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Abstract #2408

Probing functional connectivity and network modelling from perfusion neuroimaging with Arterial Spin Labeling

Ilaria Boscolo Galazzo1, Silvia Francesca Storti1, Francesca Benedetta Pizzini2, Enrico De Vita3, Claudio Tomazzoli1, Anna Barnes4, Francesco Fraioli4, and Gloria Menegaz1

1Department of Computer Science, University of Verona, Verona, Italy, 2Department of Neuroradiology, University Hospital Verona, Verona, Italy, 3King's College London, London, United Kingdom, 4Institute of Nuclear Medicine, University College London, London, United Kingdom

Nowadays, the assessment of brain functional connectivity (FC) patterns, ranging from resting-state networks to network modelling, can rely on Arterial Spin Labeling (ASL) MRI as an alternative to the gold-standard sequence represented by the blood-oxygenation-level-dependent contrast. We evaluated FC mapping from different perspectives (experimental protocols, populations and analysis methods), trying to overcome some of the present challenges related to the ASL applicability in this framework. The results demonstrate how FC patterns and changes can be reliably detected using ASL, with the added value of allowing the simultaneous quantification of brain perfusion, a direct marker of neuronal activity.

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