Melanie Morrison1, Sivakami Avadappian1, Angela Jakary1, Erin Felton2, Schuyler Stoller3, Sabine Mueller3, and Janine Lupo1
1Radiology, UCSF, San Francisco, CA, United States, 2UCSF, San Francisco, CA, United States, 3Neurology, UCSF, San Francisco, CA, United States
1Radiology, UCSF, San Francisco, CA, United States, 2UCSF, San Francisco, CA, United States, 3Neurology, UCSF, San Francisco, CA, United States
Functional and vascular imaging data can be used together to provide a biomarker of cognition.
Figure 2: Group-level large-scale brain networks derived from ICA analysis (a; orange = positive correlation, blue = negative correlation; FPN = frontoparietal network, SN= salience network, DMN = default mode network, DAN = dorsal attention network) and the methods for extracting local rsfMRI variability (b), cerebroarterial density (c) and cerebral microbleed (CMB) burden (d).
Figure 4: Relationship between imaging parameters and verbal memory performance (dependent variable). DMN var = default mode network variability, vvol= normalized vessel volume.