EEG-LLAMAS: an open source, low latency, EEG-fMRI neurofeedback platform

Joshua Levitt; Zinong Yang; Stephanie D. Williams; Stefan E. Lütschg Espinosa; Allan Garcia-Casal; Laura D. Lewis

doi:10.1101/2022.11.21.515651

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EEG-LLAMAS: an open source, low latency, EEG-fMRI neurofeedback platform

View ORCID ProfileJoshua Levitt, View ORCID ProfileZinong Yang, View ORCID ProfileStephanie D. Williams, View ORCID ProfileStefan E. Lütschg Espinosa, Allan Garcia-Casal, View ORCID ProfileLaura D. Lewis

doi: https://doi.org/10.1101/2022.11.21.515651

Joshua Levitt

aDepartment of Biomedical Engineering, Boston University

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Zinong Yang

aDepartment of Biomedical Engineering, Boston University

bGraduate Program of Neuroscience, Boston University

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Stephanie D. Williams

cDepartment of Psychological & Brain Sciences, Boston University

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Stefan E. Lütschg Espinosa

aDepartment of Biomedical Engineering, Boston University

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Allan Garcia-Casal

aDepartment of Biomedical Engineering, Boston University

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Laura D. Lewis

aDepartment of Biomedical Engineering, Boston University

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For correspondence: ldlewis@bu.edu

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EEG-LLAMAS: an open source, low latency, EEG-fMRI neurofeedback platform

Joshua Levitt, Zinong Yang, Stephanie D. Williams, Stefan E. Lütschg Espinosa, Allan Garcia-Casal, Laura D. Lewis

bioRxiv 2022.11.21.515651; doi: https://doi.org/10.1101/2022.11.21.515651

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EEG-LLAMAS: an open source, low latency, EEG-fMRI neurofeedback platform

Joshua Levitt, Zinong Yang, Stephanie D. Williams, Stefan E. Lütschg Espinosa, Allan Garcia-Casal, Laura D. Lewis

bioRxiv 2022.11.21.515651; doi: https://doi.org/10.1101/2022.11.21.515651

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