13 March 2013 Multi-object statistical analysis of late adolescent depression
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Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 86690D (2013) https://doi.org/10.1117/12.2007013
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Shape deformations and volumetric changes in the hippocampus and amygdala have previously been noted in Major Depressive Disorder (MDD). Unfortunately, these analyses are limited because relative shape and pose (rigid+scale transformation) information of multiple objects in brain are generally disregarded. We hypothesize that this information might complement studies of limbic structural deformation in MDD. We focus on changes in temporal (e.g., superior, middle and inferior temporal gyrus) and limbic (e.g., hippocampus and amygdala) lobes. Here, we use a multi-object statistical pose and shape model to analyze imaging data from young people with and without a depressive disorder. Nineteen individuals with a depressive disorder (mean age: 17.85) and twenty six healthy controls (age: 18) were enrolled in the study. A segmented atlas in MNI space has been used to segment hippocampus, amygdala, parahippocampal gyri, putamen, and the superior, inferior and middle temporal gyri in both hemispheres of the brain. Points on the surface of each structure were extracted and warped to each subjects’ structural MRI. These corresponding surface points were used within the analysis, to extract the pose and shape features. Pose and shape differences were detected between the two groups, such that second principal mode of pose variation (p = 0.022), and first principal mode of shape variation (p = 0.049) were found to differ significantly between the two groups.
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Mahdi Ramezani, Mahdi Ramezani, Abtin Rasoulian, Abtin Rasoulian, Purang Abolmaesumi, Purang Abolmaesumi, Tom Hollenstein, Tom Hollenstein, Ingrid Johnsrude, Ingrid Johnsrude, Kate Harkness, Kate Harkness, } "Multi-object statistical analysis of late adolescent depression", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86690D (13 March 2013); doi: 10.1117/12.2007013; https://doi.org/10.1117/12.2007013
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