Geometric effects of volume-to-surface mapping of fMRI data
Keith George Ciantar, Christine Farrugia, Paola Galdi, Kenneth Scerri, Ting Xu, Claude J. Bajada
Abstract
In this work, we identify a problem with the process of volume-to-surface mapping of functional Magnetic Resonance Imaging (fMRI) data that emerges in local connectivity analysis. We show that neighborhood correlations on the surface of the brain vary spatially with the gyral structure, even when the underlying volumetric data are uncorrelated noise. This could potentially have impacted studies focusing upon local neighborhood connectivity. We explore the effects of this anomaly across varying data resolutions and surface mesh densities, and propose several measures to mitigate these unwanted effects.
Topics & Concepts
UncorrelatedSurface (topology)Volume (thermodynamics)Functional magnetic resonance imagingArtificial intelligenceComputer scienceProcess (computing)Noise (video)Partial volumePattern recognition (psychology)Anomaly (physics)MathematicsImage (mathematics)PhysicsPsychologyGeometryNeuroscienceStatisticsOperating systemCondensed matter physicsQuantum mechanicsFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications