Biomarkers Based on Comprehensive Hierarchical EEG Coherence Analysis: Example Application to Social Competence in Autism (Preliminary Results)

2021 ◽  
Author(s):  
Mo Modarres ◽  
David Cochran ◽  
David N. Kennedy ◽  
Richard Schmidt ◽  
Paula Fitzpatrick ◽  
...  
Keyword(s):  
Social Competence ◽  
Coherence Analysis ◽  
Eeg Coherence ◽  
Preliminary Results

scholarly journals Detect AD Patients by Using EEG Coherence Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Ming-Chung Ho ◽  
Tsung-Ching Chen ◽  
Chin-Fei Huang ◽  
Cheng-Hsieh Yu ◽  
Jhih-Ming Chen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Healthy Subjects ◽  
Normal Aging ◽  
Oddball Paradigm ◽  
Coherence Analysis ◽  
Eeg Coherence ◽  
Theta Band ◽  
Corticocortical Connections ◽  
Auditory Oddball ◽  
Auditory Oddball Paradigm

The purpose of this study is to discriminate mild Alzheimer’s disease (AD) patients from the normal aging. The EEG coherence was applied to analyze the data from auditory oddball paradigm to discriminate the differences of corticocortical connections between mild AD patients and healthy subjects. The results showed that the lower values of coherence were performed in mild AD patients than in the normal aging subjects, especially in theta band. The implications and suggestions are shown in this study.

Coherence analysis of EEG changes during odour stimulation in humans

1996 ◽  
Vol 110 (7) ◽  
pp. 652-656 ◽  
Author(s):  
Hirofumi Harada ◽  
Kimio Shiraishi ◽  
Toshihiko Kato ◽  
Toyoji Soda
Keyword(s):  
Broad Band ◽  
Frontal Region ◽  
Coherence Analysis ◽  
Temporal Region ◽  
Eeg Coherence ◽  
Frequency Bands ◽  
Delta Band ◽  
Eeg Changes ◽  
Eeg Recordings ◽  
And Control

AbstractIn a pilot study, EEG changes during odour administration were evaluated by coherence analysis. Ten normal adults were studied. Simultaneous recordings of 16 EEG channels with, and without, odour administration were stored on magnetic tape for further processing. EEG signals were analysed using a signal analyser. Coherence spectra were calculated between all possible channel pairs on the scalp. The amount of data was reduced by extracting broad band coherence values for five frequency bands: delta (2–3.9 Hz), theta (4–7.9 Hz), alpha 1 (8–9.9 Hz), alpha 2 (10–12.9 Hz), and beta 1 (13–17.9 Hz). Coherence values extracted from the control EEG recordings and those during odour administration were compared to evaluate the presence of any significant differences.The results demonstrated significant changes in the EEG coherence between the two control recordings (control before and control after) in the theta and beta 1 bands. These frequency bands were therefore excluded from the examination. During odorant stimulation with methyl-cyclopentenolone, the coherence in the delta band decreased in the frontal region, while that in the alpha 1 and alpha 2 bands increased in the temporal region. During odorant stimulation with scatol, the coherence in the delta band decreased in the frontal region, while that in the alpha 1 and alpha 2 bands increased between the longitudinal electrode locations. It was suggested that EEG coherence mapping may provide the basis for the development of an objective test of olfactory function in humans.

EEG coherence analysis shows hypofrontality in schizophrenic patients

1996 ◽  
Vol 6 ◽  
pp. 179
Author(s):  
J. Tauscher ◽  
P. Rappelsberger ◽  
A. Neumeister ◽  
S. Kasper
Keyword(s):  
Coherence Analysis ◽  
Eeg Coherence ◽  
Schizophrenic Patients

EEG-Coherence analysis and foreign language processing

NeuroImage ◽  
2001 ◽  
Vol 13 (6) ◽  
pp. 592 ◽  
Author(s):  
Susanne Reiterer ◽  
Peter Rappelsberger
Keyword(s):  
Foreign Language ◽  
Language Processing ◽  
Coherence Analysis ◽  
Eeg Coherence

scholarly journals EEG Coherence Analysis for Suppression of MEP Amplitude Variability in TMS

2021 ◽  
Vol 17 (06) ◽  
pp. 87
Author(s):  
Keisuke Sasaki ◽  
Yuki Fujishige ◽  
Masato Odagaki
Keyword(s):  
Cortical Neurons ◽  
Primary Motor Cortex ◽  
Cortical Excitability ◽  
Motor Evoked Potentials ◽  
Motor Evoked Potential ◽  
Coherence Analysis ◽  
Eeg Coherence ◽  
Peripheral Muscle ◽  
Online Measurements ◽  
Stimulation Method

Transcranial magnetic stimulation (TMS) is a non-invasive stimulation method for cortical neurons. When TMS is delivered to the primary motor cortex (M1), motor evoked potentials can be measured in electromyograms for the peripheral muscle. However, the motor-evoked potential (MEP) amplitudes measured by stimulations for M1 fluctuated from trial to trial. MEP fluctuations are caused by changes in cortical excitability. We hypothesized that MEP variability could be suppressed with application of TMS when cortical excitability was stable. Thus, we developed a TMS system to suppress MEP amplitude variabilities. We used electroencephalographic (EEG) online measurements with coherence analysis to obtain the similarity of cortical excitabilities. The system enables us to trigger TMS if the EEGs measured from the two channels have a high similarity in the frequency domain. In this study, we found that the suppression of MEP fluctuation was dependent on the state of cortical excitability obtained by EEG coherence analysis.

scholarly journals Development of TMS Trigger System for Suppressing MEP Fluctuation Using EEG Coherence Analysis: Algorithm Development and Validation Study (Preprint)

2021 ◽  
Author(s):  
Keisuke Sasaki ◽  
Yuki Fujishige ◽  
Yutaka Kikuchi ◽  
Masato Odagaki
Keyword(s):  
Frequency Domain ◽  
Coefficient Of Variation ◽  
Primary Motor Cortex ◽  
Motor Evoked Potential ◽  
Coherence Analysis ◽  
Eeg Coherence ◽  
Trigger System ◽  
F Test ◽  
Experimental Time ◽  
Significant Difference

BACKGROUND Transcranial magnetic stimulation (TMS), when applied over the primary motor cortex (M1) elicits a motor evoked potential (MEP) in electromyograms measured from peripheral muscles. MEP amplitude has often been observed to fluctuate trial by trial, even with a constant stimulus. Many factors cause MEP fluctuations in TMS. One of the primary factors is the weak stationarity and instability of cortical activity in the brain, from which we assumed MEP fluctuations originated. We hypothesized that MEP fluctuations must be suppressed if TMS is delivered to M1 at the time when several electroencephalogram (EEG) channels measured on the scalp have high similarity in the frequency domain. OBJECTIVE We developed a TMS triggering system for suppressing MEP fluctuations using EEG coherence analysis, which was performed to detect the EEG signal similarity between the two channels in the frequency domain. METHODS Seven healthy adults participated in the experiment to confirm whether the TMS trigger system works adequately, and the mean amplitude and coefficient of variation of the MEP were recorded and compared with the values in the control task. We also determined the experimental time under each condition and verified whether it was within the predicted time. RESULTS The coefficient of variation (CV) of MEP amplitude decreased in five out of seven subjects, and significant differences (P=.02) were confirmed in two of the subjects by performing an F-test. The CV of the experimental time required for each stimulus with threshold modification was less than that without threshold modification, and a significant difference (P<.001) was confirmed by performing an F-test. CONCLUSIONS We consequently found that MEP could be suppressed using the system developed in this study and that the TMS trigger system could also stabilize the experimental time by changing the triggering threshold automatically.

Eeg coherence analysis and field dependence

1982 ◽  
Vol 15 (3-4) ◽  
pp. 215-228 ◽  
Author(s):  
N. Colter ◽  
J.C. Shaw
Keyword(s):  
Field Dependence ◽  
Coherence Analysis ◽  
Eeg Coherence
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