Abstract #1215

Brain perfusion patterns and their relationships with fMRI resting state networks and arterial vascular territories

Maria Marcella Lagana¹, Laura Pelizzari^1,2, Alice Pirastru¹, Niels Bergsland^1,3, Mario Clerici^1,4, Pietro Cecconi⁵, and Francesca Baglio¹

¹Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy, ²Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy, ³Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States, ⁴Università degli Studi di Milano, Milan, Italy, ⁵Radiology, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy

In this study, we aimed to assess the consistency of the perfusion patterns that can be extracted using independent component analysis (ICA) on cerebral blood flow (CBF) maps derived from arterial spin labeling (ASL) data. Furthermore, we aimed to evaluate the similarity between the CBF-derived components and the well-known spatial patterns of functional MRI resting state networks (RSN) and cerebral vascular territories (VT). Our results showed that good spatial constancy of perfusion patterns can be extracted from CBF maps. Almost all the derived components overlapped with RSN or specific VT.

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