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Abstract #2299

Modelling the laminar GRE-BOLD signal: integrating anatomical, physiological and methodological determinants

Alberto Merola1 and Nikolaus Weiskopf 1

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

An insight into the layered functional organization of grey matter can be offered by spatially accurate high resolution measurements of the laminar BOLD signal. However, their specificity is limited by anatomical, physiological and methodological features affecting the functional point spread function (fPSF). In order to examine these, an integrated model of the laminar GRE-BOLD signal has been formulated that combines a vascular geometric model of the cortex with a model describing the relationship between underlying physiological parameters and R2* changes. Using the new detailed model we are able to characterize the laminar GRE-BOLD signal dependency on physiological and partial volume effects.

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