Hemodynamic correlation imaging of the mouse brain for application in unilateral neurodegenerative diseases.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Apr 2019
Historique:
received: 05 12 2018
revised: 25 02 2019
accepted: 27 02 2019
entrez: 16 5 2019
pubmed: 16 5 2019
medline: 16 5 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31086700
doi: 10.1364/BOE.10.001736
pii: 349727
pmc: PMC6485007
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1736-1749

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest related to this article.

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Auteurs

Seung-Ho Paik (SH)

Korea University, Department of Bio-convergence Engineering, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea.
Co-first authors.

Sedef Erdogan (S)

Korea University, Department of Bio-convergence Engineering, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea.
Co-first authors.

Zephaniah Phillips V (Z)

Korea University, Department of Bio-convergence Engineering, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea.

Young-Kyu Kim (YK)

Korea University, Department of Bio-convergence Engineering, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea.

Kang-Il Song (KI)

Korea Institute of Science and Technology, Biomedical Research Institute, Hwarangno14-gil5, Seongbuk-gu, Seoul, 02792, South Korea.

Sunghee Estelle Park (SE)

Korea Institute of Science and Technology, Biomedical Research Institute, Hwarangno14-gil5, Seongbuk-gu, Seoul, 02792, South Korea.

Youngwoon Choi (Y)

Korea University, Department of Bio-convergence Engineering, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea.

Inchan Youn (I)

Korea Institute of Science and Technology, Biomedical Research Institute, Hwarangno14-gil5, Seongbuk-gu, Seoul, 02792, South Korea.
Co-corresponding authors.
iyoun@kist.re.kr.

Beop-Min Kim (BM)

Korea University, Department of Bio-convergence Engineering, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, South Korea.
Co-corresponding authors.
bmk515@korea.ac.kr.

Classifications MeSH