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Jingyuan E Chen

Showing results (1-10 of 33) with videos related to

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Current Opinion in Biomedical Engineering|June 7, 2021
Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamicsCatie Chang, Jingyuan E Chen
Neuroimage|December 16, 2014
BOLD fractional contribution to resting-state functional connectivity above 0.1 HzJingyuan E Chen, Gary H Glover
Neuropsychology Review|August 31, 2015
Erratum to: Functional Magnetic Resonance Imaging MethodsJingyuan E Chen, Gary H Glover
Neuropsychology Review|August 8, 2015
Functional Magnetic Resonance Imaging MethodsJingyuan E Chen, Gary H Glover
Neuroimaging Clinics of North America|October 8, 2017
Methods and Considerations for Dynamic Analysis of Functional MR Imaging DataJingyuan E Chen, Mikail Rubinov, Catie Chang
Brain Connectivity|November 24, 2016
Nuisance Regression of High-Frequency Functional Magnetic Resonance Imaging Data: Denoising Can Be NoisyJingyuan E Chen, Hesamoddin Jahanian, Gary H Glover
Nature Neuroscience|April 23, 2026
BOLD fMRI reflects both vascular and metabolic signalsJingyuan E Chen, Bruce R Rosen, Jonathan R Polimeni
Journal of Magnetic Resonance Imaging : JMRI|June 5, 2024
PET-MRI Applications and Future Prospects in PsychiatryNicole R Zürcher, Jingyuan E Chen, Hsiao-Ying Wey
Neuroimage|February 9, 2019
On the analysis of rapidly sampled fMRI dataJingyuan E Chen, Jonathan R Polimeni, Saskia Bollmann, et al.
Neuroimage|February 10, 2015
Introducing co-activation pattern metrics to quantify spontaneous brain network dynamicsJingyuan E Chen, Catie Chang, Michael D Greicius, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Current Opinion in Biomedical Engineering|June 7, 2021
Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamicsCatie Chang, Jingyuan E Chen
Neuroimage|December 16, 2014
BOLD fractional contribution to resting-state functional connectivity above 0.1 HzJingyuan E Chen, Gary H Glover
Neuropsychology Review|August 31, 2015
Erratum to: Functional Magnetic Resonance Imaging MethodsJingyuan E Chen, Gary H Glover
Neuropsychology Review|August 8, 2015
Functional Magnetic Resonance Imaging MethodsJingyuan E Chen, Gary H Glover
Neuroimaging Clinics of North America|October 8, 2017
Methods and Considerations for Dynamic Analysis of Functional MR Imaging DataJingyuan E Chen, Mikail Rubinov, Catie Chang
Brain Connectivity|November 24, 2016
Nuisance Regression of High-Frequency Functional Magnetic Resonance Imaging Data: Denoising Can Be NoisyJingyuan E Chen, Hesamoddin Jahanian, Gary H Glover
Nature Neuroscience|April 23, 2026
BOLD fMRI reflects both vascular and metabolic signalsJingyuan E Chen, Bruce R Rosen, Jonathan R Polimeni
Journal of Magnetic Resonance Imaging : JMRI|June 5, 2024
PET-MRI Applications and Future Prospects in PsychiatryNicole R Zürcher, Jingyuan E Chen, Hsiao-Ying Wey
Neuroimage|February 9, 2019
On the analysis of rapidly sampled fMRI dataJingyuan E Chen, Jonathan R Polimeni, Saskia Bollmann, et al.
Neuroimage|February 10, 2015
Introducing co-activation pattern metrics to quantify spontaneous brain network dynamicsJingyuan E Chen, Catie Chang, Michael D Greicius, et al.
Pageof 4