NYU Dataset
Predictive Modeling Software: Neuroanatomical Age Prediction Using R
Alternate Titles(s): NAPR
UID: 10333
- Description
- Neuroanatomical Age Prediction Using R (NAPR) is a framework that provides network-based access to predictive modeling software running on a persistent Amazon Web Services (AWS) computing instance. External users may estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The model was trained using healthy control data from the Autism Brain Imaging Data Exchange (ABIDE), Consortium for Reproducibility (CoRR), Dallas Lifespan Brain Study (DLBS), and NKI Rockland neuroimaging datasets (total n=2367, age range 6-89 years).
Access
- Restrictions
-
Free to All
- Instructions
- NAPR works on Unix/Linux, Mac OS, and Windows operating systems. Users will need to be proficient in R and install FreeSurfer, an open source software suite for processing and analyzing human brain MRI images, in order to properly use the tool.
- Other Resources
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R
R data analysis software (required for NAPR)
FreeSurferOpen source software suite used for MRI data (required for NAPR)
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