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Sensorimotor BCI performance depends on signal-to-noise ratio but not phase synchronization of the mu rhythm: A multiverse analysis of longitudinal data

MPS-Authors
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Kapralov,  Nikolai
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Jamshidi Idaji,  Mina       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Stephani,  Tilman       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Studenova,  Alina
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Nikulin,  Vadim V.       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., et al. (2023). Sensorimotor BCI performance depends on signal-to-noise ratio but not phase synchronization of the mu rhythm: A multiverse analysis of longitudinal data. Poster presented at Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting, Virtual.


Cite as: https://hdl.handle.net/21.11116/0000-000D-E483-D
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