High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain
Abstract
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.
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 www.pnas.org/lookup/suppl/doi:10.1073/pnas.1311868111/-/DCSupplemental.Attached Files
Published - PNAS-2014-Nasiriavanaki-21-6.pdf
Supplemental Material - pnas.201311868SI.pdf
Supplemental Material - sm01.mp4
Supplemental Material - sm02.mp4
Files
Additional details
- PMCID
- PMC3890828
- Eprint ID
- 68475
- Resolver ID
- CaltechAUTHORS:20160617-100035660
- NIH
- DP1 EB016986
- NIH
- R01 EB008085
- NIH
- R01 CA134539
- NIH
- R01 CA159959
- NIH
- U54 CA136398
- NIH
- R01 EB010049
- NIH
- R01 CA157277
- Created
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2016-06-17Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field