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An optical assessment of the effects of glioma growth on resting state networks in mice (Conference Presentation)

Paper Abstract

Gliomas are known to cause significant changes in normal brain function that lead to cognitive deficits. Disruptions in resting state networks (RSNs) are thought to underlie these changes. However, investigating the effects of glioma growth on RSNs in humans is complicated by the heterogeneity in lesion size, type, and location across subjects. In this study, we evaluated the effects of tumor growth on RSNs over time in a controlled mouse model of glioma growth. Methods: Glioma cells (5x104-105 U87s) were stereotactically injected into the forepaw somatosensory cortex of adult nude mice (n=5). Disruptions in RSNs were evaluated weekly with functional connectivity optical intrinsic signal imaging (fcOIS). Tumor growth was monitored with MRI and weekly bioluminescence imaging (BLI). In order to characterize how tumor growth affected different RSNs over time, we calculated a number of functional connectivity (fc) metrics, including homotopic (bilateral) connectivity, spatial similarity, and node degree. Results: Deficits in fc initiate near the lesion, and over a period of several weeks, extend more globally. The reductions in spatial similarity were found to strongly correlate with the BLI signal indicating that increased tumor size is associated with increased RSN disruption. Conclusions: We have shown that fcOIS is capable of detecting alterations in mouse RSNs due to brain tumor growth. A better understanding of how RSN disruption contributes to the development of cognitive deficits in brain tumor patients may lead to better patient risk stratification and consequently improved cognitive outcomes.

Paper Details

Date Published: 19 April 2017
PDF: 1 pages
Proc. SPIE 10051, Neural Imaging and Sensing, 100510P (19 April 2017); doi: 10.1117/12.2252817
Show Author Affiliations
Inema E. Orukari, Washington Univ. in St Louis (United States)
Adam Q. Bauer, Washington Univ. in St Louis (United States)
Grant A. Baxter, Washington Univ. in St Louis (United States)
Joshua B. Rubin, Washington Univ. in St Louis (United States)
Joseph P. Culver, Washington Univ. in St Louis (United States)

Published in SPIE Proceedings Vol. 10051:
Neural Imaging and Sensing
Qingming Luo; Jun Ding, Editor(s)

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