Publications of Nikolai Kapralov

Kapralov, N., Idaji, M. J., Stephani, T., Studenova, A., Vidaurre, C., Ros, T., … Nikulin, V. V. (2024). 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. Journal of Neural Engineering, 21. doi:10.1088/1741-2552/ad7a24

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., Studenova, A., Nolte, G., Haufe, S., Villringer, A., & Nikulin, V. V. Optimization of M/EEG spatial filters for extraction of ROI time series based on cross-talk function. Talk_at_event presented at the 15th International Conference on Bioelectromagnetism (ICBEM 2024), Espoo, Finland. Retrieved from http://hdl.handle.net/21.11116/0000-0010-953A-5

Kapralov, N., Studenova, A., Nolte, G., Haufe, S., Villringer, A., & Nikulin, V. V. Optimization of M/EEG spatial filters for extraction of ROI time series based on cross-talk function. Talk_at_event presented at the Neural Traces 2024, Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0010-9537-8

Kapralov, N., Studenova, A., Jamshidi Idaji, M., Villringer, A., & Nikulin, V. V. MEEGsim: A Python package for simulating spontaneous M/EEG with ground truth connectivity patterns. Poster presented at the CuttingEEGX Conference, Nijmegen, the Netherlands. Retrieved from http://hdl.handle.net/21.11116/0000-0010-8B41-8

Kapralov, N., Studenova, A., Nolte, G., Haufe, S., Villringer, A., & Nikulin, V. V. Improving the estimation of M/EEG-based connectivity using spatial filters with fine-tuned crosstalk. Poster presented at the Annual Meeting of the Society for Neuroscience 2024 (SfN), Chicago, IL, USA. Retrieved from http://hdl.handle.net/21.11116/0000-0010-8B5A-D

Herzog, N., Cesnaite, E., Steinfath, T. P., Kapralov, N., Fallon, S. J., Nikulin, V. V., … Horstmann, A. Can intrinsic network configurations predict working memory gating? Poster presented at the Salzburg Mind Brain Annual Meeting (SAMBA), Salzburg, Austria. Retrieved from http://hdl.handle.net/21.11116/0000-000F-F6C9-9

Kapralov, N., Studenova, A., Nolte, G., Haufe, S., 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 ICBEM 2024 – 15th International Conference on Bioelectromagnetism, Espoo, Finland. Retrieved from http://hdl.handle.net/21.11116/0000-0010-8B53-4

Kapralov, N., Studenova, A., Nolte, G., Haufe, S., 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 Neural Traces 2024, Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0010-8B58-F

Steinfath, T. P., Azanova, M., Kapralov, N., Nikulin, V. V., & Villringer, A. Resting-state heartbeat-evoked potential as a trait marker in anxiety. Poster presented at the 11th MindBrainBody Symposium 2024, Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0010-90D3-C

Azanova, M., Steinfath, T. P., Kapralov, N., Nikulin, V. V., & Villringer, A. Resting-state heartbeat-evoked potential as a trait in anxiety. Poster presented at the Cutting Gardens, Frankfurt, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000F-F032-9

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