Functional coupling of the orbitofrontal cortex and the basolateral amygdala mediates the association between spontaneous reappraisal and emotional response

Gao, Wei; Biswal, Bharat B.; Chen, Sheng Dong; Wu, Xin; Jia, Yuan

doi:10.1016/j.neuroimage.2021.117918

Cited by 11 publications

(5 citation statements)

References 85 publications

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“…In this study, the left lateral orbitofrontal cortex, the left superior parietal gyrus, the right cuneus, the right postcentral gyrus, and the left pars opercularis were identified as central nodes in the gamma band reappraisal network. In the study by Gao et al (2021), the functional coupling of the orbitofrontal cortex and the basolateral amygdala was found to mediate the association between spontaneous reappraisal and emotional response. The left superior parietal gyrus is a part of attention and executive control networks, coordinating attention under competing conditions and voluntary orienting of attention (Corbetta and Shulman, 2002).…”

Section: Figurementioning

confidence: 96%

Source localization and functional network analysis in emotion cognitive reappraisal with EEG-fMRI integration

Zhang

Jiang

et al. 2022

Front. Hum. Neurosci.

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BackgroundThe neural activity and functional networks of emotion-based cognitive reappraisal have been widely investigated using electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). However, single-mode neuroimaging techniques are limited in exploring the regulation process with high temporal and spatial resolution.ObjectivesWe proposed a source localization method with multimodal integration of EEG and fMRI and tested it in the source-level functional network analysis of emotion cognitive reappraisal.MethodsEEG and fMRI data were simultaneously recorded when 15 subjects were performing the emotional cognitive reappraisal task. Fused priori weighted minimum norm estimation (FWMNE) with sliding windows was proposed to trace the dynamics of EEG source activities, and the phase lag index (PLI) was used to construct the functional brain network associated with the process of downregulating negative affect using the reappraisal strategy.ResultsThe functional networks were constructed with the measure of PLI, in which the important regions were indicated. In the gamma band source-level network analysis, the cuneus, the lateral orbitofrontal cortex, the superior parietal cortex, the postcentral gyrus, and the pars opercularis were identified as important regions in reappraisal with high betweenness centrality.ConclusionThe proposed multimodal integration method for source localization identified the key cortices involved in emotion regulation, and the network analysis demonstrated the important brain regions involved in the cognitive control of reappraisal. It shows promise in the utility in the clinical setting for affective disorders.

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Section: Figurementioning

confidence: 96%

Source localization and functional network analysis in emotion cognitive reappraisal with EEG-fMRI integration

Zhang

Jiang

et al. 2022

Front. Hum. Neurosci.

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“…The caudate body, caudate head, and mediodorsal nucleus of the thalamus were defined using the Talaraich atlas in WFU Pick Atlas, and the Nacc was defined using the IBASPM71 atlas in Pick Atlas. The BLA was defined in Pick Atlas as a 3.5 mm sphere centered at (x = −26, y = −5, z = −23 for left BLA; x = 29,y = −3, z = −23 for right BLA), as in previous studies on these region (e.g., Gao et al, 2021). All ROIs were bilateral; unilateral ROIs were combined using the FSL -maths function.…”

Section: Analytic Plan Fmri Data Preprocessing and Analysismentioning

confidence: 99%

Pathways to adolescent social anxiety: Testing interactions between neural social reward function and perceived social threat in daily life

Sequeira,

Silk,

Jones

et al. 2024

Dev Psychopathol

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Recent theories suggest that for youth highly sensitive to incentives, perceiving more social threat may contribute to social anxiety (SA) symptoms. In 129 girls (ages 11–13) oversampled for shy/fearful temperament, we thus examined how interactions between neural responses to social reward (vs. neutral) cues (measured during anticipation of peer feedback) and perceived social threat in daily peer interactions (measured using ecological momentary assessment) predict SA symptoms two years later. No significant interactions emerged when neural reward function was modeled as a latent factor. Secondary analyses showed that higher perceived social threat was associated with more severe SA symptoms two years later only for girls with higher basolateral amygdala (BLA) activation to social reward cues at baseline. Interaction effects were specific to BLA activation to social reward (not threat) cues, though a main effect of BLA activation to social threat (vs. neutral) cues on SA emerged. Unexpectedly, interactions between social threat and BLA activation to social reward cues also predicted generalized anxiety and depression symptoms two years later, suggesting possible transdiagnostic risk pathways. Perceiving high social threat may be particularly detrimental for youth highly sensitive to reward incentives, potentially due to mediating reward learning processes, though this remains to be tested.

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“…It is further interesting to note that recent evidence highlights the relevance of the connectivity between the OFC and the amygdala-a critical region for emotion processing-in the context of reappraisal. For example, Gao et al (2021) have showed that the functional coupling between orbitofrontal cortex and amygdala is associated with use of reappraisal. Also, Kanske and colleagues (2021) showed decrease activity in the amygdala and increased activity in the orbitofrontal cortex during reappraisal.…”

Section: Temporo-parahippocampal-orbitofrontal Network For Reappraisalmentioning

confidence: 99%

Decoding reappraisal and suppression from neural circuits: A combined supervised and unsupervised machine learning approach

Ghomroudi

Scaltritti

Grecucci

2023

Cogn Affect Behav Neurosci

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Emotion regulation is a core construct of mental health and deficits in emotion regulation abilities lead to psychological disorders. Reappraisal and suppression are two widely studied emotion regulation strategies but, possibly due to methodological limitations in previous studies, a consistent picture of the neural correlates related to the individual differences in their habitual use remains elusive. To address these issues, the present study applied a combination of unsupervised and supervised machine learning algorithms to the structural MRI scans of 128 individuals. First, unsupervised machine learning was used to separate the brain into naturally grouping grey matter circuits. Then, supervised machine learning was applied to predict individual differences in the use of different strategies of emotion regulation. Two predictive models, including structural brain features and psychological ones, were tested. Results showed that a temporo-parahippocampal-orbitofrontal network successfully predicted the individual differences in the use of reappraisal. Differently, insular and fronto-temporo-cerebellar networks successfully predicted suppression. In both predictive models, anxiety, the opposite strategy, and specific emotional intelligence factors played a role in predicting the use of reappraisal and suppression. This work provides new insights regarding the decoding of individual differences from structural features and other psychologically relevant variables while extending previous observations on the neural bases of emotion regulation strategies.

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Functional coupling of the orbitofrontal cortex and the basolateral amygdala mediates the association between spontaneous reappraisal and emotional response

Cited by 11 publications

References 85 publications

Source localization and functional network analysis in emotion cognitive reappraisal with EEG-fMRI integration

Source localization and functional network analysis in emotion cognitive reappraisal with EEG-fMRI integration

Pathways to adolescent social anxiety: Testing interactions between neural social reward function and perceived social threat in daily life

Decoding reappraisal and suppression from neural circuits: A combined supervised and unsupervised machine learning approach

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