Meeting Banner
Abstract #1606

Multi-Parametric Classification of FMRI-Activated Voxels Using Venous Vessel-Size, BOLD Latency and Susceptibility-Weighted Imaging

Thies H. Jochimsen1, Harald E. Mller1

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Sachsen, Germany


Several strategies to increase the spatial specifity of BOLD-based fMRI by excluding the signal of large veins were combined into a single set of experiments in order compare their effectiveness. In particular, the BOLD latency, venographic intensity and venous vessel size of activated voxels was analyzed using a cluster and correlation analysis. The relatively good mutual correlation of venous vessel size, latency and venographic intensity suggests that these parameters can be used equally well to discriminate large veins.

Keywords