Daria Kleeva
- Research Fellow: Institute for Cognitive Neuroscience / Centre for Bioelectric Interfaces
- 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)
Courses (2024/2025)
- Mathematical Aspects of EEG and MEG Based Neuroimaging (Mago-Lego; 3 module)Eng
- Mathematical Aspects of EEG and MEG Based Neuroimaging (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 3 module)Eng
- Past Courses
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
Courses (2022/2023)
- 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
Courses (2021/2022)
- Mathematical Aspects of EEG and MEG Based Neuroimaging (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 3 module)Eng
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.