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  Real-Time fMRI Brain Mapping in Animals

Choi, S., Takahashi, K., Jiang, Y., Köhler, S., Zeng, H., Wang, Q., et al. (2020). Real-Time fMRI Brain Mapping in Animals. Journal of Visualized Experiments, 2020(163). doi:10.3791/61463.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-3464-E Version Permalink: http://hdl.handle.net/21.11116/0000-0007-3467-B
Genre: Journal Article

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 Creators:
Choi, S1, 2, Author              
Takahashi, K1, 2, Author              
Jiang, Y1, 2, Author              
Köhler, S, Author
Zeng, H1, 2, Author              
Wang, Q1, 2, Author              
Ma, Y1, 2, Author              
Yu, X1, 2, Author              
Affiliations:
1Research Group Translational Neuroimaging and Neural Control, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528695              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Dynamic fMRI responses vary largely according to the physiological conditions of animals either under anesthesia or in awake states. We developed a real-time fMRI platform to guide experimenters to monitor fMRI responses instantaneously during acquisition, which can be used to modify the physiology of animals to achieve desired hemodynamic responses in animal brains. The real-time fMRI set-up is based on a 14.1T preclinical MRI system, enabling the real-time mapping of dynamic fMRI responses in the primary forepaw somatosensory cortex (FP-S1) of anesthetized rats. Instead of a retrospective analysis to investigate confounding sources leading to the variability of fMRI signals, the real-time fMRI platform provides a more effective scheme to identify dynamic fMRI responses using customized macro-functions and a common neuroimage analysis software in the MRI system. Also, it provides immediate troubleshooting feasibility and a real-time biofeedback stimulation paradigm for brain functional studies in animals.

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 Dates: 2020-09
 Publication Status: Published online
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3791/61463
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Title: Journal of Visualized Experiments
  Other : Journal of Visualized Experiments: JoVE
  Abbreviation : J. Vis. Exp.
Source Genre: Journal
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Publ. Info: Rockville Pike, Bethesda MD : JoVE
Pages: - Volume / Issue: 2020 (163) Sequence Number: - Start / End Page: - Identifier: ISSN: 1940-087X
CoNE: https://pure.mpg.de/cone/journals/resource/1940087X