20 years of ordinal patterns: Perspectives and challenges

I Leyva, JH Martínez, C Masoller, OA Rosso… - Europhysics …, 2022 - iopscience.iop.org
In 2002, in a seminal article, Bandt and Pompe proposed a new methodology for the
analysis of complex time series, now known as Ordinal Analysis. The ordinal methodology is …

Entropy and fractal analysis of brain-related neurophysiological signals in Alzheimer's and Parkinson's disease

A Averna, S Coelli, R Ferrara, S Cerutti… - Journal of neural …, 2023 - iopscience.iop.org
Brain-related neuronal recordings, such as local field potential, electroencephalogram and
magnetoencephalogram, offer the opportunity to study the complexity of the human brain at …

Longitudinal resting-state EEG in amyloid-positive patients along the Alzheimer's disease continuum: considerations for clinical trials

EP Scheijbeler, W de Haan, CJ Stam… - Alzheimer's Research & …, 2023 - Springer
Background To enable successful inclusion of electroencephalography (EEG) outcome
measures in Alzheimer's disease (AD) clinical trials, we retrospectively mapped the …

An integrated information theory index using multichannel EEG for evaluating various states of consciousness under anesthesia

K Dong, D Zhang, Q Wei, G Wang, X Chen… - Computers in Biology …, 2023 - Elsevier
Background: The integrated information theory (IIT) of consciousness introduces a measure
Φ to quantify consciousness in a physical system. Directly related to this, general anesthesia …

Consistency of local activation parameters at sensor-and source-level in neural signals

V Rodríguez-González, C Gómez… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Although magnetoencephalography and electroencephalography (M/EEG)
signals at sensor level are robust and reliable, they suffer from different degrees of distortion …

Local signal variability and functional connectivity: Sensitive measures of the excitation-inhibition ratio?

AM van Nifterick, EP Scheijbeler, AA Gouw… - Cognitive …, 2024 - Springer
A novel network version of permutation entropy, the inverted joint permutation entropy
(JPEinv), holds potential as non-invasive biomarker of abnormal excitation-inhibition (EI) …

Symbolic information approach applied to human intracranial data to characterize and distinguish different congnitive processes

ÍRSC Da Paz, PFA Silva, HB de Lucas, SHA Lira… - Physical Review E, 2024 - APS
How the human brain processes information during different cognitive tasks is one of the
greatest questions in contemporary neuroscience. Understanding the statistical properties of …

Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer's disease?

EP Scheijbeler, AM van Nifterick, CJ Stam… - Network …, 2022 - direct.mit.edu
Increasing evidence suggests that measures of signal variability and complexity could
present promising biomarkers for Alzheimer's disease (AD). Earlier studies have however …

A novel recognition strategy for epilepsy EEG signals based on conditional entropy of ordinal patterns

X Liu, Z Fu - Entropy, 2020 - mdpi.com
Epilepsy is one of the most ordinary neuropathic illnesses, and electroencephalogram
(EEG) is the essential method for recording various brain rhythm activities due to its high …

White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane

ETC Chagas, M Queiroz‐Oliveira… - International …, 2022 - Wiley Online Library
This article serves two purposes. Firstly, it surveys the Bandt and Pompe methodology for
the statistical community, stressing topics that are open for research. Secondly, it contributes …