Measuring Cross-Frequency Coupling of EEG Signals between Different Scalp Electrode Locations during Extended Seizure Epochs

2017 ◽  
Author(s):  
Richard Robertson
Keyword(s):  
Eeg Signals ◽  
Scalp Electrode ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

Epileptic seizure detection from EEG signals with phase–amplitude cross-frequency coupling and support vector machine

2018 ◽  
Vol 32 (08) ◽  
pp. 1850086 ◽  
Author(s):  
Yang Liu ◽  
Jiang Wang ◽  
Lihui Cai ◽  
Yingyuan Chen ◽  
Yingmei Qin
Keyword(s):  
Support Vector Machine ◽  
Classification Accuracy ◽  
Epileptic Seizures ◽  
Classification Performance ◽  
Support Vector ◽  
Svm Classifier ◽  
Eeg Signals ◽  
Frequency Coupling ◽  
Phase Amplitude ◽  
Cross Frequency Coupling

As a pattern of cross-frequency coupling (CFC), phase–amplitude coupling (PAC) depicts the interaction between the phase and amplitude of distinct frequency bands from the same signal, and has been proved to be closely related to the brain’s cognitive and memory activities. This work utilized PAC and support vector machine (SVM) classifier to identify the epileptic seizures from electroencephalogram (EEG) data. The entropy-based modulation index (MI) matrixes are used to express the strength of PAC, from which we extracted features as the input for classifier. Based on the Bonn database, which contains five datasets of EEG segments obtained from healthy volunteers and epileptic subjects, a 100% classification accuracy is achieved for identifying seizure ictal from healthy data, and an accuracy of 97.67% is reached in the classification of ictal EEG signals from inter-ictal EEGs. Based on the CHB–MIT database which is a group of continuously recorded epileptic EEGs by scalp electrodes, a 97.50% classification accuracy is obtained and a raising sign of MI value is found at 6[Formula: see text]s before seizure onset. The classification performance in this work is effective, and PAC can be considered as a useful tool for detecting and predicting the epileptic seizures and providing reference for clinical diagnosis.

Frontoparietal beta amplitude modulation and its interareal cross-frequency coupling in visual working memory

Neuroscience ◽  
2021 ◽  
Author(s):  
Wei-Kuang Liang ◽  
Philip Tseng ◽  
Jia-Rong Yeh ◽  
Norden E Huang ◽  
Chi-Hung Juan
Keyword(s):  
Working Memory ◽  
Visual Working Memory ◽  
Amplitude Modulation ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

scholarly journals Delta-mediated cross-frequency coupling organizes oscillatory activity across the rat cortico-basal ganglia network

2013 ◽  
Vol 7 ◽  
Author(s):  
Jon López-Azcárate ◽  
María Jesús Nicolás ◽  
Ivan Cordon ◽  
Manuel Alegre ◽  
Miguel Valencia ◽  
...  
Keyword(s):  
Basal Ganglia ◽  
Oscillatory Activity ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

scholarly journals Greater Repertoire and Temporal Variability of Cross-Frequency Coupling (CFC) Modes in Resting-State Neuromagnetic Recordings among Children with Reading Difficulties

2016 ◽  
Vol 10 ◽  
Author(s):  
Stavros I. Dimitriadis ◽  
Nikolaos A. Laskaris ◽  
Panagiotis G. Simos ◽  
Jack M. Fletcher ◽  
Andrew C. Papanicolaou
Keyword(s):  
Resting State ◽  
Temporal Variability ◽  
Reading Difficulties ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

scholarly journals Gamma Oscillations and Their Cross-frequency Coupling in the Primate Hippocampus during Sleep

SLEEP ◽  
2015 ◽  
Vol 38 (7) ◽  
pp. 1085-1091 ◽  
Author(s):  
Saori Takeuchi ◽  
Tatsuya Mima ◽  
Rie Murai ◽  
Hideki Shimazu ◽  
Yoshikazu Isomura ◽  
...  
Keyword(s):  
Gamma Oscillations ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

Hippocampus, Theta, Gamma, and Cross-Frequency Coupling

2018 ◽  
pp. 1-11
Author(s):  
Jesse Jackson ◽  
Frances K. Skinner
Keyword(s):  
Frequency Coupling ◽  
Cross Frequency Coupling

scholarly journals Working Memory and Cross-Frequency Coupling of Neuronal Oscillations

2021 ◽  
Vol 12 ◽  
Author(s):  
Mohammed Abubaker ◽  
Wiam Al Qasem ◽  
Eugen Kvašňák
Keyword(s):  
Working Memory ◽  
Cognitive Impairment ◽  
Brain Stimulation ◽  
Large Body ◽  
Cognitive Outcomes ◽  
Essential Component ◽  
Non Invasive ◽  
Transcranial Alternating Current Stimulation ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

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). The theta-gamma neural code is an essential component of memory representations in the multi-item WM. A large body of studies have examined the association between cross-frequency coupling (CFC) across the cerebral cortices and WM performance; electrophysiological data together with the behavioral results showed the associations between CFC and WM performance. The oscillatory entrainment (sensory, non-invasive electrical/magnetic, and invasive electrical) remains the key method to investigate the causal relationship between CFC and WM. The frequency-tuned non-invasive brain stimulation is a promising way to improve WM performance in healthy and non-healthy patients with cognitive impairment. The WM performance is sensitive to the phase and rhythm of externally applied stimulations. CFC-transcranial-alternating current stimulation (CFC-tACS) is a recent approach in neuroscience that could alter cognitive outcomes. The studies that investigated (1) the association between CFC and WM and (2) the brain stimulation protocols that enhanced WM through modulating CFC by the means of the non-invasive brain stimulation techniques have been included in this review. In principle, this review can guide the researchers to identify the most prominent form of CFC associated with WM processing (e.g., theta/gamma phase-amplitude coupling), and to define the previously published studies that manipulate endogenous CFC externally to improve WM. This in turn will pave the path for future studies aimed at investigating the CFC-tACS effect on WM. The CFC-tACS protocols need to be thoroughly studied before they can be considered as therapeutic tools in patients with WM deficits.

scholarly journals Signature patterns for top-down and bottom-up information processing via cross-frequency coupling in macaque auditory cortex

2018 ◽  
Author(s):  
Christian D. Márton ◽  
Makoto Fukushima ◽  
Corrie R. Camalier ◽  
Simon R. Schultz ◽  
Bruno B. Averbeck
Keyword(s):  
Information Processing ◽  
Auditory Cortex ◽  
Predictive Coding ◽  
Low Frequency ◽  
Information Need ◽  
Top Down ◽  
Bottom Up ◽  
Low Frequencies ◽  
Frequency Coupling ◽  
Cross Frequency Coupling

AbstractPredictive coding is a theoretical framework that provides a functional interpretation of top-down and bottom up interactions in sensory processing. The theory has suggested that specific frequency bands relay bottom-up and top-down information (e.g. “γ up, β down”). But it remains unclear whether this notion generalizes to cross-frequency interactions. Furthermore, most of the evidence so far comes from visual pathways. Here we examined cross-frequency coupling across four sectors of the auditory hierarchy in the macaque. We computed two measures of cross-frequency coupling, phase-amplitude coupling (PAC) and amplitude-amplitude coupling (AAC). Our findings revealed distinct patterns for bottom-up and top-down information processing among cross-frequency interactions. Both top-down and bottom-up made prominent use of low frequencies: low-to-low frequency (θ, α, β) and low frequency-to-high γ couplings were predominant top-down, while low frequency-to-low γ couplings were predominant bottom-up. These patterns were largely preserved across coupling types (PAC and AAC) and across stimulus types (natural and synthetic auditory stimuli), suggesting they are a general feature of information processing in auditory cortex. Moreover, our findings showed that low-frequency PAC alternated between predominantly top-down or bottom-up over time. Altogether, this suggests sensory information need not be propagated along separate frequencies upwards and downwards. Rather, information can be unmixed by having low frequencies couple to distinct frequency ranges in the target region, and by alternating top-down and bottom-up processing over time.1SignificanceThe brain consists of highly interconnected cortical areas, yet the patterns in directional cortical communication are not fully understood, in particular with regards to interactions between different signal components across frequencies. We employed a a unified, computationally advantageous Granger-causal framework to examine bi-directional cross-frequency interactions across four sectors of the auditory cortical hierarchy in macaques. Our findings extend the view of cross-frequency interactions in auditory cortex, suggesting they also play a prominent role in top-down processing. Our findings also suggest information need not be propagated along separate channels up and down the cortical hierarchy, with important implications for theories of information processing in the brain such as predictive coding.

scholarly journals Thalamic theta phase alignment predicts human memory formation and anterior thalamic cross-frequency coupling

eLife ◽  
2015 ◽  
Vol 4 ◽  
Author(s):  
Catherine M Sweeney-Reed ◽  
Tino Zaehle ◽  
Jürgen Voges ◽  
Friedhelm C Schmitt ◽  
Lars Buentjen ◽  
...  
Keyword(s):  
Human Memory ◽  
Gamma Oscillations ◽  
Memory Formation ◽  
Anterior Thalamic Nucleus ◽  
Memory Processing ◽  
Phase Alignment ◽  
Theta Frequency ◽  
Frequency Coupling ◽  
Theta Phase ◽  
Cross Frequency Coupling

Previously we reported electrophysiological evidence for a role for the anterior thalamic nucleus (ATN) in human memory formation (<xref ref-type="bibr" rid="bib29">Sweeney-Reed et al., 2014</xref>). Theta-gamma cross-frequency coupling (CFC) predicted successful memory formation, with the involvement of gamma oscillations suggesting memory-relevant local processing in the ATN. The importance of the theta frequency range in memory processing is well-established, and phase alignment of oscillations is considered to be necessary for synaptic plasticity. We hypothesized that theta phase alignment in the ATN would be necessary for memory encoding. Further analysis of the electrophysiological data reveal that phase alignment in the theta rhythm was greater during successful compared with unsuccessful encoding, and that this alignment was correlated with the CFC. These findings support an active processing role for the ATN during memory formation.

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