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In vivo direct imaging of neuronal activity at high temporo-spatial resolution

View ORCID ProfilePhan Tan Toi, View ORCID ProfileHyun Jae Jang, View ORCID ProfileKyeongseon Min, View ORCID ProfileSung-Phil Kim, View ORCID ProfileSeung-Kyun Lee, View ORCID ProfileJongho Lee, View ORCID ProfileJeehyun Kwag, View ORCID ProfileJang-Yeon Park
doi: https://doi.org/10.1101/2021.05.21.444581
Phan Tan Toi
1Department of Biomedical Engineering, Sungkyunkwan University; Suwon 16419, Republic of Korea
2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University; Suwon 16419, Republic of Korea
3Center for Neuroscience Imaging Research, Institute for Basic Science; Suwon 16419, Republic of Korea
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Hyun Jae Jang
4Department of Brain and Cognitive Engineering, Korea University; Seoul 02841, Republic of Korea
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Kyeongseon Min
5Department of Electrical and Computer Engineering, Seoul National University; Seoul 08826, Republic of Korea
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Sung-Phil Kim
6Department of Biomedical Engineering, Ulsan National Institute of Science and Technology; Ulsan 44919, Republic of Korea
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Seung-Kyun Lee
1Department of Biomedical Engineering, Sungkyunkwan University; Suwon 16419, Republic of Korea
2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University; Suwon 16419, Republic of Korea
3Center for Neuroscience Imaging Research, Institute for Basic Science; Suwon 16419, Republic of Korea
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Jongho Lee
5Department of Electrical and Computer Engineering, Seoul National University; Seoul 08826, Republic of Korea
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Jeehyun Kwag
4Department of Brain and Cognitive Engineering, Korea University; Seoul 02841, Republic of Korea
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  • For correspondence: jyparu@skku.edu jkwag@korea.ac.kr
Jang-Yeon Park
1Department of Biomedical Engineering, Sungkyunkwan University; Suwon 16419, Republic of Korea
2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University; Suwon 16419, Republic of Korea
3Center for Neuroscience Imaging Research, Institute for Basic Science; Suwon 16419, Republic of Korea
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  • For correspondence: jyparu@skku.edu jkwag@korea.ac.kr
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Abstract

There has been a longstanding demand for noninvasive neuroimaging methods capable of detecting neuronal activity at both high temporal and spatial resolution. Here, we propose a novel method that enables Direct Imaging of Neuronal Activity for functional MRI (termed DIANA-fMRI) that can dynamically image spiking activity in milliseconds precision, while retaining the original benefit of high spatial resolution of MRI. DIANA-fMRI was demonstrated through in vivo mice brain imaging at 9.4 T applying electrical whisker-pad stimulation, directly imaging the spiking activity as well as capturing its sequential propagation along the thalamocortical pathway, as further confirmed through in vivo spike recording and optogenetics. DIANA-fMRI will open up new avenues in brain science by providing a deeper understanding of the brain’s functional organization including neural networks.

Competing Interest Statement

The authors have declared no competing interest.

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Posted May 23, 2021.
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In vivo direct imaging of neuronal activity at high temporo-spatial resolution
Phan Tan Toi, Hyun Jae Jang, Kyeongseon Min, Sung-Phil Kim, Seung-Kyun Lee, Jongho Lee, Jeehyun Kwag, Jang-Yeon Park
bioRxiv 2021.05.21.444581; doi: https://doi.org/10.1101/2021.05.21.444581
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In vivo direct imaging of neuronal activity at high temporo-spatial resolution
Phan Tan Toi, Hyun Jae Jang, Kyeongseon Min, Sung-Phil Kim, Seung-Kyun Lee, Jongho Lee, Jeehyun Kwag, Jang-Yeon Park
bioRxiv 2021.05.21.444581; doi: https://doi.org/10.1101/2021.05.21.444581

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