Publications of Nikolai Kapralov

Jorajuría, T., Nikulin, V. V., Kapralov, N., Gómez, M., & Vidaurre, C. (2023). MEANSP: How many channels are needed to predict the performance of a SMR-based BCI? IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4931–4931.

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., … Nikulin, V. V. (2023). Multiverse analysis of longitudinal changes in sensorimotor functional connectivity during brain-computer interface training. In Clinical Neurophysiology (Vol. 148, pp. e47–e48). Amsterdam: Elsevier.

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., … Nikulin, V. V. 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 the Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting, Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000D-E483-D

Kapralov, N., Studenova, A., Nolte, G., Haufe, S., Ros, T., Villringer, A., & Nikulin, V. V. Optimization of M/EEG spatial filters for extraction of ROI time series based on cross-talk function. Poster presented at the Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting , Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000D-E4C1-7

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., … Nikulin, V. V. Multiverse analysis of longitudinal changes in sensorimotor functional connectivity during brain-computer interface training. Poster presented at the 12th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000D-E47C-7

Kapralov, N., Studenova, A., Nolte, G., Haufe, S., Ros, T., Villringer, A., & Nikulin, V. V. Optimization of M/EEG spatial filters for extraction of ROI time series based on cross-talk function. Poster presented at the 29th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Montréal, QC, Canada. Retrieved from http://hdl.handle.net/21.11116/0000-000D-E4BF-B

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., … Nikulin, V. V. Multiverse analysis of longitudinal changes in sensorimotor functional connectivity during brain-computer interface training. Poster presented at the 10th MindBrainBody Symposium 2023, Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000D-E477-C

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., … Nikulin, V. V. Multiverse analysis of longitudinal changes in sensorimotor functional connectivity during brain-computer interface training. Poster presented at the Congress for Clinical Neuroscience with Advanced Training Academy (DGKN23), Hamburg, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000D-E47E-5

Kapralov, N., Stephani, T., Ros, T., Villringer, A., & Nikulin, V. V. Extracting signatures of voluntary modulation of brain activity from electrophysiological recordings: Study proposal. Poster presented at the 10th IMPRS NeuroCom Summer School, Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000A-A8DF-E

Kapralov, N., Jamshidi Idaji, M., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., … Nikulin, V. V. (2023, October 2). Sensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data. BioRxiv. doi:10.1101/2023.09.30.558407