Translator Disclaimer
22 December 2015 Low-frequency fluctuation amplitude analysis of resting-state fMRI in sickle cell disease
Author Affiliations +
Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 96810W (2015) https://doi.org/10.1117/12.2211383
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julie Coloigner, Yeun Kim, Adam Bush, Matt Borzage, Vidya Rajagopalan, Natasha Lepore, and John Wood "Low-frequency fluctuation amplitude analysis of resting-state fMRI in sickle cell disease ", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810W (22 December 2015); https://doi.org/10.1117/12.2211383
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
Back to Top