Nonstationary nature of the brain activity as revealed by EEG/MEG: methodological, practical and conceptual challenges

AY Kaplan, AA Fingelkurts, AA Fingelkurts, SV Borisov… - Signal processing, 2005 - Elsevier
Revealing the functional meaning of EEG and MEG signals' nonstationarity and metastability
is one of the major topics in current brain research. Indeed, the explicit quasi-stationary …

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

J Alastruey, PH Charlton, V Bikia… - American Journal …, 2023 - journals.physiology.org
Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals
contain a wealth of information on the cardiovascular (CV) system that can be exploited to …

Topological filtering of dynamic functional brain networks unfolds informative chronnectomics: a novel data-driven thresholding scheme based on orthogonal minimal …

SI Dimitriadis, C Salis, I Tarnanas… - Frontiers in …, 2017 - frontiersin.org
The human brain is a large-scale system of functionally connected brain regions. This
system can be modeled as a network, or graph, by dividing the brain into a set of regions, or …

A novel biomarker of amnestic MCI based on dynamic cross-frequency coupling patterns during cognitive brain responses

SI Dimitriadis, NA Laskaris, MP Bitzidou… - Frontiers in …, 2015 - frontiersin.org
The detection of mild cognitive impairment (MCI), the transitional stage between normal
cognitive changes of aging and the cognitive decline caused by AD, is of paramount clinical …

Dynamic functional connectivity

AA Ioannides - Current opinion in neurobiology, 2007 - Elsevier
Recent studies show that anatomical and functional brain networks exhibit similar small-
world properties. However, the networks that are compared often differ in what the nodes …

Timing in cognition and EEG brain dynamics: discreteness versus continuity

AA Fingelkurts, AA Fingelkurts - Cognitive Processing, 2006 - Springer
This article provides an overview of recent developments in solving the timing problem
(discreteness vs. continuity) in cognitive neuroscience. Both theoretical and empirical …

Phase synchronization of the ongoing EEG and auditory EP generation

BH Jansen, G Agarwal, A Hegde, NN Boutros - Clinical Neurophysiology, 2003 - Elsevier
Objective: We investigated the role of phase synchronization of the spontaneous
electroencephalogram (EEG) in auditory evoked potential (EP) generation in a sample of …

RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing

K Georgiadis, FP Kalaganis, VP Oikonomou… - Brain Informatics, 2022 - Springer
Neuromarketing exploits neuroimaging techniques so as to reinforce the predictive power of
conventional marketing tools, like questionnaires and focus groups …

Minimum spanning tree reflects the alterations of the default mode network during Alzheimer's disease

K Ciftci - Annals of biomedical engineering, 2011 - Springer
This study analyzes the connectivity pattern of the default mode network (DMN) in patients
with Alzheimer's disease (AD) in comparison with young and elderly controls using the …

Mining time-resolved functional brain graphs to an EEG-based chronnectomic brain aged index (CBAI)

SI Dimitriadis, CI Salis - Frontiers in human neuroscience, 2017 - frontiersin.org
The brain at rest consists of spatially and temporal distributed but functionally connected
regions that called intrinsic connectivity networks (ICNs). Resting state …