Hemodynamic correlation imaging of the mouse brain for application in unilateral neurodegenerative diseases
- Authors
- Paik, Seung-Ho; Erdogan, Sedef; Phillips, Zephaniah, V; Kim, Young-Kyu; Song, Kang-Il; Park, Sunghee Estelle; Choi, Youngwoon; Youn, Inchan; Kim, Beop-Min
- Issue Date
- 1-4월-2019
- Publisher
- OPTICAL SOC AMER
- Citation
- BIOMEDICAL OPTICS EXPRESS, v.10, no.4, pp.1736 - 1749
- Indexed
- SCIE
SCOPUS
- Journal Title
- BIOMEDICAL OPTICS EXPRESS
- Volume
- 10
- Number
- 4
- Start Page
- 1736
- End Page
- 1749
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/66062
- DOI
- 10.1364/BOE.10.001736
- ISSN
- 2156-7085
- Abstract
- We developed a single-camera two-channel hemodynamic imaging system that uses near-infrared light to monitor the mouse brain in vivo with an exposed, un-thinned, and intact skull to explore the effect of Parkinson's disease on the resting state functional connectivity of the brain. To demonstrate our system's ability to monitor cerebral hemodynamics, we first performed direct electrical stimulation of an anesthetized healthy mouse brain and detected hemodynamic changes localized to the stimulated area. Subsequently, we developed a unilaterally lesioned 6-hydroxydopamine (hemi-parkinsonian) mouse model and detected the differences in functional connectivity between the normal and hemi-parkinsonian mouse brains by comparing the hemispheric hemodynamic correlations during the resting state. Seed-based correlation for the oxy-hemoglobin channel from the left and right hemispheres of healthy mice was much higher and more symmetric than in hemi-parkinsonian mice. Through a k-means clustering of the hemodynamic signals, the healthy mouse brains were segmented according to brain region, but the hemi-parkinsonian mice did not show a similar segmentation. Overall, this study highlights the development of a spatial multiplexing hemodynamic imaging system that reveals the resting state hemodynamic connectivity in healthy and hemi-parkinsonian mice. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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Collections - Graduate School > Department of Bioengineering > 1. Journal Articles
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