Никулин Вадим Валерьевич
- Ведущий научный сотрудник:Центр биоэлектрических интерфейсов
- Ведущий научный сотрудник:Центр нейроэкономики и когнитивных исследований
- Начал работать в НИУ ВШЭ в 2014 году.
- Научно-педагогический стаж: 8 лет.
Образование, учёные степени
- 2001PhD
- 1994
Специалитет: Санкт-Петербургский государственный университет, специальность «Физиология»
Выпускные квалификационные работы студентов
- Магистратура
Мясникова А. С. «Оценка кросс-частотных нейрональных взаимодействий в мозге человека». Факультет социальных наук, 2018
Конференции
- 2016SOCIETY FOR NEUROSCIENCE (Chicago). Доклад: State-dependent impact of Transcranial Alternating Current Stimulation of the motor mirror system
- 2014
Cognitive Control, Communication and Perception: Psychological and Neurobiological Aspects (Москва). Доклад: Long-range temporal correlations in Neuronal Oscillations
Neuroscience 2014 Annual Meeting - Society for Neuroscience (Вашингтон). Доклад: Effect of Transcranial Magnetic Stimulation on Long Range Temporal Correlations in the motor cortex of the human brain
Cognitive Control, Communication and Perception: Psychological and Neurobiological Aspects (Москва). Доклад: Multimodal assessment of the motor system for hand motor recovery prognosis in chronic ischemic stroke patients - fMRI -DTI -nTMS approach
Публикации35
- Статья Volk D., Дубинин И. В., Myasnikova A., Gutkin B., Nikulin V. Generalized Cross-Frequency Decomposition: A Method for the Extraction of Neuronal Components Coupled at Different Frequencies // Frontiers in Neuroinformatics. 2018. Vol. 12. No. 72 doi
- Глава книги Moiseeva V., Nazarova M., Novikov P., Иванина Е. О., Kozlova K., Nikulin V. Stability of cortical muscle representations: TMS motor mapping test-retest study, in: 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2018. Online.. San Diego : Society for Neuroscience, 2018. P. 1-2.
- Статья Iscan Z., Nikulin V. Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations. // Plos One. 2018. Vol. 13. No. 1 doi (в печати)
- Статья Pavel A. Novikov, Maria A. Nazarova, Vadim V. Nikulin. TMSmap – software for quantitative analysis of TMS mapping results // Frontiers in Human Neuroscience. 2018. Vol. 12. No. 239. P. 1-12. doi
- Статья Благовещенский Е. Д., Агранович О. Е., Кононова Е. Л., Назарова М. А., Баиндурашвили А. Г., Шестакова А. Н., Габбасова Е. Л., Никулин В. В. Особенности электрофизиологической активности коры больших полушарий мозга у детей с артрогрипозом // Нервно-мышечные болезни. 2018. Т. 8. № 2. С. 25-32. doi
- Статья Kulikova S., Nikulin V., Dobrynina L. A., Nazarova M. A Possible Sensory Interpretation of Alternate Motor Fibers Relating to Structural Reserve during Stroke Recovery // Frontiers in Neurology. 2017. Vol. 8. P. 1-4. doi
- Статья Gärtner M., Irrmischer M., Winnebeck E., Fissler M., Huntenburg J., Schroeter T., Bajbouj M., Linkenkaer-Hansen K., Nikulin V., Barnhofer T. Aberrant Long-Range Temporal Correlations in Depression Are Attenuated after Psychological Treatment // Frontiers in Human Neuroscience. 2017. No. 1. P. 1-10. doi
- Статья Mahjoory K., Nikulin V., Botrel L., Linkenkaer-Hansen K., Fato M., Haufe S. Consistency of EEG source localization and connectivity estimates // Neuroimage. 2017. Vol. 152. No. 15 May. P. 590-601. doi
- Статья Blythe D. A., Nikulin V. Long-range temporal correlations in neural narrowband time-series arise due to critical dynamics // Plos One. 2017 doi
- Статья Colosio M., Shestakova A., Nikulin V., Evgeny Blagovechtchenski, Klucharev V. Neural mechanisms of cognitive dissonance (revised): An EEG study // Journal of Neuroscience. 2017. Vol. 37. No. 20. P. 5074-5083. doi
- Глава книги Novikov P.A., Nazarova M.A., Nikulin V.V. Software for quantitative assessment of the results of navigated TMS mapping, in: Когнитивная наука в Москве: новые исследования. Материалы конференции 15 июня 2017 г. [б.и.], 2017. P. 582-585.
- Глава книги Nazarova M., Novikov P., Gusarovas I., Blagoveshchensky E., Nikulin V. Test-retest reliability of nTMS multi-muscle motor mapping, in: Когнитивная наука в Москве: новые исследования. Материалы конференции 15 июня 2017 г. [б.и.], 2017. P. 447-450.
- Статья Назарова М. А., Благовещенский Е. Д., Никулин В. В., Митина М. В. Транскраниальная магнитная стимуляция с электроэнцефалографией: методология, экспериментальные и клинические возможности // Нервно-мышечные болезни. 2017. Т. 7. № 4. С. 20-32. doi
- Статья Fedele T., Blagoveshchensky E., Nazarova M., Iscan Z., Moiseeva V., Nikulin V. Long-Range Temporal Correlations in the amplitude of alpha oscillations predict and reflect strength of intracortical facilitation: Combined TMS and EEG study // Neuroscience. 2016. Vol. 331. No. 7. P. 109-119. doi
- Статья Wojciech S., Blythe D., Curio G., Müller K., Blankertz B., Nikulin V. Multiscale temporal neural dynamics predict performance in a complex sensorimotor task // Neuroimage. 2016. Vol. 141. P. 291-303. doi
- Статья Iscan Z., Nazarova M., Fedele T., Blagoveshchensky E., Nikulin V. Pre–stimulus alpha oscillations and inter-subject variability of motor evoked potentials in single- and paired-pulse TMS paradigms // Frontiers in Human Neuroscience. 2016. Vol. 10. No. 504. P. 1-11. doi
- Статья Blythe D., Nikulin V., Müller K. Robust Statistical Detection of Power-Law Cross-Correlation // Scientific Reports. 2016. Vol. 6. No. 27089 doi
- Статья Tugin S., Cesar Hernandez-Pavon J., Ilmoniemi J R., Nikulin V. Visual deviant stimuli produce mismatch responses in the amplitude dynamics of neuronal oscillations. // Neuroimage. 2016 doi
- Статья Nazarova M., Piradov M. A., Novikov P., Konovalov R. N., Blagoveshchensky E., Nikulin V. Multimodal neuroimaging study of hand motor recovery prognosis in chronic ischemic stroke patients // European Journal of Neurology, Supplement. 2015. Vol. 22. No. S1. P. 34-35. doi
- Статья Schaworonkow N., Blythe D., Kegeles J., Curio G., Nikulin V. Power-Law Dynamics in Neuronal and Behavioral Data Introduce Spurious Correlations // Human Brain Mapping. 2015. Vol. 36. No. 8. P. 2901-2914. doi
- Статья von Carlowitz-Ghori K., Bayraktaroglu Z., Waterstraat G., Curio G., Nikulin V. Voluntary control of corticomuscular coherence through neurofeedback: a proof-of-principle study in healthy subjects // Neuroscience. 2015. Vol. 290. P. 243-254.
- Статья Dabek J., Nikulin V., Ilmoniemi R. Detecting millisecond-range coupling delays between brainwaves in terms of power correlations by magnetoencephalography. // Journal of Neuroscience Methods. 2014. No. 235. P. 10-24. doi
- Статья Haufe S., Dähne S., Nikulin V. Dimensionality reduction for the analysis of brain oscillations // Neuroimage. 2014. No. 101. P. 583-597. doi
- Статья Dähne S., Nikulin V., Ramírez D., Schreier P. J., Müller K., Haufe S. Finding brain oscillations with power dependencies in neuroimaging data // Neuroimage. 2014. No. 96. P. 334-348. doi
- Статья Thiel S. D., Bitzer S., Nierhaus T., Kalberlah C., Preusser S., Neumann J., Nikulin V., van der Meer E., Villringer A., Pleger B. Hysteresis as an implicit prior in tactile spatial decision making // Plos One. 2014. Vol. 2. No. 9. P. e89802. doi
- Статья Nikulin V., Fedele T., Mehnert J., Lipp A., Noack C., Steinbrink J., Curio G. Monochromatic Ultra-Slow (~ 0.1 Hz) oscillations in the human electroencephalogram and their relation to hemodynamics // Neuroimage. 2014. No. 97. P. 71-80.
- Статья Blythe D., Haufe S., Müller K., Nikulin V. The effect of linear mixing in the EEG on Hurst exponent estimation // Neuroimage. 2014. Vol. 99. No. 1. P. 377-387. doi
- Статья Haufe S., Nikulin V., Müller K., Nolte G. A critical assessment of connectivity measures for EEG data: a simulation study // Neuroimage. 2013. No. 64. P. 120-133.
- Статья Hohlefeld F., Huchzermeyer C., Huebl J., Schneider G., Nolte G., Brücke C., Schönecker T., Kühn A., Curio G., Nikulin V. Functional and effective connectivity in the subthalamic nucleus of patients with Parkinson’s Disease // Neuroscience. 2013. No. 250. P. 320-332.
- Статья Hohlefeld F. U., Ehlen F., Krugel L. K., Kühn A. A., Curio G., Klostermann F., Nikulin V. Modulation of cortical neural dynamics during thalamic deep brain stimulation in patients with essential tremor // NeuroReport. 2013. Vol. 13. No. 24. P. 751-756.
- Статья Nierula B., Hohlefeld F. U., Curio G., Nikulin V. No somatotopy of somatosensory alpha oscillation responses to differential finger stimulation // Neuroimage. 2013. No. 76. P. 294-303.
- Статья Nikulin V., Jönsson E. G., Brismar T. Attenuation of long-range temporal correlations in the amplitude dynamics of alpha and beta neuronal oscillations in patients with schizophrenia // Neuroimage. 2012. Vol. 1. No. 61. P. 162-169.
- Статья Nikulin V., Nolte G., Curio G. Cross-frequency decomposition: A novel technique for studying interactions between neuronal oscillations with different frequencies // Clinical Neurophysiology. 2012. Vol. 7. No. 123. P. 1353-1360.
- Статья Hardstone R., Poil S., Schiavone G., Jansen R., Nikulin V., Mansvelder H. D., Linkenkaer-Hansen K. Detrended fluctuation analysis: a scale-free view on neuronal oscillations // Frontiers in Psychology. 2012. No. 3. P. 450.
- Статья Hohlefeld F. U., Huebl J., Huchzermeyer C., Schneider G., Schönecker T., Kühn A. A., Curio G., Nikulin V. Long-range temporal correlations in the subthalamic nucleus of patients with Parkinson’s disease // European Journal of Neuroscience. 2012. Vol. 6. No. 36. P. 2812-2821.
Публикации
2014
- Waterstraat G, Burghoff M, Fedele T, Nikulin VV,Scheer HJ. Curio G. Non-invasive single-trial detection of human neocortical population spikes. NeuroImage (In Press).
- Dabek J, Nikulin VV, Ilmoniemi RJ. Detecting millisecond-range coupling delays between brainwaves in terms of power correlations by magnetoencephalography. J Neurosci Methods. 2014; 235:10-24.
- Hohlefeld FU,Huchzermeyer C, Huebl J, Schneider GH, Bruecke C, Schoenecker T, Kuehn AA, Curio G, Nikulin VV. Interhemispheric functional interactions between the subthalamic nuclei of patients with Parkinson’s disease. EJN (In Press).Haufe S, Dähne S, Nikulin VV. Dimensionality reduction for the analysis of brain oscillations. Neuroimage 2014; 101:583-597.
- Sundgren M, Nikulin VV, Maurex L, Wahlin Å, Piehl F, Brismar T. P300 amplitude and response speed relate to preserved cognitive function in relapsing-remitting multiple sclerosis. Clinical Neurophysiology (In Press).
- Nikulin VV, Fedele T, Mehnert J, Lipp A, Noack C, Steinbrink J, Curio G. Monochromatic Ultra-Slow (~ 0.1 Hz) oscillations in the human electroencephalogram and their relation to hemodynamics. NeuroImage. NeuroImage 2014; 97: 71-80.
- Blythe DA, Haufe S, Muller KR, Nikulin VV. The effect sof linear mixing in the EEG on Hurst exponent estimation. NeuroImage (In Press).
- Dähne S, Nikulin VV, Ramírezd D, Schreier JP, Müller KR, Haufe S. Finding brain oscillations with power dependencies in neuroimaging data. NeuroImage 2014; 96: 334-348.
- Thiel SD, Bitzer S, Nierhaus T, Kalberlah C, Preusser S, Neumann J, Nikulin VV, van der Meer E, Villringer A, Pleger B. Hysteresis as an implicit prior in tactile spatial decision making.
- PLoS One. 2014 Feb 26;9: e89802.
- Dahne S, Meinecke FC, Haufe S, Hoehne J, Tangermann M, Muller KR, Nikulin VV. SPoC: a novel method for obtaining a maximized correlation between amplitude of neuronal oscillations and cognitive variables. NeuroImage 2014; 86:111–122.
- Herrojo Ruiz M, Brücke C, Nikulin VV, Schneider GH, Kühn AA. Beta-band amplitude oscillations in the human internal globus pallidus support the encoding of sequence boundaries during initial sensorimotor sequence learning. NeuroImage, 2014; 85: 779–793.
- von Carlowitz-Ghori K, Bayraktaroglu Z, Hohlefeld FU, Losch F, Curio G, Nikulin VV. Corticomuscular coherence in acute and chronic stroke. Clin Neurophysiol (In Press).
- Ilmoniemi RJ, Nikulin VV. Spatiotemporal dynamics and background neuronal states of the brain: implications for neuroimaging. Imaging Med (In Press).
2013
- Nierula B, Hohlefeld FU, Curio G, Nikulin VV. A lower bound for spatial modularity of macroscopic EEG rhythms: No somatotopy of somatosensory alpha oscillation responses to differential finger stimulation. NeuroImage 2013; 76: 294–303.
- Hohlefeld FU, Ehlen F, Krugel LK, Kühn AA, Curio G, Klostermann F, Nikulin VV. Modulation of cortical neural dynamics during thalamic deep brain stimulation in patients with essential tremor
- NeuroReport 2013; 24: 751–756.
- Hohlefeld FU, Huchzermeyer C, Huebl J, Schneider GH, Nolte G, Brücke, C, Schönecker T, Kühn AA, Curio G, Nikulin VV. Functional and effective connectivity in the subthalamic nucleus of patients with Parkinson’s Disease. Neuroscience 2013; 250:320–332
- Haufe S, Nikulin VV, Müller KR, Nolte G. A critical assessment of connectivity measures for EEG data: a simulation study. NeuroImage 2013; 64:120–133.
- Bayraktaroglu Z, von Carlowitz-Gori K, Losch F, Nolte G, Curio G, Nikulin VV. It is not all about phase: amplitdue dynamics in corticomuscular interactions. NeuroImage 2013; 64: 496–504.
2012
- Hardstone R, Poil SS, Schiavone G, Jansen R, Nikulin VV, Mansvelder HD, Linkenkaer-Hansen K.Detrended fluctuation analysis: a scale-free view on neuronal oscillations. Front Physiol 2012; 3, 450.
- Hohlefeld FU, Huebl J, Huchzermeyer C, Schneider GH, Schönecker T, Kühn AA, Curio G,
- Nikulin VV. Long-range temporal correlations in the subthalamic nucleus of patients with Parkinson's Disease. European Journal of Neuroscience 2012; 36: 2812–2821.
- Nikulin VV, Jönsson EG, Brismar T. Attenuation of long-range temporal correlations in the amplitude dynamics of alpha and beta neuronal oscillations in patients with schizophrenia. NeuroImage 2012; 61: 162–169.
- Nikulin VV, Nolte G, Curio G. Cross-frequency decomposition: A novel technique for studying interactions between neuronal oscillations with different frequencies. Clin Neurophysiol 2012; 123: 1353–1360.
Как артрогрипоз влияет на активность мозга
Ученые впервые провели сравнительное исследование
Researchers Learn More about Maximizing Brain Use
Neuroscientists have come up with a new multivariate method for predicting behavioural response to a stimulus using information about the phase of preceding neuronal oscillations recorded with EEG.
Как человек меняет свое мнение
Ученые предскажут уровень когнитивного диссонанса по активности мозга.
