Publikationen von Vadim V. Nikulin

Waterstraat, G.; Iemi, L.; de Almeida Ivo, I.; Curio, G.; Nikulin, V. V.: Disentangling the effect of pre-stimulus oscillatory power on visual detection using spatio-spectral decomposition and heterogeneous choice models. In Clinical Neurophysiology, 129 (8), S. e75 - e75. Elsevier, Amsterdam (2018)

Nikulin, V. V.: Cortico-muscular coherence: Optimization, phase and amplitude interactions, clinical perspective. In Biomedizinische Technik, 59 (S1), S. S208 - S208. de Gruyter, Berlin (2014)

Steinfath, T. P.; Sander, C.; Nikulin, V. V.; Villringer, A.: Pre-stimulus heartbeat evoked potentials predict P300 and reaction time in an auditory oddball task: Real or spurious effect? Cognitive Neuroscience Conference on Body-Brain Waves, Salerno, Italy (2023)

Zhang, J.; Sander, C.; Hensch, T.; Hegerl, U.; Schomerus, G.; Witte, A. V.; Curio, G.; Villringer, A.; Nikulin, V. V.: Heart-brain interaction in Parkinson's disease. Cognitive Neuroscience Conference on Body-Brain Waves, Salerno, Italy (2023)

Gippert, M.; Franke, L.; Heed, T.; Howard, I. S.; Villringer, A.; Sehm, B.; Nikulin, V. V.: Motor imagery of linked movements enhances motor adaptation. RIO Group Conference 2023 (Research in Imagery and Observation Group) , University of Limerick, Ireland (2023)

Studenova, A.; Villringer, A.; Nikulin, V. V.: On the relevance of alpha-rhythm modulation to the generation of readiness potential. Science of Consciousness (TSC 2023), Taormina, Sicily, Italy (2023)

Gerster, M.; Waterstraat, G.; Litvak, V.; Curio, G.; Neumann, J.; Nikulin, V. V.: Exploring a link between the spectral 1/f-exponent and connectivity in Parkinson's disease. Jahreskongress DGKN23 der Deutschen Gesellschaft für Klinische Neurophysiologie und Funktionelle Bildgebung (DGKN) e.V., University Medical Center Hamburg-Eppendorf, Germany (2023)

Zhang, J.; Sander, C.; Hensch, T.; Hegerl, U.; Schomerus, G.; Witte, A. V.; Curio, G.; Villringer, A.; Nikulin, V. V.: Heart-brain interaction in healthy elderly and during progression of Parkinson's disease. 10th MindBrainBody Symposium 2023, Berlin, Germany (2023)

Nikulin, V. V.: EEG research: Basics, pitfalls, and hands-on analysis. 11th IMPRS NeuroCom Summer School, Leipzig, Germany (2022)

Nikulin, V. V.: Predicting task performance and brain responses with ongoing neural activity. 10th International Winter Conference on Brain-Computer Interface IEEE, Gangwon-do, Republic of Korea (2022)

Nikulin, V. V.: Effects of neuronal oscillations on the generation of evoked responses: Mechanisms/approaches. 20th World Congress of Psychophysiology (IOP2021), Virtual (2021)

Nikulin, V. V.: Mapping reliability, multimuscle, map quantification software. Contemporary TMS Motor Mapping in Neurorehabilitation Workshop, Virtual (2021)

Nikulin, V. V.: Neuronal oscillations and evoked responses as correlates of cortical excitability. Neurorehabilitation 2021, Moscow, Russia (2021)

Nikulin, V. V.: Structural, neurophysiological and functional correlates of alpha oscillations. School of Psychology, University of Birmingham, United Kingdom (2021)

Nikulin, V. V.: Frequently overlooked features of electrophysiological recordings: Ultra-slow monochromatic oscillations and non-zero mean oscillations. Imaging Neuroscience, UCL Queen Square Institute of Neurology, United Kingdom (2020)

Nikulin, V. V.: Clinical and neurotechnological aspects of neural dynamics in EEG/MEG recordings. Brain-Computer Interface: Science and Practice Conference, Samara, Russia (2019)

Nikulin, V. V.: Long-range temporal correlations in neuronal oscillations. The Advanced Methods for Neuroimaging Data Analysis Workshop, Lille University, Lille, France (2019)

Nikulin, V. V.: Pitfalls in interpreting complex neuroimaging data. Workshop at the 9th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2019)

Nikulin, V. V.: Long-range temporal correlations in neuronal oscillations. Seminar Series, Center for Cognitive Neuroscience Berlin, FU Berlin, Germany (2019)

Nikulin, V. V.: Frequently overlooked features of electrophysiological recordings: Ultra-slow monochromatic oscillations, non-zero mean oscillations and long-range temporal correlations. SFB 936 Methods Academy, Dept. of Neurophysiology and Pathophysiology, Universitätsklinikum Hamburg-Eppendorf, Germany (2019)