Daria Kleeva
- Research Fellow:Institute for Cognitive Neuroscience / Centre for Bioelectric Interfaces
- Postgraduate Student:Faculty of Social Sciences / School of Psychology
- Daria Kleeva has been at HSE University since 2020.
Awards and Accomplishments
Winner of the HSE University Best Russian Research Paper Competition – 2023
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2022-2023)
Postgraduate Studies
3rd year of study
Approved topic of thesis: Estimation of functional connectivity from MEG/EEG data and anatomical priors
Academic Supervisor: Ossadtchi, Alexey
Courses (2023/2024)
- Mathematical Aspects of EEG and MEG Based Neuroimaging (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 3 module)Eng
- Mathematical Aspects of EEG and MEG Based Neuroimaging (Mago-Lego; 3 module)Eng
- Past Courses
Courses (2022/2023)
Courses (2021/2022)
Publications17
- Article Kleeva D., Soghoyan G., Biktimirov A., Piliugin N., Matvienko Y., Sintsov M., Lebedev M. Modulations in high-density EEG during the suppression of phantom-limb pain with neurostimulation in upper limb amputee // Cerebral Cortex. 2024. Vol. 34. No. 2. Article bhad504. doi
- Article Kleeva D., Ninenko I., Mikhail A. Lebedev. Resting-state EEG recorded with gel-based vs. consumer dry electrodes: spectral characteristics and across-device correlations // Frontiers in Neuroscience. 2024. Vol. 18. Article 1326139. doi
- Article Kostanian D., Daria Kleeva, Soghoyan G., Rebreikina A., Olga Sysoeva. Opposite effects of rapid auditory stimulation on tetanized and non-tetanized tone of adjacent frequency: Mismatch negativity study // Plos One. 2023. Vol. 18. No. 8. Article e0289964. doi
- Article Altukhov D., Kleeva D., Ossadtchi A. PSIICOS projection optimality for EEG and MEG based functional coupling detection // Neuroimage. 2023. Vol. 280. Article 120333. doi
- Article Таланцева О., Романова Р., Шурдова Е., Долгорукова Т., Сологуб П., Титова О., Kleeva D., Григоренко Е. The global prevalence of autism spectrum disorder: A three-level meta-analysis // Frontiers in Psychiatry. 2023. Vol. 14. P. 01-11. doi
- Chapter Клеева Д. Ф., Кубяк А. Е., Федосов Н. П., Осадчий А. Е. Прецизионная медицина эпилепсии -- от эпилептогенных сетей до кортикальных волн // В кн.: Сборник тезисов XXIV съезда физиологического общества им. И. П. Павлова, 11–15 сентября 2023 года. СПб. : ООО "Издательство ВВМ", 2023. С. 310-310.
- Article Chirkov V., Kryuchkova A., Koptelova A., Stroganova T., Kuznetsova A., Kleeva D., Alexei Ossadtchi, Fedele T. Data-driven approach for the delineation of the irritative zone in epilepsy in MEG // Plos One. 2022. Vol. 17. No. 10. Article e0275063. doi
- Article Kleeva D., Soghoyan G., Komoltsev I., Sinkin M., Ossadtchi A. Fast parametric curve matching (FPCM) for automatic spike detection // Journal of Neural Engineering. 2022. Vol. 19. No. 3. Article 036003. doi
- Article Kleeva, D. F., Rebreikina A. B., Soghoyan G. A., Kostanian D., Neklyudova A. N., Sysoeva O. V. Generalization of sustained neurophysiological effects of short-term auditory 13-Hz stimulation to neighbouring frequency representation in humans // European Journal of Neuroscience. 2022. No. 55. P. 175-188. doi
- Chapter Kleeva D., Ossadtchi A. Data-Driven Parametric Statistical Testing of Functional Connectivity Between Brain Sources Characterized by Activity with Close-to-Zero Phase Lags, in: Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics: Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020, October 10-16, 2020, Moscow, Russia Vol. 1358. Cham: Springer, 2021. doi P. 679-686. doi
- Chapter Anastasiya Paltarzhitskaya, Kleeva D., Osadchaya M., Lebedev M., Myachykov A., Ossadtchi A. Exploring time interval estimation for familiar and unfamiliar musical pieces, in: 2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN). IEEE, 2021. doi P. 76-78. doi
- Article Клеева Д. Ф., Ребрейкина А. Б., Сысоева О. В. Компоненты вызванного потенциала в исследовании перцептивного научения // Современная зарубежная психология. 2020. Т. 9. № 2. С. 34-45. doi
- Article Клеева Д. Ф. Проявление неосознаваемых постдиктивных свойств восприятия на примере иллюзорного движения. ЭЭГ-исследование // Шаги/Steps. 2019. Т. 5. № 1. С. 86-103. doi
- Chapter Клеева Д. Ф. ЭЭГ-характеристики восприятия иллюзорного движения // В кн.: Материалы Международного молодежного научного форума «ЛОМОНОСОВ-2019» / Отв. ред.: И. Алешковский, А. Андриянов, Е. Антипов. М. : МГУ, МАКС Пресс, 2019. Гл. 7. С. 1-3.
- Chapter Клеева Д. Ф., Кануников И. Е. Взаимосвязь между энтропией ЭЭГ и психологическими признаками депрессии и тревожности // В кн.: Нейронаука для медицины и психологии: XIV Международный междисциплинарный конгресс. МАКС Пресс, 2018. doi С. 248-248.
- Chapter Клеева Д. Ф., Фомичева Д. А., Окуджава Л. Р., Кануников И. Е. Иллюзии восприятия и принципы интегративной нейрофизиологии // В кн.: Материалы Всероссийской молодежной конференции с международным участием "Современные аспекты интегративной физиологии". ВВМ, 2018. С. 51-53.
- Chapter Клеева Д. Ф. Энтропия биопотенциалов коры головного мозга как фактор воздействия на психологические характеристики индивида // В кн.: Мультидисциплинарность в науке и искусстве: тенденции и перспективы. Материалы конференции VI Студенческие смольные чтения. Издательство Санкт-Петербургского государственного университета, 2017. С. 52-53.
Our article was published in the NeuroImage!
The article "PSIICOS projection optimality for EEG and MEG based functional coupling detection" was published in the journal NeuroImage.
Authors: Dmitrii Altukhov, Daria Kleeva, Alexei Ossadtchi.
Early-Career HSE Researchers to Attend Neuroscience School
Two of the winners, Konstantin Sorokin, doctoral student and visiting lecturer of the HSE Faculty of Computer Science and research assistant at the HSE International Laboratory of Algebraic Topology and its Applications, and Daria Kleeva, doctoral student of the HSE Faculty of Social Sciences and research assistant at the HSE Institute of Cognitive Neuroscience Centre for Bioelectric Interfaces, spoke to the HSE News Service about why attending the School matters so much for them.
Russian Scientists Create Biomimetic Algorithm to Find Epileptogenic Areas of the Brain
Researchers from the HSE University Centre for Bioelectric Interfaces have designed a new method for detecting diagnostic markers of epilepsy, called interictal spikes, using EEG and MEG. Capable of accounting for various errors and artefacts, this method constitutes a valuable addition to the arsenal of means for automatic analysis of electrophysiological recordings in epilepsy patients, especially when the data are noisy. Precise localisation of epileptogenic cortical structures can enhance the effectiveness of neurosurgical interventions. The study was published in the Journal of Neural Engineering.