Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Functional networks of the brain: from connectivity restoration to dynamic integration

AE Hramov, NS Frolov, VA Maksimenko… - Physics …, 2021 - iopscience.iop.org
A review of physical and mathematical methods for reconstructing the functional networks of
the brain based on recorded brain activity is presented. Various methods are considered, as …

Statistical properties and predictability of extreme epileptic events

NS Frolov, VV Grubov, VA Maksimenko, A Lüttjohann… - Scientific reports, 2019 - nature.com
The use of extreme events theory for the analysis of spontaneous epileptic brain activity is a
relevant multidisciplinary problem. It allows deeper understanding of pathological brain …

Nonlinear analysis of brain activity, associated with motor action and motor imaginary in untrained subjects

VA Maksimenko, A Pavlov, AE Runnova… - Nonlinear …, 2018 - Springer
Identification of brain activity associated with motor execution and, more importantly, with
motor imagery is necessary for the development of brain–computer interfaces. Most of recent …

Betweenness centrality in multiplex brain network during mental task evaluation

VV Makarov, MO Zhuravlev, AE Runnova, P Protasov… - Physical Review E, 2018 - APS
In this paper we study the structural properties of a functional network of the human brain
during the evaluation of mental tasks using the concept of betweenness centrality. We carry …

Chimera state in complex networks of bistable Hodgkin-Huxley neurons

AV Andreev, NS Frolov, AN Pisarchik, AE Hramov - Physical Review E, 2019 - APS
In this paper we study a chimera state in complex networks of bistable Hodgkin-Huxley
neurons with excitatory coupling, which manifests as a termination of spiking activity of a part …

Motor execution reduces EEG signals complexity: Recurrence quantification analysis study

E Pitsik, N Frolov, K Hauke Kraemer… - … Journal of Nonlinear …, 2020 - pubs.aip.org
The development of new approaches to detect motor-related brain activity is key in many
aspects of science, especially in brain–computer interface applications. Even though some …

Visual perception affected by motivation and alertness controlled by a noninvasive brain-computer interface

VA Maksimenko, AE Runnova, MO Zhuravlev… - PloS one, 2017 - journals.plos.org
The influence of motivation and alertness on brain activity associated with visual perception
was studied experimentally using the Necker cube, which ambiguity was controlled by the …

Disruptions in segregation mechanisms in fmri-based brain functional network predict the major depressive disorder condition

VS Khorev, SA Kurkin, G Zlateva, R Paunova… - Chaos, Solitons & …, 2024 - Elsevier
This study investigates the functional brain network in major depressive disorder using
network theory and a consensus network approach. At the macroscopic level, we found …

Neural interactions in a spatially-distributed cortical network during perceptual decision-making

VA Maksimenko, NS Frolov, AE Hramov… - Frontiers in behavioral …, 2019 - frontiersin.org
Behavioral experiments evidence that attention is not maintained at a constant level, but
fluctuates with time. Recent studies associate such fluctuations with dynamics of attention …