Automated and nonbiased regional quantification of functional neuroimaging data
Abstract
In the quantification of functional neuroimaging data, region‐of‐interest (ROI) analysis can be used to assess a variety of properties of the activation signal, but taken alone these properties are susceptible to noise and may fail to accurately describe overall regional involvement. Here, the authors present and evaluate an automated method for quantification and localization of functional neuroimaging data that combines multiple properties of the activation signal to generate rank‐order lists of regional activation results.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 26, 2015
- Source ID
- 10.1118/1.4906130
Entities
People
- Benjamin Speidel
- Jason G. Parker
- Matthew S Sherwood
Organizations
- Air Force Research Laboratory