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  Predict the slow oscillation of the single-vessel resting-state fMRI signal of rats and humans with echo state networks

Sobczak, F., He, Y., & Yu, X. (2018). Predict the slow oscillation of the single-vessel resting-state fMRI signal of rats and humans with echo state networks. In Joint Annual Meeting ISMRM-ESMRMB 2018.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-7DB3-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-93AB-8
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Sobczak, F1, 2, Author              
He, Y1, 2, Author              
Yu, X1, 2, Author              
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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, ou_1497794              

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 Abstract: Single-vessel fMRI has enabled the detection of slow fluctuations (<0.1Hz) of the hemodynamic fMRI signal from individual vessels in both rat and human brains. The Echo State Network (ESN) has been used to encode the slowly changing temporal dynamics of individual vessels by training the network to predict the oscillatory signals from individual vessels 10 seconds ahead in time. Distinct network reservoirs are optimized for human and animal vascular signals, showing high correlation for the ESN-predictive signal with the original fresh data. This work establishes ESN-based signal prediction for the slow-oscillatory brain fMRI signal in real-time.

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 Dates: 2018-06
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: SobczakHY2018
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Title: Joint Annual Meeting ISMRM-ESMRMB 2018
Place of Event: Paris, France
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Title: Joint Annual Meeting ISMRM-ESMRMB 2018
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 0436 Start / End Page: - Identifier: -