Depression-Related Brain Connectivity Analyzed by EEG Event-Related Phase Synchrony Measure

Li, Yuezhi; Cheng, Kang; Qu, Xingda; Zhou, Yuwei; Wang, Wuyi; Hu, Yong

doi:10.3389/fnhum.2016.00477

Cited by 34 publications

(22 citation statements)

References 37 publications

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“…That is similar to our results, in which intrahemispheric coherence was lower for delta band in depressive patients. Also, Li et al [18] stated that decrease in delta in major depression indicated impairment of the connection between the frontal and parietal/ temporal/occipital regions. He explained that the increase in theta, alpha and beta in the frontal/ prefrontal sites might reflect the compensatory mechanism to maintain normal cognitive performance.…”

Section: Discussionmentioning

confidence: 99%

“…EEG coherence studies in patients with depression showed different results. Some studies for patients with depressive disorder reported reduced coherence values compared to healthy controls [15][16]; other studies showed significantly higher overall or partial coherence in patients with major depressive disorder as compared to controls [17][18][19]. Opposite to those studies, Suhhova et al [20] demonstrated no sig-INTER-AND INTRA-HEMISPHERIC EEG COHERENCE STUDY IN ADULTS WITH NEUROPSYCHIATRIC DISORDERS nificant changes in the EEG coherence between healthy subjects and patients with depression.…”

Section: Introductionmentioning

confidence: 99%

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Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders

Markovska-Simoska

Pop‐Jordanova

Pop-Jordanov

2018

Prilozi

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Functional connectivity between different regions of the brain in the resting state has been a recent topic of interest in neurophysiological research. EEG coherence happened to be an useful tool for measuring changes in neuro-psycho-physiological functioning which are not detectable by simply measuring amplitude or power spectra. The aim of our study was to investigate the changes in the EEG coherence in groups of different mental disorders such as: depression, general anxiety disorder, ADHD, Asperger syndrome and headaches, compared to control group. All measures were made in two conditions: eye opened (EO) and eyes closed (EC). The obtained results show that in EO condition there is a significantly lower coherence for delta waves between analyzed groups. For theta coherence only for Asperger syndrome we found lower coherence compared to control group, ADHD and headaches in parietal region (P3-P4). Obtained results for intrahemispheric coherence have shown that there was significantly lower coherence in both conditions for delta and theta bands in almost all sites for Asperger’s syndrome, and opposite increased intrahemispheric coherence for patients with headaches (for delta band in the anterior regions and for theta band in the posterior regions). ADHD patients expressed lower delta inter-hemispheric coherence in frontal regions, and increased coherence of theta in central regions but increased delta coherence in posterior regions only in EO condition. For depressive and anxiety patients we found decreased intrahemispheric coherence for EO condition for delta brain waves all over the cortex. Concerning the coherence in anxiety patients in our current study we have obtained hypo coherence in centro-parieto-occipital region only for delta in inter-hemispheric coherence and also lower delta coherence through the cortex for intrahemispheric coherence. Our findings for interhemispheric hyper coherence in subjects with depression specifically for alpha and beta bands were confirmed in other studies. We suggest that EEG coherence analysis could be a sensitive parameter in the detection of electrophysiological abnormalities in patients with anxiety, depression, ADHD, Asperger syndrome and headaches. These results can confirm the development of QEEG state and trait biomarkers for psychiatric disorders.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders

Markovska-Simoska

Pop‐Jordanova

Pop-Jordanov

2018

Prilozi

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“…In the resting-state condition, major depression is characterized by unique EEG oscillations in beta frequencies that are dominant in relation to delta, theta, and alpha oscillations 7 , and this oscillatory pattern was never seen in healthy subjects. Another study has reported increased theta and beta phase synchronization in major depression related to attentional deficit in the visual oddball task 12 . In the present study, we hypothesized that disorganization of oscillation synchronization with abnormal theta and beta oscillation synchronization would be identifiable in a neuronal network involved in working memory processing in major depression, and that this would provide new insights into the unstable state of cognitive processing and advance our understanding of functional aspect of beta oscillations in the brain.…”

Section: Introductionmentioning

confidence: 98%

Beta oscillations in major depression – signalling a new cortical circuit for central executive function

Cheng

Wei

et al. 2017

Sci Rep

Self Cite

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This study aimed to examine alterations in electroencephalography (EEG) phase synchronization in working memory processing in depressed patients. Sixty-four-channel EEG signals were recorded from 33 depressed patients and 32 healthy controls during a visual n-back task. Alterations in functional connections in the patients were investigated using event-related phase coherence in terms of the phase synchronization index (PSI). Compared with the control subjects, the depressed patients showed a lower task-dependent increase in the PSI of delta, theta, and alpha oscillations in a frontoparietal network, but a higher task-dependent increase in the PSI of beta oscillations in the frontoparietal network. Additionally, depressed patients showed a lower task-dependent decrease in the PSI of delta, theta, alpha, and beta oscillations in centro-parieto-occipital sites. Insufficient phase synchronization and desynchronization during working memory processing reflects impairments in cortical inhibition, memory, and attention efficiency in major depression, while the abnormal increase in phase synchronization in beta oscillations in the frontoparietal network may indicate a new cortical circuit concerned with the repair of impaired ability in attention, memory retention, and working memory central executive processing. These findings present a compensatory mechanism for impaired cognitive function in major depression, and advance our understanding of functional aspect of beta oscillations.

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“…They may seem focused externally, but their mental focus may be influenced by the sad aspects of the video. However, another study by Li et al found that higher Beta activities were found in connection with electrodes at the dorsolateral prefrontal cortical or temporal regions [23].…”

Section: Results and Discussion 31 Phq-9 Screening Score And Eeg Measurementioning

confidence: 95%

“…The low Alpha EEG amplitude at these electrode channels may be due to that these subject are less sensitive to be in contact with the surround environment as they are more focused with their inner selves [14]. Research by Li et al discovered opposite findings where those with major depressive disorder showed widespread and significant increases in Alpha and Theta band [23]. The mean EEG amplitudes of Beta () for the four (4) different depressed groups are presented in Figure 5.…”

Section: Results and Discussion 31 Phq-9 Screening Score And Eeg Measurementioning

confidence: 98%

Early Detection of Depression using Screening Tools and Electroencephalogram (EEG) Measurements

Ming

Bahar

et al. 2020

IJIE

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Mental illness can be defined as a type of health condition that causes mild to severe disturbances in thoughts and/or behavior, resulting in an ability to cope with one life's ordinary demands and routines. Mental illnesses are presented in many forms. There are more than two hundred (200) classified forms of mental illnesses that exist in the world and more common disorders include are depression, generalized anxiety disorder, bipolar disorder, schizophrenia and eating Abstract: Mental illness refers to mental disorder that causes mild to severe disturbances in thoughts and behavior, resulting in the inability to cope with ordinary demands and daily life routines. Among the wide spectrum of mental health conditions, depression was found to have the highest prevalence globally. The current practice of depression detection depends on screening tools which are either physician-administered or self-administered and behavioral observations. Both methods are widely used but relies on subjective interpretation. Thus, the method may lack the reliability and accuracy of detecting depression which may lead to incorrect diagnosis of medications. Many mental illness patients still suffer from their mental conditions as well as the side effects of medications during the treatment process. Physiological measurement methods, such as electroencephalogram (EEG) measurements were found to be able to evaluate the condition of patients suffering from mental illness through recorded brain waves. The paper sought to investigate the relationship between brainwaves and depression and to propose an alternative method to further evaluate the condition of patients who suffer from depression in a more accurate and effective way. Subjects underwent an initial screening to evaluate and classify their mental health condition based on the score obtained from the screening tools-Patient Health Questionnaire (PHQ)-9. Subjects also underwent an EEG experiment with a given video-watching stimulus to evaluate their brain activity. The study proves that increased depression severity subjects have shown distinctly lower Alpha waves at almost all electrode channels and comparatively lower Beta and Theta in the frontal region. This shows that there is a relationship between mental illness and brainwaves activities. Despite that, the findings from the study showed that there were no strong association found between mean EEG amplitudes and the score from PHQ-9 which suggest that the current practice which only depends on subjective methods may not be sufficient for depression diagnosis. Using a more objective method showed that there are strong associations found between mean EEG amplitudes and the proposed EEG scoring especially in Alpha waves. There were also strong association between the EEG scoring and the EEG amplitudes at all electrode channels in Alpha waves. The use of EEG measurement may be considered as an effective and more accurate method to support the current practice in detecting early signs of mental illness in patients, specifically de...

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Depression-Related Brain Connectivity Analyzed by EEG Event-Related Phase Synchrony Measure

Cited by 34 publications

References 37 publications

Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders

Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders

Beta oscillations in major depression – signalling a new cortical circuit for central executive function

Early Detection of Depression using Screening Tools and Electroencephalogram (EEG) Measurements

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