한빛사논문
Phan Tan Toi1,2†, Hyun Jae Jang3,4†, Kyeongseon Min5, Sung-Phil Kim6, Seung-Kyun Lee1,2‡, Jongho Lee5, Jeehyun Kwag3,7*, Jang-Yeon Park1,2*
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
2Department ofIntelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea.
3Department ofBrain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea.
4Division of Computer Engineering, Baekseok University, Cheonan 31065, Republic of Korea.
5Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
6Department of Biomedical Engineering, Ulsan National Instituteof Science and Technology, Ulsan 44919, Republic of Korea.
7Department of Brain and Cognitive Sciences, Seoul National University, Seoul 08826, Republic of Korea.
*Corresponding author. J.-Y.P.; J.K.
†These authors contributed equally to this work.
‡Present address: GE Global Research, Niskayuna, NY 12309, USA.
Abstract
There has been a long-standing demand for noninvasive neuroimaging methods that can detect neuronal activity at both high temporal and high spatial resolution. We present a two-dimensional fast line-scan approach that enables direct imaging of neuronal activity with millisecond precision while retaining the high spatial resolution of magnetic resonance imaging (MRI). This approach was demonstrated through in vivo mouse brain imaging at 9.4 tesla during electrical whisker-pad stimulation. In vivo spike recording and optogenetics confirmed the high correlation of the observed MRI signal with neural activity. It also captured the sequential and laminar-specific propagation of neuronal activity along the thalamocortical pathway. This high-resolution, direct imaging of neuronal activity will open up new avenues in brain science by providing a deeper understanding of the brain's functional organization, including the temporospatial dynamics of neural networks.
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