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High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain

Nasiriavanaki, Mohammadreza and Xia, Jun and Wan, Hanlin and Bauer, Adam Quentin and Culver, Joseph P. and Wang, Lihong V. (2014) High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain. Proceedings of the National Academy of Sciences of the United States of America, 111 (1). pp. 21-26. ISSN 0027-8424. PMCID PMC3890828. doi:10.1073/pnas.1311868111.

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The increasing use of mouse models for human brain disease studies presents an emerging need for a new functional imaging modality. Using optical excitation and acoustic detection, we developed a functional connectivity photoacoustic tomography system, which allows noninvasive imaging of resting-state functional connectivity in the mouse brain, with a large field of view and a high spatial resolution. Bilateral correlations were observed in eight functional regions, including the olfactory bulb, limbic, parietal, somatosensory, retrosplenial, visual, motor, and temporal regions, as well as in several subregions. The borders and locations of these regions agreed well with the Paxinos mouse brain atlas. By subjecting the mouse to alternating hyperoxic and hypoxic conditions, strong and weak functional connectivities were observed, respectively. In addition to connectivity images, vascular images were simultaneously acquired. These studies show that functional connectivity photoacoustic tomography is a promising, noninvasive technique for functional imaging of the mouse brain.

Item Type:Article
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URLURL TypeDescription CentralArticle Information CentralArticle
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2014 National Academy of Sciences. Edited by Edward Ziff, New York University Medical Center, New York, NY, and accepted by the Editorial Board November 27, 2013 (received for review June 22, 2013). Published online before print December 23, 2013. The authors acknowledge and thank Dr. Joon Mo Yang for his help with figures. We also thank Profs. James Ballard and Sandra Matteucci for their close review of the article. This work was sponsored in part by National Institutes of Health (NIH) Grants DP1 EB016986 (NIH Director’s Pioneer Award), R01 EB008085, R01 CA134539, R01 CA159959, U54 CA136398, R01 EB010049, and R01 CA157277. M.N. and J.X. contributed equally to this work. Author contributions: L.V.W. designed research; M.N. and J.X. performed research; M.N., J.X., A.Q.B., and J.P.C. contributed new reagents/analytic tools; M.N. and J.X. analyzed data; and M.N., J.X., and H.W. wrote the paper. The authors declare no conflict of interest. Conflict of interest statement: L.V.W. has a financial interest in Microphotoacoustics, Inc. and Endra, Inc., which, however, did not support this work. This article is a PNAS Direct Submission. E.Z. is a guest editor invited by the Editorial Board. This article contains supporting information online at
Funding AgencyGrant Number
NIHDP1 EB016986
NIHR01 EB008085
NIHR01 CA134539
NIHR01 CA159959
NIHU54 CA136398
NIHR01 EB010049
NIHR01 CA157277
Issue or Number:1
PubMed Central ID:PMC3890828
Record Number:CaltechAUTHORS:20160617-100035660
Persistent URL:
Official Citation:Mohammadreza Nasiriavanaki, Jun Xia, Hanlin Wan, Adam Quentin Bauer, Joseph P. Culver, and Lihong V. Wang High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain PNAS 2014 111 (1) 21-26; published ahead of print December 23, 2013, doi:10.1073/pnas.1311868111
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:68475
Deposited By: Tony Diaz
Deposited On:17 Jun 2016 17:23
Last Modified:11 Nov 2021 04:00

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