Trends in recurrence analysis of dynamical systems

N Marwan, KH Kraemer - The European Physical Journal Special Topics, 2023 - Springer
The last decade has witnessed a number of important and exciting developments that had
been achieved for improving recurrence plot-based data analysis and to widen its …

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 …

Age-related slowing down in the motor initiation in elderly adults

NS Frolov, EN Pitsik, VA Maksimenko, VV Grubov… - Plos one, 2020 - journals.plos.org
Age-related changes in the human brain functioning crucially affect the motor system,
causing increased reaction time, low ability to control and execute movements, difficulties in …

Functional near-infrared spectroscopy for the classification of motor-related brain activity on the sensor-level

AE Hramov, V Grubov, A Badarin, VA Maksimenko… - Sensors, 2020 - mdpi.com
Sensor-level human brain activity is studied during real and imaginary motor execution
using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation …

[HTML][HTML] Detecting metabolic thresholds from nonlinear analysis of heart rate time series: a review

G Zimatore, MC Gallotta, M Campanella… - International Journal of …, 2022 - mdpi.com
Heart rate time series are widely used to characterize physiological states and athletic
performance. Among the main indicators of metabolic and physiological states, the detection …

Detecting pattern transitions in psychological time series–A validation study on the Pattern Transition Detection Algorithm (PTDA)

K Viol, H Schöller, A Kaiser, C Fartacek, W Aichhorn… - Plos one, 2022 - journals.plos.org
With the increasing use of real-time monitoring procedures in clinical practice, psychological
time series become available to researchers and practitioners. An important interest …

Altered periodic dynamics in the default mode network in autism and attention-deficit/hyperactivity disorder

P Curtin, J Neufeld, A Curtin, M Arora, S Bölte - Biological psychiatry, 2022 - Elsevier
Background Altered resting-state functional connectivity in the default mode network (DMN)
is characteristic of both autism spectrum disorder (ASD) and attention-deficit/hyperactivity …

Quantifying instability in neurological disorders EEG based on phase space DTM function

T Cai, G Zhao, J Zang, C Zong, Z Zhang… - Computers in Biology and …, 2024 - Elsevier
Classifying individuals with neurological disorders and healthy subjects using EEG is a
crucial area of research. The current feature extraction approach focuses on the frequency …

A graph-based nonlinear dynamic characterization of motor imagery toward an enhanced hybrid BCI

SMI Hosni, SB Borgheai, J McLinden, S Zhu, X Huang… - Neuroinformatics, 2022 - Springer
Decoding neural responses from multimodal information sources, including
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), has the …

Sleep disrupts complex spiking dynamics in the neocortex and hippocampus

J González, M Cavelli, ABL Tort, P Torterolo, N Rubido - Plos one, 2023 - journals.plos.org
Neuronal interactions give rise to complex dynamics in cortical networks, often described in
terms of the diversity of activity patterns observed in a neural signal. Interestingly, the …