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Abstract #0155

A transfer function model for local signal propagation in spatiotemporal MR data

Henning U. Voss1, Jörg Stadler2, Jonathan P. Dyke1, and Douglas J. Ballon1

1Weill Cornell Medicine, New York, NY, United States, 2Leibniz Institute for Neurobiology, Magdeburg, Germany

In order to understand the sources of dynamic EPI signals under complex stimuli or in the resting state, local signal transfer functions were computed from natural stimulation data sets, and the coherence vector was mapped and color coded analogously to conventional methods for structural connectivity maps. As expected, signal propagation is frequency dependent, whereas high frequencies are caused by cardiovascular pulsations, but low frequencies are less well understood. We conclude that the observed frequency dependence of this local signal transfer model might aid the understanding of the foundation of functional connectivity analysis and the meaning of observed complex patterns such as the resting states.

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