Abnormal functional connectivity of EEG gamma band in patients with depression during emotional face processing

Li, Yingjie; Cao, Dan; Wei, Ling; Tang, Yingying; Wang, Jijun

doi:10.1016/j.clinph.2014.12.026

Cited by 99 publications

(64 citation statements)

References 68 publications

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“…In one study of MDD, EEG coherence was used to estimate the sleep EEG rhythms, which suggested that low temporal coherence in depression reflects a breakdown in the organization of sleep EEG rhythms within and between two hemispheres [27]. Li et al [7] found that the global EEG coherence of patients with MDD was significantly higher than that of healthy controls in both gamma bands. Prior EEG coherence based on discriminant function analysis (DFA) rules was used to explore possible neurophysiological differences between Asperger's Syndrome (ASP) and the Autism Spectrum Disorders (ASD) and successfully distinguished ASP and ASD populations [28].…”

Section: Complexitymentioning

confidence: 99%

“…The coherence is defined as the spectral cross-correlation between two signals normalized by their power spectra [7]. There are different measuring methods that analyze the coherence from different pairs of electrodes per frequency.…”

Section: Coherencementioning

confidence: 99%

“…In this light, exploring the neurobiological signature of MDD from multiple imaging modalities was considered to sharpen the reach of depression and develop treatments, including electroencephalogram (EEG), magnetoencephalogram (MEG), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and single photon emission computed tomography (SPECT) [4]. In recent years, the research results of MDD based on different approaches had been presented substantially such as frontal EEG asymmetry, "small-word" network characteristics, and increased/disrupted cognition connectivity network [5][6][7][8]. These results revealed neurophysiology characteristics in different aspects for depression disease and made a great contribution to the study of the depression.…”

Section: Introductionmentioning

confidence: 99%

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A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering

Jing

et al. 2017

Complexity

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A large number of studies demonstrated that major depressive disorder (MDD) is characterized by the alterations in brain functional connections which is also identifiable during the brain's "resting-state." But, in the present study, the approach of constructing functional connectivity is often biased by the choice of the threshold. Besides, more attention was paid to the number and length of links in brain networks, and the clustering partitioning of nodes was unclear. Therefore, minimum spanning tree (MST) analysis and the hierarchical clustering were first used for the depression disease in this study. Resting-state electroencephalogram (EEG) sources were assessed from 15 healthy and 23 major depressive subjects. Then the coherence, MST, and the hierarchical clustering were obtained. In the theta band, coherence analysis showed that the EEG coherence of the MDD patients was significantly higher than that of the healthy controls especially in the left temporal region. The MST results indicated the higher leaf fraction in the depressed group. Compared with the normal group, the major depressive patients lost clustering in frontal regions. Our findings suggested that there was a stronger brain interaction in the MDD group and a left-right functional imbalance in the frontal regions for MDD controls.

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Section: Complexitymentioning

confidence: 99%

Section: Coherencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering

Jing

et al. 2017

Complexity

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“…In the depressed group, activated edges were presented in the frontal regions but, according to other studies, this finding suggests that the frontal cortex is not alone in the complex neuronal processes associated with the depressive state; the superior occipital cortex also seems to be associated with cognitive processes involved in depression. 14 To support their findings, Li et al…”

Section: The Altered Brain Network In Depressive Statesmentioning

confidence: 77%

“…Research findings point to righthemisphere disorganization and deficient cognitive processing as features of in MDD. 14,17,18 In addition, results suggest that depressed individuals tend to ruminate specifically on negative information and respond with a pattern of relatively higher right frontal activity to emotional stimuli associated with withdrawal and isolation motivation. 11,[15][16][17] The studies included in this review have some limitations that should be addressed in future research.…”

Section: Discussionmentioning

confidence: 99%

Electroencephalographic findings in patients with major depressive disorder during cognitive or emotional tasks: a systematic review

Freitas

Marques

Bevilaqua

et al. 2016

Rev. Bras. Psiquiatr.

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Objective: Major depressive disorder (MDD) is a prevalent psychiatric condition characterized by multiple symptoms that cause great distress. Uncovering the brain areas involved in MDD is essential for improving therapeutic strategies and predicting response to interventions. This systematic review discusses recent findings regarding cortical alterations in depressed patients during emotional or cognitive tasks, as measured by electroencephalography (EEG). Methods: A search of the MEDLINE/PubMed and Cochrane databases was carried out using the keywords EEG and depression, confined to article title. Results: The studies identified reveal the frontal cortex as an important brain structure involved in the complex neural processes associated with MDD. Findings point to disorganization of right-hemisphere activity and deficient cognitive processing in MDD. Depressed individuals tend to ruminate on negative information and respond with a pattern of relatively higher right frontal activity to emotional stimuli associated with withdrawal and isolation. Conclusion: Patients with MDD may have altered dynamic patterns of activity in several neuroanatomical structures, especially in prefrontal and limbic areas involved in affective regulation. Identification of these alterations might help predict the response of patients to different interventions more effectively and thus maximize the effects both of pharmacotherapeutic and of psychotherapeutic strategies.

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Nonlinear Methodologies Applied to Automatic Recognition of Emotions: An EEG Review

García-Martínez

Martínez-Rodrigo

Alcaraz

et al. 2017

Lecture Notes in Computer Science

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Abnormal functional connectivity of EEG gamma band in patients with depression during emotional face processing

Cited by 99 publications

References 68 publications

A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering

A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering

Electroencephalographic findings in patients with major depressive disorder during cognitive or emotional tasks: a systematic review

Nonlinear Methodologies Applied to Automatic Recognition of Emotions: An EEG Review

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