@inproceedings{f2c4fa8bc98c4cc09593f2ca786b1a66,
title = "Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease",
abstract = "Sickle cell disease (SCD) is a genetic hematological disease in which the hemoglobin molecule in red blood cells is abnormal. It is closely associated with many symptoms, including pain, anemia, chest syndrome and neurocognitive impairment. One of the most debilitating symptoms is elevated risk for cerebro-vascular accidents. The corpus callosum (CC), as the largest and most prominent white matter (WM) structure in the brain, can reflect the chronic cerebrovascular damage resulting from silent strokes or infarctions in asymptomatic SCD patients. While a lot of studies have reported WM alterations in this cohort, little is known about the shape deformation of the CC. Here we perform the first surface morphometry analysis of the CC in SCD patients using four different shape metrics on T1-weighted magnetic resonance images. We detect regional surface morphological differences in the CC between 11 patients and 10 healthy control subjects. Differences are located in the genu, posterior midbody and splenium, potentially casting light on the anatomical substrates underlying neuropsychological test differences between the SCD and control groups.",
keywords = "And multivariate tensor based morphometry, Corpus callosum, Sickle cell disease",
author = "Yaqiong Chai and Yi Lao and Yicen Li and Chaoran Ji and Sharon O'Neil and Yalin Wang and Natasha Lepore and John Wood",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; 12th International Symposium on Medical Information Processing and Analysis, SIPAIM 2016 ; Conference date: 05-12-2016 Through 07-12-2016",
year = "2017",
doi = "10.1117/12.2257399",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Eduardo Romero and Natasha Lepore and Jorge Brieva and Ignacio Larrabide",
booktitle = "12th International Symposium on Medical Information Processing and Analysis",
}