Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI

Lene Lillemark; Lauge Sørensen; Peter Mysling; Akshay Pai; Erik B. Dam; Mads Nielsen

doi:10.1117/12.2007600

13 March 2013 Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI

Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen

Author Affiliations +

Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 866926 (2013) https://doi.org/10.1117/12.2007600
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

This work investigates a novel way of looking at the regions in the brain and their relationship as possible markers to classify normal control (NC), mild cognitive impaired (MCI), and Alzheimer Disease (AD) subjects. MRI scans from a subset of 101 subjects from the ADNI study at baseline was used for this study. 40 regions in the brain including hippocampus, amygdala, thalamus, white, and gray matter were segmented using FreeSurfer. From this data, we calculated the distance between the center of mass of each region, the normalized number of voxels and the percentage volume and surface connectivity shared between the regions. These markers were used for classification using a linear discriminant analysis in a leave-one-out manner. We found that the percentage of surface and volume connectivity between regions gave a significant classification between NC and AD and borderline significant between MCI and AD even after correction for whole brain volume at baseline. The results show that the morphometric connectivity markers include more information than whole brain volume or distance markers. This suggests that one can gain additional information by combining morphometric connectivity markers with traditional volume and shape markers.

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Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, and Mads Nielsen "Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866926 (13 March 2013); https://doi.org/10.1117/12.2007600

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KEYWORDS

Brain

Magnetic resonance imaging

Image segmentation

Alzheimer's disease

Neuroimaging

Dementia

Amygdala

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