Abstract #3047

Predicting brain-behavior relationships using Voxel-based Predictive Modeling in ASL data of older subjects

Scott Peltier¹, Michelle Karker², Luis Hernandez¹, Henry Paulson³, Bruno Giordani⁴, Benjamin M Hampstead⁴, and Doug Noll²

¹Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, ²Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, ³Neurology, University of Michigan, Ann Arbor, MI, United States, ⁴Psychiatry, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Alzheimer's Disease, Data AnalysisA recent technique, Connectome-based Predictive Modeling (CPM), has shown promise in relating imaging-derived measures to clinical/behavioral observations. In this work, we adapt this method to relate volumetric CBF data to continuous composite measures of memory, learning, and language in subjects with MCI and DAT, along with healthy subjects. Models using the learning and memory composite scores had the largest effect sizes and statistical significance using permutation testing. Regions in the feature masks indicate involvement of brain regions that may be impacted in DAT. This demonstrates the utility of ASL-based perfusion measurement as a predictor of cognitive status in older subjects.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.