Results 1 to 10 of about 122,548 (234)
Cross-Frequency Coupling and Intelligent Neuromodulation. [PDF]
Cross-frequency coupling (CFC) reflects (nonlinear) interactions between signals of different frequencies. Evidence from both patient and healthy participant studies suggests that CFC plays an essential role in neuronal computation, interregional interaction, and disease pathophysiology.
Yeh CH +5 more
europepmc +5 more sources
Cross-Frequency Coupling in Developmental Perspective. [PDF]
It is generally assumed that different electroencephalogram (EEG) frequency bands are somehow related to different computational modes in the brain. Integration of these computational modes is reflected in the phenomenon of cross-frequency coupling (CFC).
Knyazev GG +6 more
europepmc +6 more sources
Neural Cross-Frequency Coupling Functions [PDF]
Although neural interactions are usually characterized only by their coupling strength and directionality, there is often a need to go beyond this by establishing the functional mechanisms of the interaction. We introduce the use of dynamical Bayesian inference for estimation of the coupling functions of neural oscillations in the presence of noise. By
Tomislav Stankovski +4 more
openaire +5 more sources
Theta-gamma coupling: nonlinearity as a universal cross-frequency coupling mechanism. [PDF]
The Cross Frequency Coupling (CFC) phenomenon is defined as a statistical correlation between characteristic parameters neural oscillations. This study demonstrates and analyzes the nonlinear mechanism of the CFC, with a focus on the coupling between slow and fast oscillations, as a model for theta-gamma coupling.
Sheremet A, Qin Y.
europepmc +5 more sources
A neural mass model of cross frequency coupling [PDF]
Electrophysiological signals of cortical activity show a range of possible frequency and amplitude modulations, both within and across regions, collectively known as cross-frequency coupling. To investigate whether these modulations could be considered as manifestations of the same underlying mechanism, we developed a neural mass model.
Chehelcheraghi, Mojtaba +3 more
openaire +6 more sources
Working Memory and Cross-Frequency Coupling of Neuronal Oscillations. [PDF]
Working memory (WM) is the active retention and processing of information over a few seconds and is considered an essential component of cognitive function. The reduced WM capacity is a common feature in many diseases, such as schizophrenia, attention deficit hyperactivity disorder (ADHD), mild cognitive impairment (MCI), and Alzheimer's disease (AD ...
Abubaker M, Al Qasem W, Kvašňák E.
europepmc +6 more sources
Abnormal cross-frequency coupling in the tinnitus network [PDF]
Neuroimaging studies have identified networks of brain areas and oscillations associated with tinnitus perception. However, how these regions relate to perceptual characteristics of tinnitus, and how oscillations in various frequency bands are associated with communications within the tinnitus network is still incompletely understood.
Ilya eAdamchic +6 more
openaire +5 more sources
Multivariate cross-frequency coupling via generalized eigendecomposition [PDF]
Abstract This paper presents a new framework for analyzing cross-frequency coupling in multichannel electrophysiological recordings. The generalized eigendecomposition-based cross-frequency coupling framework (gedCFC) is inspired by source separation algorithms combined with dynamics of mesoscopic neurophysiological processes.
Cohen, M.X., Cohen, M.X.
openaire +4 more sources
What can neurofeedback and transcranial alternating current stimulation reveal about cross-frequency coupling? [PDF]
In recent years, the dynamics and function of cross-frequency coupling (CFC) in electroencephalography (EEG) have emerged as a prevalent area of investigation within the research community. One possible approach in studying CFC is to utilize non-invasive
Maria Orendáčová, Eugen Kvašňák
exaly +4 more sources
Cross-frequency coupling in real and virtual brain networks [PDF]
Information processing in the brain is thought to rely on the convergence and divergence of oscillatory behaviors of widely distributed brain areas. This information flow is captured in its simplest form via the concepts of synchronization and desynchronization and related metrics.
Viktor K. Jirsa, Viktor Müller
openaire +4 more sources

