: S
authors: Darayan
authors: Sankari
authors: S
authors: Dhandapani
authors: Sucharit
authors: S
authors: Katyal
authors: Clint
authors: C
authors: Greene
authors: Chandra
authors: C
authors: Bajaj
authors: David
authors: D
authors: Ress