Abnormal brain oscillations and activation of patients with heroin use disorder during emotion regulation: The role of delta- and theta-band power

Jiang, Heng; Ding, Xiaobin; Zhao, Shan; Li, Yiyao; Bai, H. Sharada; Gao, Hongxia; Gao, Wenwen

doi:10.1016/j.jad.2022.07.018

Cited by 3 publications

(2 citation statements)

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“…Asymmetries in alpha power, particularly with eyes closed, have been linked to altered arousal and vigilance states, which are characteristic features of MDD ( Sharpley et al, 2023a ). Furthermore, theta power is associated with memory and emotional processing, and its alteration may correspond to the memory deficits and negative bias in emotional processing characteristic of MDD (H. Jiang et al, 2022 ). These electrophysiological markers offer a window into the underlying neural mechanisms of MDD and may enhance the accuracy of diagnostic procedures when combined with traditional clinical evaluations ( Pizzagalli, 2011 ; Jaworska and Protzner, 2013 ).…”

Section: Discussionmentioning

confidence: 99%

EEG-based major depressive disorder recognition by neural oscillation and asymmetry

Liu,

Zhang,

Cui

et al. 2024

Front. Neurosci.

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BackgroundMajor Depressive Disorder (MDD) is a pervasive mental health issue with significant diagnostic challenges. Electroencephalography (EEG) offers a non-invasive window into the neural dynamics associated with MDD, yet the diagnostic efficacy is contingent upon the appropriate selection of EEG features and brain regions.MethodsIn this study, resting-state EEG signals from both eyes-closed and eyes-open conditions were analyzed. We examined band power across various brain regions, assessed the asymmetry of band power between the hemispheres, and integrated these features with clinical characteristics of MDD into a diagnostic regression model.ResultsRegression analysis found significant predictors of MDD to be beta2 (16–24 Hz) power in the Prefrontal Cortex (PFC) with eyes open (B = 20.092, p = 0.011), beta3 (24–40 Hz) power in the Medial Occipital Cortex (MOC) (B = −12.050, p < 0.001), and beta2 power in the Right Medial Frontal Cortex (RMFC) with eyes closed (B = 24.227, p < 0.001). Asymmetries in beta1 (12–16 Hz) power with eyes open (B = 28.047, p = 0.018), and in alpha (8–12 Hz, B = 9.004, p = 0.013) and theta (4–8 Hz, B = −13.582, p = 0.008) with eyes closed were also significant predictors.ConclusionThe study confirms the potential of multi-region EEG analysis in improving the diagnostic precision for MDD. By including both neurophysiological and clinical data, we present a more robust approach to understanding and identifying this complex disorder.LimitationsThe research is limited by the sample size and the inherent variability in EEG signal interpretation. Future studies with larger cohorts and advanced analytical techniques are warranted to validate and refine these findings.

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Section: Discussionmentioning

confidence: 99%

EEG-based major depressive disorder recognition by neural oscillation and asymmetry

Liu,

Zhang,

Cui

et al. 2024

Front. Neurosci.

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“…Meanwhile, we found a similar scale-free effect at the delta band. Although few studies reported the association between topological deviations in the delta band and emotions, delta frequency has been shown to play an important role in emotion regulation ( Jiang et al., 2022 ; Lapomarda et al., 2022 ). Additionally, similar emotional profiles were associated with similar delta-band activities over the prefrontal and temporoparietal regions ( Hu, Wang, & Zhang, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study

Yin,

Li,

Lau

et al. 2024

JBA

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BackgroundIncreasing research has examined the factors related to smartphone use disorder. However, limited research has explored its neural basis.AimsWe aimed to examine the relationship between the topology of the resting-state electroencephalography (rs-EEG) brain network and smartphone use disorder using minimum spanning tree analysis. Furthermore, we examined how negative emotions mediate this relationship.MethodsThis study included 113 young, healthy adults (mean age = 20.87 years, 46.9% males).ResultsThe results showed that the alpha- and delta-band kappas and delta-band leaf fraction were positively correlated with smartphone use disorder. In contrast, the alpha-band diameter was negatively correlated with smartphone use disorder. Negative emotions fully mediated the relationship between alpha-band kappa and alpha-band diameter and smartphone use disorder. Furthermore, negative emotions partially mediated the relationship between delta-band kappa and smartphone use disorder. The findings suggest that excessive scale-free alpha- and delta-band brain networks contribute to the emergence of smartphone use disorder. In addition, the findings also demonstrate that negative emotions and smartphone use disorder share the same neural basis. Negative emotions play a mediating role in the association between topological deviations and smartphone use disorder.DiscussionTo the best of our knowledge, this is the first study to examine the neural basis of smartphone use disorder from the perspective of the topology of the rs-EEG brain network. Therefore, neuromodulation may be a potential intervention for smartphone use disorder.

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Awe is characterized as an ambivalent experience in the human behavior and cortex: integrated virtual reality-electroencephalogram study

Yi,

Han,

et al. 2024

Preprint

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Understanding complex emotions, characterized by the co-occurrence of positive and negative feelings, is crucial for unlocking the full spectrum of human affective experiences. However, the behavior and neural representation of ambivalent feelings, particularly during awe, remain elusive. To address this gap, we combined awe-inducing virtual reality clips, electroencephalogram, and a deep learning-based dimensionality reduction technique (N= 43). Behaviorally, awe ratings were precisely predicted by the duration and intensity of ambivalent feelings, not by single valence metrics. In the electrophysiological analysis, we identified participant- and clip-specific latent neural spaces sharing valence representation structures across individuals and stimuli. In these spaces, ambivalent feelings during awe were distinctly represented, and the variability in their distinctiveness specifically predicted awe ratings. Additionally, frontal delta oscillations mainly engaged in differentiating valence representations. Our findings demonstrate that awe is fundamentally an ambivalent experience reflected in both behavior and distinct patterns of electrophysiological activity. This work provides a new framework for understanding complex emotions and their neural underpinnings, with potential implications for affective neuroscience and mental health research.

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Abnormal brain oscillations and activation of patients with heroin use disorder during emotion regulation: The role of delta- and theta-band power

Cited by 3 publications

References 54 publications

EEG-based major depressive disorder recognition by neural oscillation and asymmetry

EEG-based major depressive disorder recognition by neural oscillation and asymmetry

Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study

Awe is characterized as an ambivalent experience in the human behavior and cortex: integrated virtual reality-electroencephalogram study

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