Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Shih YYI, Li G, Muir ER, De La Garza BH, Kiel JW, Duong TQ. Pharmacological MRI of the choroid and retina: blood flow and BOLD responses during nitroprusside infusion. Magn Reson Med 2011;68:1273-8. [PMID: 22183830 DOI: 10.1002/mrm.24112] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2011] [Revised: 10/06/2011] [Accepted: 11/18/2011] [Indexed: 11/10/2022]

For:	Shih YYI, Li G, Muir ER, De La Garza BH, Kiel JW, Duong TQ. Pharmacological MRI of the choroid and retina: blood flow and BOLD responses during nitroprusside infusion. Magn Reson Med 2011;68:1273-8. [PMID: 22183830 DOI: 10.1002/mrm.24112] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2011] [Revised: 10/06/2011] [Accepted: 11/18/2011] [Indexed: 11/10/2022]

Number

Cited by Other Article(s)

Cerri DH, Albaugh DL, Walton LR, Katz B, Wang TW, Chao THH, Zhang W, Nonneman RJ, Jiang J, Lee SH, Etkin A, Hall CN, Stuber GD, Shih YYI. Distinct neurochemical influences on fMRI response polarity in the striatum. Nat Commun 2024;15:1916. [PMID: 38429266 PMCID: PMC10907631 DOI: 10.1038/s41467-024-46088-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 02/13/2024] [Indexed: 03/03/2024] Open

Affiliation(s)

Domenic H Cerri Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Daniel L Albaugh Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA
Lindsay R Walton Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Brittany Katz Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Tzu-Wen Wang Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Tzu-Hao Harry Chao Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Weiting Zhang Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Randal J Nonneman Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Jing Jiang Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, IA, USA Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, Iowa City, IA, USA
Sung-Ho Lee Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Amit Etkin Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA Alto Neuroscience, Los Altos, CA, USA
Catherine N Hall Sussex Neuroscience, University of Sussex, Falmer, United Kingdom School of Psychology, University of Sussex, Falmer, United Kingdom
Garret D Stuber Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA Department of Pharmacology, University of Washington, Seattle, WA, USA
Yen-Yu Ian Shih Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

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Yu Z, Pang H, Yang Y, Luo D, Zheng H, Huang Z, Zhang M, Ren K. Microglia dysfunction drives disrupted hippocampal amplitude of low frequency after acute kidney injury. CNS Neurosci Ther 2024;30:e14363. [PMID: 37469216 PMCID: PMC10848109 DOI: 10.1111/cns.14363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/20/2023] [Accepted: 06/24/2023] [Indexed: 07/21/2023] Open

Zhang WT, Chao THH, Yang Y, Wang TW, Lee SH, Oyarzabal EA, Zhou J, Nonneman R, Pegard NC, Zhu H, Cui G, Shih YYI. Spectral fiber photometry derives hemoglobin concentration changes for accurate measurement of fluorescent sensor activity. CELL REPORTS METHODS 2022;2:100243. [PMID: 35880016 PMCID: PMC9308135 DOI: 10.1016/j.crmeth.2022.100243] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 04/08/2022] [Accepted: 06/08/2022] [Indexed: 12/22/2022]

Affiliation(s)

Wei-Ting Zhang Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Tzu-Hao Harry Chao Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Yue Yang Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Tzu-Wen Wang Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Sung-Ho Lee Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Esteban A. Oyarzabal Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Jingheng Zhou In Vivo Neurobiology Group, Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709, USA
Randy Nonneman Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Nicolas C. Pegard Department of Applied Physical Sciences, UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Hongtu Zhu Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Guohong Cui In Vivo Neurobiology Group, Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC 27709, USA
Yen-Yu Ian Shih Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA

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Chao THH, Zhang WT, Hsu LM, Cerri DH, Wang TW, Shih YYI. Computing hemodynamic response functions from concurrent spectral fiber-photometry and fMRI data. NEUROPHOTONICS 2022;9:032205. [PMID: 35005057 PMCID: PMC8734587 DOI: 10.1117/1.nph.9.3.032205] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/15/2021] [Indexed: 05/31/2023]

Affiliation(s)

Tzu-Hao H. Chao University of North Carolina at Chapel Hill, Center for Animal MRI, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Biomedical Research Imaging Center, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Department of Neurology, Chapel Hill. North Carolina, United States
Wei-Ting Zhang University of North Carolina at Chapel Hill, Center for Animal MRI, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Biomedical Research Imaging Center, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Department of Neurology, Chapel Hill. North Carolina, United States
Li-Ming Hsu University of North Carolina at Chapel Hill, Center for Animal MRI, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Biomedical Research Imaging Center, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Department of Neurology, Chapel Hill. North Carolina, United States
Domenic H. Cerri University of North Carolina at Chapel Hill, Center for Animal MRI, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Biomedical Research Imaging Center, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Department of Neurology, Chapel Hill. North Carolina, United States
Tzu-Wen Wang University of North Carolina at Chapel Hill, Center for Animal MRI, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Biomedical Research Imaging Center, Chapel Hill. North Carolina, United States
Yen-Yu I. Shih University of North Carolina at Chapel Hill, Center for Animal MRI, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Biomedical Research Imaging Center, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Department of Neurology, Chapel Hill. North Carolina, United States University of North Carolina at Chapel Hill, Department of Biomedical Engineering, Chapel Hill. North Carolina, United States

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Lee SH, Broadwater MA, Ban W, Wang TWW, Kim HJ, Dumas JS, Vetreno RP, Herman MA, Morrow AL, Besheer J, Kash TL, Boettiger CA, Robinson DL, Crews FT, Shih YYI. An isotropic EPI database and analytical pipelines for rat brain resting-state fMRI. Neuroimage 2021;243:118541. [PMID: 34478824 PMCID: PMC8561231 DOI: 10.1016/j.neuroimage.2021.118541] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/08/2021] [Accepted: 08/30/2021] [Indexed: 12/24/2022] Open

Abstract

Resting-state functional magnetic resonance imaging (fMRI) has drastically expanded the scope of brain research by advancing our knowledge about the topologies, dynamics, and interspecies translatability of functional brain networks. Several databases have been developed and shared in accordance with recent key initiatives in the rodent fMRI community to enhance the transparency, reproducibility, and interpretability of data acquired at various sites. Despite these pioneering efforts, one notable challenge preventing efficient standardization in the field is the customary choice of anisotropic echo planar imaging (EPI) schemes with limited spatial coverage. Imaging with anisotropic resolution and/or reduced brain coverage has significant shortcomings including reduced registration accuracy and increased deviation in brain feature detection. Here we proposed a high-spatial-resolution (0.4 mm), isotropic, whole-brain EPI protocol for the rat brain using a horizontal slicing scheme that can maintain a functionally relevant repetition time (TR), avoid high gradient duty cycles, and offer unequivocal whole-brain coverage. Using this protocol, we acquired resting-state EPI fMRI data from 87 healthy rats under the widely used dexmedetomidine sedation supplemented with low-dose isoflurane on a 9.4 T MRI system. We developed an EPI template that closely approximates the Paxinos and Watson's rat brain coordinate system and demonstrated its ability to improve the accuracy of group-level approaches and streamline fMRI data pre-processing. Using this database, we employed a multi-scale dictionary-learning approach to identify reliable spatiotemporal features representing rat brain intrinsic activity. Subsequently, we performed k-means clustering on those features to obtain spatially discrete, functional regions of interest (ROIs). Using Euclidean-based hierarchical clustering and modularity-based partitioning, we identified the topological organizations of the rat brain. Additionally, the identified group-level FC network appeared robust across strains and sexes. The "triple-network" commonly adapted in human fMRI were resembled in the rat brain. Through this work, we disseminate raw and pre-processed isotropic EPI data, a rat brain EPI template, as well as identified functional ROIs and networks in standardized rat brain coordinates. We also make our analytical pipelines and scripts publicly available, with the hope of facilitating rat brain resting-state fMRI study standardization.

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Affiliation(s)

Sung-Ho Lee Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA,Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA,Department of Neurology, University of North Carolina, Chapel Hill, NC, USA,Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Corresponding authors at: Center for Animal MRI, 125 Mason Farm Road, CB# 7513, University of North Carolina, Chapel Hill, NC 27599, USA. (S.-H. Lee), (Y.-Y.I. Shih)
Margaret A. Broadwater Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA,Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA,Department of Neurology, University of North Carolina, Chapel Hill, NC, USA,Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA
Woomi Ban Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA,Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
Tzu-Wen Winnie Wang Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA,Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
Hyeon-Joong Kim Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA,Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA,Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
Jaiden Seongmi Dumas Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA,Department of Neurology, University of North Carolina, Chapel Hill, NC, USA,Department of Quantitative Biology, University of North Carolina, Chapel Hill, NC, USA
Ryan P. Vetreno Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Pharmacology, University of North Carolina, Chapel Hill, NC, USA
Melissa A. Herman Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Pharmacology, University of North Carolina, Chapel Hill, NC, USA
A. Leslie Morrow Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA,Department of Pharmacology, University of North Carolina, Chapel Hill, NC, USA
Joyce Besheer Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
Thomas L. Kash Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Pharmacology, University of North Carolina, Chapel Hill, NC, USA
Charlotte A. Boettiger Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA,Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, USA
Donita L. Robinson Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
Fulton T. Crews Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA,Department of Pharmacology, University of North Carolina, Chapel Hill, NC, USA
Yen-Yu Ian Shih Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA,Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA,Department of Neurology, University of North Carolina, Chapel Hill, NC, USA,Bowles Center for Alcohol Studies University of North Carolina, Chapel Hill, NC, USA,Corresponding authors at: Center for Animal MRI, 125 Mason Farm Road, CB# 7513, University of North Carolina, Chapel Hill, NC 27599, USA. (S.-H. Lee), (Y.-Y.I. Shih)

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Mandino F, Cerri DH, Garin CM, Straathof M, van Tilborg GAF, Chakravarty MM, Dhenain M, Dijkhuizen RM, Gozzi A, Hess A, Keilholz SD, Lerch JP, Shih YYI, Grandjean J. Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization. Front Neuroinform 2020;13:78. [PMID: 32038217 PMCID: PMC6987455 DOI: 10.3389/fninf.2019.00078] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 12/19/2019] [Indexed: 12/21/2022] Open

Affiliation(s)

Francesca Mandino Singapore Bioimaging Consortium, Agency for Science, Technology and Research, Singapore, Singapore Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
Domenic H. Cerri Center for Animal MRI, Department of Neurology, Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Clement M. Garin Direction de la Recherche Fondamentale, MIRCen, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique et aux Énergies Alternatives, Fontenay-aux-Roses, France Neurodegenerative Diseases Laboratory, Centre National de la Recherche Scientifique, UMR 9199, Université Paris-Sud, Université Paris-Saclay, Fontenay-aux-Roses, France
Milou Straathof Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
Geralda A. F. van Tilborg Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
M. Mallar Chakravarty Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada Department of Biological and Biomedical Engineering, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
Marc Dhenain Direction de la Recherche Fondamentale, MIRCen, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique et aux Énergies Alternatives, Fontenay-aux-Roses, France Neurodegenerative Diseases Laboratory, Centre National de la Recherche Scientifique, UMR 9199, Université Paris-Sud, Université Paris-Saclay, Fontenay-aux-Roses, France
Rick M. Dijkhuizen Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
Alessandro Gozzi Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Centre for Neuroscience and Cognitive Systems @ UNITN, Rovereto, Italy
Andreas Hess Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich–Alexander University Erlangen–Nürnberg, Erlangen, Germany
Shella D. Keilholz Department of Biomedical Engineering, Georgia Tech, Emory University, Atlanta, GA, United States
Jason P. Lerch Hospital for Sick Children, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada Wellcome Centre for Integrative NeuroImaging, University of Oxford, Oxford, United Kingdom
Yen-Yu Ian Shih Center for Animal MRI, Department of Neurology, Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Joanes Grandjean Singapore Bioimaging Consortium, Agency for Science, Technology and Research, Singapore, Singapore Department of Radiology and Nuclear Medicine, Donders Institute for Brain, Cognition, and Behaviour, Donders Institute, Radboud University Medical Center, Nijmegen, Netherlands

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Fanea L. Reference 3 T MRI parameters of the normal human eye. Phys Med 2018;47:50-57. [DOI: 10.1016/j.ejmp.2018.02.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 11/30/2017] [Accepted: 02/09/2018] [Indexed: 12/16/2022] Open

Broadwater MA, Lee SH, Yu Y, Zhu H, Crews FT, Robinson DL, Shih YYI. Adolescent alcohol exposure decreases frontostriatal resting-state functional connectivity in adulthood. Addict Biol 2018;23:810-823. [PMID: 28691248 PMCID: PMC5760482 DOI: 10.1111/adb.12530] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 05/18/2017] [Accepted: 05/23/2017] [Indexed: 12/11/2022]

Abstract

Connectivity of the prefrontal cortex (PFC) matures through adolescence, coinciding with emergence of adult executive function and top-down inhibitory control over behavior. Alcohol exposure during this critical period of brain maturation may affect development of PFC and frontolimbic connectivity. Adult rats exposed to adolescent intermittent ethanol (AIE; 5 g/kg ethanol, 25 percent v/v in water, intragastrically, 2-day-on, 2-day-off, postnatal day 25-54) or water control underwent resting-state functional MRI to test the hypothesis that AIE induces persistent changes in frontolimbic functional connectivity under baseline and acute alcohol conditions (2 g/kg ethanol or saline, intraperitoneally administered during scanning). Data were acquired on a Bruker 9.4-T MR scanner with rats under dexmedetomidine sedation in combination with isoflurane. Frontolimbic network regions-of-interest for data analysis included PFC [prelimbic (PrL), infralimbic (IL), and orbitofrontal cortex (OFC) portions], nucleus accumbens (NAc), caudate putamen (CPu), dorsal hippocampus, ventral tegmental area, amygdala, and somatosensory forelimb used as a control region. AIE decreased baseline resting-state connectivity between PFC subregions (PrL-IL and IL-OFC) and between PFC-striatal regions (PrL-NAc, IL-CPu, IL-NAc, OFC-CPu, and OFC-NAc). Acute ethanol induced negative blood-oxygen-level-dependent changes within all regions of interest examined, along with significant increases in functional connectivity in control, but not AIE animals. Together, these data support the hypothesis that binge-like adolescent alcohol exposure causes persistent decreases in baseline frontolimbic (particularly frontostriatal) connectivity and alters sensitivity to acute ethanol-induced increases in functional connectivity in adulthood.

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Van Den Berge N, Albaugh DL, Salzwedel A, Vanhove C, Van Holen R, Gao W, Stuber GD, Shih YYI. Functional circuit mapping of striatal output nuclei using simultaneous deep brain stimulation and fMRI. Neuroimage 2017;146:1050-1061. [PMID: 27825979 PMCID: PMC5322177 DOI: 10.1016/j.neuroimage.2016.10.049] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 09/08/2016] [Accepted: 10/31/2016] [Indexed: 01/11/2023] Open

Albaugh DL, Salzwedel A, Van Den Berge N, Gao W, Stuber GD, Shih YYI. Functional Magnetic Resonance Imaging of Electrical and Optogenetic Deep Brain Stimulation at the Rat Nucleus Accumbens. Sci Rep 2016;6:31613. [PMID: 27601003 PMCID: PMC5013271 DOI: 10.1038/srep31613] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 07/25/2016] [Indexed: 01/16/2023] Open

Zhou ZC, Salzwedel AP, Radtke-Schuller S, Li Y, Sellers KK, Gilmore JH, Shih YYI, Fröhlich F, Gao W. Resting state network topology of the ferret brain. Neuroimage 2016;143:70-81. [PMID: 27596024 DOI: 10.1016/j.neuroimage.2016.09.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 08/17/2016] [Accepted: 09/01/2016] [Indexed: 12/22/2022] Open

Affiliation(s)

Zhe Charles Zhou Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
Andrew P Salzwedel Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
Susanne Radtke-Schuller Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
Yuhui Li Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
Kristin K Sellers Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
John H Gilmore Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
Yen-Yu Ian Shih Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Small Animal Imaging Facility, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
Flavio Fröhlich Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States; Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
Wei Gao Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.

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Dynamic perfusion and diffusion MRI of cortical spreading depolarization in photothrombotic ischemia. Neurobiol Dis 2014;71:131-9. [PMID: 25066776 DOI: 10.1016/j.nbd.2014.07.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Revised: 06/15/2014] [Accepted: 07/16/2014] [Indexed: 11/21/2022] Open

Duong TQ. Magnetic resonance imaging of the retina: from mice to men. Magn Reson Med 2014;71:1526-30. [PMID: 23716429 PMCID: PMC3783549 DOI: 10.1002/mrm.24797] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Revised: 03/25/2013] [Accepted: 04/15/2013] [Indexed: 11/09/2022]

Shih YYI, De La Garza BH, Huang S, Li G, Wang L, Duong TQ. Comparison of retinal and cerebral blood flow between continuous arterial spin labeling MRI and fluorescent microsphere techniques. J Magn Reson Imaging 2013;40:609-15. [PMID: 24227681 DOI: 10.1002/jmri.24407] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Accepted: 08/05/2013] [Indexed: 01/09/2023] Open

Shih YYI, Yash TV, Rogers B, Duong TQ. FMRI of deep brain stimulation at the rat ventral posteromedial thalamus. Brain Stimul 2013;7:190-3. [PMID: 24309153 DOI: 10.1016/j.brs.2013.11.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2013] [Revised: 09/25/2013] [Accepted: 11/01/2013] [Indexed: 10/26/2022] Open

Lai HY, Younce JR, Albaugh DL, Kao YCJ, Shih YYI. Functional MRI reveals frequency-dependent responses during deep brain stimulation at the subthalamic nucleus or internal globus pallidus. Neuroimage 2013;84:11-8. [PMID: 23988274 DOI: 10.1016/j.neuroimage.2013.08.026] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Revised: 07/20/2013] [Accepted: 08/13/2013] [Indexed: 11/15/2022] Open

Li G, Kiel JW, Cardenas DP, De La Garza BH, Duong TQ. Postocclusive reactive hyperemia occurs in the rat retinal circulation but not in the choroid. Invest Ophthalmol Vis Sci 2013;54:5123-31. [PMID: 23821190 DOI: 10.1167/iovs.13-12404] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open

Zhang Y, Harrison JM, Nateras OSE, Chalfin S, Duong TQ. Decreased retinal-choroidal blood flow in retinitis pigmentosa as measured by MRI. Doc Ophthalmol 2013;126:187-97. [PMID: 23408312 DOI: 10.1007/s10633-013-9374-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2012] [Accepted: 01/28/2013] [Indexed: 11/25/2022]

Shih YYI, Chen YY, Lai HY, Kao YCJ, Shyu BC, Duong TQ. Ultra high-resolution fMRI and electrophysiology of the rat primary somatosensory cortex. Neuroimage 2013;73:113-20. [PMID: 23384528 DOI: 10.1016/j.neuroimage.2013.01.062] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2012] [Revised: 01/16/2013] [Accepted: 01/28/2013] [Indexed: 11/29/2022] Open

Shih YYI, Wang L, De La Garza BH, Li G, Cull G, Kiel JW, Duong TQ. Quantitative retinal and choroidal blood flow during light, dark adaptation and flicker light stimulation in rats using fluorescent microspheres. Curr Eye Res 2013;38:292-8. [PMID: 23317112 DOI: 10.3109/02713683.2012.756526] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]