Abstract #3322

A comprehensive set of gray matter labels for the MIITRA atlas: Interoperability with complementary atlases

Mohammad Rakeen Niaz¹, Yingjuan Wu¹, Abdur Raquib Ridwan², Shengwei Zhang², David A. Bennett², and Konstantinos Arfanakis^1,2

¹Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, ²Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States

Synopsis

Keywords: Alzheimer's Disease, Aging, Aging, Atlas, Brain, Gray MatterThe Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas constructed using high quality MRI data on a large (N=400), diverse, community cohort of non-demented older adults, contains high resolution (0.5mm) structural and diffusion imaging templates. The present work constructed and evaluated a comprehensive set of gyral-based, cytoarchitecture-based, and functional connectivity-based gray matter labels in MIITRA space in order to enhance the functionality of the MIITRA atlas and its interoperability with complementary atlases.

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