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Proceedings Paper

Low-frequency fluctuation amplitude analysis of resting-state fMRI in sickle cell disease
Author(s): Julie Coloigner; Yeun Kim; Adam Bush; Matt Borzage; Vidya Rajagopalan; Natasha Lepore; John Wood
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Paper Abstract

Sickle cell disease may result in neurological damage and strokes, leading to morbidity and mortality. Currently, there are no dependable biomarkers to predict impending strokes. In this study, we analyzed neuronal processes at resting state and more particularly how this disease affects the default mode network. The amplitude of low frequency fluctuations was used to reflect areas of spontaneous BOLD signal across brain regions. We compared the activations of sickle cell disease patients to a control group using variance analysis and t-test. Significant regional differences among the two groups were observed, especially in the default mode network areas and cortical regions near large cerebral arteries. These findings suggest that sickle cell disease causes activation modifications near vessels, and these changes could be used as a biomarker of the disease.

Paper Details

Date Published: 22 December 2015
PDF: 6 pages
Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810W (22 December 2015); doi: 10.1117/12.2211383
Show Author Affiliations
Julie Coloigner, Children's Hospital Los Angeles (United States)
Yeun Kim, Children's Hospital Los Angeles (United States)
Adam Bush, Children's Hospital Los Angeles (United States)
Matt Borzage, Children's Hospital Los Angeles (United States)
Vidya Rajagopalan, Children's Hospital Los Angeles (United States)
Rudi Schulte Research Institute (United States)
Natasha Lepore, Children's Hospital Los Angeles (United States)
John Wood, Children's Hospital Los Angeles (United States)


Published in SPIE Proceedings Vol. 9681:
11th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Juan D. García-Arteaga; Jorge Brieva, Editor(s)

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