Publications of Nikolai Kapralov

Kapralov, N.; Idaji, M. J.; Stephani, T.; Studenova, A.; Vidaurre, C.; Ros, T.; Villringer, A.; Nikulin, V. V.: 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 (5) (2024)

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

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

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. 15th International Conference on Bioelectromagnetism (ICBEM 2024), Espoo, Finland (2024)

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. Neural Traces 2024, Berlin, Germany (2024)

De Poi, E.; Grigoryan, K.; Vidaurre, C.; Kapralov, N.; Sehm, B.; Nikulin, V. V.; Villringer, A.: Exploring the effects of dopaminergic modulation on spatio-spectral EEG dynamics during brain-computer interface learning: A double-blind analysis. 12th MindBrainBody Symposium 2025, Berlin, Germany (2025)

Germanova, K.; Studenova, A.; Kapralov, N.; Gippert, M.; Bredikhin, D.; Klucharev, V.; Villringer, A.; Herrojo, R. M.; Nikulin, V. V.: Cardiac interoception and motor preparation in Libet's task. 12th MindBrainBody Symposium 2025, Berlin, Germany (2025)

Steinfath, T. P.; Azanova, M.; Kapralov, N.; Loesche, T.; Nikulin, V. V.; Villringer, A.: A systematic review of methods used in heartbeat evoked responses research. 12th MindBrainBody Symposium 2025, Berlin, Germany (2025)

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. CuttingEEGX Conference, Nijmegen, the Netherlands (2024)

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. Annual Meeting of the Society for Neuroscience 2024 (SfN), Chicago, IL, USA (2024)

Herzog, N.; Cesnaite, E.; Steinfath, T. P.; Kapralov, N.; Fallon, S. J.; Nikulin, V. V.; Villringer, A.; Janssen , L. K.; Horstmann, A.: Can intrinsic network configurations predict working memory gating? Salzburg Mind Brain Annual Meeting (SAMBA), Salzburg, Austria (2024)

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. ICBEM 2024 – 15th International Conference on Bioelectromagnetism, Espoo, Finland (2024)

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. Neural Traces 2024, Berlin, Germany (2024)

Steinfath, T. P.; Azanova, M.; Kapralov, N.; Nikulin, V. V.; Villringer, A.: Resting-state heartbeat-evoked potential as a trait marker in anxiety. 11th MindBrainBody Symposium 2024, Berlin, Germany (2024)

Azanova, M.; Steinfath, T. P.; Kapralov, N.; Nikulin, V. V.; Villringer, A.: Resting-state heartbeat-evoked potential as a trait in anxiety. Cutting Gardens, Frankfurt, Germany (2023)

Kapralov, N.; Jamshidi Idaji, M.; Stephani, T.; Studenova, A.; Vidaurre, C.; Ros, T.; Villringer, A.; 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. Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting, Virtual (2023)

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. Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting , Virtual (2023)

Kapralov, N.; Jamshidi Idaji, M.; Stephani, T.; Studenova, A.; Vidaurre, C.; Ros, T.; Villringer, A.; Nikulin, V. V.: Multiverse analysis of longitudinal changes in sensorimotor functional connectivity during brain-computer interface training. 12th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2023)

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. 29th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Montréal, QC, Canada (2023)

Kapralov, N.; Jamshidi Idaji, M.; Stephani, T.; Studenova, A.; Vidaurre, C.; Ros, T.; Villringer, A.; Nikulin, V. V.: Multiverse analysis of longitudinal changes in sensorimotor functional connectivity during brain-computer interface training. 10th MindBrainBody Symposium 2023, Berlin, Germany (2023)